# Predictive Analytics - Regression and Classification

- Institution: Chennai Mathematical Institute
- Department: Mathematics
- Teacher: Prof. Sourish Das
- Level: Undergraduate
- Language: English
- Subjects: Mathematics
- Source: [NPTEL](https://nptel.ac.in/courses/111106164)
- Licence: [CC BY-NC-SA](https://nptel.ac.in/faq) (Non-commercial use only.)
- Syllabus: [at the source](https://nptel.ac.in/courses/111106164)
- Who can watch: Tweens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

## Lectures

1. [Introduction](https://invisiblenetwork.ai/learn/nptel/111106164/789817431305) (Video)
2. [Least Squares method](https://invisiblenetwork.ai/learn/nptel/111106164/5f70f7223af7) (Video)
3. [Hands-on with Python Part -1](https://invisiblenetwork.ai/learn/nptel/111106164/bffddc377d77) (Video)
4. [Hands-on with R Part -1](https://invisiblenetwork.ai/learn/nptel/111106164/83ec52dd7973) (Video)
5. [Categorical Variable as Predictor Part -1](https://invisiblenetwork.ai/learn/nptel/111106164/6d2c8a1a289b) (Video)
6. [Categorical Variable as Predictor Part -2](https://invisiblenetwork.ai/learn/nptel/111106164/f006989d9886) (Video)
7. [Hands-on with R Part -2](https://invisiblenetwork.ai/learn/nptel/111106164/da3fecd13cf7) (Video)
8. [Understanding the joint probability from data perspective](https://invisiblenetwork.ai/learn/nptel/111106164/7027204a80a3) (Video)
9. [Hands-on with R Part -3](https://invisiblenetwork.ai/learn/nptel/111106164/0ab452866b2d) (Video)
10. [Regression Line as Conditional Expectation](https://invisiblenetwork.ai/learn/nptel/111106164/1d0fdd8ab56c) (Video)
11. [Normal Equations](https://invisiblenetwork.ai/learn/nptel/111106164/d36cf17ac3f8) (Video)
12. [Gauss Markov Theorem](https://invisiblenetwork.ai/learn/nptel/111106164/0ba1df018dbb) (Video)
13. [Hands-on with Python Part -2](https://invisiblenetwork.ai/learn/nptel/111106164/39961c1d6596) (Video)
14. [Geometry of Regression Model and Feature Engineering](https://invisiblenetwork.ai/learn/nptel/111106164/0ce8e0c5a6ce) (Video)
15. [Sampling Distribution and Statistical Inference of Regression Coefficient](https://invisiblenetwork.ai/learn/nptel/111106164/e342c20d2708) (Video)
16. [Hands-on with R Part -4](https://invisiblenetwork.ai/learn/nptel/111106164/e7cfe61953c0) (Video)
17. [Checking Model Assumptions](https://invisiblenetwork.ai/learn/nptel/111106164/5dcf875c4483) (Video)
18. [Comparing Models with Predictive Accuracy](https://invisiblenetwork.ai/learn/nptel/111106164/8c0528dcf499) (Video)
19. [Hands-on with Julia](https://invisiblenetwork.ai/learn/nptel/111106164/192f5f4719ca) (Video)
20. [Model Complexity, Bias and Variance Tradeoff](https://invisiblenetwork.ai/learn/nptel/111106164/99001d494a3c) (Video)
21. [Feature Selection, Variable Selection](https://invisiblenetwork.ai/learn/nptel/111106164/8eff55b2e785) (Video)
22. [Hands on with R Part - 5](https://invisiblenetwork.ai/learn/nptel/111106164/faa72c5b75fb) (Video)
23. [Understanding Multicollinearity](https://invisiblenetwork.ai/learn/nptel/111106164/c50f9532b51c) (Video)
24. [Ill-Posed Problem and Regularisation, LASSO and Risdge](https://invisiblenetwork.ai/learn/nptel/111106164/c1952d500a2a) (Video)
25. [Time Series Forecasting with Regression Model](https://invisiblenetwork.ai/learn/nptel/111106164/a1aa0a74a1cd) (Video)
26. [Hands on with R Part - 6](https://invisiblenetwork.ai/learn/nptel/111106164/275403488fab) (Video)
27. [Granger Causal model](https://invisiblenetwork.ai/learn/nptel/111106164/5277eb92e466) (Video)
28. [Hands on with R Part - 7](https://invisiblenetwork.ai/learn/nptel/111106164/e792b040383f) (Video)
29. [Capital Asset Pricing Model](https://invisiblenetwork.ai/learn/nptel/111106164/cb286c30f8ea) (Video)
30. [Hands on with R for CAPM](https://invisiblenetwork.ai/learn/nptel/111106164/65c197c0db98) (Video)
31. [Bootstrap Regression](https://invisiblenetwork.ai/learn/nptel/111106164/1de282122afe) (Video)
32. [Hands on with R for Bootstrap Regression](https://invisiblenetwork.ai/learn/nptel/111106164/f8ae1946548f) (Video)
