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Machine Learning Training Course in Bangalore

4.8 ( 578 ) Ratings

Intellipaat’s Machine Learning course in Bangalore will help you master the concepts and techniques of Machine Learning with Python, which include ML algorithms, supervised and unsupervised learning, probability, statistics, decision tree, random forest, linear and logistic regression, etc., through real-world hands-on projects. Get the best Machine Learning training in Bangalore from top Machine Learning experts.

Key Features

32 Hrs Instructor Led Training
32 Hrs Self-paced Videos
64 Hrs Project & Exercises
Certification and Job Assistance
Flexible Schedule
Lifetime Free Upgrade
24 x 7 Lifetime Support & Access
Mentor Support
Intellipaat-Key-Features
Intellipaat-Key-Features
Intellipaat-Key-Features

Machine Learning Course in BangaloreOverview

Intellipaat is one of the renowned names in the domain of e-learning, offering you the most comprehensive and career-oriented Machine Learning online course in Bangalore, India. Learners will be getting in-depth knowledge and expertise in the highly coveted concepts of Machine Learning, such as supervised and unsupervised learning, probability, statistics, Python programming, decision tree, random forest, linear a...

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What will you learn in this Machine Learning course in Bangalore, Karnataka?

Intellipaat, one of the premier Machine Learning institutes in Bangalore, provides a world-class course on ML, in which you can learn the following:

  • Basics of using data to train machines
  • Artificial neural network concepts
  • Multiple variables in linear regression with Python
  • Classifying data in logistic regression using Python
  • K-nearest neighbor algorithm
  • Data modeling and decision tree classifier

Intellipaat’s Machine Learning course in Bangalore can be joined by:

  • Software professionals looking for a career switch and fresh graduates
  • Professionals in Analytics, Data Science, e-commerce, and search engine domains

We don’t expect any prior knowledge from your side. However, basic knowledge of programming languages can be helpful when joining our Machine Learning classes in Bangalore.

  • The average salary of an ML Engineer in Bangalore, Karnataka, is ₹1,095,796 per year – PayScale

Bengaluru is the hub of some of the best IT companies, and due to this, the demand for ML professionals is at an all-time high here. This, combined with the number of startups mushrooming in the Silicon Valley of India, proves that the future of ML Engineers can only get better in this city.

ML market trend in the city is growing at a rapid rate. The growth of technology in this city has made marketers compare it with the Silicon Valley of the United States. Multinational firms focus on this city, which has created huge competition in the market. Our Machine Learning with Python programming course serves this purpose so that aspirants wanting to become successful Machine Learning Engineers can benefit from it. Having a Machine Learning certification in Bangalore increases the possibilities of getting employed and bagging high salaries in the IT city.

Some of the reasons why you should sign up for this Machine Learning course in Bangalore are as follows:

  • There are over 2,882 Machine Learning jobs open and available in India – Indeed
  • The average income of Machine Learning Engineers in India is about ₹600,000 per annum – LinkedIn

Intellipaat offers one of the best Machine Learning courses in Bangalore. This certification program is led by Machine Learning experts from leading industries in India and the United States. It focuses on helping you understand the ML fundamentals, such as Natural Language Processing (NLP), Python, and more. In this course, you will also work on real-world assignments and projects that will enhance your learning experience. Advantages Of Machine Learning CourseAdvantages Of Machine Learning Course

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Machine Learning Engineers rank among the top emerging jobs. - LinkedIn
The global machine learning market is expected to reach USD 8.81 billion by 2022, at a Compound Annual Growth Rate (CAGR) of 44.1% - MarketsandMarkets

Career Transition

Career Transition Handbook

Skills Covered

  • Python
  • Scikit-Learn
  • Decision Tree and Random Forest
  • Naïve Bayes
  • Support Vector Machine (SVM)
  • Kernel
  • K-means Clustering
  • Principal Component Analysis (PCA)
  • Natural Language Processing (NLP)
  • Text Mining
  • NLTK Corpora
  • Deep Learning
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Course Fees

Self Paced Training

  • 32 Hrs e-learning videos
  • Lifetime Free Upgrade
  • 24 x 7 Lifetime Support & Access

$211

Online Classroom Preferred

  • Everything in self-paced, plus
  • 32 Hrs of Instructor-led Training
  • 1:1 Doubt Resolution Sessions
  • Attend as many batches for Lifetime
  • Flexible Schedule
07 Aug

SAT - SUN

08:00 PM TO 11:00 PM IST (GMT +5:30)

10 Aug

TUE - FRI

07:00 AM TO 09:00 AM IST (GMT +5:30)

15 Aug

SAT - SUN

08:00 PM TO 11:00 PM IST (GMT +5:30)

