Packt Publishing - Deep Dive into Python Machine Learning


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Torrent Hash : 8D48EBB15A1AF945BF781071ADB6BE1AA5602953
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Torrent Size : 2.64 GB


Packt Publishing - Deep Dive into Python Machine Learning
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Torrent File Content (191 files)


Packt Publishing - Deep Dive into Python Machine Learning
    Project_Files
          Data Mining with Python- Implementing Classification and Regression.zip -
16.77 KB

          Deep Learning with Python [Video].zip -
590.78 KB

          Mastering Python - Second Edition [Video].zip -
35.83 KB

          Python Machine Learning Solutions [Video].zip -
57.83 MB

     01 - The Course Overview.mp4 -
14.93 MB

     02 - Python Basic Syntax and Block Structure.mp4 -
22.54 MB

     03 - Built-in Data Structures and Comprehensions.mp4 -
17.79 MB

     04 - First-Class Functions and Classes.mp4 -
12.33 MB

     05 - Extensive Standard Library.mp4 -
31.14 MB

     06 - New in Python 3.5.mp4 -
21.01 MB

     07 - Downloading and Installing Python.mp4 -
15.34 MB

     08 - Using the Command-Line and the Interactive Shell.mp4 -
7.1 MB

     09 - Installing Packages with pip.mp4 -
11.04 MB

     10 - Finding Packages in the Python Package Index.mp4 -
21.78 MB

     100 - Compressing an Image Using Vector Quantization.mp4 -
16.33 MB

     101 - Building a Mean Shift Clustering.mp4 -
11.26 MB

     102 - Grouping Data Using Agglomerative Clustering.mp4 -
13.54 MB

     103 - Evaluating the Performance of Clustering Algorithms.mp4 -
12.74 MB

     104 - Automatically Estimating the Number of Clusters Using DBSCAN.mp4 -
14.94 MB

     105 - Finding Patterns in Stock Market Data.mp4 -
11.34 MB

     106 - Building a Customer Segmentation Model.mp4 -
9.78 MB

     107 - Building Function Composition for Data Processing.mp4 -
13.67 MB

     108 - Building Machine Learning Pipelines.mp4 -
15.17 MB

     109 - Finding the Nearest Neighbors.mp4 -
8.05 MB

     11 - Creating an Empty Package.mp4 -
11.59 MB

     110 - Constructing a k-nearest Neighbors Classifier.mp4 -
19.77 MB

     111 - Constructing a k-nearest Neighbors Regressor.mp4 -
9.75 MB

     112 - Computing the Euclidean Distance Score.mp4 -
9.21 MB

     113 - Computing the Pearson Correlation Score.mp4 -
8.32 MB

     114 - Finding Similar Users in a Dataset.mp4 -
6.89 MB

     115 - Generating Movie Recommendations.mp4 -
10.2 MB

     116 - Preprocessing Data Using Tokenization.mp4 -
12.67 MB

     117 - Stemming Text Data.mp4 -
8.77 MB

     118 - Converting Text to Its Base Form Using Lemmatization.mp4 -
8.25 MB

     119 - Dividing Text Using Chunking.mp4 -
7.42 MB

     12 - Adding Modules to the Package.mp4 -
7.99 MB

     120 - Building a Bag-of-Words Model.mp4 -
11.71 MB

     121 - Building a Text Classifier.mp4 -
17.97 MB

     122 - Identifying the Gender.mp4 -
10 MB

     123 - Analyzing the Sentiment of a Sentence.mp4 -
14.39 MB

     124 - Identifying Patterns in Text Using Topic Modelling.mp4 -
19.76 MB

     125 - Reading and Plotting Audio Data.mp4 -
9.35 MB

     126 - Transforming Audio Signals into the Frequency Domain.mp4 -
9.32 MB

     127 - Generating Audio Signals with Custom Parameters.mp4 -
7.64 MB

     128 - Synthesizing Music.mp4 -
9.81 MB

     129 - Extracting Frequency Domain Features.mp4 -
8.13 MB

     13 - Importing One of the Package's Modules from Another.mp4 -
9.29 MB

     130 - Building Hidden Markov Models.mp4 -
9.6 MB

     131 - Building a Speech Recognizer.mp4 -
12.94 MB

     132 - Transforming Data into the Time Series Format.mp4 -
13.23 MB



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