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Machine Learning Training in Bangalore

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Learn from Certified Experts

    • Provided by a 9+ Year Machine Learning Certified Expert
    • Experience the Best Training From Beginner to Expert Level
    • A Machine-learning Expert Designed the Most Advanced Curriculum
    • Delivered 12402+ Students Who Were Trained and 350+ Clients for Recruiting
    • Access to the Student Portal, Resources, Videos, and Top Mnc Interview Questions
    • Best Methods for Using Up-to-date Advanced Machine Learning Concepts With Guider
    • This Week, the Machine Learning Batch Will Start – Enroll Your Name Now!
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INR 14000


INR 20000

INR 16000

Have Queries? Ask our Experts

+91-7669 100 251

Available 24x7 for your queries

Upcoming Batches


Weekdays Regular

08:00 AM & 10:00 AM Batches

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


Weekdays Regular

08:00 AM & 10:00 AM Batches

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


Weekend Regular

(10:00 AM - 01:30 PM)

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


Weekend Fasttrack

(09:00 AM - 02:00 PM)

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

Hear it from our Graduate

Learn at Home with ACTE

Online Courses by Certified Experts

Transform Your future with Our Machine Learning Course:

  • Employers place a great value on highly demanded machine learning skills, which opens up lots of satisfying career opportunities.
  • Make your learning experience easier and quicker by selecting from the different online or offline options offered for the machine learning course.
  • Gain practical expertise in Python, R, and SQL, three fundamental programming languages for handling and examining data, giving you the skills you'll need to succeed in the course.
  • Explore a variety of machine learning algorithms and their useful applications as you start on a thorough learning trip to increase your knowledge and proficiency in this advanced topic.
  • valuable connections within the machine learning community, building a strong professional network that supports successful partnerships and growth in addition to making it easier to get jobs.
  • Start your journey towards mastering Machine Learning by enrolling in a course and exploring the field with 100% job placement.
  • Classroom Batch Training
  • One To One Training
  • Online Training
  • Customized Training
  • Enroll Now

This is How ACTE Students Prepare for Better Jobs


Course Objectives

  • Neural networks
  • Model evaluation
  • Ensemble methods
  • Supervised learning
  • Unsupervised learning
  • Feature engineering

Absolutely! It is definitely worth taking a Machine Learning course. With the field of Machine Learning growing rapidly, there is a high demand for individuals with the skills and knowledge.

  • Data Scientist
  • Machine Learning Engineer
  • AI Researcher
  • Deep Learning Engineer
  • Natural Language Processing (NLP) Engineer
  • Computer Vision Engineer
  • Data Analyst
A Machine Learning course can enhance your career. Having in-demand skills can greatly enhance your career followed by industries such as finance, healthcare, and technology.
  • MLlib
  • Keras
  • Python
  • PyTorch
  • TensorFlow
  • Scikit-learn

While some familiarity with programming and mathematics is beneficial,Basic knowledge of programming languages can be helpful but not compelsory.

  • Designing
  • Model evaluation
  • Feature selection
  • Data preprocessing
  • Implementing Machine Learning models
  • Neural networks and deep learning.

Which Machine Learning-related classes does ACTE offer?

A thorough Machine Learning with Python ,Machine Learning using R,course is available from ACTE. This course offers an basics to Machine Learning, an overview of the Machine Learning techniques, and a foundation in Python programming with hands-on project.

Does Machine Learning have a future in India?

Yes, Machine Learning has a bright future as it drives innovation and data-driven decision-making across industries, shaping the future of technology and business.

What kind of learning materials are provided in the machine learning course?

  • Datasets
  • Assignments
  • Code samples
  • Lecture slides
  • Video lectures
  • Quizzes and assessments
  • Textbooks and references

What real-world projects are available during the course?

  • Fraud Detection
  • Recommendation Systems
  • Predictive Maintenance
  • Image Classification
  • Customer Churn Prediction
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Explore your career journey with our Machine Learning overview:

The ACTE in Bangalore provides the best Machine Learning course. In-depth knowledge of data analytics, statistical models, and Machine Learning methods. Machine Learning overview provides an introduction to Machine Learning's basic ideas, principles, applications, and methods. You will develop thorough data analytics, statistical models, and Machine Learning methods. The curriculum is well-designed to cover industry concepts and techniques. Experienced trainers provide trustworthy guidance throughout the course. The hands-on approach includes real-life projects using industry-standard tools. You'll learn supervised and unsupervised learning and deep learning. Practical aspects like data visualization and model interpretation are also covered. The course prepares you for a rewarding career in Machine Learning. Enroll now!



