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Machine Learning Course

Advanced certification program in ML

13 weeks Instructor-led & Online training

6 Reasons why you should consider this program

Instructor-led & Interactive

You will learn from expert trainers who are capable of making learning tech simple, engaging & fun.

Individual attention & Inspiring peers

You will get individual attention from trainers & you get to network with peers from industries.

Most affordable premium course

You get the learning experience of a premium course at a pocket friendly cost.

Active trainer support

Trainers will ensure complete understanding of concepts & help with doubts actively.

Work on 15+ real time problems

You will work on 15+ real world problems. Trainers will assist you with the projects.

IIT Madras Incubated Startup

We are an IIT Madras Incubated startup founded by Alumni of IIT Madras under the guidance of faculty members from IITM.


The curriculum for this course was designed in association with Hyperverge.

Week 1: Linear Regression

– What is Artificial Intelligence
– Machine Learning & Types
– Fundamentals of Python
– Data Preprocessing in python
– Defining a Model
– Error Calculation
– Gradient Descent Algorithm

Problem: Predicting Housing Prices based on the size of the house using Gradient Descent Algorithm

Week 2: Logistics Regression (Classification)

– Classification problem
– Data Preprocessing
– Defining a Model
– One vs. All
– Error & Accuracy Calculation
– Gradient Descent Algorithm
– Prediction

Problem: Handwritten Digit Recognition using Gradient Descent Algorithm

Week 3: Multi variate Linear Regression

– Introduction to Scikit Learn
– Label Encoding
– Data Preprocessing
– Gradient Descent Algorithm, TNC
– Regularization Parameter
– Hyperparameter Grid Search
– Bias, Variance, Accuracy, Precision

Problem: Solve Kaggle Datasets

Week 4: K Nearest Neighbour

– What is KNN?
– Example KNN Problem
– Defining the Objective function
– Optimize Objective function
– Prediction & Accuracy

Problem: Online shoppers’ buying intention.

Week 5: Decision Tree & Random Forest

– What is Decision Tree?
– Calculating Entropy
– Calculating Information gain
– Gini Index
– Objective Function

– What is Random Forest & Bagging?
– Advantages of using Random Forest
– Pruning
– Objective Function
– Prediction & Accuracy

Decision Tree Problem: Depending on the weather predicting the possibility of playing cricket
Random Forest Problem: Behavioral Risk factor Surveillance System

Week 6: Naive Bayes

– NLP Basics
– N Gram Model, Bag of Words
– TF-IDF Vectorisation
– Bayes Theorem
– Multinomial & Bernoulli Naive Bayes
– Prediction & Accuracy

Problem: Building a spam classifier

Week 7: Ensembles

– What is Gradient Boosting?


– Algorithmic Enhancements
– System Optimization
– Objective function
– Prediction & Accuracy


–  Objective function
– Prediction & Accuracy

Problem: Indian Pima Diabetics Prediction

Week 8 & 9: Support Vector Machine (SVM)

– What is SVM?
– Intuition Behind SVM
– Defining the Objective function
– Optimize Objective function
– Kernels
– Prediction & Accuracy
– Sliding Window technique
– OpenCV
– Optimisation

Problem: Solving MNIST dataset, Facial Recognition

Week 10: Assessment & Project

– Telecom Customer Churn Prediction
– Insurance Claim Fraud Detection
– Gold Price Prediction
– Credit Card Fraud Detection
– Natural Scene Text Detection
– IDB – Income Qualification Prediction

Week 11: Neural Networks

– What is Neural network?
– Defining a Model
– Back Propagation Algorithm
– Classification Problem

Problem: Solving Fashion MNIST dataset

Week 12: Unsupervised Learning & K Means

– K Means Clustering
– Hierarchical Clustering
– K Means for non-separated clusters
– Principle Component Analysis

Problem: Movie Recommendations

Week 13: Projects

– Capstone Project

– Kaggle Competitions

– Carrer Guidance & Mentorship

HV Logo

HyperVerge, Inc. is a Silicon Valley based AI company. Our AI models for real time image and video analysis lead the market on accuracy (99.5%) and recall (99.3%) values, and are optimized for deployments in low bandwidth environments.

Deep-learning networks built by HyperVerge are powering applications for large enterprise clients in Financial Services, Telecom, Energy, Security, and Defense.


Skills you will learn


Skills required to be an ML Developer

You will learn & master ML from fundamentals and eventually gain all skills required to be an ML developer.


Python Programming

You will work with python programming & create ML models during the course.


