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U09M08 Regularization.mp4 285.7 MB
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U06M04 How image recognition relates to a neural network.mp4 99.8 MB
U09M01 Improving performance in machine learning routines.mp4 94.2 MB
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U05M01 What are neural networks, and how do they work.mp4 72.0 MB
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U07M08 Preparing data_ Features engineering.mp4 64.4 MB
U07M11 Geometry of the data space and the curse of dimensionality.mp4 61.5 MB
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【影视】 [GigaCourse.Com] Udemy - 2021 Python for Machine Learning & Data Science Masterclass

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23 Hierarchical Clustering/004 Hierarchical Clustering - Coding Part Two - Scikit-Learn.mp4 218.8 MB
05 Pandas/028 Pandas Project Exercise Solutions.mp4 181.0 MB
13 Logistic Regression/016 Logistic Regression Project Exercise - Solutions.mp4 152.6 MB
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17 Random Forests/007 Coding Classification with Random Forest Classifier - Part Two.mp4 136.7 MB
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24 DBSCAN - Density-based spatial clustering of applications with noise/007 DBSCAN - Outlier Project Exercise Solutions.mp4 134.2 MB
11 Feature Engineering and Data Preparation/003 Dealing with Outliers.mp4 126.5 MB
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16 Tree Based Methods_ Decision Tree Learning/008 Coding Decision Trees - Part Two -Creating the Model.mp4 121.5 MB
23 Hierarchical Clustering/003 Hierarchical Clustering - Coding Part One - Data and Visualization.mp4 120.4 MB
07 Seaborn Data Visualizations/002 Scatterplots with Seaborn.mp4 116.5 MB
24 DBSCAN - Density-based spatial clustering of applications with noise/002 DBSCAN - Theory and Intuition.mp4 114.4 MB
20 Naive Bayes Classification and Natural Language Processing (Supervised Learning)/010 Text Classification Project Exercise Solutions.mp4 113.3 MB
22 K-Means Clustering/011 K-Means Clustering Exercise Solution - Part Two.mp4 113.1 MB
08 Data Analysis and Visualization Capstone Project Exercise/003 Capstone Project Solutions - Part Two.mp4 111.4 MB
06 Matplotlib/011 Matplotlib Exercise Questions - Solutions.mp4 111.0 MB
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[TutsNode.com] - Unsupervised Machine Learning with Python/7. Gaussian Mixture Model Clustering/6. Section 7.4 Gaussian Mixture Model Code Walkthrough.mp4 294.2 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/4. Hierarchical Clustering/4. Section 4.3 Hierarchical Clustering Code Walkthrough.mp4 247.4 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/6. K Means Clustering/4. Section 6.3 K Means Code Walkthrough.mp4 207.9 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/2. Python Demos/2. Section 2.1 Numpy Basic Demos.mp4 195.4 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/10. Case Studies/6. Section 10.4 Clustering for BBC Text Dataset.mp4 195.0 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/10. Case Studies/2. Section 10.2 Clustering for Iris Flower Dataset.mp4 186.5 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/5. DBSCAN Clustering/4. Section 5.3 DBSCAN Code Walkthrough.mp4 183.2 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/2. Python Demos/8. Section 2.4 Matplotlib Cluster Plot and Animation Demo.mp4 169.8 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/9. Dimension Reduction/7. Section 9.4 PCA Applied to MNIST Digits Dataset.mp4 164.3 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/8. Comparison of Clustering Algorithms/1. Section 8.1 Metrics for Measuring Quality of Clustering.mp4 153.4 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/9. Dimension Reduction/2. Section 9.1 Principal Component Analysis Algorithm.mp4 148.1 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/10. Case Studies/4. Section 10.3 Clustering for MNIST Digits Dataset.mp4 131.8 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/7. Gaussian Mixture Model Clustering/1. Section 7.1 Normal Distribution Probability Density Function.mp4 130.6 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/8. Comparison of Clustering Algorithms/3. Section 8.2 Comparison of Algorithms.mp4 120.3 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/10. Case Studies/1. Section 10.1 Clustering Quality Metrics.mp4 118.4 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/3. Review of Mathematical Concepts/8. Section 3.4 Singular Value Decomposition.mp4 108.8 MB
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~Get Your Files Here !/02 Getting Started/003 Split a dataset into k Folds.mp4 57.1 MB
~Get Your Files Here !/03 Node Value and Subsample/006 Evaluate Algorithm.mp4 55.1 MB
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~Get Your Files Here !/03 Node Value and Subsample/005 Test the Random Forest Algorithm on Sonar Dataset.mp4 27.2 MB
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~Get Your Files Here !/03 Regression Modeling/008 CASE STUDY_ Non-Linear Regression.mp4 83.9 MB
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