Machine Learning Crash Course by Lema Labs (Incubated at IIT Madras) [Weekend Batch Starts on Dec 18]: Register Now!

IITB MSC Digital Society Programme
IITB MSC Digital Society Programme

Lema Labs (Incubated at IIT Madras) is offering Machine Learning Crash Course which will start on December 18, 2021.

About Machine Learning Course

Lema Labs, Incubated at IIT Madras is offering a live instructor-led course on ML. You will learn python programming and the behind ML algorithms from basics. The curriculum has been built in collaboration with the team at HyperVerge.

Unlike most online courses, the trainers give necessary individual attention and also support the students in applying what they have learnt to solve real world problems.

Why you should attend?

  • 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 10+ real time problems
    • You will work on 10+ 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.

Topics Covered during Live Sessions

Week 1: Linear Regression & Gradient Descent Algorithm

  • 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

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

Week 3: Decision Tree & Random Forest

Edureka - PG Diploma in AI & Machine Learning
Edureka - PG Diploma in AI & Machine Learning
  • 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 4: Naive Bayes

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

Problem: Building a spam classifier

Week 4: Boosting Techniques

  • What is Gradient Boosting?
  • Adaboost | Xgboost 
  • Algorithmic Enhancements
  • System Optimization
  • Objective function
  • Prediction & Accuracy

Problem: Indian Pima Diabetics Prediction

Week 5: Support Vector Machine (SVM)

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

Problem: Solving MNIST dataset, Facial Recognition

Self Learning Content

K Nearest Neighbour & SMOTE

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

Problem: Online shoppers’ buying intention

Neural Networks

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

Problem: Solving Fashion MNIST dataset

Unsupervised Learning & K Means Clustering

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

Problem: Movie Recommendations

Who can join?

  • College students
  • Faculty members
  • Working Professionals

Course Duration

  • Weekend: 5 Weeks
    • Saturdays @ 5:30 PM to 8:30 PM
    • Sundays @ 9 AM to 12 PM

Course Fees

Rs.6250/- (Inclusive of 18% GST)

How to Register?

Interested participants can register for the machine learning course through this link.


You can reach out to us at support@lemalabs.com or call us at +91 8056603335.

Click here to view the official notification for the Machine Learning Crash Course by Lema Labs (Incubated at IIT Madras).

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