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TORRENT DETAILS

[DesireCourse.Net] Udemy - Complete Data Science Training With Python For Data Analysis

TORRENT SUMMARY

	Status:	All the torrents in this section have been verified by our verification system
Category:	Other
Infohash	6ba6895d7d716420f653594b54e1e102e8ca79ac
Size:	2.3 GB in 99 files
Release Date(s):	Torrent Release: 28-09-2019 by user
Swarm:	0 Seeds & 0 Peers
Vote:	No votes yet.

DESCRIPTION

Complete Data Science Training with Python for Data Analysis

Complete Guide to Practical Data Science with Python: Learn Statistics, Visualization, Machine Learning & More

For More Courses Visit: https://desirecourse.net

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FILE LIST

Filename		Size
	1. Introduction to the Data Science in Python Bootcamp/1. What is Data Science.mp4	17.4 MB
	1. Introduction to the Data Science in Python Bootcamp/1. What is Data Science.vtt	4 KB
	1. Introduction to the Data Science in Python Bootcamp/2. Introduction to the Course Instructor.m4v	55.6 MB
	1. Introduction to the Data Science in Python Bootcamp/2. Introduction to the Course Instructor.vtt	13.5 KB
	1. Introduction to the Data Science in Python Bootcamp/3. Data For the Course.html	98 B
	1. Introduction to the Data Science in Python Bootcamp/3.1 scriptsLecture.zip.zip	308 MB
	1. Introduction to the Data Science in Python Bootcamp/4. Introduction to the Python Data Science Tool.mp4	25 MB
	1. Introduction to the Data Science in Python Bootcamp/4. Introduction to the Python Data Science Tool.vtt	10.1 KB
	1. Introduction to the Data Science in Python Bootcamp/5. For Mac Users.mp4	10.2 MB
	1. Introduction to the Data Science in Python Bootcamp/5. For Mac Users.vtt	3.9 KB
	1. Introduction to the Data Science in Python Bootcamp/6. Introduction to the Python Data Science Environment.mp4	40.3 MB
	1. Introduction to the Data Science in Python Bootcamp/6. Introduction to the Python Data Science Environment.vtt	17.2 KB
	1. Introduction to the Data Science in Python Bootcamp/7. Some Miscellaneous IPython Usage Facts.mp4	12 MB
	1. Introduction to the Data Science in Python Bootcamp/7. Some Miscellaneous IPython Usage Facts.vtt	4.5 KB
	1. Introduction to the Data Science in Python Bootcamp/8. Online iPython Interpreter.mp4	7.7 MB
	1. Introduction to the Data Science in Python Bootcamp/8. Online iPython Interpreter.vtt	3.4 KB
	1. Introduction to the Data Science in Python Bootcamp/9. Conclusion to Section 1.mp4	6.5 MB
	1. Introduction to the Data Science in Python Bootcamp/9. Conclusion to Section 1.vtt	3.1 KB
	10. Unsupervised Learning in Python/1. Unsupervised Classification- Some Basic Ideas.mp4	6.2 MB
	10. Unsupervised Learning in Python/1. Unsupervised Classification- Some Basic Ideas.vtt	1.8 KB
	10. Unsupervised Learning in Python/10. Principal Component Analysis (PCA)-Practical Implementation.mp4	9.1 MB
	10. Unsupervised Learning in Python/10. Principal Component Analysis (PCA)-Practical Implementation.vtt	4.2 KB
	10. Unsupervised Learning in Python/11. Conclusions to Section 10.mp4	5.5 MB
	10. Unsupervised Learning in Python/11. Conclusions to Section 10.vtt	2.5 KB
	10. Unsupervised Learning in Python/2. KMeans-theory.mp4	5.1 MB
	10. Unsupervised Learning in Python/2. KMeans-theory.vtt	2.5 KB
	10. Unsupervised Learning in Python/3. KMeans-implementation on the iris data.mp4	19.5 MB
	10. Unsupervised Learning in Python/3. KMeans-implementation on the iris data.vtt	7.6 KB
	10. Unsupervised Learning in Python/4. Quantifying KMeans Clustering Performance.mp4	9.6 MB
	10. Unsupervised Learning in Python/4. Quantifying KMeans Clustering Performance.vtt	4.4 KB
	10. Unsupervised Learning in Python/5. KMeans Clustering with Real Data.mp4	12.1 MB
	10. Unsupervised Learning in Python/5. KMeans Clustering with Real Data.vtt	4.5 KB
