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Best Online Machine Learning Course in India

Join thousands of learners who’ve advanced their careers with the best machine learning course in india

Our Machine Learning Course offers a classroom-like experience online. This 3-month course covers supervised and unsupervised learning, MLOps, and Python programming. You’ll work on practical projects like predicting IPL scores, forecasting rainfall, and detecting spam SMS using tools like TensorFlow, Keras, ChatGPT, and Amazon Sagemaker. We provide placement support via our job portal, helping you find top opportunities with leading companies across India. By the end of the course, you will master machine learning and get certifications recognized by top companies, boosting your career growth.

10 Weeks

Beginner Friendly

Placement Assistance

Hands-on Capstones

15+Live Projects

95%Placement Rate

24/7Mentor Support

₹8LAvg. Salary

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Cohort StatusSeats Filling Rapidly

Start DateNov 1, 2026

All-Inclusive Program Fee

₹0/-

Includes lifetime LMS access, practical mentorship & certificate.

Live doubt sessions & industry project reviews
Access to LMS Sandbox, quizzes & datasets
Industry-recognized credential upon submission
Dedicated career counseling & ATS resume audit

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Encrypted checkout & instant credential delivery

Best Online Course for Machine Learning

Our structured 8-step process ensures your project is delivered.

01
Discussion
Engage in discussions to clarify project goals and ensure your data analysis approach aligns with business objectives.
02
Data Collection
Gather and organize data from various sources, ensuring it is comprehensive and relevant for your analysis.
03
Data Preprocessing
Clean and preprocess the data to handle missing values, outliers, and ensure it is in a sutable format for model training
04
Exploratory Data Analysis (EDA)
Conduct exploratory data analysis to understand data distributions, identify patterns, and generate initial insights.

05
Model Selection
Choose appropriate machine learning algorithms based on the problem type (classification, regression, clustering, etc.) and data characteristics.
06
Model Training
Train the selected models on the preprocessed data, fine-tuning parameters to improve performance.
07
Model Evaluation
Evaluate the trained models using validation techniques and metrics to ensure they meet the desired accuracy and performance.
08
Deployment and Monitoring
Deploy the models into a production environment and continuously monitor their performance, making updates as necessary to maintain accuracy and relevance.

01
Discussion
Engage in discussions to clarify project goals and ensure your data analysis approach aligns with business objectives.
02
Data Collection
Gather and organize data from various sources, ensuring it is comprehensive and relevant for your analysis.
03
Data Preprocessing
Clean and preprocess the data to handle missing values, outliers, and ensure it is in a sutable format for model training
04
Exploratory Data Analysis (EDA)
Conduct exploratory data analysis to understand data distributions, identify patterns, and generate initial insights.
05
Model Selection
Choose appropriate machine learning algorithms based on the problem type (classification, regression, clustering, etc.) and data characteristics.
06
Model Training
Train the selected models on the preprocessed data, fine-tuning parameters to improve performance.
07
Model Evaluation
Evaluate the trained models using validation techniques and metrics to ensure they meet the desired accuracy and performance.
08
Deployment and Monitoring
Deploy the models into a production environment and continuously monitor their performance, making updates as necessary to maintain accuracy and relevance.

Machine Learning Online Training Syllabus

Gain practical skills, industry knowledge, and hands-on experience to excel in your professional journey.

Module 1

Introduction to Machine Learning

What is Machine Learning?.
Supervised Learning (context).
Intuition of Machine Learning.
Various examples of ML.
Supervised Learning (context).
Vectors/Matrices (quick overview).
Introduction.
Add, Subtract.
Scalar Multiplication.
Vector Multiplication.
Inverse, Transpose.

Module 2

Learning with Regression

Intuition & Representation.
Understanding Cost Function.
What is Cost.
Function of Cost and minimization objective.
Intuition of cost with various examples.
Representating and Visualization CF.
Gradient Descent: Intuition.
Multivariate Linear Regression.

Module 3

Logistic Regression

Motivation and Examples.
Understanding classification.
Understanding the model.
Intuition behind decision boundary - seeing how classification is made. how the decision boundary is computed.
Logistic Cost Function.
Cost Function for logistic regression.
Point out that Gradient Descent is the same here as well.
Multiclass classification.

Meet Our Industry Experts

Learn Web Development, Data Science, Digital Marketing, Machine Learning, and UI/UX Design from experts. Master skills and
accelerate your career!

Mr.Sanket Patil

Machine Learning

Machine learning turns data into insight, insight into action, and action into innovation—driving intelligent solutions that learn, adapt, and evolve with every interaction.

Mr.Saiprasad Kagne

Machine Learning

Machine learning is not just about teaching machines to learn; it’s about empowering humans with smarter decisions, uncovering hidden patterns, and shaping a future driven by intelligent systems.

PLACEMENT ASSISTANCE

Placement Support & Career Guidance

If you're a fresher in a smaller city, getting interview calls is often the hardest step. Placement support is built into our online courses for freshers, so your job search doesn't start from zero. Finish your project and assessments to become eligible for openings at our partner companies.

01
Job portal
Openings picked by our team, so you spend less time sorting through listings.
02
Resume Reviews
A real person reads your resume and tells you what to fix.
03
Interview with Hiring Partners
Exclusive interview opportunities with companies we work with.

Your Future Job Title: Best Online Course for Machine Learning

Data ScientistMachine Learning EngineerBusiness Intelligence (BI) DeveloperDeep Learning Engineer

Why Machine Learning is the Best Career Choice

The global machine learning market is growing rapidly and is expected to exceed $30 billion by 2026. This growth means there will be more job opportunities and higher salaries for people working in machine learning. Due to good salary and job opportunities, Machine Learning is becoming one of the best career options.

Average Hike at Kre8ly

Per annum starting salary

Average Salary of Past Learners

0 to 0 Lakhs

Career growth support

Perks of the Internship at Kre8ly

Industry experience, mentor guidance and career support come with the program.

150+ Hiring Partners

₹21 Lakhs Highest Salary

Placement Guidance

Affordable Price

Lifetime recorded videoss

175% Highest Hike

Government-approved Certification

A program designed by Subject-Matter Experts

Why Join Best Best Online Course for Machine Learning at Kre8ly

Here's what you get on top of the lessons.

Professional Certificate

Become a certified Machine Learning with an official certificate from Kre8ly.

Resume Builder

Get dedicated career guidance and mentoring from our mentors to enhance your resume using our builder.

Job Portal

Get dedicated career guidance and mentoring from our mentors to improve your job prospects on our portal.

Chance to work on real project

Get a chance to work on real project in Kre8ly or any other real projects while learning!

Technologies & Tools You Will Learn

Get hands-on experience with the most in-demand tools and frameworks used across the industry.

Azure

Pytorch

Tensor flow

Vector AI

Weka

Keras

Chat GPT

H2O.ai

Big ML

Amazon SageMaker - Technologies & Tools You Will Learn in Machine Learning Course at Kre8ly