Get Certified in Machine Learning - Course in Bangalore
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Machine Learning Course in Bangalore

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  • Perceive Best Training on Novice to Excellent level Advanced Classes.
  • Precedent level Training sessions on Advanced Machine Learning.
  • Most high-grade curriculum Composed by Industrial Expert in Machine Learning .
  • Endurance Access for Student’s Portal, Study Materials, Videos & Top MNC Interview Question.
  • Best Approaches on Trending Advanced Machine Learning Concepts with Nominal Expense.
  • Delivered by 9+ years of Machine Learning Certified Expert | 12402+ Students Trained & 350+ Recruiting Clients.
  • Next Machine Learning Batch to Begin this week – Enroll Your Name Now!

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Upcoming Batches

29- May - 2023

Weekdays Regular

08:00 AM & 10:00 AM Batches

(Class 1Hr - 1:30Hrs) / Per Session

31- May - 2023

Weekdays Regular

08:00 AM & 10:00 AM Batches

(Class 1Hr - 1:30Hrs) / Per Session

03- Jun - 2023

Weekend Regular

(10:00 AM - 01:30 PM)

(Class 3hr - 3:30Hrs) / Per Session

03- Jun - 2023

Weekend Fasttrack

(09:00 AM - 02:00 PM)

(Class 4:30Hr - 5:00Hrs) / Per Session

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Online Courses by Certified Experts

Determine From Experts, Train On Projects & Get Placed in IT Company

  • With the support of a technical career and with relevant industry skills and practical training, we prepare people for their dream job.
  • All parts of the Machine Learning Online Course from scratch to advanced are helped by our professional teachers.
  • Get assistance from our experts on the preparation of interviews, evaluations, mock interviews, case studies, and career guidelines to get the most recent jobs in major MNCs.
  • We will provide you with full knowledge of the technologies for software testing such as Machine Learning Web Driver, TestNG, Maven, AutoIT, Machine Learning Grid, Appium.
  • We equip you with training on how to work, identify mistakes, and provide excellent software with real-time projects.
  • We develop the abilities to grow actual careers and a well-organized and planned course to deal with real-world issues.
  • Concepts: Data Analytics, R programming, Data Manipulation in R, Data Import techniques in R, Exploratory data Analysis, Basics of Statistics & Linear & Logistic Regression, Data Mining: Clustering techniques, Regression & Classification, Anova & Sentiment Analysis, Data Mining: Decision Trees and Random Forest, Project work.
  • Classroom Batch Training
  • One To One Training
  • Online Training
  • Customized Training
  • Enroll Now

This is How ACTE Students Prepare for Better Jobs


Course Objectives

The Machine Learning Certification course is designed to help learners develop the skills they need to understand and apply the principles of Machine Learning. The course covers topics such as data analysis, data pre-processing, feature engineering, supervised and unsupervised learning, and model evaluation. Learners will also gain practical experience in developing and deploying Machine Learning models and applying them to real-world problems. The course also provides a comprehensive introduction to the most popular Machine Learning tools and libraries, such as TensorFlow, Keras, and Scikit-learn. Upon completion, learners will be equipped with the skills to build Machine Learning models and use them to solve complex problems.

Online courses can help you learn machine learning by providing you with a structured curriculum, access to experienced instructors and mentors, and an online community of learners who are working on projects similar to yours. Online courses can also help you learn how to apply machine learning algorithms to real-world problems, and how to use various data science and programming tools to develop machine learning models. Additionally, online courses can provide you with opportunities to practice and hone your skills through interactive exercises and projects.

This training covers the basics of Python programming language, including concepts such as variables, data types, functions, classes, objects, conditionals, loops, and more. Additionally, it covers topics related to working with databases and data structures, web scraping, and processing data from APIs. Finally, the training covers topics related to creating web applications, deploying them to the cloud, and building graphical user interfaces.

  • 1. Data Pre-processing and Cleaning
  • 2. Supervised Learning Algorithms (e.g. Linear/Logistic Regression, Support Vector Machines, Decision Trees, Random Forests, Neural Networks, etc.)
  • 3. Unsupervised Learning Algorithms (e.g. Clustering, Dimensionality Reduction, etc.)
  • 4. Model Evaluation and Selection
  • 5. Hyperparameter Tuning

After completing this course, you may apply for the following job roles: Technical Support Engineer, Software Developer, Web Developer, System Analyst, Database Administrator, Network Administrator, Software Tester, Business Analyst, Data Analyst, Quality Assurance Engineer, and Project Manager.