21 Aug

SAT - SUN

08:00 PM TO 11:00 PM IST (GMT +5:30)

$351 10% OFF Expires in

Corporate Training

  • Customized Learning
  • Enterprise grade learning management system (LMS)
  • 24x7 Support
  • Enterprise grade reporting

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Machine Learning Course Content in Bangalore

Live Course

Module 01 - Introduction to Machine Learning

Preview

1.1 Need of Machine Learning
1.2 Introduction to Machine Learning
1.3 Types of Machine Learning, such as supervised, unsupervised, and reinforcement learning, Machine Learning with Python, and the applications of Machine Learning

Module 02 - Supervised Learning and Linear Regression

Preview

2.1 Introduction to supervised learning and the types of supervised learning, such as regression and classification
2.2 Introduction to regression
2.3 Simple linear regression
2.4 Multiple linear regression and assumptions in linear regression
2.5 Math behind linear regression

Hands-on Exercise:

1. Implementing linear regression from scratch with Python
2. Using Python library Scikit-Learn to perform simple linear regression and multiple linear regression
3. Implementing train–test split and predicting the values on the test set

3.1 Introduction to classification
3.2 Linear regression vs logistic regression
3.3 Math behind logistic regression, detailed formulas, the logit function and odds, confusion matrix and accuracy, true positive rate, false positive rate, and threshold evaluation with ROCR

Hands-on Exercise:

1. Implementing logistic regression from scratch with Python
2. Using Python library Scikit-Learn to perform simple logistic regression and multiple logistic regression
3. Building a confusion matrix to find out accuracy, true positive rate, and false positive rate

4.1 Introduction to tree-based classification
4.2 Understanding a decision tree, impurity function, entropy, and understanding the concept of information gain for the right split of node
4.3 Understanding the concepts of information gain, impurity function, Gini index, overfitting, pruning, pre-pruning, post-pruning, and cost-complexity pruning
4.4 Introduction to ensemble techniques, bagging, and random forests and finding out the right number of trees required in a random forest

Hands-on Exercise:

1. Implementing a decision tree from scratch in Python
2. Using Python library Scikit-Learn to build a decision tree and a random forest
3. Visualizing the tree and changing the hyper-parameters in the random forest

5.1 Introduction to probabilistic classifiers
5.2 Understanding Naïve Bayes and math behind the Bayes theorem
5.3 Understanding a support vector machine (SVM)
5.4 Kernel functions in SVM and math behind SVM

Hands-on Exercise:

1. Using Python library Scikit-Learn to build a Naïve Bayes classifier and a support vector classifier

6.1 Types of unsupervised learning, such as clustering and dimensionality reduction, and the types of clustering
6.2 Introduction to k-means clustering
6.3 Math behind k-means
6.4 Dimensionality reduction with PCA

Hands-on Exercise:

1. Using Python library Scikit-Learn to implement k-means clustering
2. Implementing PCA (principal component analysis) on top of a dataset

7.1 Introduction to Natural Language Processing (NLP)
7.2 Introduction to text mining
7.3 Importance and applications of text mining
7.4 How NPL works with text mining
7.5 Writing and reading to word files
7.6 Language Toolkit (NLTK) environment
7.7 Text mining: Its cleaning, pre-processing, and text classification

Hands-on Exercise:

1. Learning Natural Language Toolkit and NLTK Corpora
2. Reading and writing .txt files from/to a local drive
3. Reading and writing .docx files from/to a local drive

8.1 Introduction to Deep Learning with neural networks
8.2 Biological neural networks vs artificial neural networks
8.3 Understanding perception learning algorithm, introduction to Deep Learning frameworks, and TensorFlow constants, variables, and place-holders

9.1 What is time series? Its techniques and applications
9.2 Time series components
9.3 Moving average, smoothing techniques, and exponential smoothing
9.4 Univariate time series models
9.5 Multivariate time series analysis
9.6 ARIMA model and time series in Python
9.7 Sentiment analysis in Python (Twitter sentiment analysis) and text analysis

Hands-on Exercise:

1. Analyzing time series data
2. The sequence of measurements that follow a non-random order to recognize the nature of the phenomenon
3. Forecasting the future values in the series

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Free Career Counselling

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Machine Learning Projects

Peer Learning

Via Intellipaat PeerChat, you can interact with your peers across all classes and batches and even our alumni. Collaborate on projects, share job referrals & interview experiences, compete with the best, make new friends – the possibilities are endless and our community has something for everyone!

