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[Tutorialsplanet.NET] Udemy - Practical Machine Learning by Example in Python
magnet:?xt=urn:btih:95d11bf1715ebcbdabf34eb9a5b871202a26dd8f&dn=[Tutorialsplanet.NET] Udemy - Practical Machine Learning by Example in Python
磁力链接详情
Hash值:
95d11bf1715ebcbdabf34eb9a5b871202a26dd8f
点击数:
211
文件大小:
2.71 GB
文件数量:
101
创建日期:
2021-8-23 10:42
最后访问:
2024-5-14 21:08
访问标签:
Tutorialsplanet
NET
Udemy
-
Practical
Machine
Learning
by
Example
in
Python
文件列表详情
1. Course Structure and Development Environment/1. Course Structure and Development Environment.mp4 31.37 MB
1. Course Structure and Development Environment/2. Course Quick Tips.mp4 32.08 MB
1. Course Structure and Development Environment/3. Introduction to Jupyter Notebook.mp4 16.92 MB
1. Course Structure and Development Environment/4. Jupyter notebook Text Cells.mp4 27.07 MB
1. Course Structure and Development Environment/5. Jupyter notebook Code Cells.mp4 15.03 MB
1. Course Structure and Development Environment/6. Jupyter notebook Math Markup and Magic Commands.mp4 23.35 MB
1. Course Structure and Development Environment/8. Sharing Colab Notebooks.mp4 35.7 MB
1. Course Structure and Development Environment/9. Artificial Intelligence, Machine Learning, and Deep Learning.mp4 25.15 MB
10. Example Fraud detection/1. The problem.mp4 22.34 MB
10. Example Fraud detection/11. Common questions.mp4 28.84 MB
10. Example Fraud detection/2. Data analysis.mp4 41.75 MB
10. Example Fraud detection/4. Unsupervised learning.mp4 28.85 MB
10. Example Fraud detection/5. Data preparation.mp4 16.86 MB
10. Example Fraud detection/6. Model definition.mp4 21.42 MB
10. Example Fraud detection/7. Model training.mp4 25.11 MB
10. Example Fraud detection/9. Making predictions.mp4 49.37 MB
11. Next steps/1. Next steps.mp4 11.59 MB
11. Next steps/2. Thank you.mp4 3.07 MB
2. Python Quick Start/1. About this section.mp4 7.44 MB
2. Python Quick Start/10. Dictionaries.mp4 32.06 MB
2. Python Quick Start/11. Defining functions.mp4 34.67 MB
2. Python Quick Start/12. Classes.mp4 62.46 MB
2. Python Quick Start/13. File IO and Modules.mp4 33.75 MB
2. Python Quick Start/15. Prompting for passwords.mp4 7.09 MB
2. Python Quick Start/2. Basic Syntax.mp4 35.16 MB
2. Python Quick Start/3. String formatting.mp4 52.36 MB
2. Python Quick Start/4. Literal string interpolation.mp4 15.79 MB
2. Python Quick Start/6. Type conversion.mp4 19.6 MB
2. Python Quick Start/7. Flow control.mp4 23.5 MB
2. Python Quick Start/8. Lists.mp4 22.36 MB
3. Example Logistic Regression/1. The problem.mp4 27.97 MB
3. Example Logistic Regression/10. Backpropagation.mp4 23.91 MB
3. Example Logistic Regression/11. Model training.mp4 29.92 MB
3. Example Logistic Regression/12. Making predictions.mp4 40.33 MB
3. Example Logistic Regression/15. Test vs. train accuracy.mp4 18.97 MB
3. Example Logistic Regression/16. Speeding up training.mp4 18.1 MB
3. Example Logistic Regression/17. Improving the model.mp4 27.09 MB
3. Example Logistic Regression/2. Machine Learning Development Process.mp4 14.03 MB
3. Example Logistic Regression/3. Data analysis.mp4 58.98 MB
3. Example Logistic Regression/5. The model.mp4 22.19 MB
3. Example Logistic Regression/6. The forward function.mp4 37.85 MB
3. Example Logistic Regression/7. Loss and cost functions.mp4 19.82 MB
3. Example Logistic Regression/8. Gradient descent.mp4 46.27 MB
4. Foundations NumPy/1. What is NumPy and why it is needed.mp4 8.12 MB
4. Foundations NumPy/10. Visualizing data.mp4 33.72 MB
