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Below is the detailed day-to-day & slot-wise program with Lecture Modules & Hands-On Coding Sessions for the   IIT Kanpur Advanced Career School in PYTHON-Based Data Science, Machine Learning & Deep Learning from 22nd January to 25th February, 2022


22ndJanuary, 2022                                                     
12:00 PM - 12:30 PM Zoom Test Session
Week-1                                                     
24th January, 2022                                                     
06:00 PM - 7:30 PM Lecture 1: Introduction to Data Science
7:30 PM – 8:00 PM Break
8:00 PM - 9:15 PM Project 1: Introduction to PANDAS for Data Handling and Data Manipulation
25th January, 2022                                                     
6:00 PM - 7:30 PM Lecture 2: Introduction to Statistical Quantities
7:30 PM – 8:00 PM Break
8:00 PM - 9:15 PM Project 2: PANDAS Library Tools and Data Handling using Practical Data Sets
26th January, 2022                                                     
06:00 PM - 07:30 PM Lecture 3: Introduction to Probability and Random Variables
7:30 PM – 8:00 PM Break
8:00 PM - 9:15 PM Lecture 4: Gaussian PDF Properties and Kernel Density Estimation (KDE)
27th January, 2022                                                     
06:00 PM - 7:30 PM Lecture 5: Concept of Correlation, Heat Maps
7:30 PM – 8:00 PM Break
8:00 PM - 9:15 PM Project 3: PYTHON – NUMPY Package for Numerical Computation
28th January, 2022                                                     
06:00 PM - 7:30 PM Project 5: PYTHON – RANDOM Package for Random Variables and Sampling
7:30 PM – 8:00 PM Break
8:00 PM - 9:15 PM Project 4: Seaborn Package for PYTHON Based Data Visualization – Part I
Week-2                                                    
31st January, 2022                                                    
06:00 PM - 7:30 PM Lecture 6: Introduction to Machine Learning (ML)
7:30 PM – 8:00 PM Break
8:00 PM - 9:15 PM Project 6: Seaborn plots for Data Representation – Violin Plot, Strip Plot, Swarm Plot
1st February, 2022                                                     
06:00 PM - 7:30 PM Project 7: Introduction to PYTHON plotting package MATPLOTLIB
7:30 PM – 9:30 PM Break
9:30 PM - 10:45 PM Lecture 7: Invited Guest Lecture by Mr. Tanmay Gupta
2nd February, 2022                                                    
06:00 PM - 7:30 PM Lecture 8: Introduction to Linear Algebra for Machine Learning
7:30 PM – 8:00 PM Break
8:00 PM - 9:15 PM Project 8: Introduction to PYTHON Data Types and Basic Programming
3rd February, 2022                                                    
06:00 PM - 7:30 PM Lecture 9: Matrix Fundamentals for Machine Learning
7:30 PM – 8:00 PM Break
8:00 PM - 9:15 PM Project 9: PYTHON-based Linear Algebra Packages for Machine Learning – NUMPY and LINALG
4th February, 2022                                                    
06:00 PM - 7:30 PM Lecture 10: Regression Analysis for Machine Learning – Batch and Online Algorithms
7:30 PM – 8:00 PM Break
8:00 PM - 9:15 PM Project 10: PYTHON-based Regression for Machine Learning – SCIKIT Linear Regression IRIS Dataset
Project 11: Linear Regression with Boston Housing Dataset
Week-3                                                    
7th February, 2022                                                     
06:00 PM - 7:30 PM Lecture 11: Logistic Regression for Machine Learning
7:30 PM – 8:00 PM Break
8:00 PM - 9:15 PM Project 12: PYTHON-based Logistic Regression for Machine Learning – SCIKIT Logistic Regression, Purchase/ Shopping Data
8th February, 2022                                                     
06:00 PM - 7:30 PM Lecture 12: Principal Component Analysis (PCA) for Machine Learning
7:30 PM – 8:00 PM Break
8:00 PM - 9:15 PM Project 13: PYTHON-based PCA for Machine Learning – SCIKIT Logistic Regression, Purchase/ Shopping Data
9th February, 2022                                                    
06:00 PM - 7:30 PM Lecture 13: Linear Discriminant Analysis (LDA) for Machine Learning
