000			nam a22 4500
999			_c119341 _d119341
003			OSt
005			20210216110203.0
008			200107b ||||| |||| 00| 0 eng d
020			_a9789352138326
040			_c
082			_a005.7565 _bGRU
100			_aGurs, Joel _946542
245			_aData Science from Scratch: First Principles with Python
250			_a2nd ed
260			_bShroff Publishers & Distributors Pvt. Ltd. _c2019 _aMumbai
300			_a384p
500			_a1. Introduction 2. A Crash Course in Python 3. Visualizing Data 4. Linear Algebra 5. Statistics 6. Probability 7. Hypothesis and Inference 8. Gradient Descent 9. Getting Data 10. Working with Data 11. Machine Learning 12. k-Nearest Neighbors 13. Naive Bayes 14. Simple Linear Regression 15. Multiple Regression 16. Logistic Regression 17. Decision Trees 18. Neural Networks 19. Deep Learning 20. Clustering 21. Natural Language Processing 22. Network Analysis 23. Recommender Systems 24. Databases and SQL 25. Map Reduce 26. Data Ethics 27. Go Forth and Do Data Science
600			_aPython (Computer program language) - Database management _946543
942			_2ddc _cLB _k005.7565 _mGRU