You can get assistance for preparing a Machine Learning Training Interview by taking online courses, attending workshops, joining online forums, and reading blogs and articles on Machine Learning. Additionally, connecting with experienced Machine Learning professionals in the industry and asking them for advice can also be beneficial.

Yes, there are job opportunities for Machine Learning Training. Companies are looking for professionals with the knowledge and skills to build and maintain machine learning systems. These professionals often work in data science departments and are responsible for designing and developing machine learning algorithms, researching and developing new techniques, and training and deploying models.

8..What is the Machine Learning related course that ACTE Offer?

ACTE offers a comprehensive Machine Learning with Python course. This course provides an introduction to Machine Learning, basic Python programming, and an overview of the different Machine Learning algorithms. The course also covers topics such as supervised and unsupervised learning, hyperparameter tuning, and model evaluation. The course also includes a hands-on project to help students gain practical experience with the concepts they have covered.

9. Is Machine Learning Trends that will Lead the Tech Industry in 2023?

Yes, machine learning trends are expected to lead the tech industry in 2023. Machine learning technologies such as Natural Language Processing (NLP), computer vision, recommendation systems, and robotics are expected to become even more prevalent in the tech industry. As machine learning technologies become increasingly accessible to businesses, their use is expected to grow significantly in the coming years. Additionally, AI-driven automation and virtual assistants are expected to become commonplace in a variety of industries.

10. Is there a demand for Machine Learning Training?

There is a high demand for Machine Learning Training. Companies and businesses are increasingly turning to Machine Learning to improve their products, services, and processes, so they need highly-skilled professionals to help them in this area. Additionally, Machine Learning is becoming a popular area of study for students, so many universities and other educational institutions are offering training programs in this field.

11. How does the learning Machine Learning course helps in accelerating my career growth?

Learning Machine Learning will help you develop the skills needed to stay competitive in the job market. Machine Learning is becoming increasingly important in many industries, and it is becoming increasingly necessary for professionals to have the knowledge and skills to utilize this technology. A Machine Learning course can help you understand the fundamentals of this powerful technology and help you develop the skills needed to succeed in the industry. Additionally, a Machine Learning course can help you stay current with the latest advancements in the field, furthering your career growth.

12. What are the Prerequisites to learning Machine Learning?

The prerequisites to learn machine learning include knowledge of basic programming languages such as Python and R, knowledge of probability and statistics, an understanding of linear algebra and calculus, knowledge of basic data structures, and an understanding of algorithms and machine learning concepts. It also helps to have an understanding of software engineering, database management, and software development. Finally, having a background in data science, artificial intelligence, and natural language processing can be beneficial.

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Overview of Machine Learning Training in Bangalore

Our ACTE Provides, Machine Learning course for students with a comprehensive overview of the field of Machine Learning. It introduces the fundamental concepts and principles of Machine Learning, its applications, and the algorithms used in Machine Learning. It also covers various Machine Learning models and techniques, such as supervised learning, unsupervised learning, and reinforcement learning. The course also discusses popular Machine Learning tools and frameworks such as Scikit-Learn and TensorFlow. The course is intended to provide the necessary theoretical and practical knowledge to help students become proficient in the field of Machine Learning. Through the course, students will gain an understanding of the various concepts and techniques of Machine Learning, and how to apply them to real-world problems. In this course, the ACTE software training institute arranges the placement training for the student and We provide professional certifications.


Additional Info

What are the Concepts of Machine Learning?

The main concepts of machine learning are prediction, classification, clustering, and optimization. Prediction involves using existing data to predict future outcomes. Classification involves assigning a label or class to an input. Clustering involves grouping data points into clusters according to certain criteria. Optimization involves finding the best solution to a given problem. All of these concepts are used to develop predictive models that can be used to make predictions or decisions. Machine learning algorithms can be supervised, unsupervised, or semi-supervised, depending on the type of problem being solved. Supervised learning algorithms use labeled data to train the model, while unsupervised algorithms use unlabeled data. Semi-supervised learning combines both aspects to improve accuracy.

