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Machine Learning Training in Chennai

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  • Beginner & Advanced level Classes.
  • Hands-On Learning in Machine Learning.
  • Best Practice for interview Preparation Techniques in Machine Learning.
  • Lifetime Access for Student’s Portal, Study Materials, Videos & Top MNC Interview Question.
  • Affordable Fees with Best curriculum Designed by Industrial Machine Learning Expert.
  • 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

20- Mar - 2023

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

22- Mar - 2023

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

25- Mar - 2023

Weekend Regular

(10:00 AM - 01:30 PM)

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

25- Mar - 2023

Weekend Fasttrack

(09:00 AM - 02:00 PM)

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

Can't find a batch? Pick your own schedule

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Learn at Home with ACTE

Online Courses by Certified Experts

Learn From Experts, Practice On Projects & Get Placed in IT Company

  • We train students for interviews and Offer Placements in corporate companies.
  • Ideal for graduates with 0 – 3 years of experience & degrees in B. Tech, B.E and B.Sc. IT Or Any Computer Relevent.
  • You will not only gain knowledge of Machine Learning and Advance tools, but also gain exposure to Industry best practices, Aptitude & SoftSkills.
  • Experienced Trainers and Lab Facility.
  • Professional Certificate Program in Machine Learning Guidance Support with Exam Dumps.
  • For Corporate, we act as one stop recruiting partner.We provide right skilled candidates who are productive right from day one.
  • Resume & Interviews Preparation Support.
  • 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

Online courses are an excellent way to learn Machine Learning as you can learn at your own pace and in the comfort of your own home. Through online courses, you can access lectures, tutorials, exercises, and practice tests to solidify your understanding of the concepts.
A Machine Learning Certification course is a comprehensive online program that provides you with the tools and knowledge you need to understand and implement Machine Learning algorithms. It is designed to teach you the fundamentals of Machine Learning and its various applications in the data science and analytics fields.
The concepts covered in a Machine Learning training course include predictive analytics, data mining, regression analysis, clustering, classification, neural networks, deep learning, natural language processing, computer vision, and more.
The top 5 skills you will learn in a Machine Learning course are programming, mathematics and statistics, data exploration and analysis, feature engineering, and model evaluation and optimization.
After completing a Machine Learning training course, you can apply for various job roles such as a machine learning engineer, data scientist, software engineer, research scientist, or artificial intelligence engineer.
You can get assistance for preparing a Machine Learning Training Interview by attending online courses, participating in online forums, and studying past interview questions.
Yes, there are job opportunities available for Machine Learning Training. Companies such as Google, Amazon, Microsoft, and IBM are always looking for qualified professionals who are adept in Machine Learning.
ACTE offers a wide range of Machine Learning related courses such as Machine Learning with Python, Big Data Hadoop Machine Learning, Data Science with Machine Learning, and many more.
Learning Machine Learning can help you stay ahead of the competition and advance your career. With Machine Learning, you can learn to solve complex problems quickly, automate tasks, and identify patterns in data.
In the Machine Learning Training, you will learn about predictive analytics, data mining, regression analysis, clustering, classification, neural networks, deep learning, natural language processing, computer vision, and more.
Learning Machine Learning course helps in accelerating your career growth as it allows you to stay ahead of the competition and develop the skills needed to solve complex data problems. Additionally, you can use Machine Learning to automate tasks and identify patterns in data.

What are the Prerequisites to learn Machine learning ?

The prerequisites to learn Machine Learning include basic knowledge of programming languages, mathematics and statistics, and a good understanding of the fundamentals of data science.
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Overview of Machine Learning Training Course in Chennai

Our Machine learning course in Chennai helps to become an expert in sought-after ML skills such as deep learning, natural language processing (NLP), reinforcement learning, and so on, as well as industry projects. ACTEs' Advanced-level AI & ML Course teach you how to integrate various tools and technologies into machine learning applications.

