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[UdemyCourseDownloader] Introduction To Machine Learning & Deep Learning In Python

TORRENT SUMMARY

	Status:	All the torrents in this section have been verified by our verification system
Category:	Other
Infohash	e5cd7a86473f94416cfbd436c50a552335331427
Size:	1.8 GB in 98 files
Release Date(s):	Torrent Release: 11-07-2019 by user
Swarm:	0 Seeds & 0 Peers
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DESCRIPTION

Description

Download Udemy Paid Courses For Free. Watch Online & Download All the Paid Courses Videos, Books From Udemy, Lynda & More...

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FILE LIST

Filename		Size
	01. Introduction/1. Introduction.mp4	3.5 MB
	01. Introduction/1. Introduction.vtt	2.4 KB
	01. Introduction/2. Introduction to machine learning.mp4	8.1 MB
	01. Introduction/2. Introduction to machine learning.vtt	6.3 KB
	02. Installations/1. Installing Anaconda.mp4	4.3 MB
	02. Installations/1. Installing Anaconda.vtt	2.3 KB
	02. Installations/2. Installing Spyder.mp4	2.8 MB
	02. Installations/2. Installing Spyder.vtt	1.8 KB
	02. Installations/3. Installing Keras and TensorFlow.mp4	6 MB
	02. Installations/3. Installing Keras and TensorFlow.vtt	65.3 MB
	03. Linear Regression/1. Linear regression introduction.mp4	26.4 MB
	03. Linear Regression/1. Linear regression introduction.vtt	9.4 KB
	03. Linear Regression/2. Linear regression theory - optimization.mp4	42.3 MB
	03. Linear Regression/2. Linear regression theory - optimization.vtt	8.2 KB
	03. Linear Regression/3. Linear regression theory - gradient descent.mp4	11.1 MB
	03. Linear Regression/3. Linear regression theory - gradient descent.vtt	7.9 KB
	03. Linear Regression/4. Linear regression implementation I.mp4	16.7 MB
	03. Linear Regression/4. Linear regression implementation I.vtt	7.4 KB
	03. Linear Regression/5. Linear regression implementation II.mp4	8.8 MB
	03. Linear Regression/5. Linear regression implementation II.vtt	5.4 KB
	04. Logistic Regression/1. Logistic regression introduction.mp4	17.6 MB
	04. Logistic Regression/1. Logistic regression introduction.vtt	13.8 KB
	04. Logistic Regression/2. Logistic regression introduction II.mp4	6.7 MB
	04. Logistic Regression/2. Logistic regression introduction II.vtt	4.4 KB
	04. Logistic Regression/3. Logistic regression example I - sigmoid function.mp4	13 MB
	04. Logistic Regression/3. Logistic regression example I - sigmoid function.vtt	8 KB
	04. Logistic Regression/4. Logistic regression example II- credit scoring.mp4	21.3 MB
	04. Logistic Regression/4. Logistic regression example II- credit scoring.vtt	8.2 KB
	04. Logistic Regression/5. Logistic regression example III - credit scoring.mp4	10.9 MB
	04. Logistic Regression/5. Logistic regression example III - credit scoring.vtt	6.4 KB
	04. Logistic Regression/6. Cross validation introduction.mp4	11.7 MB
	04. Logistic Regression/6. Cross validation introduction.vtt	6 KB
	04. Logistic Regression/7. Cross validation example.mp4	4.2 MB
	04. Logistic Regression/7. Cross validation example.vtt	2.6 KB
	05. K-Nearest Neighbor Classifier/1. K-nearest neighbor introduction.mp4	9.5 MB
	05. K-Nearest Neighbor Classifier/1. K-nearest neighbor introduction.vtt	6.5 KB
	05. K-Nearest Neighbor Classifier/2. K-nearest neighbor introduction - lazy learning.mp4	8.1 MB
	05. K-Nearest Neighbor Classifier/2. K-nearest neighbor introduction - lazy learning.vtt	4.7 KB
	05. K-Nearest Neighbor Classifier/3. K-nearest neighbor introduction - Euclidean-distance.mp4	8.6 MB
	05. K-Nearest Neighbor Classifier/3. K-nearest neighbor introduction - Euclidean-distance.vtt	6.3 KB
	05. K-Nearest Neighbor Classifier/4. UPDATE bias and variance.html	333 B
	05. K-Nearest Neighbor Classifier/5. K-nearest neighbor implementation I.mp4	6.9 MB
	05. K-Nearest Neighbor Classifier/5. K-nearest neighbor implementation I.vtt	3.3 KB
	05. K-Nearest Neighbor Classifier/6. K-nearest neighbor implementation II.mp4	10 MB
	05. K-Nearest Neighbor Classifier/6. K-nearest neighbor implementation II.vtt	6.6 KB
	05. K-Nearest Neighbor Classifier/7. K-nearest neighbor implementation III.mp4	7.9 MB
	05. K-Nearest Neighbor Classifier/7. K-nearest neighbor implementation III.vtt	4.5 KB