  • 1. Supervised Learning: Supervised learning is a type of machine learning algorithm that uses a known set of input data and known responses to the data to predict responses to new data.
  • 2. Unsupervised Learning: Unsupervised learning is a machine learning technique used to discover patterns and relationships in data sets without being given any prior knowledge or labeled data.
  • 3. Reinforcement Learning: Reinforcement learning is a type of machine learning algorithm that allows agents to learn from their environment by trial and error.
  • 4. Deep Learning: Deep learning is a subset of machine learning that uses multi-layered artificial neural networks to learn from data and make decisions.
  • 5. Feature Engineering: Feature engineering is the process of transforming raw data into features that better represent the underlying problem to the predictive models.
  • 6. Model Evaluation: Model evaluation is the process of assessing the performance of a machine learning model on a given dataset.
  • 7. Hyperparameter Tuning: Hyperparameter tuning is the process of selecting the best set of hyperparameters for a machine learning model.

Why Do We Need a Machine Learning Certification Course?

A Machine Learning Certification course provides the necessary foundation and knowledge to build models and algorithms with real-world applications. It also provides an understanding of the fundamentals of machine learning and how to use machine learning tools and techniques to solve problems. Certification courses provide a comprehensive overview of the concepts and principles of machine learning, enabling students to become proficient in the use of machine learning for their projects. The certification also provides a platform for students to practice and develop their skills and capabilities, enabling them to become successful machine learning practitioners.

Machine Learning Certification courses offer an excellent opportunity to build foundational skills and knowledge in this rapidly advancing field. They provide an opportunity to become proficient in the use of algorithms, tools, and techniques used in data analysis and predictive modeling. The courses can be used to gain a comprehensive understanding of the concepts and fundamentals of Machine Learning. The certification also serves to provide evidence of competency in the field and can be used to validate skills and knowledge when applying for positions related to Machine Learning. Individuals can also stay up to date with the latest advancements in the field as well as gain insight from industry experts. This can be especially beneficial for those looking to advance their career or secure a new job in the field. The course will also help individuals develop the skills needed to develop, implement and control Machine Learning applications. A Machine Learning Certification course is a great way to gain a well-rounded understanding of the field and to stay up to date with the latest trends and advancements. It can be used to validate skills and knowledge, as well as to help further an individual’s career.

Required Machine Learning Technologies:

Machine learning technologies are an increasingly popular and powerful set of tools used to automate and optimize data-driven decision-making. These technologies rely on algorithms and statistical models to identify patterns in data and make predictions based on those patterns. Common examples of machine learning technologies include decision trees, neural networks, support vector machines, and deep learning.

These technologies can be used to solve a wide range of problems such as predicting customer churn, providing personalized recommendations, and detecting fraud. Machine learning technologies can be deployed in applications such as web search, speech recognition, computer vision, natural language processing, and robotics. Machine learning technologies are also used to improve the accuracy and speed of existing computer applications.

  • 1. Supervised Machine Learning: This technology is used to train machines to make predictions based on previous data. It is used for classification and regression tasks. It uses labeled data to learn patterns and determine the output for new input data. Supervised learning algorithms include decision trees, random forests, support vector machines, and neural networks.
  • 2. Unsupervised Machine Learning: This technology is used to discover patterns and relationships in data without using labels. It is used for clustering and association tasks. Unsupervised learning algorithms include k-means clustering, hierarchical clustering, and association rules.
  • 3. Reinforcement Learning: This technology is used to train machines to take action in an environment to maximize a reward. It is used to solve complex control and optimization tasks. Reinforcement learning algorithms include Q-learning, SARSA, and Actor-critic.
  • 4. Transfer Learning: This technology is used to apply knowledge from one domain to another. It is used to improve the performance of a machine learning system by transferring knowledge from a pre-trained model. Transfer learning algorithms include fine-tuning and domain adaptation.

Which is Best for the Machine Learning Job Roles?

The best Machine Learning job roles depend heavily on the specific skills and experience of the individual. Generally, these roles can be divided into two main categories: Data Scientists and Machine Learning Engineers. Data Scientists are responsible for exploring and understanding data, formulating models, building machine learning systems, and deploying them in production. They are often the creative minds behind developing new ideas for projects and coming up with creative solutions to data-related problems.

