Udemy - Projects and Case Studies on Machine Learning with Python

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[ DevCourseWeb.com ] Udemy - Projects and Case Studies on Machine Learning with Python
  • Get Bonus Downloads Here.url (0.2 KB)
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    • 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)

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



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Udemy - Projects and Case Studies on Machine Learning with Python

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1.5 GB
seeders:11
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Udemy - Projects and Case Studies on Machine Learning with Python

Torrent hash: 64B0B7ADA1834603CF0F013CDF36B3A10D71845C