[UdemyCourseDownloader] Introduction to Machine Learning & Deep Learning in Python


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Torrent Hash : E5CD7A86473F94416CFBD436C50A552335331427
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Torrent Size : 1.83 GB



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Torrent File Content (300 files)


[UdemyCourseDownloader] Introduction to Machine Learning & Deep Learning in Python
    17. Convolutional Neural Networks
          8. Convolutional neural networks - illustration.vtt -
70.54 MB

     udemycoursedownloader.com.url -
132 bytes

    01. Introduction
          1. Introduction.mp4 -
3.48 MB

          1. Introduction.vtt -
2.41 KB

          2. Introduction to machine learning.mp4 -
8.05 MB

          2. Introduction to machine learning.vtt -
6.29 KB

    02. Installations
          1. Installing Anaconda.mp4 -
4.32 MB

          1. Installing Anaconda.vtt -
2.28 KB

          2. Installing Spyder.mp4 -
2.8 MB

          2. Installing Spyder.vtt -
1.83 KB

          3. Installing Keras and TensorFlow.mp4 -
5.95 MB

          3. Installing Keras and TensorFlow.vtt -
65.3 MB

    03. Linear Regression
          1. Linear regression introduction.mp4 -
26.43 MB

          1. Linear regression introduction.vtt -
9.38 KB

          2. Linear regression theory - optimization.mp4 -
42.28 MB

          2. Linear regression theory - optimization.vtt -
8.22 KB

          3. Linear regression theory - gradient descent.mp4 -
11.1 MB

          3. Linear regression theory - gradient descent.vtt -
7.86 KB

          4. Linear regression implementation I.mp4 -
16.69 MB

          4. Linear regression implementation I.vtt -
7.45 KB

          5. Linear regression implementation II.mp4 -
8.78 MB

          5. Linear regression implementation II.vtt -
5.4 KB

    04. Logistic Regression
          1. Logistic regression introduction.mp4 -
17.63 MB

          1. Logistic regression introduction.vtt -
13.76 KB

          2. Logistic regression introduction II.mp4 -
6.67 MB

          2. Logistic regression introduction II.vtt -
4.38 KB

          3. Logistic regression example I - sigmoid function.mp4 -
13.04 MB

          3. Logistic regression example I - sigmoid function.vtt -
7.99 KB

          4. Logistic regression example II- credit scoring.mp4 -
21.33 MB

          4. Logistic regression example II- credit scoring.vtt -
8.19 KB

          5. Logistic regression example III - credit scoring.mp4 -
10.87 MB

          5. Logistic regression example III - credit scoring.vtt -
6.38 KB

          6. Cross validation introduction.mp4 -
11.72 MB

          6. Cross validation introduction.vtt -
6.02 KB

          7. Cross validation example.mp4 -
4.15 MB

          7. Cross validation example.vtt -
2.6 KB

    05. K-Nearest Neighbor Classifier
          1. K-nearest neighbor introduction.mp4 -
9.48 MB

          1. K-nearest neighbor introduction.vtt -
6.46 KB

          2. K-nearest neighbor introduction - lazy learning.mp4 -
8.11 MB

          2. K-nearest neighbor introduction - lazy learning.vtt -
4.68 KB

          3. K-nearest neighbor introduction - Euclidean-distance.mp4 -
8.61 MB

          3. K-nearest neighbor introduction - Euclidean-distance.vtt -
6.29 KB

          4. UPDATE bias and variance.html -
333 bytes

          5. K-nearest neighbor implementation I.mp4 -
6.95 MB

          5. K-nearest neighbor implementation I.vtt -
3.3 KB

          6. K-nearest neighbor implementation II.mp4 -
9.96 MB

          6. K-nearest neighbor implementation II.vtt -
6.61 KB

          7. K-nearest neighbor implementation III.mp4 -
7.93 MB

          7. K-nearest neighbor implementation III.vtt -
4.54 KB

    06. Naive Bayes Classifier
          1. Naive Bayes classifier introduction I.mp4 -
17.44 MB

+ Show all torrent content...

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