Machine learning course and artificial intelligence are making waves across all industries. There has never been a better time to learn one of today's most in-demand skills. Grow up your career with ACTE Machine Learning Training.

Additional Information

Why does ACTE Demand Machine Learning Training in Chennai?

Machine learning course has emerged as an important component of modern technology. ACTE believes that by providing students and professionals with technically appropriate machine learning courses, they will be able to advance their careers. Our instructors limit batch sizes to four students per batch and emphasize hands-on practical sessions. We also provide career counseling to help you find a suitable career.

ACTE is pursuing Machine Learning Training in Chennai because the city is an IT and technology hub, as well as a rapidly emerging hub for Machine Learning development.

Machine Learning Job Skills in Chennai:

  • Programming Languages – Python, R, Java, C++
  • Data Visualization – Tableau, D3.js, Matplotlib
  • Data Manipulation – SQL, Pandas, and NumPy
  • Machine Learning Algorithms – Neural Networks, Random Forests, Gradient Boosting
  • Machine Learning Frameworks – TensorFlow, Scikit-Learn, Keras
  • Cloud Computing – Amazon Web Services, Google Cloud Platform, Microsoft Azure
  • Big Data Tools – Apache Hadoop, Apache Spark, Apache Flink
  • Analytical Skills – Data Analysis, Statistical Modeling, Time Series Analysis
  • Communication Skills – Presentation Skills, Report Writing, Documentation
  • Domain Knowledge – Banking, Retail, Automotive, Healthcare, Financial Services

Prerequisites for a Machine Learning Course in Chennai:

We offer Machine Learning course for beginners as well as customized ML training programmes for experienced professionals. Our Machine Learning Course Program will be appropriate for all types of students all over the world. However, the following fundamental knowledge is recommended for students who want to learn through our fast-track Machine Learning Course in Chennai at ACTE to gain the best hands-on practises.

Machine Learning Courses Focus on the Following Subfields:

  • Algorithms for machine learning include: Bayesian classifiers, decision trees, random forests, and more. K-Means, Hierarchical, Support Vector, Polynomial, K-Nearest Neighbor, Eclat, Principal Component Analysis, Apriori, Multiple Linear, Logistic, and Generalized Linear Models are all examples of clustering methods.
  • Data mining techniques such as predictive modelling, analytics for forecasting, and text analytics Scraping the Web
  • A Master of Embedded Systems, Automation, and the Internet of Things
  • Proficient in the Use of Methods for Transforming Data (Big Data, Hadoop, PIG, Hive, Scoop, Flume, Hbase, NoSQL, Spark, Scala)
  • Knowledgeable in a wide variety of data analysis and predictive toolkits, including R, Python, TensorFlow, Theano, Keras, and Pytorch.
  • Participated in the development of experimental plans and procedures, including such methods as simulation, mathematical optimization, economic modelling, neural networks, decision analysis, probability, testing, and validation.
  • Expert in the creation of high-end embedded systems using microprocessors (ARM9/11 & x86, Beaglebone, Friendly ARM, Raspberry Pi).
  • Have spent a lot of time working on Linux kernel modules, kernel optimization strategies, and IPC programming.
  • Knowledgeable with Embedded Linux, including porting the kernel, developing device drivers, board support packages, boot-loaders, and firmwares.
  • Certified Professional in All Things Digital! (SEO, Adwords, Social Media, and Content Strategy) Expert in computer and network security, cryptographer, penetration tester, hacktivist, exploit researcher

Algorithms for Machine Learning:

There are usually three kinds of learning algorithms:

ML Algorithms That Are Supervised: We use this ML algorithm to figure out what will happen. Also, this algorithm looks for patterns in the labels that were put on the values of the data points.

Machine Learning Algorithms Without Being Watched: There are no labels for the data points. Also, these ML algorithms put the data into groups called "clusters." Also, it needs to explain how it works. Also, to make complex data look easy to understand and organise it so it can be analysed.