33. [Hands on with Python : Handle multicollinearity with Ridge correction](https://invisiblenetwork.ai/learn/nptel/111106164/25676bce3032) (Video)
34. [Hands on with Julia: Implemente Chennai Temperature Analysis with Julia and CRRao](https://invisiblenetwork.ai/learn/nptel/111106164/1e291c317d3b) (Video)
35. [Introduction to logistic Regression](https://invisiblenetwork.ai/learn/nptel/111106164/b3590580246d) (Video)
36. [Maximum Likelihood Estimate for Logistic Regression](https://invisiblenetwork.ai/learn/nptel/111106164/c0b4fa3c37b2) (Video)
37. [Hands on with R for Logistic Regression](https://invisiblenetwork.ai/learn/nptel/111106164/0e956e936b4e) (Video)
38. [Hands on with R : Measure Time performance of R code](https://invisiblenetwork.ai/learn/nptel/111106164/c44b504ca6c8) (Video)
39. [Statistical Inference of Logistic Regression](https://invisiblenetwork.ai/learn/nptel/111106164/65a557a1e266) (Video)
40. [Hands on with R with Iris Dataset](https://invisiblenetwork.ai/learn/nptel/111106164/aea80bd6a190) (Video)
41. [Multi-Class Classification with Discriminant Analysis](https://invisiblenetwork.ai/learn/nptel/111106164/3037e23b248c) (Video)
42. [Hands on with R: Implement LDA](https://invisiblenetwork.ai/learn/nptel/111106164/d4cb7b16bd1a) (Video)
43. [Effect of Feature Engineer in Logistic Regression](https://invisiblenetwork.ai/learn/nptel/111106164/0f7861ba3cd9) (Video)
44. [Logistic Regression to Deep Learning Neural Network](https://invisiblenetwork.ai/learn/nptel/111106164/9d3f0fc0d3e9) (Video)
45. [Hands on with R : Feature Engineer in Logistic Regression](https://invisiblenetwork.ai/learn/nptel/111106164/c04483b70599) (Video)
46. [Generalised Linear Model](https://invisiblenetwork.ai/learn/nptel/111106164/61c2dafbda0f) (Video)
47. [Hands on with R : Poisson Regression with Football Data](https://invisiblenetwork.ai/learn/nptel/111106164/1615cba5bb1c) (Video)
48. [Gaussian Process Regression](https://invisiblenetwork.ai/learn/nptel/111106164/cc21fe45c502) (Video)
49. [Hands on with R: Implement GP Regression from scratch](https://invisiblenetwork.ai/learn/nptel/111106164/384cd564d378) (Video)
50. [Tree Structured Regression](https://invisiblenetwork.ai/learn/nptel/111106164/fc086a647f5b) (Video)
51. [Hands on with R: Implement Tree Regression and Random Forest with Simulated Data](https://invisiblenetwork.ai/learn/nptel/111106164/c7f0196aaff7) (Video)
52. [Hands on with R: Implement Tree Regression and Random Forest with EPL football Data](https://invisiblenetwork.ai/learn/nptel/111106164/4d0ef9a25289) (Video)
53. [Hands on with Python : Analysis of Bangalore House Price Data](https://invisiblenetwork.ai/learn/nptel/111106164/be43646fdbe0) (Video)
54. [Hands on with R : Prediction of Bangalore House Price](https://invisiblenetwork.ai/learn/nptel/111106164/49b5246fc161) (Video)
55. [Hands on with R : More Prediction of Bangalore House Price](https://invisiblenetwork.ai/learn/nptel/111106164/eba7b4e5f9e2) (Video)
56. [Hands on with R: Some Correction with Bangalore House Price Data Prediction](https://invisiblenetwork.ai/learn/nptel/111106164/55ca837a6f71) (Video)
57. [Hands on with R: Classify fake bank note with GLM](https://invisiblenetwork.ai/learn/nptel/111106164/f55f85d80356) (Video)
58. [Hands on with R: Dynamic Pricing with Cheese Data](https://invisiblenetwork.ai/learn/nptel/111106164/9de875ecd7de) (Video)
59. [Hands on with Julia | Bayesian Logistic Regression with Horse Shoe Prior | Genetic Data Analysis](https://invisiblenetwork.ai/learn/nptel/111106164/74f9c5593f51) (Video)
60. [Hands on with Julia | Bayesian Poisson Regression with Horse Shoe Prior | English Premier League Data](https://invisiblenetwork.ai/learn/nptel/111106164/e8821e545a66) (Video)
61. [Why Julia is Future for Data Science Projects?](https://invisiblenetwork.ai/learn/nptel/111106164/bb8359de3deb) (Video)
62. [Course Review](https://invisiblenetwork.ai/learn/nptel/111106164/c29dfe73081a) (Video)
63. [Concluding Remarks](https://invisiblenetwork.ai/learn/nptel/111106164/1d13d8bbea9a) (Video)