Data Scientists typically have strong analytical and problem-solving skills, as well as knowledge and experience with data analysis, programming, and machine learning. Machine Learning Engineers focus on the engineering side of Machine Learning, such as developing algorithms and building production-ready models. They are responsible for designing, developing, and maintaining ML systems, creating efficient data pipelines, and deploying ML models into production. Machine Learning Engineers must be experienced in software engineering, programming, and statistical methods. Both of these roles require an understanding of mathematics, statistics, and computer programming, as well as an ability to think logically and analytically.

  • 1. Data Scientist: Data scientists use machine learning algorithms and techniques to analyze data and develop predictive models. They use this data to identify patterns, trends, and correlations in order to make better decisions.
  • 2. Machine Learning Engineer: Machine learning engineers design, develop, and test machine learning algorithms. They research and develop new machine learning technologies and architectures to improve the accuracy and speed of predictive models.
  • 3. Data Analyst: Data analysts use machine learning algorithms to identify patterns and trends in large datasets. They use this information to make better decisions about products, services, and customer experience.
  • 4. Software Engineer: Software engineers develop and implement software applications that use machine learning algorithms and techniques. They design and develop the underlying code of these applications, as well as ensure they are properly deployed and tested.

Machine Learning Prerequisites:

In order to get started with machine learning, a few core concepts and skills are essential. First and foremost, one must have a strong understanding of basic mathematics, particularly linear algebra, and calculus, as these are used heavily in machine learning algorithms. Knowledge of programming (preferably Machine Learning) is also critical, as most machine learning projects involve developing custom algorithms and working with large datasets. Familiarity with probability and statistics are necessary for understanding the data at the core of machine learning projects. It is also important to have a strong foundation in artificial intelligence, including concepts such as neural networks, natural language processing, and reinforcement learning.

Understanding the basics of these topics will make it easier to understand more complex machine-learning algorithms and techniques. It is important to have a good grasp of optimization techniques, such as gradient descent. These techniques are used to improve the accuracy of machine learning models, so it is essential to be familiar with them. Having a firm understanding of these topics is essential for anyone looking to get started with machine learning. With the right knowledge, anyone can become an expert in the field.

  • 1) Knowledge of basic statistics and linear algebra: Understanding concepts such as mean, variance, probability distribution, linear regression, and related linear algebra operations is important in order to understand the basic concepts of machine learning.
  • 2) Programming: Knowing a programming language such as Machine Learning or R is essential for implementing machine learning algorithms.
  • 3) Data preprocessing: Preprocessing data is an important step in machine learning as it helps in making the data more suitable for the algorithms.
  • 4) Data visualization: Visualizing data helps in better understanding the patterns and trends in the data.
  • 5) Evaluation and optimization: Understanding the evaluation metrics and optimization techniques are necessary to fine-tune the machine learning model.

Machine Learning Engineering Responsibilities:

Machine Learning Engineers are responsible for designing and developing machine learning models that can accurately predict outcomes and automate decision-making processes. This involves researching and understanding the data available to them, selecting relevant features and selecting the right model or combination of models to best solve the problem. They must also be able to evaluate the performance of the models and improve them as necessary. Machine Learning Engineers are responsible for deploying and maintaining the models in production.

This includes building pipelines and systems for collecting, processing, and streaming data, as well as designing algorithms and architectures for deploying the models in an efficient manner. They must also work in close collaboration with software engineers to integrate the models into the existing application, and with data engineers to ensure the data available is suitable for the models.

  • 1. Design and develop machine learning models that can be used to solve real-world problems.
  • 2. Create and maintain large datasets for model training and validation.
  • 3. Perform exploratory data analysis to identify and clean data anomalies.
  • 4. Develop automated tests for machine learning models.
  • 5. Develop pipelines for data pre-processing and feature engineering.
  • 6. Deploy machine learning models into production environments.
  • 7. Monitor and evaluate machine learning model performance.
  • 8. Identify potential areas of improvement in existing models.
  • 9. Work with software engineers to integrate machine learning models into applications.
  • 10. Research and evaluate new technologies, algorithms, and methods for machine learning.

Salary Package for Machine Learning Course Completion:

Completing a machine learning course can be a rewarding experience and can help to open up a variety of career opportunities. The salary package for a machine learning course completion depends on the type of job, level of experience, and other factors. Entry-level jobs in machine learning typically pay a starting salary of around RS 45,000 to RS 50,000 per year. This can increase significantly depending on experience, the location of the job, and the employer. For experienced professionals, salaries can range from RS 75,000 to RS 150,000 per year.