Algorithms for Machine Learning with Reinforcement: We use these rules to decide what to do. Also, each data point shows that it is true. Also, the algorithm changes how it learns after a while so that it can learn better. Also, get the best reward you can.

The Future of Machine Learning:

There is no question that the spread of machine learning across all domains is a hot topic these days. Machine learning methods are revolutionising industries such as automotive, entertainment, gaming, finance, and healthcare. The growing breadth of ML will improve machine performance with minimal human interaction. The major goal of incorporating machine learning into many domains is to minimise error function and enhance real-time outcomes at the lowest possible cost and time. The following are some of the future applications of machine learning technology that will have a significant influence in the next years:

Robotics: This technology will revolutionise the robotics industry in the future years. As much study is being conducted in this subject, Japan built its robot "Erica," which became the first robot news caster. In Dubai, they produced "Sophia," the first robot to have Saudi Arabian citizenship. Robots can now replicate human motions and complete tasks with great accuracy thanks to advancements in AI and ML.

Computer Vision: As the name implies, "Computer Vision" functions as expected. It gives the machine or computer vision. This method enables computers to detect and analyse digital photos, movies, and graphics. It will offer the result with the least amount of mistake based on the rearrangement and analysis.

Quantum Computing: Quantum algorithms have the ability to alter and reinvent the field of machine learning. It could absorb material far faster, enabling it to draw inferences and integrate information much faster.

Automotive Industry: The notion of "Safe Driving" was introduced with the aid of ML. In the current context, well-known companies like as Google, Tesla, and Mercedes-Benz have already committed significant resources in developing the "Auto Pilot" idea. This notion can be correctly implemented using wireless sensors, the Internet of Things, HD cameras, and audio/video recognition systems.

Cybersecurity: Nowadays, banks and financial institutions use machine learning to prevent fraud. Phishing is a serious worry these days, and numerous classification and regression approaches are used to detect phishing emails and protect clients from online fraud.

Applications of Machine Learning:

As we move forward into the digital age, one of the new things we've seen is the creation of Machine Learning. This amazing type of artificial intelligence is already being used in a wide range of businesses and jobs.For example, image and speech recognition, medical diagnosis, prediction, classification, learning associations, statistical arbitrage, extraction, and regression.

  • Image Recognition: It is one of the most popular ways to use machine learning.You can call something a digital image in a lot of different situations. For digital images, the measurements show what each pixel gives off. In a black-and-white picture, one measurement is the intensity of each pixel. So, if a black-and-white image has N*N pixels, the total number of pixels, and the measurement, is N2. In a coloured image, each pixel is thought of as giving three measurements of the strength of the three main colour components (RGB).So for an image with N*N colours, there are 3 N2 measurements.

    For recognizing faces, the categories could be face or no face. In a database with a lot of people, each person might have their own category. For character recognition, we can break up a piece of writing into smaller images, each of which shows a single character. The categories could include the 26 letters of the English alphabet, the 10 digits, and some special characters.

  • Recognizing what you say: Speech recognition (SR) is the process of turning what people say into text. It is a subfield of both computer science and linguistics that works on methods and technologies that help computers turn speech into text and make it more popular. Words in speech can be found with the help of speech recognition. In speech recognition, a piece of software can figure out what words are being said. In this Machine Learning app, the measurements could be a set of numbers that stand for the speech signal.

    We can cut the signal into pieces that have different words or phonemes in them. We can show the speech signal in each segment by how strong it is in different time-frequency bands.

    Even though this program doesn't cover the details of how to represent a signal, we can still use a set of real values to represent the signal.

    Voice user interfaces are used in speech recognition and machine learning applications. Voice user interfaces include things like calling by voice, routing calls, and controlling domotic appliances. It can also be used for simple data entry, making structured documents, converting speech to text, and flying.