Additional Information

Reason to choose a Machine Learning Course

Enrolling in a machine learning course gives you access to in-depth knowledge of algorithms and techniques, giving you the abilities you need to efficiently use data. This gives you the ability to create intelligent networks and models for prediction, driving effective solutions across numerous sectors. Additionally, the course offers training and networking opportunities that advance your professional development and improve your chances of career success.

  • High Demand: Machine Learning skills are in great demand across industries. Machine Learning plays a crucial role in extracting insights and making predictions from large datasets. With Machine Learning skills, you can position yourself for a in a job opportunities and enhance your career prospects.
  • Versatility: Machine Learning algorithms and methods are applied in a fields, including advertising, AI, finance, health care, and more. You are able to apply your knowledge and expertise to a variety of companies.
  • Cutting-Edge Technology: In terms of technological developments, Machine Learning is at the cutting edge. You can keep up with the most current advancements, resources, and methods in the industry by enrolling in a Machine Learning course.
  • Resolving Difficult Issues: Machine Learning offers strong methods for resolving difficult issues, including those that may require a lot of data, inconsistency, and nonlinear relationships. To solve practical problems like speech and image recognition, natural language processing, recommendation systems, and more, you can create sophisticated models and algorithms.
  • Career Development: Machine Learning is a rapidly developing area, and there is a constant need for experts who can use its techniques. Developing your Machine Learning skills will put you in a position to grow your career. Jobs like Machine Learning engineer, data scientist, AI researcher, and advisor frequently provide competitive pay and promotions.
  • Intellectual Stimulation: Machine Learning involves a blend of mathematics, statistics, programming, and problem-solving. It offers intellectual challenges and the opportunity to work on complex and intriguing problems. If you enjoy solving puzzles and exploring patterns in data, a Machine Learning course can provide a stimulating learning experience.
  • Contribution to Society: Machine Learning has the potential to drive positive societal impact. It can be used in environmental science to analyze climate data, in education to personalise learning experiences, and in many other areas. By gaining skills in Machine Learning, you can contribute to solving critical societal challenges and making a difference in people's lives.

Advantages of Machine Learning Course

A machine learning course offers a range of advantages that can greatly impact your career and professional growth. By enrolling in such a course, you gain in-depth knowledge and practical skills in machine learning algorithms, techniques, and tools. This expertise is highly sought after in various industries, providing you with diverse and lucrative career opportunities. Additionally, staying updated on the latest advancements in machine learning ensures that you remain relevant and competitive in a rapidly evolving job market. Moreover, the problem-solving abilities developed through a machine learning course empower you to analyze complex datasets, derive insights, and tackle intricate problems across different domains. This enhances your critical thinking and decision-making skills, making you a valuable asset to organizations. Furthermore, machine learning opens up the potential for innovation, allowing you to develop cutting-edge solutions and contribute to advancements in areas such as healthcare, finance, marketing, and more. Ultimately, a machine learning course equips you with valuable skills, enhances your career prospects, and positions you at the forefront of technological innovation.

  • Prominent Faculty: Experts in Machine Learning make up the staff of experienced and top-tier trainers at ACTE. They offer direction as they navigate Machine Learning ideas, methods, and applications.
  • Real-world Projects, Assignments, and Case Studies: Practical assignments, projects, and case studies are highly valued by ACTE. With this approach, you may use the concepts you study and gain practical experience troubleshooting Machine Learning problems.
  • Practical Projects: The Machine Learning course offered by the ACTE includes real-world projects that simulate real-world circumstances. In these projects, you can apply your knowledge and skills to solve complex Machine Learning problems.
  • Certification Recognised by the Industry: An industry-recognized certification is yours once you finish an ACTE Machine Learning course. Your knowledge in Machine Learning is validated by this certification.
  • Placement: For assistance in launching your Machine Learning career, contact ACTE. They offer assistance with job placement and have partnerships with top businesses in the sector.
  • Options for Flexible Learning: To accommodate your schedule and learning preferences, ACTE offers flexible learning alternatives. You can learn at your leisure time and convenience by selecting from classroom instruction, online courses, or self-paced learning options.
  • Record and Reputation: In the industry, The ACTE programme has a solid reputation in the industry and producing skilled individuals. They are a trusted choice for Machine Learning education due to their focus on top-notch instruction and industry relevance.