7:30 PM – 8:00 PM Break
8:00 PM - 9:15 PM Project 14: PYTHON-based LDA for Machine Learning – SCIKIT LDA, IRIS Data Set
10th February, 2022                                                     
06:00 PM - 7:30 PM Lecture 14: Support Vector Machine (SVM) for Machine Learning- Convexity and Convex Optimization
7:30 PM – 8:00 PM Break
8:00 PM - 9:15 PM Project 15: PYTHON-based SVM for Machine Learning – SCIKIT SVC, IRIS Data Set, Breast Cancer Data Set
Project 16: SVM with Breast Cancer Data Set
11th February, 2022                                                     
06:00 PM - 07:30 PM Lecture 15: Naοve Bayes for Classification Machine Learning
7:30 PM – 8:00 PM Break
8:00 PM - 9:15 PM Project 17: PYTHON-based Naοve Bayes Clustering: SCIKIT, Purchase Data
Week-4                                                     
14th February, 2022                                                     
06:00 PM - 7:30 PM Lecture 16: K-Means Clustering for Machine Learning
7:30 PM – 8:00 PM Break
8:00 PM - 9:15 PM Project 18: PYTHON-based K-Means Clustering
15th February, 2022                                                     
06:00 PM - 7:30 PM Lecture 17: Probabilistic Clustering for Machine Learning – Expectation Maximization (EM) Algorithm for Gaussian Mixture Models (GMMs)
7:30 PM – 8:00 PM Break
8:00 PM - 9:15 PM Project 19: PYTHON-based EM Algorithm for Clustering using Gaussian Mixture Models (GMMs)
16th February, 2022                                                     
06:00 PM - 7:30 PM Lecture 18: Orthogonal Matching Pursuit (OMP) for Sparse Regression
7:30 PM – 8:00 PM Break
8:00 PM - 9:15 PM Project 20: : PYTHON-based OMP for Sparse Regression
17th February, 2022                                                     
06:00 PM - 7:30 PM Lecture 19: Decision Tree Classifier (DTC) for Machine Learning (ML)
7:30 PM – 8:00 PM Break
8:00 PM - 9:15 PM Project 21: PYTHON-based Decision Tree Classifier – IRIS Dataset
Project 22: Decision Tree Classifier – Purchase Logistic Data Set
18th February, 2022                                                     
06:00 PM - 7:30 PM Lecture 20: Factor Analysis for Machine Learning, Bartlett Sphericity, KMO
7:30 PM – 8:00 PM Break
8:00 PM - 9:15 PM Project 23: PYTHON-based Factor Analysis IRIS Dataset
Project 24: Factor Analysis BFI Dataset
Week-5                                                     
21st February, 2022                                                     
06:00 PM - 7:30 PM Lecture 21: Independent Component Analysis (ICA) for Machine Learning
7:30 PM – 8:00 PM Break
8:00 PM - 9:15 PM Project 25: PYTHON-based ICA for Machine Learning – ICA for Source Separation and Wireless MIMO Detection
22nd February, 2022                                                     
06:00 PM - 7:30 PM Lecture 22: Introduction to Neural Networks (NNs)
7:30 PM – 8:00 PM Break
8:00 PM - 9:15 PM Project 26: PYTHON – Based Neural Networks – Boston Data Set
Project 27: Neural Networks – Mobile Prices Dataset
23rd February, 2022                                                     
06:00 PM - 7:30 PM Lecture 23: Deep Learning, Advanced Neural Networks and Convolutional Neural Networks
7:30 PM – 8:00 PM Break
8:00 PM - 9:15 PM Lecture 24: Convolutional Neural Networks
24th February, 2022                                                     
06:00 PM - 7:30 PM Project 28: PYTHON – Based Deep Learning for Fashion Classification – Keras, Tensorflow, MNIST Fashion Data Set
Project 29: PYTHON Based Deep Learning for Digit Classification, MNIST Digit Data Set
7:30 PM – 8:00 PM Break
8:00 PM - 9:15 PM Project 30: PYTHON –Based Deep Learning for Movie Rating Classification – IMDB Data Set
Project 31: Deep Learning CIFAR Dataset
25th February, 2022                                                     
06:00 PM - 7:30 PM Project 32: PYTHON-Based Case Study – Comprehensive Application of ML Algorithms and Evaluation of Efficiency – Wine Data Set
7:30 PM – 8:00 PM Break
8:00 PM - 9:15 PM Project 33 PYTHON-Based Case Study – Comprehensive Application of ML Algorithms and Evaluation of Efficiency – Breast Cancer Dataset