Udemy - The Complete Intro to Machine Learning with Python

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Udemy - The Complete Intro to Machine Learning with Python

Torrent Contents Size: 2.3 GB

Udemy - The Complete Intro to Machine Learning with Python
▼ show more 53 files
1. Distribution and Matrix Plots.mp4
MP4
89.3 MB
1. Distribution and Matrix Plots.srt
SRT
19.4 KB
1. Goals and Types of Machine Learning.mp4
MP4
206.2 MB
1. Goals and Types of Machine Learning.srt
SRT
26.1 KB
1. Intro to Neural Networks.mp4
MP4
10.6 MB
1. Intro to Neural Networks.srt
SRT
2 KB
1. Introduction.mp4
MP4
82.8 MB
1. Introduction.srt
SRT
12.7 KB
1. Linear Regression Theory.mp4
MP4
96.7 MB
1. Linear Regression Theory.srt
SRT
16.4 KB
1. Logistic Regression Theory.mp4
MP4
132.5 MB
1. Logistic Regression Theory.srt
SRT
15.1 KB
1. Numpy Basics.mp4
MP4
59.4 MB
1. Numpy Basics.srt
SRT
11.7 KB
1. Pandas Basics.mp4
MP4
87.3 MB
1. Pandas Basics.srt
SRT
10.9 KB
1. Terminology.mp4
MP4
55.4 MB
1. Terminology.srt
SRT
5.8 KB
1. Variable Types.mp4
MP4
75 MB
1. Variable Types.srt
SRT
14.1 KB
2. Categorical Plots, Regression Plots, and GridsStyle.mp4
MP4
66.4 MB
2. Categorical Plots, Regression Plots, and GridsStyle.srt
SRT
15.1 KB
2. Implementation.mp4
MP4
174.3 MB
2. Implementation.srt
SRT
18.1 KB
2. Lists and Functions.mp4
MP4
73.7 MB
2. Lists and Functions.srt
SRT
15.2 KB
2. Logistic Regression Metrics and Implementation.mp4
MP4
68.4 MB
2. Logistic Regression Metrics and Implementation.srt
SRT
10.6 KB
2. Ordinary Least Squares (OLS).mp4
MP4
89.5 MB
2. Ordinary Least Squares (OLS).srt
SRT
15.5 KB
2. Origins of Neural Networks.mp4
MP4
25.7 MB
2. Origins of Neural Networks.srt
SRT
4 KB
2. Splitting Algorithms.mp4
MP4
100.3 MB
2. Splitting Algorithms.srt
SRT
11 KB
2.1 Logistic Regression Implementation.ipynb
IPYNB
8.5 KB
2.1 Numpy Implementation.ipynb
IPYNB
26.5 KB
2.1 Pandas Implementation.ipynb
IPYNB
25.6 KB
3. Implementation Part 1.mp4
MP4
190.5 MB
3. Implementation Part 1.srt
SRT
36.6 KB
3. Implementation.mp4
MP4
95.6 MB
3. Implementation.srt
SRT
19.3 KB
3. Random Forests.mp4
MP4
22.1 MB
3. Random Forests.srt
SRT
2.5 KB
3. What are neural networks.mp4
MP4
27 MB
3. What are neural networks.srt
SRT
4.6 KB
3.1 Linear Regression Implementation.ipynb
IPYNB
136.6 KB
3.1 Python Implementation.ipynb
IPYNB
19.1 KB
3.1 Seaborn Implementation.ipynb
IPYNB
578.7 KB
4. Activation Functions.mp4
MP4
34.8 MB
4. Activation Functions.srt
SRT
5.6 KB
4. Implementation Part 2.mp4
MP4
50.3 MB
4. Implementation Part 2.srt
SRT
13.3 KB
4. Implementation.mp4
MP4
83.8 MB
4. Implementation.srt
SRT
11.4 KB
4.1 Decision Tree Implementation.ipynb
IPYNB
354.8 KB
4.1 Linear Regression Implementation.ipynb
IPYNB
136.6 KB
5. Gradient Descent.mp4
MP4
54.2 MB
5. Gradient Descent.srt
SRT
7.9 KB
6. Backpropagation.mp4
MP4
89.2 MB
6. Backpropagation.srt
SRT
12.2 KB
7. Implementation.mp4
MP4
35.9 MB
7. Implementation.srt
SRT
6.2 KB
Bonus Resources.txt
TXT
307.2 B
Get Bonus Downloads Here.url
URL
204.8 B

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