	06. Naive Bayes Classifier/1. Naive Bayes classifier introduction I.mp4	17.4 MB
	06. Naive Bayes Classifier/1. Naive Bayes classifier introduction I.vtt	9.5 KB
	06. Naive Bayes Classifier/2. Naive Bayes classifier introduction II - illustration.mp4	8.4 MB
	06. Naive Bayes Classifier/2. Naive Bayes classifier introduction II - illustration.vtt	4.8 KB
	06. Naive Bayes Classifier/3. Naive Bayes classifier implementation.mp4	8 MB
	06. Naive Bayes Classifier/3. Naive Bayes classifier implementation.vtt	5 KB
	06. Naive Bayes Classifier/4. ----- TEXT CLASSIFICATION -----.html	193 B
	06. Naive Bayes Classifier/5. Text clustering - basics.mp4	22.1 MB
	06. Naive Bayes Classifier/5. Text clustering - basics.vtt	9.5 KB
	06. Naive Bayes Classifier/6. Text clustering - inverse document frequency (TF-IDF).mp4	10 MB
	06. Naive Bayes Classifier/6. Text clustering - inverse document frequency (TF-IDF).vtt	5.2 KB
	06. Naive Bayes Classifier/7. Naive Bayes example - clustering news.mp4	23.3 MB
	06. Naive Bayes Classifier/7. Naive Bayes example - clustering news.vtt	10.5 KB
	07. Support Vector Machine (SVM)/1. Support vector machine introduction I - linear case.mp4	20.8 MB
	07. Support Vector Machine (SVM)/1. Support vector machine introduction I - linear case.vtt	9.9 KB
	07. Support Vector Machine (SVM)/2. Support vector machine introduction II - non-linear case.mp4	17.2 MB
	07. Support Vector Machine (SVM)/2. Support vector machine introduction II - non-linear case.vtt	8.1 KB
	07. Support Vector Machine (SVM)/3. Support vector machine introduction III - kernels.mp4	9.9 MB
	07. Support Vector Machine (SVM)/3. Support vector machine introduction III - kernels.vtt	5 KB
	07. Support Vector Machine (SVM)/4. Support vector machine example I - simple.mp4	10.5 MB
	07. Support Vector Machine (SVM)/4. Support vector machine example I - simple.vtt	4.5 KB
	07. Support Vector Machine (SVM)/5. Support vector machine example II - iris dataset.mp4	21.7 MB
	07. Support Vector Machine (SVM)/5. Support vector machine example II - iris dataset.vtt	8.5 KB
	07. Support Vector Machine (SVM)/6. Support vector machine example III - digit recognition.mp4	16.4 MB
	07. Support Vector Machine (SVM)/6. Support vector machine example III - digit recognition.vtt	7.4 KB
	08. Decision Trees/1. Decision trees introduction - basics.mp4	11.7 MB
	08. Decision Trees/1. Decision trees introduction - basics.vtt	8.8 KB
	08. Decision Trees/2. Decision trees introduction - entropy.mp4	19.3 MB
	08. Decision Trees/2. Decision trees introduction - entropy.vtt	9.8 KB
	08. Decision Trees/3. Decision trees introduction - information gain.mp4	47 MB
	08. Decision Trees/3. Decision trees introduction - information gain.vtt	8.8 KB
	08. Decision Trees/4. Decision trees introduction - pros and cons.mp4	4.2 MB
	08. Decision Trees/4. Decision trees introduction - pros and cons.vtt	2.9 KB
	08. Decision Trees/5. Decision trees implementation.mp4	13.6 MB
	08. Decision Trees/5. Decision trees implementation.vtt	8.4 KB
	08. Decision Trees/6. Decision trees implementation II.mp4	6.7 MB
	08. Decision Trees/6. Decision trees implementation II.vtt	6.7 MB
	08. Decision Trees/7. The Gini-index approach.mp4	18.8 MB
	08. Decision Trees/7. The Gini-index approach.vtt	10.1 KB
	09. Random Forest Classifier/1. Pruning introduction.mp4	9.8 MB
	09. Random Forest Classifier/1. Pruning introduction.vtt	7.4 KB
	09. Random Forest Classifier/2. Bagging introduction.mp4	11.7 MB
	09. Random Forest Classifier/2. Bagging introduction.vtt	9.1 KB
	09. Random Forest Classifier/3. Random forest classifier introduction.mp4	8.7 MB
	09. Random Forest Classifier/3. Random forest classifier introduction.vtt	6.3 KB
	09. Random Forest Classifier/4. Random forests example I - iris dataset.mp4	11.4 MB
	09. Random Forest Classifier/4. Random forests example I - iris dataset.vtt	5.2 KB
	09. Random Forest Classifier/5. Random forests example II - credit scoring.mp4	4.2 MB
	09. Random Forest Classifier/5. Random forests example II - credit scoring.vtt	1.9 KB
	09. Random Forest Classifier/6. Random forests example III - parameter tuning.mp4	9.2 MB
	17. Convolutional Neural Networks/8. Convolutional neural networks - illustration.vtt	70.5 MB

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