Machine learning courses

Master Machine Learning
With Industry Experts

Comprehensive Machine Learning program covering Python/R, key ML algorithms, and real-world model deployment with intensive 6-day / 3-weekend classroom or LVC training, plus 3 months of LIVE project mentoring and unlimited access to the Data Science Cloud Lab for hands-on practice.

(22,945 reviews)

Choose Your Learning Path

Flexible plans designed to fit your schedule and learning style

Blended Learning

Self Learning + Live Mentoring

₹26,005

Self Learning + Live Mentoring
NASSCOM® Certification
1 Year Access To Elearning
20 Capstone & 1 Client Project
Job Assistance
24*7 Leaner assistance and support

Live Virtual

Instructor Led Live Online

₹40,005

NASSCOM® Certification
5-Month | 350 Learning Hours
100-Hour Live Online Training
20 Capstone & 1 Client Project
365 Days Flexi Pass + Cloud Lab
Internship + Job Assistance

Classroom

In-Person Classroom Training

₹47,005

NASSCOM® Certification
5-Month | 350 Learning Hours
48-Hour Classroom Sessions
20 Capstone & 1 Client Project
Cloud Lab Access
Internship + Job Assistance

Tools & Technologies You'll Master

Decision Tree

Linear And logistic Regression

Neural Network

Clustering (Unsupervised Learning)

Why Skill AI Institute?

Industry-leading training backed by certification and real-world projects.

Expert Trainers

Ph.ds And Industry Experts

Elite faculty from prestigious
Universities with deep research
And coaching expertise

Career Guidance

Expert Counselors

Personalized counselling for career Enhancement in managerial roles

Specialized Syllabus

Specialized Syllabus For Managers

Focused on data science for decision making, Managing data science projects with essential technical overview

5 Case Studies

Practical Decision-making Cases

Techniques for scenarios with certainty, Low uncertainty and high certainty from Decision tree to monte carlo simulation

Flexible Financing Options

We’re dedicated to making our programs accessible. Pay in easy installments at 0% interest with no hidden costs.

EMI Available

Bajaj Finserv & ShopSe

Admission Closing

31st December 2026

Course Syllabus

Machine Learning Introduction

Module 1: Machine Learning Introduction: Supervised and Unsupervised Learning

• Linear Regression Theory

• Linear Regression Programming with R

• Working on Case Study

Module 2: Multiple Linear Regression

• Theory behind multiple linear regression

• Multiple Linear Regression with R

• Working on Case Study

Module 3: Decision Tree

• Theory Behind Decision Tree

• Decision Tree with R

• Working on Case Study

Module 4: Naive Bayes

• Theory behind Naïve Bayes classifiers

• Naive Bayes Classifiers with R

• Working on Case Study

Module 5: Support Vector Machines

• Theory behind Support Vector Machines

• Support vector machines with R

• Improving the performance with Kernals

• Working on Case Study

Module 6: Association Rule

• Theory behind Association Rule

• Working on Case Studies

Module 7: Neural Net

• Artificial Neural Network

• Connection Weights in Neural Network

• Generating Neural Network with R

• Improving Neural Network Accuracy with Hidden Layers

• Working on Case

Module 8: Random Forest

• Theory behind Random Forest

• Random Forest with R

• Improving performance of Random Forest

• Working on Case Study

Module 9: Recommendation Engine

• Theory behind Recommendation Engines

• Working on Case Study with R

Module 10: Dimension Reduction

• Theory behind Recommendation Engine

• Working on Case Studies

Machine Learning Algorithms

• Popular Machine Learning Algorithms

• Clustering, Classification and Regression

• Supervised vs Unsupervised Learning

• Choice of Machine Learning

Supervised Learning

• Simple and Multiple Linear Regression

• KNN etc…

Linear Regression and Logistic Regression

• Theory of Linear Regression

• Hands on with use Cases

K-Nearest Neighbour (KNN)

Decision Tree

Naïve Bayes Classifier

• Naïve Bayes for text classification

• New Articles Tagging

Unsupervised Learning

• K-means Clustering

Advanced Machine Learning Concepts

• Tuning with Hyper Parameters

• Popular ML Algorithms

• Clustering, Classification and Regression

• Supervised vs Unsupervised

• Choice of ML Algorithm

Random Forest – Ensemble

• Ensemble Theory

• Random Forest Tuning

Support Vector Machine (SVM)

• Simple and Multiple Linear regression

• KNN

Natural Language Processing (NLP)

• Text Processing with Vectorization

• Sentiment analysis with TextBlob

• Twitter sentiment analysis.

Artificial Neural Network (ANN)

• Basic ANN network for regression and classification

Tensorflow overview and Deep Learning Intro

• Tensorflow work flow demo and intro to deep learning

TESTIMONIALS

What Our Students Have To Say

Skill AI

4.7

Based on 12 reviews

review us on

Ashok Bhattacharya

13:31 11 Jan 26

One of the best Ai training institute, The best part is the live project and the practical learning experience leading to placement

Aarti Jaiswar

09:39 09 Jan 26

Skill AI has very professional placement services. Their internships are very fruitful and really helped boost my profile. After completing the internship, I started receiving many interview calls and messages from different companies. Highly recommended for career growth.

Nusrat Shaikh

09:28 09 Jan 26

Skill AI's placement service is simply wow. They created my profile like an experienced professional and provided training in the same way.
Because of this, I am attracting many companies for job interviews on LinkedIn.
Truly impressed with their support and guidance.

Archana Jaiswar

09:27 09 Jan 26

Skill Ai has very professional placement services. Their internships are very fruitful and really helped boost my profile.After completing the internships, I started receiving many interviews calls and messages from different companies. Highly recommended for career growth.