Machine Learning is the Best Choice for Future

Machine learning is the best choice for the future due to its transformative potential in industries, its ability to extract insights from vast amounts of data, and its role in enabling automation and artificial intelligence. With increasing demand for data-driven decision-making, machine learning skills offer ample career opportunities and job security. Its versatile applications and evolving nature make it a crucial field for driving innovation and shaping the future of technology.

  • High - Demand: Expertise in machine learning is in high demand in the employment market. Many industries, including technology, finance, healthcare, and marketing, are looking for people who can use machine learning techniques to extract insights from data, make predictions, and automate operations.
  • Career Options: Learning machine learning abilities can lead to a variety of job options. You may work as a machine learning engineer, data scientist, or AI researcher, or you could start your own business offering AI consulting or developing machine learning-based goods and services.
  • Address Complex Problems: Machine learning enables you to tackle complex problems that would be impossible to address using standard programming methods. You may train models to produce accurate predictions, classify data, find patterns, and extract useful insights from enormous datasets.
    Machine learning is always changing due to technological improvements and increased data availability. By remaining current on the newest machine learning techniques and algorithms, you may stay at the forefront of innovation and contribute to cutting-edge research or development.
  • Data-driven Decision-making: Machine learning enables organisations to make data-driven choices. Understanding machine learning principles and methodologies may help you discover patterns, analyse consumer behaviour, optimise processes, and improve corporate performance.
  • Personal Projects and Side Businesses: Machine learning abilities may also be useful for personal projects and side businesses. Machine learning techniques may be used to analyse data, form predictive models, establish recommendation systems, or create AI-driven apps that cater to certain interests or topics. Machine learning requires continuous learning and adaptation. Machine learning is a discipline that necessitates continuous learning and adaptation. By enrolling in a machine learning course, you will obtain a solid foundation as well as the capacity to learn and adapt to new technologies and techniques as they develop.
  • Collaboration and Interdisciplinary Work: Machine learning frequently requires collaboration with experts from a variety of subjects, including mathematics, statistics, computer science, and domain-specific topics. Learning machine learning abilities will help you interact more successfully and work on multidisciplinary projects. It is crucial to remember, however, that machine learning is a complicated and growing area, and a single course may not qualify you as an expert. To become skilled, ongoing study, practical application, and hands-on experience are required. Consider the course as a starting point and be prepared to learn.

Important Topic Covered in Machine Learning Course

In a machine learning course, you will cover important topics such as supervised and unsupervised learning, neural networks, model evaluation and selection, feature engineering, ensemble methods, model deployment, and ethical considerations. These topics provide a comprehensive foundation for understanding and applying machine learning algorithms and techniques. By mastering these concepts, you will be equipped with the necessary knowledge and skills to develop and deploy effective machine learning models in various real-world scenarios.

  1. Data Preprocessing: This involves techniques for cleaning and preparing data before feeding it into machine learning algorithms. It includes handling missing data, handling categorical variables, feature scaling, and data normalization.
  2. Hyperparameter Tuning: Machine learning models often have hyperparameters that need to be tuned to optimize performance. This topic covers techniques such as grid search, random search, and Bayesian optimization to find the best set of hyperparameters.
  3. Reinforcement Learning: This area focuses on teaching agents to make decisions based on interacting with an environment and receiving feedback. It includes topics like Markov decision processes, Q-learning, policy gradients, and value iteration.
  4. Transfer Learning: This concept involves leveraging knowledge learned from one task or domain to improve performance on another related task or domain. It can be particularly useful when labeled data is limited.
  5. Time Series Analysis: This topic covers techniques for analyzing and predicting data that is ordered in time. It includes methods like autoregressive models (AR), moving average models (MA), and autoregressive integrated moving average models (ARIMA).
  6. Model Deployment and Production: This aspect focuses on taking trained machine learning models and deploying them into production systems. It involves considerations like model serving, scalability, monitoring, and maintaining model performance.
  7. Ethics and Bias in Machine Learning: This important topic discusses the ethical considerations, fairness, and potential biases that can arise when designing and deploying machine learning models. It addresses issues like algorithmic bias, privacy concerns, and transparency.
  8. Advanced Neural Network Architectures: In addition to basic neural networks, you may explore more advanced architectures such as recurrent neural networks (RNNs), long short-term memory (LSTM) networks, and generative adversarial networks (GANs).
  9. Big Data and Distributed Computing: As the scale of data increases, it becomes necessary to distribute computations across multiple machines. This topic covers techniques for working with big data using frameworks like Apache Spark or distributed deep learning with tools like TensorFlow on clusters.
  10. Industry Applications and Case Studies: Some courses may include real-world case studies and examples from various industries like healthcare, finance, e-commerce, or natural language processing, demonstrating how machine learning is applied to solve specific problems.