  • Statistical Arbitrage : In finance, statistical arbitrage refers to automated trading strategies that are usually short-term and involve a large number of securities.In these strategies, the user tries to create a trading algorithm for a set of securities based on things like historical correlations and general economic variables. One way to look at these measurements is as a problem of classification or estimation. The basic idea is that prices will move toward an average from the past.We use methods from machine learning to get an index arbitrage strategy. In particular, we use linear regression and support vector regression (SVR) on the prices of an exchange-traded fund and a stream of stocks.By using principal component analysis (PCA) to reduce the number of dimensions in feature space, we can see how SVR works and what problems it has.

  • Associations for Learning: Learning association is the process of figuring out how different products go together. When customers' buying habits are looked at, two products that seem to have nothing in common may turn out to have something in common. One way machine learning is used is to study the links between the things people buy, which is also called "basket analysis." If a buyer buys "X," would he or she be forced to buy "Y" because of a link between the two? Because of this, there is a link between fish and chips, etc.When new products come out on the market and these connections are known, a new connection is made. If you knew about these connections, you might be able to suggest the related product to the customer.

    It can also help make a better package by putting products together so that the customer is more likely to buy them. A machine is learning associations when it figures out what goes with what.After looking at a lot of sales data and finding a link, Big Data analysts. When learning a conditional probability, it can come up with a rule to find a probability test.

  • Put into groups: Classification is the process of putting each person in the population being studied into one of several groups. We call these "independent variables."Analysts can use the size and shape of an object to figure out what category it belongs to with the help of classification. Analysts use data to come up with a good rule.Data is a list of many examples of things and how they should be classified.For example, before giving out a loan, a bank looks at a customer's ability to pay back the loan.

    We can do it by taking into account things like a customer's income, age, savings, and past financial history. This information comes from the loan's past records. So, Seeker uses it to make a connection between customer characteristics and risks.

  • The Future : "Prediction" is the output of an algorithm after it has been trained on historical data and then applied to new data to predict how likely a certain outcome is to happen.The model is often used to predict what will happen by using the predict function. Predictions are often made while making a model, after making a model, or after a model fails.

    Take the case of a bank trying to figure out how likely it is that any of the people who want to borrow money won't be able to pay it back. Before the system can figure out how likely the fault is, it needs to put the available data into groups. Analysts have made up a set of rules that describe it. Once we've figured out how to group things, we can figure out the odds based on what we need. These probability calculations can be done in all fields and for many different reasons. The prediction that is being made now is one of the most popular machine learning algorithms.

  • Getting it Out: Machine learning can also be used for Information Extraction (IE). It is the process of getting structured information from data that is not organised in a certain way. Like web pages, articles, blogs, business reports, and emails. The output from the information extraction is kept in the relational database. Extraction is a process that takes a set of documents as input and turns them into structured data. This output is a summary, like an Excel sheet or a table in a relational database.

    Extraction is becoming more and more important in the big data industry these days. We know that a lot of data is being made, and we also know that most of it is not organised. The first big problem is dealing with data that is not organised. We used to collect data in batches, like at the end of the day (EOD), but now businesses want data as soon as it's made, or "in real time."

  • Regression: Regression is another area where machine learning can be used. Assume that the input variables are x=x1, x2, x3,..., xn, and the output variable is y. In this situation, we can use machine learning to get the output (y) from the input variables (x).You can show the relationship between different parameters with the help of a model, as shown below:

    Y = g(x), where g is a function that depends on how the model is built.

    In regression, we can use the idea of machine learning to find the best parameters, cut down on approximation error, and figure out the most accurate result. We can also use Machine Learning to improve the way a function works. We can change the inputs if we want to make a better model. This gives us a new and better way to work. This is called designing the response surface.

Online Classes

Machine learning courses are available online from ACTE in a variety of formats. Python programming, statistics, data analysis, machine learning methods, AI, and other related subjects are just some of the topics we teach in our courses. There are self-paced, beginner, as well as advanced levels of our Machine Learning courses. We offer courses that include video lectures, quizzes, and practical projects for those who prefer to learn at their own pace. These courses may help you develop your knowledge and abilities in this fascinating topic. We also provide online courses taught by experts in the field that cover every part of machine learning, from the basics to the newest techniques.