4. Foundations NumPy/11. Images.mp4 31.8 MB
4. Foundations NumPy/13. Reshaping data.mp4 11.15 MB
4. Foundations NumPy/2. Creating data with NumPy.mp4 25 MB
4. Foundations NumPy/3. Basic operations.mp4 14.7 MB
4. Foundations NumPy/5. Introduction to Linear Regression.mp4 52.3 MB
4. Foundations NumPy/6. Linear Regression Example.mp4 64.63 MB
4. Foundations NumPy/8. More Complex Models.mp4 13.51 MB
4. Foundations NumPy/9. Statistics and linear algebra.mp4 16.96 MB
5. Foundations Tensorflow/1. About this section.mp4 18.09 MB
5. Foundations Tensorflow/10. Prediction example.mp4 6.78 MB
5. Foundations Tensorflow/11. Saving and restoring models.mp4 15.58 MB
5. Foundations Tensorflow/12. The Three Body Problem.mp4 23.47 MB
5. Foundations Tensorflow/2. Model example.mp4 28.95 MB
5. Foundations Tensorflow/3. Model layers.mp4 13.2 MB
5. Foundations Tensorflow/4. Activation functions.mp4 19.33 MB
5. Foundations Tensorflow/5. Training example.mp4 23.54 MB
5. Foundations Tensorflow/7. Loss functions.mp4 19.2 MB
5. Foundations Tensorflow/8. Optimizers.mp4 16.4 MB
6. Example Image recognition/1. The problem.mp4 19.42 MB
6. Example Image recognition/10. Making predictions.mp4 12.29 MB
6. Example Image recognition/11. Error analysis.mp4 15.42 MB
6. Example Image recognition/13. Hyperparameter tuning.mp4 22.44 MB
6. Example Image recognition/14. Hyperparameter tuning example.mp4 52.48 MB
6. Example Image recognition/16. Common questions.mp4 27.85 MB
6. Example Image recognition/2. Data analysis.mp4 38.32 MB
6. Example Image recognition/4. Model selection.mp4 22.78 MB
6. Example Image recognition/5. Data preparation.mp4 27 MB
6. Example Image recognition/6. CNN Model Layers.mp4 22.97 MB
6. Example Image recognition/7. Model definition.mp4 31.7 MB
6. Example Image recognition/8. Model training.mp4 50.24 MB
7. Foundations Pandas/1. What is Pandas and why is it useful.mp4 8.92 MB
7. Foundations Pandas/2. Loading and inspecting data example.mp4 58.99 MB
7. Foundations Pandas/3. Indexing and selecting data example.mp4 34.96 MB
7. Foundations Pandas/5. Sorting and transforming data example.mp4 39.83 MB
7. Foundations Pandas/6. Aggregations example.mp4 33.94 MB
7. Foundations Pandas/7. Visualizing data.mp4 35.32 MB
8. Example Recommendations/1. The problem.mp4 17.06 MB
8. Example Recommendations/11. Predictions.mp4 5.7 MB
8. Example Recommendations/12. Making predictions.mp4 29.53 MB
8. Example Recommendations/13. Error analysis.mp4 18.61 MB
8. Example Recommendations/15. Common questions.mp4 19.57 MB
8. Example Recommendations/2. Data analysis.mp4 29.05 MB
8. Example Recommendations/4. Model selection.mp4 26.96 MB
8. Example Recommendations/5. Data preparation.mp4 36.17 MB
8. Example Recommendations/7. Embedding layers.mp4 17.17 MB
8. Example Recommendations/8. Model definition.mp4 42.25 MB
8. Example Recommendations/9. Model training.mp4 29.34 MB
9. Example Sentiment Analysis/1. The Problem.mp4 13.13 MB
9. Example Sentiment Analysis/10. Transfer Learning with BERT.mp4 23.75 MB
9. Example Sentiment Analysis/11. Transfer Learning Example.mp4 57.83 MB
9. Example Sentiment Analysis/12. Fine Tuning and Prediction.mp4 39.54 MB
9. Example Sentiment Analysis/2. Data Analysis.mp4 30.54 MB
9. Example Sentiment Analysis/4. Supervised Learning.mp4 27.63 MB
9. Example Sentiment Analysis/5. Data Preparation.mp4 44.37 MB
9. Example Sentiment Analysis/7. Model Definition.mp4 29.01 MB
9. Example Sentiment Analysis/8. Model Training.mp4 34.77 MB
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