Download Udemy - Projects and Case Studies on Machine Learning with Python torrent

Udemy - Projects and Case Studies on Machine Learning with Python

Torrent:	Udemy - Projects and Case Studies on Machine Learning with Python
Description:	Projects and Case Studies on Machine Learning with Python https://DevCourseWeb.com Published 1/2024 Created by EDUCBA Bridging the Gap MP4 \| Video: h264, 1280x720 \| Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning \| Language: English \| Duration: 41 Lectures ( 4h 37m ) \| Size: 1.45 GB Programming In Python For Data Analytics And Machine Learning. Learn Statistical Analysis, Data Mining And Visualization What you'll learn: You will learn how to use data science and machine learning with Python. You will be able to analyze your own data sets and gain insights through data science. Master critical data science skills. Replicate real-world situations and data reports. Requirements: No prior knowledge of machine learning required Basic knowledge of Python
Downloads:	10
Category:	Other /Tutorials
Size:	1.5 GB
Show Files »	[ DevCourseWeb.com ] Udemy - Projects and Case Studies on Machine Learning with Python Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 1. Introduction to Machine Learning Case Studies.mp4 (11.3 MB) 10. Introduction to k-Means Clustering.mp4 (13.0 MB) 11. Creating Scattered Plots.mp4 (33.8 MB) 12. Euclidean Distance Calculator.mp4 (56.9 MB) 13. Printing Centroid Values.mp4 (22.6 MB) 14. Analysing Face Detection.mp4 (9.9 MB) 15. Problem Statement.mp4 (22.4 MB) 16. Creating Model of time Series.mp4 (56.8 MB) 17. Training and Testing Data.mp4 (81.9 MB) 18. Analysing Output.mp4 (66.3 MB) 19. Time Series Bitcoin Data.mp4 (69.0 MB) 2. Environmental SetUp.mp4 (40.7 MB) 20. Classification.mp4 (22.1 MB) 21. Fruit type Distribution.mp4 (51.9 MB) 22. Create Training and Test Sets.mp4 (16.4 MB) 23. Building Logistic Regression.mp4 (35.6 MB) 24. Building Decision Tree.mp4 (38.9 MB) 25. K-Nearest Neighbors.mp4 (35.8 MB) 26. Linear Discriminant Analysis.mp4 (35.6 MB) 27. Gaussian Naive Bayes.mp4 (27.0 MB) 28. Plot the Decision Boundary.mp4 (38.8 MB) 29. Plot the Decision Boundary Continue.mp4 (37.3 MB) 3. Problem Statement for Linear Regression.mp4 (29.4 MB) 30. Defining the Problem Statement.mp4 (27.1 MB) 31. Data Preparation.mp4 (33.3 MB) 32. Clean up.mp4 (40.3 MB) 33. Payment Delays.mp4 (35.3 MB) 34. Standing Credit.mp4 (22.2 MB) 35. Payments in the Previous Months.mp4 (34.9 MB) 36. Explore Defaulting.mp4 (41.6 MB) 37. Absolute Statistics.mp4 (47.5 MB) 38. Starting with Feature Engineering.mp4 (28.4 MB) 39. From Variables to Train.mp4 (25.1 MB) 4. Starting with Normal linear Regression.mp4 (50.9 MB) 40. Visualization-Confusion Matrices and AUC Curves.mp4 (48.1 MB) 41. Creating SNS Plot.mp4 (9.9 MB) 5. Polynomial Regression.mp4 (53.3 MB) 6. Backward Elimination.mp4 (38.9 MB) 7. Robust Regression.mp4 (41.8 MB) 8. Logistic Regression.mp4 (41.5 MB) 9. Logistic Regression Continue.mp4 (22.3 MB) Bonus Resources.txt (0.4 KB) files
Added:	2024-02-09 20:04:39
Language:	English
Peers:	Seeders : 11 , Leechers : 11
Tags:	Development Data Science Udemy
Release name:	Udemy - Projects and Case Studies on Machine Learning with Python
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