Taking one of our instructor-led courses will allow you to engage in topic-specific conversations with other students, work through problems in real time, and get constructive criticism on your progress.

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Key Features

ACTE Chennai 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 Chennai
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
Robotics Industry

This project was to make experts how to implement Machnine learning on robotics.

Project 2

TensorFlow is one of the best and popular machines learning open source projects.

Our Top Hiring Partner for Placements

ACTE Chennai offers placement opportunities as add-on to every student / professional who completed our classroom or online training. Some of our students are working in these companies listed below.
  • We are associated with top organizations like HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc. It make us capable to place our students in top MNCs across the globe
  • We have separate student’s portals for placement, here you will get all the interview schedules and we notify you through Emails.
  • After completion of 70% Machine Learning training course content, we will arrange the interview calls to students & prepare them to F2F interaction
  • Machine Learning Trainers assist students in developing their resume matching the current industry needs
  • We have a dedicated Placement support team wing that assist students in securing placement according to their requirements
  • We will schedule Mock Exams and Mock Interviews to find out the GAP in Candidate Knowledge

Get Certified By Machine Learning & Industry Recognized ACTE Certificate

Acte Certification is Accredited by all major Global Companies around the world. We provide after completion of the theoretical and practical sessions to fresher's as well as corporate trainees. Our certification at Acte is accredited worldwide. It increases the value of your resume and you can attain leading job posts with the help of this certification in leading MNC's of the world. The certification is only provided after successful completion of our training and practical based projects.
A Machine Learning certification can help to improve your career prospects, as it demonstrates your ability to use and develop ML techniques, and expands your understanding of the related technology and methodology. It also allows you to stay on top of the latest innovations in the field, and gives you access to more advanced positions and higher salaries.
To be ready for the Machine Learning certification, you should have a good understanding of the fundamentals of Machine Learning, including basic math, statistics, and programming. You should also have some experience with ML algorithms and frameworks, and have an understanding of the types of problems ML can solve.
The Machine Learning Training Certification is suitable for anyone who is looking to advance their career in the field of Machine Learning. This certification is suitable for Data Scientists, Machine Learning Specialists, Software Developers, and Analysts, who want to gain an in-depth understanding of the ML field.
To get the ACTE Machine Learning Training Certificate, you must complete the certification course, pass the exam, and submit the final project. You will also need to complete the course within the given time frame.
Yes, ACTE offers test-taking exercises as part of the Machine Learning Certification in Chennai. These exercises are designed to help you practice and assess your knowledge of the topics covered in the course.

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.

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About Experienced Machine Learning Trainer

  • Our Machine Learning Training in Chennai. Trainers are certified professionals with 7+ years of experience in their respective domain as well as they are currently working with Top MNCs.
  • As all Trainers are Machine Learning domain working professionals so they are having many live projects, trainers will use these projects during training sessions.
  • All our Trainers are working with companies such as Cognizant, Dell, Infosys, IBM, L&T InfoTech, TCS, HCL Technologies, etc.
  • Trainers are also help candidates to get placed in their respective company by Employee Referral / Internal Hiring process.
  • Our trainers are industry-experts and subject specialists who have mastered on running applications providing Best Machine Learning training to the students.
  • We have received various prestigious awards for Machine Learning Training in Chennai from recognized IT organizations.

Machine Learning Course Reviews

Our ACTE Chennai 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.



A great learning experience. The Machine Learning course at ACTE is well structured and realtime based. The standard of assignments and case studies are of great help.


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: +9193833 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
    • Gives
    • 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 93833 99991 / Directly can do by ACTE.in's E-commerce payment system Login or directly walk-in to one of the ACTE branches in India
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