Machine Learning For All:

Anyone with a passion for data science is welcome to enrol in the Machine Learning course. By submitting an application and the necessary course fee, interested people can sign up for the course. Regarding education or professional experience, there are no specific criteria.

Course Prerequisites:

Machine Learning has gained popularity across several industries. There are no strict prerequisites for the Machine Learning course; nonetheless, success in the course benefits from having a fundamental understanding of programming and statistics. The capacity to manage data and recommended that students have some experience with a programming language. However, since the course is already configured, these prerequisites are not required.

Options for Delivery:

There are numerous methods for delivering the Machine Learning course, including online, face-to-face, and a hybrid approach that combines both. Courses taken in person provide opportunities for direct application and close contact with peers and instructors. On the other hand it is more adaptable and practical due to their format, which includes interactive activities, face-to-face interactions with instructors, and pre-recorded lectures.

Training Period:

Training for Machine Learning and Python with Machine Learning Course could last for a few weeks or several months. While larger courses may offer a complete treatment of Machine Learning concepts and techniques, shorter courses may offer an introduction to the field or a focused area of study. Students should take into account their time commitments and learning objectives when choosing a course that suits their needs.

Salary Range:

Salary range for machine learning The pay range for machine learning professionals in India varies depending on factors such as experience, skills, area, sector, and organisation. Entry-level occupations normally pay 4–8 lakhs per year, and mid-level professionals with some experience can earn 8–15 lakhs. Senior professionals with years of experience can earn more than 15 lakhs per year, while highly trained employees can earn 30 lakhs or more.Salary ranges are estimates that may vary by location; cities often provide higher salaries due to the large number of IT companies and startups.

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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 Training in Bangalore
Module 1: Preparatory Session - Linux and Python
  • Introduction to Python and IDEs
  • Python Basics
  • Object Oriented Programming
  • Introduction to Linux
  • Linux Basics
Module 2: Data Analysis With MS-Excel
  • Excel Fundamentals
  • Excel For Data Analytics
  • Data Visualization with Excel
  • Excel Power Tools
  • Classification Problems using Excel
  • Information Measure in Excel
  • Regression Problems Using Excel
Module 3: Data Wrangling with SQL
  • SQL Basics
  • Advanced SQL
  • Deep Dive into User Defined Functions
  • SQL Optimization and Performance
Module 4: Python With Data Science
  • Extract Transform Load
  • Data Handling with NumPy
  • Data Manipulation Using Pandas
  • Data Preprocessing
  • Data Visualization
Module 5: Linear Algebra and Advanced Statistics
  • Descriptive Statistics
  • Probability
  • Inferential Statistics
Module 6: Machine Learning
  • Introduction to Machine learning
  • Regression
  • Classification
  • Clustering
  • Supervised Learning
  • Unsupervised Learning
  • Performance Metrics
Module 7: Deep Learning Using TensorFlow
  • Artificial Intelligence Basics
  • Neural Networks
  • Deep Learning
Module 8: Power BI
  • Power BI Basics
  • DAX
  • Data Visualization with Analytics
Module 9: Deploying Machine Learning Models With Cloud
  • Introduction to MLOps
  • Deploying Machine Learning Models
Module 10: GIt
  • Version Control
  • GIT
Module 11: Data Science Capstone Project
  • Extracting data into usable format to gather insights.
  • Loading data into usable format to gather insights.
  • Transforming data into usable format to gather insights.
  • Data manipulation
  • Handling to pre-process the data
  • Feature engineering the data for various problem statements.
  • scaling the data for various problem statements.
  • Monitoring of the model created using the machine learning models.
Module 12: Business Case Studies
  • Recommendation Engine
  • Rating Predictions
  • Census
  • Housing
  • Stock Market Analysis
  • Banking Problem
  • AI Chatbot
Module 13: Natural Language Processing
  • Text Mining, Cleaning
  • Pre-processing
  • Text classification
  • NLTK and sentiment analysis
  • Sentence Structure and Sequence
  • Tagging and Sequence
  • Tasks, and Language Modeling
  • AI Chatbots
  • Recommendations Engine
Module 14: Computer Vision
  • RBM and DBNs & Variational AutoEncoder
  • Object Detection using Convolutional Neural Net
  • Generating images with Neural Style
  • Working with Deep Generative Models
  • Distributed for Deep Learning Models
  • Parallel Computing for Deep Learning Models
  • Reinforcement Learning
  • Deploying Deep Learning Models
Module 15: Data Science At Scale with Pyspark
  • Introduction to Big Data And Spark
  • RDDs
  • Advanced Concepts & Spark-Hive
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Hands-on Real Time Machine Learning Projects