When it comes to job titles, roles in machine learning range from data scientists, software engineers, and research scientists to data analysts, machine learning engineers, and machine learning specialists. Salaries for these roles also vary greatly depending on the type of job, level of experience, and other factors. For more experienced professionals, employers may offer higher salaries, bonuses, and benefits such as stock options or 401k matching. Some employers may offer relocation assistance or signing bonuses to attract top talent.

The salary package for a machine learning course completion depends on a variety of factors including the type of job, level of experience, and industry. Experienced professionals can often command higher salaries, bonuses, and benefits. Additionally, employers may offer signing bonuses or relocation assistance to attract top talent.

Online Classes:

Our ACTE provides Learning about machine learning online and has several advantages for students who want to expand their knowledge of the field. Students who have trouble keeping up in a typical classroom environment may benefit from the flexibility of an online course by working through the topics at their own pace. Video lectures, slides, and other online course materials are commonplace, allowing students to watch and rewatch lectures and study content whenever it is most convenient for them. There are several advantages to taking a machine learning course online if you want to learn more about the field and how it can be used in your career. Online courses may be a terrific method for students to master technology in a convenient and inexpensive manner by offering access to information at any time, from any device, and from anywhere in the globe. The availability of supplementary materials, such as tutorials, simulations, and interactive exercises, may further aid students in their grasp of the technology's underlying principles and algorithms.

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Key Features

ACTE Bangalore offers Machine Learning Training in more than 27+ branches with expert trainers. Here are the key features,
  • 40 Hours Course Duration
  • 100% Job Oriented Training
  • Industry Expert Faculties
  • Free Demo Class Available
  • Completed 500+ Batches
  • Certification Guidance

Authorized Partners

ACTE TRAINING INSTITUTE PVT LTD is the unique Authorised Oracle Partner, Authorised Microsoft Partner, Authorised Pearson Vue Exam Center, Authorised PSI Exam Center, Authorised Partner Of AWS and National Institute of Education (nie) Singapore.


Syllabus of Machine Learning Course in Bangalore
Module 1: Introduction to Data Analytics
  • Business Analytics, Data, Information
  • Understanding Business Analytics and R
  • Compare R with other software in analytics
  • Install R
  • Perform basic operations in R using command line
  • Learn the use of IDE R Studio
  • Use the ‘R help’ feature in R
Module 2: Introduction to R programming
  • Variables in R
  • Scalars
  • Vectors
  • Matrices
  • List
  • Data frames
  • Using c, Cbind, Rbind, attach and detach functions in R
  • Factors
Module 3: Data Manipulation in R
  • Data sorting
  • Find and remove duplicates record
  • Cleaning data
  • Recoding data
  • Merging data
  • Slicing of Data
  • Merging Data
  • Apply functions
Module 4: Data Import techniques in R
  • Reading Data
  • Writing Data
  • Basic SQL queries in R
  • Web Scraping
Module 5: Exploratory data Analysis
  • Box plot
  • Histogram
  • Pareto charts
  • Pie graph
  • Line chart
  • Scatterplot
  • Developing Graphs
Module 6: Basics of Statistics & Linear & Logistic Regression
  • Basics of Statistics
  • Inferencial statistics
  • Probability
  • Hypothesis
  • Standard deviation
  • Outliers
  • Correlation
  • Linear & Logistic Regression
Module 7: Data Mining: Clustering techniques, Regression & Classification
  • Introduction to Data Mining
  • Understanding Machine Learning
  • Supervised and Unsupervised Machine Learning Algorithms
  • K- means clustering
Module 8: Anova & Sentiment Analysis
  • Anova
  • Sentiment Analysis
Module 9: Data Mining: Decision Trees and Random Forest
  • Decision Tree
  • Concepts of Random Forest
  • Working of Random Forest
  • Features of Random Forest
Module 10: Project work
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Hands-on Real Time Machine Learning Projects

Project 1
Enron Investigation Project.

The ultimate objective of investigating the Enron dataset is to be able to predict cases of fraud or unsafe business practices far in advance, so those responsible can be punished.

Project 2
Voice-based Virtual Assistant for Windows Project.

