Machine Learning with Python Logistic Regression Introduction Using GitHub Codespaces with this course srt | 668D0E57BE129CBEB72FC3AA626D34B769B535B0

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Machine Learning with Python Logistic Regression Introduction Using GitHub Codespaces with this course srt

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Total Size	2.3 GB
Total Files	437
Last Seen	2025-04-05 00:00
Hash	668D0E57BE129CBEB72FC3AA626D34B769B535B0

/Machine Learning with Python Logistic Regression/0 - Introduction/4. Using GitHub Codespaces with this course.srt	10.8 KB
/Machine Learning with Python Logistic Regression/0 - Introduction/4. Using GitHub Codespaces with this course.mp4	22.6 MB
/Machine Learning with Python Association Rules/0 - Introduction/4. Using GitHub Codespaces with this course.srt	9.7 KB
/Machine Learning with Python Association Rules/0 - Introduction/4. Using GitHub Codespaces with this course.mp4	22.6 MB
/Machine Learning with Python Logistic Regression/0 - Introduction/3. Using the exercise files.srt	2.2 KB
/Machine Learning with Python Logistic Regression/0 - Introduction/3. Using the exercise files.mp4	4.6 MB
/Machine Learning with Python Logistic Regression/0 - Introduction/1. Classifying data with logistic regression.srt	1.8 KB
/Machine Learning with Python Logistic Regression/0 - Introduction/2. What you should know.srt	1.9 KB
/Machine Learning with Python Logistic Regression/0 - Introduction/2. What you should know.mp4	2.4 MB
/Machine Learning with Python Logistic Regression/0 - Introduction/1. Classifying data with logistic regression.mp4	6.6 MB
/Machine Learning with Python Association Rules/0 - Introduction/3. Using the exercise files.srt	2.2 KB
/Machine Learning with Python Logistic Regression/1 - Regression/1. What is regression.srt	5.4 KB
/Machine Learning with Python k-Means Clustering/0 - Introduction/4. Using the exercise files.srt	2.7 KB
/Machine Learning with Python Logistic Regression/1 - Regression/2. The anatomy of a regression model.srt	6.4 KB
/Machine Learning with Python Logistic Regression/1 - Regression/3. Common types of regression.srt	9.0 KB
Showing first 15 files of 437 total files

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