Packt Publishing Deep Dive into Python Machine Learning 71 Logistic Regression Model Implementation mp4

Packt Publishing Deep Dive into Python Machine Learning
71 Logistic Regression Model Implementation mp4

Name	Packt Publishing - Deep Dive into Python Machine Learning	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	2.8 GB
Total Files	191
Hash	8D48EBB15A1AF945BF781071ADB6BE1AA5602953

/71 - Logistic Regression Model Implementation.mp4	49.5 MB
/68 - Logistic Regression.mp4	7.3 MB
/65 - Evaluating Regression Models.mp4	9.6 MB
/64 - Linear Regression Basic Model Approach.mp4	14.7 MB
/115 - Generating Movie Recommendations.mp4	10.7 MB
/72 - K – Nearest Neighbor Classifier Implementation.mp4	40.2 MB
/16 - Using Version Control.mp4	17.6 MB
/141 - Histogram Equalization.mp4	12.0 MB
/173 - Introduction to Backpropagation.mp4	9.8 MB
/175 - Optimizing a Simple Model in Pure Theano.mp4	35.2 MB
/51 - Interfacing with C Code Using Cython.mp4	28.7 MB
/66 - Basic Regression Model Implementation to Predict House Prices.mp4	37.6 MB
/76 - Regression Accuracy and Model Persistence.mp4	18.4 MB
/83 - Building a Logistic Regression Classifier.mp4	21.2 MB
/113 - Computing the Pearson Correlation Score.mp4	8.7 MB
Showing first 15 files of 191 total files