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Deep Learning Jan 2025 udemy

26 Logistic Regression 005 Step 2a Data Preprocessing for Logistic Regression Importing and Splitting srt

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Deep-Learning-A-Z-Jan-2025-udemy

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5.0 GB

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359

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2025-06-16 00:53

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F40D359139D1B8CD941ACE3CFDAE5F090612E963

/26 - Logistic Regression/005 Step 2a - Data Preprocessing for Logistic Regression Importing and Splitting.srt

10.2 KB

/26 - Logistic Regression/005 Step 2a - Data Preprocessing for Logistic Regression Importing and Splitting.mp4

21.1 MB

/26 - Logistic Regression/006 Step 2b - Data Preprocessing Feature Scaling for Machine Learning in Python.srt

10.3 KB

/26 - Logistic Regression/006 Step 2b - Data Preprocessing Feature Scaling for Machine Learning in Python.mp4

21.5 MB

/26 - Logistic Regression/003 Step 1a - Machine Learning Classification Logistic Regression in Python.srt

9.3 KB

/26 - Logistic Regression/008 Step 3b - Predicting Purchase Decisions with Logistic Regression in Python.srt

5.7 KB

/26 - Logistic Regression/015 Step 7b - Visualizing Logistic Regression Interpreting Classification Results.srt

6.2 KB

/26 - Logistic Regression/003 Step 1a - Machine Learning Classification Logistic Regression in Python.mp4

20.6 MB

/26 - Logistic Regression/007 Step 3a - Implementing Logistic Regression for Classification with Scikit-Learn.srt

6.8 KB

/26 - Logistic Regression/015 Step 7b - Visualizing Logistic Regression Interpreting Classification Results.mp4

13.5 MB

/26 - Logistic Regression/004 Step 1b - Logistic Regression Analysis Importing Libraries and Splitting Data.srt

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/26 - Logistic Regression/008 Step 3b - Predicting Purchase Decisions with Logistic Regression in Python.mp4

12.6 MB

/26 - Logistic Regression/010 Step 4b - Evaluating Logistic Regression Model Predicted vs Real Outcomes.srt

3.2 KB

/26 - Logistic Regression/014 Step 7a - Visualizing Logistic Regression 2D Plots for Classification Models.srt

9.4 KB

/26 - Logistic Regression/001 Understanding the Logistic Regression Equation A Step-by-Step Guide.srt

8.3 KB

 

Showing first 15 files of 359 total files


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