Project 1
AI-Powered Medical Diagnosis Project

Develop a ML model that can accurately diagnose medical conditions from patient data and medical images.

Project 2
Financial Fraud Detection Project.

Create a model to detect fraudulent transactions and activities in the finance industry.

Achieve Excellence With Machine Learning Placement

Our ACTE Machine Learning Placement service connects talented individuals with job opportunities in the Machine Learning field, helping them find suitable positions and advance their careers in this growing industry.
  • We prepared to place our students in major MNCs throughout the world because of our relationships with prestigious organizations like Google, CTS, TCS, IBM, and others.
  • These partnerships enable our clients to drive innovation and growth in their organizations.
  • Our students benefit from internship and job placement opportunities with our partner companies.
  • Our clients have given positive feedback on the quality of candidates sourced through these partnerships.
  • Through these partnerships, we gain access to cutting-edge Machine Learning and deep learning tools, software, and datasets for hands-on learning.
  • Our partners often offer guest lectures, workshops, and real-world case studies to provide practical insights of Machine Learning to our students.

Sustain your Intelligent with Machine Learning Certification

ACTE provides recognized Machine Learning certification courses. These courses aim to equip individuals with the sufficient skills and knowledge in the field of Machine Learning. By enrolling in ACTE's Machine Learning programme, you can learn a deep understanding and clarity of the fundamental concepts, algorithms, and techniques used in Machine Learning. You will learn about various machine-learning algorithms and their applications in real-world scenarios. The programme includes hands-on projects and practical exercises to enhance your learning experience. You can boost your career prospects in the fields of Machine Learning and artificial intelligence. Interested professionals value ACTE for its flexible learning options and placement help. Enrol today to begin a rewarding career in technology.

  • Higher earning potential
  • Professional recognition
  • Improved career opportunities
  • Ability to work on complex Machine Learning projects
  • Google Cloud Machine Learning Engineer
  • Coursera Machine Learning Specialization
  • AWS Certified Machine Learning - Specialty
  • Microsoft Certified: Azure AI Engineer Associate
  • Stanford University Machine Learning Certification
  • Validate expertise
  • Enhance credibility
  • Personal satisfaction
  • Improve career prospects
  • Demonstrate application skills

While a certification is not mandatory, it can enhance your prospects in the competitive field of Machine Learning. It provides formal recognition of your skills so it is important.

  • Increases earning potential
  • Validates expertise in machine learning
  • Enhances credibility in the job market
  • Widens job prospects and opportunities
  • Improves chances of promotions and career advancement

Complete Your Course

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

Get Certified

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

Get Certified

Get Train With Our Effective Machine Learning Trainer

  • Projects and practical exercises are used to improve hands-on experience.
  • They give individual attention to every student and are interactive in every learning session.
  • Machine Learning trainer are experts who teach Machine Learning concepts and techniques.
  • ACTE trainers engage them with up-to-date knowledge of the latest advancements in Machine Learning.
  • Our Machine learning Trainers have 9+ years of Machine Learning industry experience working on real-world projects.
  • Our Machine Learning Training in Bangalore expert has excellent teaching skills and clear communication to enhance the best outcome for theMachine Learning course.

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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