Course Content
Udemy – Python for Data Science and Machine Learning Bootcamp
0/27
01. Course Introduction
04:10
02. Environment Set-Up
11:15
03. Jupyter Overview
23:40
04. Python Crash Course
01:24:17
05. Python for Data Analysis – NumPy
01:03:00
06. Python for Data Analysis – Pandas
01:42:42
07. Python for Data Analysis – Pandas Exercises
34:46
08. Python for Data Visualization – Matplotlib
01:00:13
09. Python for Data Visualization – Seaborn
01:21:59
10. Python for Data Visualization – Pandas Built-in Data Visualization
23:47
11. Python for Data Visualization – Plotly and Cufflinks
22:02
12. Python for Data Visualization – Geographical Plotting
40:32
13. Data Capstone Project
01:18:27
14. Introduction to Machine Learning
40:34
15. Linear Regression
51:11
16. Cross Validation and Bias-Variance Trade-Off
06:26
17. Logistic Regression
01:07:31
18. K Nearest Neighbors
40:45
19. Decision Trees and Random Forests
45:02
20. Support Vector Machines
35:00
21. K Means Clustering
37:23
22. Principal Component Analysis
20:26
23. Recommender Systems
31:12
24. Natural Language Processing
01:18:58
25. Neural Nets and Deep Learning
05:01:55
26. Big Data and Spark with Python
01:40:56
27. BONUS SECTION THANK YOU!
Udemy – Python for Data Science and Machine Learning Bootcamp

00:00 – 1. Python Environment Setup

Exercise Files
Exercise Files.zip
Size: 52.40 MB
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