Clear understanding of ML algorithms

You will get a clear understanding about all ML algorithms & will be confident to apply on real world problems.


Math behind algorithms

You will learn the math behind algorithms and that would help you optimize & improve the efficiency.


Predictive Analytics & Statistics

You will become an expert with predictive analytics & also learn the necessary statistics concepts.


Data Cleaning & Preprocessing

You will start from scratch and learn how to clean any given data & do preprocessing to make sure it fits to your ML model.

tools used in ML course


How the classes happen?

Live sessions with trainers

Live classes will be conducted by our trainers for 13 weeks on Google Meet.


You will be given assignments after each week to make you understand the concepts & solve problems effectively.

Recorded Sessions

You will also get access to recorded sessions to refer in the future.

Who can attend?

  • Engineers & Executives
  • Software/ IT / Data Professionals
  • Engineering students/Professors
  • Hobbyists


  • No Prerequisites. All programming & math concepts will be taught from basics.
  • Should be ready to commit to rigorous training and learning

Class Duration

  • Weekdays – 3 hours session on Tue & Wed
  • Weekends – 3 hours session on Sat & Sun

Course Fees

Rs. 17,000/-

(Fee is inclusive of 18% GST)

Upcoming Batches

Stay tuned!

Fee Inclusions
  • 13 weeks of online training
  • Access to our e-Learning portal
  • Project Guidance & Mentorship
  • Certification
  • 18% GST
Infrastructure Requirements
  • Good Internet Facility
  • Windows or Mac with decent specification

Interested in this program? Register your interest now. Our team will keep you informed about upcoming batches!


What Our Students Say

“Honestly, I didn’t have a lot of expectations when I signed up for the course, but things changed after the 1st two sessions. Just as it was picking up the momentum, we all were hit by the pandemic and we had to turn to the online option after a brief hiatus. I was skeptical as I wasn’t sure how effective the classes would be. To my surprise again, the classes were made so interesting that I didn’t find it difficult to follow at all. The course starts with the basics laying a strong foundation on AI & ML including topics on stats, python, mathematics before getting into the details. I find this course a definite eye opener. 

A special shout-out to Pawan who takes his job very seriously. I’m totally impressed. You can get instructors who are knowledgeable but this guy goes way beyond that. He ensures that all your questions are answered and no one in the class is left behind. 

I would strongly recommend Pawan and this course of course, to anyone who is interested in learning ML. “

Head – QA Practice, Mastech Info Trellis

“ This ML course is a complete package that one wants to take up and add the skillset to your resume. Although I have done course in Udemy, this course no way near comparable to it. The fine blend of the math and code is a pure bliss and the assignments of basic python just gives you a head start to understand the code used inside the course. The partial offline and online due to pandemic didn’t affect much rather reduced the travel burden for me, but the class quality was not compromised at all. Everyone at the end of this course can easily and confidently say that you can solve ML problems on your own. Happy coding guys… “

Abhishek Karthik
Full Stack Developer, Sanmina

“ I took Lema Labs Machine Learning program in March 2020, just before the pandemic, and I would wholeheartedly say I was very impressed. In the midst of lots of online options, Lema Labs stands out and excels in their interactive content delivery and truly personalised attention to each and every participant. I personally feel very energised interacting with their staff’s radiating enthusiasm, passion to teach and willing to go extra mile to help participants. 

I highly recommend Lema Labs programs for people who want interactive learning and friendly atmosphere to learn. Their commitment to not just meet expectation, but go over and beyond makes them unique and special. “

Rajesh Rajendran
Chief Business Officier, GNR Power Pvt Ltd

Register your interest in

Machine Learning Course

Our team will get in touch with you and update you when the next batch comes up!

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Frequently Asked

Should I have any programming knowledge to join this program?

Not necesarrily. You will learn python programming during the course from basics. However basic knowledge on anyone of the programming language would help.

I'm a beginner in ML. Can I join?

Yes. This course is designed considering all the participants are beginners. It starts from fundamentals and at the end of the course you will be an expert in solving ML problems.

How to register for this program?

You can register online through our website by paying an advance fee of Rs.2000 and get your slot.

How should I pay the course fee?

After registering online, the balance fees can be paid in two installments. 

– 1st installment when the course begins

– 2nd installment after a month

What if I miss one or two classes due to emergency?

It is recommended not to miss any class. However if you miss any class due to unavoidable reasons, you can compensate that with the recorded session videos.

Will I get any support even after the 13 weeks?

Yes. You can get in touch with our trainers & mentors for any projects and job assistance. We would be happy to help!

Have any questions or need assistance?

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