Python Exercise on Naive Bayes

[@mayanksj]

Machine Learning by Prof. Sudeshna Sarkar Basics 1. Foundations of Machine Learning (kzbin.info/www/bejne/eIOwhGaKZpZ2mtk) 2. Different Types of Learning (kzbin.info/www/bejne/e4jQdJ6Mm7WhgJo) 3. Hypothesis Space and Inductive Bias (kzbin.info/www/bejne/moqwdKqunNFmrM0) 4. Evaluation and Cross-Validation (kzbin.info/www/bejne/pIqmcntul5p0h5I) 5. Linear Regression (kzbin.info/www/bejne/boGtY2eJp7akr5o) 6. Introduction to Decision Trees (kzbin.info/www/bejne/fKath3-pj76eq6c) 7. Learning Decision Trees (kzbin.info/www/bejne/bYS2cnRneKprhMk) 8. Overfitting (kzbin.info/www/bejne/r2e2oXRojNqsqpo) 9. Python Exercise on Decision Tree and Linear Regression (kzbin.info/www/bejne/onqlgXyed5VllZo) Recommendations and Similarity 10. k-Nearest Neighbours (kzbin.info/www/bejne/hn_KnaidpNR9i7M) 11. Feature Selection (kzbin.info/www/bejne/gYXdiYmkh9GhrZY ) 12. Feature Extraction (kzbin.info/www/bejne/fKjFiXuPbbB2i9k) 13. Collaborative Filtering (kzbin.info/www/bejne/iIeth2uMfMZkkLs) 14. Python Exercise on kNN and PCA (kzbin.info/www/bejne/amGlaXdvhLyInJI) Bayes 16. Baiyesian Learning (kzbin.info/www/bejne/e2TPY2mYicmnrqs) 17. Naive Bayes (kzbin.info/www/bejne/a4imnKV6fpyJedU) 18. Bayesian Network (kzbin.info/www/bejne/ammTkpJon7eXgZI) 19. Python Exercise on Naive Bayes (kzbin.info/www/bejne/jpy4YWysepppick) Logistics Regession and SVM 20. Logistics Regression (kzbin.info/www/bejne/eXaTZHhuZdyViKc) 21. Introduction to Support Vector Machine (kzbin.info/www/bejne/nZrHe5WBZsyLo6M) 22. The Dual Formation (kzbin.info/www/bejne/j4DWo4yiZq-FqMU) 23. SVM Maximum Margin with Noise (kzbin.info/www/bejne/jX3Lp52mpKiDn7s) 24. Nonlinear SVM and Kernel Function (kzbin.info/www/bejne/fZSmeGOGhbtpmck) 25. SVM Solution to the Dual Problem (kzbin.info/www/bejne/kGGmpYx4hbdoqaM) 26. Python Exercise on SVM (kzbin.info/www/bejne/rWibYotqbKqmoJo) Neural Networks 27. Introduction to Neural Networks (kzbin.info/www/bejne/sHi0m5uVf7aNbaM) 28. Multilayer Neural Network (kzbin.info/www/bejne/nqnTeK13l5Kjr8U) 29. Neural Network and Backpropagation Algorithm (kzbin.info/www/bejne/ime6fXyYhNOerLM) 30. Deep Neural Network (kzbin.info/www/bejne/pn2zo2ekf8aXaqM) 31. Python Exercise on Neural Networks (kzbin.info/www/bejne/oYXFimVmrdGlmKM) Computational Learning Theory 32. Introduction to Computational Learning Theory (kzbin.info/www/bejne/bpmtaolvYstlgJo) 33. Sample Complexity: Finite Hypothesis Space (kzbin.info/www/bejne/pJ6XlYyPhZKGgNU) 34. VC Dimension (kzbin.info/www/bejne/hofLmX-BpMmEbcU) 35. Introduction to Ensembles (kzbin.info/www/bejne/pJbPe2apq99jldE) 36. Bagging and Boosting (kzbin.info/www/bejne/g4OnZ2qNnLyipKM) Clustering 37. Introduction to Clustering (kzbin.info/www/bejne/eajNfYCMapensKs) 38. Kmeans Clustering (kzbin.info/www/bejne/p5jCfmZtjKx-fZo) 39. Agglomerative Clustering (kzbin.info/www/bejne/hHTWeYWDoKmFe5Y) 40. Python Exercise on means Clustering (kzbin.info/www/bejne/p6Sap3iJaZuFp5o) Tutorial I (kzbin.info/www/bejne/q3fclXljnJJ0gNU) Tutorial II (kzbin.info/www/bejne/g2erlX6IqpuAqMU ) Tutorial III (kzbin.info/www/bejne/i5qWmWqupKpgd7M) Tutorial IV (kzbin.info/www/bejne/aZ6ahn2Brbpgipo) Tutorial VI (kzbin.info/www/bejne/mGS5nmewpayWgJY) Solution to Assignment 1 (kzbin.info/www/bejne/p6LPcpifopWlgbs)

[@saikatsengupta6675]

Where are you training the data?

[@code7434]

Can we get the python code file

[@rlm3574]

please provide the trainnig data for youtube viewers also ..

[@sangaviloganathan5194]

kindly provide the code separately