It is a useful tool for search, for reminders, and to write notes just by speaking it up. Intelligent Window assistant is used to create voice apps for intelligent assistant.

Project 3
Facial Emotion Recognition and Detection Project.

The objective is to classify each face based on the emotion shown in the facial expression into one of seven categories and use OpenCV to automatically detect faces in images.

Project 4
Stock Price Prediction Project.

The recent trend in stock market prediction technologies is the use of machine learning which makes predictions based on the values of current stock market indices.

Our Engaging Hiring Partner for Placements

ACTE offers position openings as extra to each understudy/proficient who finished our homeroom or web based preparing. A portion of our candidates are working in these organizations recorded underneath.
  • Career guideness, open positions will be imparted to you regulary.
  • Be work prepared resume arranged by specialists.
  • Begin with the  machine learning program and investigate everything in regards to the program.
  • Mock tests you will write to test your abilities, Mock meetings to help your certainty.
  • Pre-imperative any one can learn Machine learning and land position in top firms .
  • Projects you work on genuine contextual investigations.

Get Certified By Machine Learning & Industry Recognized ACTE Certificate

All prominent global corporations throughout the world have ACTE Certification. We provide freshers and corporate interns once they have completed the academic and practical courses. The professional certificate program in machine learning and artificial intelligence is a short program designed for those with prior machine learning experience as well as newbies to the area, allowing them to study the most up-to-date information.

Our ACTE certificates are renowned throughout the world. It will improve the value of your CV, and you will be able to obtain top employment positions in leading MNCs throughout the world with the help of this certification. Only after successful completion of our Machine Learning online program and relevant practical-based projects will the certification be provided.

The benefits of machine learning certification include:

  • Demonstrating proficiency in machine learning technologies to potential employers
  • Enhancing your knowledge and understanding of machine learning and its applications
  • Learning best practices and techniques in using machine learning algorithms
  • Improving your technical skills in developing and deploying machine learning models
  • Keeping up with the latest trends and developments in machine learning
  • Developing problem-solving and decision-making skills
  • Increasing your chances of getting hired for machine learning roles

Machine learning certification is becoming increasingly sought after in the IT industry as organizations look to develop and use machine learning technology to automate processes, improve customer service and gain competitive advantages. As such, those who have the necessary skills and knowledge to develop and manage machine learning systems can often command higher salaries than those without. Additionally, the number of machine learning projects is expected to increase significantly over the coming years, meaning that those with the right skills will continue to be in high demand.

I earned my Machine Learning certification by completing a series of online courses and exams. I also completed a project and presented the results to a panel of experts.

Yes, there are several online courses and certifications that offer fundamental machine learning training. Coursera and edX both offer machine learning courses that can help you earn a certification. Additionally, the Artificial Intelligence Nanodegree program from Udacity provides hands-on projects and certification at the end.

The best certification with a Machine Learning course depends on the individual's goals. Some popular certifications are:

  • Google Professional Machine Learning Engineer
  • Microsoft Professional Program for Artificial Intelligence
  • Udacity Artificial Intelligence Nanodegree Program
  • Coursera Machine Learning Specialization
  • AWS Machine Learning Specialty Certification
  • IBM Data Science Professional Certificate.

Complete Your Course

a downloadable Certificate in PDF format, immediately available to you when you complete your Course

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a physical version of your officially branded and security-marked Certificate.

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About Qualified Machine Learning Instructor

  • Customized preparing modules to suite your task learner needs.
  • Flexible and profoundly  practical sections was conducted by our instructor.
  • Delivered by ensured trainer and specialists each with over 10+ years of experience.
  • Courses are conveyed by proficient and exceptionally qualified educators, with broad involvement with their separate ventures.
  • Our Instructors is all around knowledgeable about being applicants engaged and finishing tasks to hit cutoff times and targets.
  • Real time involved reasonable experience preparing resume and assists Best Training in Machine Learning to the applicants.

Machine Learning Course Reviews

Our ACTE Bangalore Reviews are listed here. Reviews of our students who completed their training with us and left their reviews in public portals and our primary website of ACTE & Video Reviews.


Software Engineer

ACTE is one of the best institutes in Porur for Machine Learning as their learning process starts from the very basic and then keeps on getting complex. The internship really helps me to gain more knowledge in real-time projects. If anyone is looking to do a Machine Learning / Data Science/ Artificial Intelligence course I would highly recommend this institute.



