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India's Only Personalized Mentorship Program

Machine Learning

Our ML course teaches the latest technologies involved in the domain to keep you consistently updated

Money-Back Guarantee

Live Interactions

Lifelong Access

Live Projects & Sessions


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Start 1st Jan

2 Months


170+ Companies


3,300+ Students


Only 1% of students get placed in dream companies, this program helped me from being completely clueless       

to get practical work exposure.


Kanika, Placed in Microsoft

Course Details

Machine learning (ML) is a type of artificial intelligence (AI) that allows software applications to become more accurate at predicting outcomes without being explicitly programmed to do so. Machine learning algorithms use historical data as input to predict new output values.

Program Highlights

Personalized Program

Master your skills from where you are, with India's only personalised program

Dream Company Mentor

Get career guidance, mentorship, time management strategies from industry experts

Practical Projects

The only thing that companies see on your profile is the practical work experience

100+ Hours of Session

Code live and get mentorship with the top-rated coders of the country.


Live Sessions

Lectures by experts to help you understand the concepts easily

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Internship Experience

Work on practical projects in organization get industry exposure hands on

Program Contents

Intro to Python

In this section you will learn about Python fundamentals and the Data Types, List, Dictionary

Intro to Machine Learning and its tools

Get to know about Machine Learning and the difference between a rule-based algorithm and a Machine Learning algorithm.

Intro to Data Science

 In this section, you will learn about error-handling Pandas and the concept of Visualization

Machine Learning Algorithms

Learn about the training, testing and cross validation of data followed by the features and labels pickling, scaling, techniques and Error Metrics.

Machine Learning Implementation

Learn about the implementation of all the algorithms using Sklearn and the explanation on major projects.

Introduction to KNN,
Basics of Statistics
Intro to Regression
Intro to NLP
Main Project Discussion