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Course11110616463 lectures

Predictive Analytics - Regression and Classification

Prof. Sourish Das · Chennai Mathematical Institute

Start with lecture 1 At NPTEL

Lectures

Week 1

  1. Introduction Video
  2. Least Squares method Video
  3. Hands-on with Python Part -1 Video
  4. Hands-on with R Part -1 Video
  5. Categorical Variable as Predictor Part -1 Video
  6. Categorical Variable as Predictor Part -2 Video
  7. Hands-on with R Part -2 Video
  8. Understanding the joint probability from data perspective Video
  9. Hands-on with R Part -3 Video
  10. Regression Line as Conditional Expectation Video

Week 2

  1. Normal Equations Video
  2. Gauss Markov Theorem Video
  3. Hands-on with Python Part -2 Video
  4. Geometry of Regression Model and Feature Engineering Video
  5. Sampling Distribution and Statistical Inference of Regression Coefficient Video
  6. Hands-on with R Part -4 Video

Week 3

  1. Checking Model Assumptions Video
  2. Comparing Models with Predictive Accuracy Video
  3. Hands-on with Julia Video
  4. Model Complexity, Bias and Variance Tradeoff Video
  5. Feature Selection, Variable Selection Video
  6. Hands on with R Part - 5 Video

Week 4

  1. Understanding Multicollinearity Video
  2. Ill-Posed Problem and Regularisation, LASSO and Risdge Video
  3. Time Series Forecasting with Regression Model Video
  4. Hands on with R Part - 6 Video
  5. Granger Causal model Video
  6. Hands on with R Part - 7 Video

Week 5

  1. Capital Asset Pricing Model Video
  2. Hands on with R for CAPM Video
  3. Bootstrap Regression Video
  4. Hands on with R for Bootstrap Regression Video
  5. Hands on with Python : Handle multicollinearity with Ridge correction Video
  6. Hands on with Julia: Implemente Chennai Temperature Analysis with Julia and CRRao Video

Week 6

  1. Introduction to logistic Regression Video
  2. Maximum Likelihood Estimate for Logistic Regression Video
  3. Hands on with R for Logistic Regression Video
  4. Hands on with R : Measure Time performance of R code Video
  5. Statistical Inference of Logistic Regression Video
  6. Hands on with R with Iris Dataset Video
  7. Multi-Class Classification with Discriminant Analysis Video
  8. Hands on with R: Implement LDA Video

Week 7

  1. Effect of Feature Engineer in Logistic Regression Video
  2. Logistic Regression to Deep Learning Neural Network Video
  3. Hands on with R : Feature Engineer in Logistic Regression Video
  4. Generalised Linear Model Video
  5. Hands on with R : Poisson Regression with Football Data Video

Week 8

  1. Gaussian Process Regression Video
  2. Hands on with R: Implement GP Regression from scratch Video
  3. Tree Structured Regression Video
  4. Hands on with R: Implement Tree Regression and Random Forest with Simulated Data Video
  5. Hands on with R: Implement Tree Regression and Random Forest with EPL football Data Video

Week 9

  1. Hands on with Python : Analysis of Bangalore House Price Data Video
  2. Hands on with R : Prediction of Bangalore House Price Video
  3. Hands on with R : More Prediction of Bangalore House Price Video

Week 10

  1. Hands on with R: Some Correction with Bangalore House Price Data Prediction Video
  2. Hands on with R: Classify fake bank note with GLM Video
  3. Hands on with R: Dynamic Pricing with Cheese Data Video

Week 11

  1. Hands on with Julia | Bayesian Logistic Regression with Horse Shoe Prior | Genetic Data Analysis Video
  2. Hands on with Julia | Bayesian Poisson Regression with Horse Shoe Prior | English Premier League Data Video
  3. Why Julia is Future for Data Science Projects? Video

Week 12

  1. Course Review Video
  2. Concluding Remarks Video

Syllabus and materials

At NPTEL, as the course publishes them.

Credits and licence

Institution
Chennai Mathematical Institute
Department
Mathematics
Teacher
Prof. Sourish Das
Level
Undergraduate
Language
English
Subjects
Mathematics
Source
NPTEL
Licence
CC BY-NC-SA, as NPTEL states it. Non-commercial use only. NPTEL's terms
Attribution
NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge. Coordinated by IIT Madras.
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