ACTE is very good platform to achieve knowledge in depth and They are providing placement for getting Job my experience and i have completed Machine Learning course in Bangalore and ACTE was wonderful not only in terms of understanding the technology but also provides hands on practice to work on technology practically and the faculty is Extremely good and they help students in each and every way possible


Machine learning classes taught by the ACTE classes are excellent. They guided me very well in the project. They have shown the right path for the industry ready. Thankyou very much to ACTE Institute in Velachery.



ACTE is the best place to kick start Machine Learning and other Data Science courses in Anna Nagar. Their guidence is good and at the same time providing better lab practice.Which helps you make informed predictions and assure you to move forward,Honestly, I would definitely recommend this place for Data Science with Python, Data Science using R,Big Data,Machine Learning,Business Analytics..


This is good Machine Learning training institute in Chennai.This institute provided training on all latest modules in Machine Learning , Big Data and Data Science Class room and online.Got training on solving real world problems

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Machine Learning Course FAQs

Looking for better Discount Price?

Call now: +91 93833 99991 and know the exciting offers available for you!
  • ACTE is the Legend in offering placement to the students. Please visit our Placed Students List on our website
  • We have strong relationship with over 700+ Top MNCs like SAP, Oracle, Amazon, HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc.
  • More than 3500+ students placed in last year in India & Globally
  • ACTE conducts development sessions including mock interviews, presentation skills to prepare students to face a challenging interview situation with ease.
  • 85% percent placement record
  • Our Placement Cell support you till you get placed in better MNC
  • Please Visit Your Student Portal | Here FREE Lifetime Online Student Portal help you to access the Job Openings, Study Materials, Videos, Recorded Section & Top MNC interview Questions
ACTE gives Certificate for completing a course
  • Certification is Accredited by all major Global Companies
  • ACTE is the unique Authorized Oracle Partner, Authorized Microsoft Partner, Authorized Pearson Vue Exam Center, Authorized PSI Exam Center, Authorized Partner Of AWS and National Institute of Education (NIE) Singapore
  • The entire Machine Learning training has been built around Real Time Implementation
  • You Get Hands-on Experience with Industry Projects, Hackathons & lab sessions which will help you to Build your Project Portfolio
  • GitHub repository and Showcase to Recruiters in Interviews & Get Placed
All the instructors at ACTE are practitioners from the Industry with minimum 9-12 yrs of relevant IT experience. They are subject matter experts and are trained by ACTE for providing an awesome learning experience.
No worries. ACTE assure that no one misses single lectures topics. We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities. If required you can even attend that topic with any other batches.
We offer this course in “Class Room, One to One Training, Fast Track, Customized Training & Online Training” mode. Through this way you won’t mess anything in your real-life schedule.

Why Should I Learn Machine Learning Course At ACTE?

  • Machine Learning Course in ACTE is designed & conducted by Machine Learning experts with 10+ years of experience in the Machine Learning domain
  • Only institution in India with the right blend of theory & practical sessions
  • In-depth Course coverage for 60+ Hours
  • More than 50,000+ students trust ACTE
  • Affordable fees keeping students and IT working professionals in mind
  • Course timings designed to suit working professionals and students
  • Interview tips and training
  • Resume building support
  • Real-time projects and case studies
Yes We Provide Lifetime Access for Student’s Portal Study Materials, Videos & Top MNC Interview Question.
You will receive ACTE globally recognized course completion certification Along with National Institute of Education (NIE), Singapore.
We have been in the training field for close to a decade now. We set up our operations in the year 2009 by a group of IT veterans to offer world class IT training & we have trained over 50,000+ aspirants to well-employed IT professionals in various IT companies.
We at ACTE believe in giving individual attention to students so that they will be in a position to clarify all the doubts that arise in complex and difficult topics. Therefore, we restrict the size of each Machine Learning batch to 5 or 6 members
Our courseware is designed to give a hands-on approach to the students in Machine Learning. The course is made up of theoretical classes that teach the basics of each module followed by high-intensity practical sessions reflecting the current challenges and needs of the industry that will demand the students’ time and commitment.
You can contact our support number at +91 93800 99996 / Directly can do by's E-commerce payment system Login or directly walk-in to one of the ACTE branches in India
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