Machine Learning Certification in Bangalore

Intellipaat’s course on ML, one of the most reputed Machine Learning courses in Bangalore, is designed by industry professionals to help you get the best jobs in top MNCs. As part of this Machine Learning with Python training, you will be engaged in real-time projects and assignments that have huge implications in real-world industry scenarios. This way, you can expedite your career effortlessly.

At the end of this Machine Learning training in Bangalore, you will find a quiz test that perfectly reflects the type of questions asked in the Machine Learning certification exam, and it will further help you get a higher score in the same.

Intellipaat’s course completion certificate will be issued after the project has been completed (after expert review) and scoring at least 60 percent on the quiz. You would be glad to know that this certification is recognized by more than 100 top multinational companies, including Cisco, Ericsson, Cognizant, Sony, Mu Sigma, Saint-Gobain, Standard Chartered Bank, IBM, Infosys, Genpact, TCS, Hexaware, and more.

Machine Learning Training Reviews in Bangalore

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FAQs on Machine Learning Certification Course

Why should I learn online Machine Learning course in Bangalore from Intellipaat?

Intellipaat provides comprehensive Machine Learning training through hands-on projects and case studies. A few of the many reasons for choosing Intellipaat’s ML course includes the following:

  • You will learn various concepts such as Machine Learning using Python, classification techniques, linear and logistic regression, supervised and unsupervised learning, and more.
  • After successfully completing your Machine Learning online training, you will be awarded Intellipaat’s Machine Learning certification, which holds merit in 100+ MNCs across the world.
  • This course covers real-time ML projects and step-by-step tasks that are highly relevant in the corporate world. It also includes an extensive curriculum, created by industry experts.
  • Our Machine Learning certificate will allow you to compete for some of the best positions in the world’s leading MNCs for higher salaries.
  • We provide lifetime access to videos, course material, 24/7 learning support, and free upgrades to the latest version.

Intellipaat has been serving ML enthusiasts from every corner of the city. You can be living in any locality in Bengaluru, be it Marathahalli, Koramangala, BTM Layout, Jayanagar, Sarjapur, Vijaynagar, Whitefield, HSR Layout, Indira Nagar, Electronic City, or anywhere. You can have 24/7 access to our Machine Learning online course sitting at your home or office.

Intellipaat offers one of the best ML courses in Bangalore that will help you become a successful ML Engineer. Other courses such as Data ScienceArtificial Intelligence, R programming, Data Analytics, and others are comprehensive and tailor-made to suit you as per the industry needs.

At Intellipaat, you can enroll in either the instructor-led online training or self-paced training. Apart from this, Intellipaat also offers corporate training for organizations to upskill their workforce. All trainers at Intellipaat have 12+ years of relevant industry experience, and they have been actively working as consultants in the same domain, which has made them subject matter experts. Go through the sample videos to check the quality of our trainers.

Intellipaat is offering the 24/7 query resolution, and you can raise a ticket with the dedicated support team at anytime. You can avail of the email support for all your queries. If your query does not get resolved through email, we can also arrange one-on-one sessions with our trainers.

You would be glad to know that you can contact Intellipaat support even after the completion of the training. We also do not put a limit on the number of tickets you can raise for query resolution and doubt clearance.

Intellipaat is offering you the most updated, relevant, and high-value real-world projects as part of the training program. This way, you can implement the learning that you have acquired in real-world industry setup. All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry-ready.

You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc. After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.

Intellipaat actively provides placement assistance to all learners who have successfully completed the training. For this, we are exclusively tied-up with over 80 top MNCs from around the world. This way, you can be placed in outstanding organizations such as Sony, Ericsson, TCS, Mu Sigma, Standard Chartered, Cognizant, and Cisco, among other equally great enterprises. We also help you with the job interview and résumé preparation as well.

You can definitely make the switch from self-paced training to online instructor-led training by simply paying the extra amount. You can join the very next batch, which will be duly notified to you.

Once you complete Intellipaat’s training program, working on real-world projects, quizzes, and assignments and scoring at least 60 percent marks in the qualifying exam, you will be awarded Intellipaat’s course completion certificate. This certificate is very well recognized in Intellipaat-affiliated organizations, including over 80 top MNCs from around the world and some of the Fortune 500companies.

Apparently, no. Our job assistance program is aimed at helping you land in your dream job. It offers a potential opportunity for you to explore various competitive openings in the corporate world and find a well-paid job, matching your profile. The final decision on hiring will always be based on your performance in the interview and the requirements of the recruiter.

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Our Bangalore Mailing Address

Machine Learning Training Course in Bangalore. Address – AMR Tech Park 3,Ground Floor Tower B Hongasandra Village, Hosur Rd, Bommanahalli, Bengaluru, Karnataka – 560068, India. Call Us: +91-7022374614 View Location

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