	10. Unsupervised Learning in Python/6. How Do We Select the Number of Clusters.mp4	19 MB
	10. Unsupervised Learning in Python/6. How Do We Select the Number of Clusters.vtt	4.2 KB
	10. Unsupervised Learning in Python/7. Hierarchical Clustering-theory.mp4	10.2 MB
	10. Unsupervised Learning in Python/7. Hierarchical Clustering-theory.vtt	5 KB
	10. Unsupervised Learning in Python/8. Hierarchical Clustering-practical.mp4	29.4 MB
	10. Unsupervised Learning in Python/8. Hierarchical Clustering-practical.vtt	9.5 KB
	10. Unsupervised Learning in Python/9. Principal Component Analysis (PCA)-Theory.mp4	5.9 MB
	10. Unsupervised Learning in Python/9. Principal Component Analysis (PCA)-Theory.vtt	3 KB
	11. Supervised Learning/1. What is This Section About.mp4	24.9 MB
	11. Supervised Learning/1. What is This Section About.vtt	11.5 KB
	11. Supervised Learning/10. knn-Classification.mp4	18.2 MB
	11. Supervised Learning/10. knn-Classification.vtt	8 KB
	11. Supervised Learning/11. knn-Regression.mp4	8.4 MB
	11. Supervised Learning/11. knn-Regression.vtt	4 KB
	11. Supervised Learning/12. Gradient Boosting-classification.mp4	15 MB
	11. Supervised Learning/12. Gradient Boosting-classification.vtt	6 KB
	11. Supervised Learning/13. Gradient Boosting-regression.mp4	10.9 MB
	11. Supervised Learning/13. Gradient Boosting-regression.vtt	3.7 KB
	11. Supervised Learning/14. Voting Classifier.mp4	9.5 MB
	11. Supervised Learning/14. Voting Classifier.vtt	3.8 KB
	11. Supervised Learning/15. Conclusions to Section 11.mp4	7.2 MB
	11. Supervised Learning/15. Conclusions to Section 11.vtt	2.9 KB
	11. Supervised Learning/16. Section 11 Quiz.html	163 B
	11. Supervised Learning/2. Data Preparation for Supervised Learning.mp4	28.3 MB
	11. Supervised Learning/2. Data Preparation for Supervised Learning.vtt	10.1 KB
	11. Supervised Learning/3. Pointers on Evaluating the Accuracy of Classification and Regression Modelling.mp4	24 MB
	11. Supervised Learning/3. Pointers on Evaluating the Accuracy of Classification and Regression Modelling.vtt	10.5 KB
	11. Supervised Learning/4. Using Logistic Regression as a Classification Model.mp4	20.6 MB
	11. Supervised Learning/4. Using Logistic Regression as a Classification Model.vtt	8.7 KB
	11. Supervised Learning/5. RF-Classification.mp4	28.5 MB
	11. Supervised Learning/5. RF-Classification.vtt	12.2 KB
	11. Supervised Learning/6. RF-Regression.mp4	23.6 MB
	11. Supervised Learning/6. RF-Regression.vtt	9.7 KB
	11. Supervised Learning/7. SVM- Linear Classification.mp4	7.4 MB
	11. Supervised Learning/7. SVM- Linear Classification.vtt	3.2 KB
	11. Supervised Learning/8. SVM- Non Linear Classification.mp4	5.1 MB
	11. Supervised Learning/8. SVM- Non Linear Classification.vtt	2.3 KB
	11. Supervised Learning/9. Support Vector Regression.mp4	10.2 MB
	11. Supervised Learning/9. Support Vector Regression.vtt	4.3 KB
	12. Artificial Neural Networks (ANN) and Deep Learning (DL)/1. Theory Behind ANN and DNN.mp4	22.6 MB
	12. Artificial Neural Networks (ANN) and Deep Learning (DL)/1. Theory Behind ANN and DNN.vtt	9.9 KB
	12. Artificial Neural Networks (ANN) and Deep Learning (DL)/10. Specify the Activation Function.mp4	6.2 MB
	12. Artificial Neural Networks (ANN) and Deep Learning (DL)/10. Specify the Activation Function.vtt	2.2 KB
	12. Artificial Neural Networks (ANN) and Deep Learning (DL)/11. H2O Deep Learning For Predictions.mp4	12 MB
	12. Artificial Neural Networks (ANN) and Deep Learning (DL)/11. H2O Deep Learning For Predictions.vtt	5.2 KB
	12. Artificial Neural Networks (ANN) and Deep Learning (DL)/12. Conclusions to Section 12.mp4	5.2 MB
	12. Artificial Neural Networks (ANN) and Deep Learning (DL)/12. Conclusions to Section 12.vtt	2.1 KB
	12. Artificial Neural Networks (ANN) and Deep Learning (DL)/13. Section 12 Quiz.html	163 B
	12. Artificial Neural Networks (ANN) and Deep Learning (DL)/2. Perceptrons for Binary Classification.mp4	10 MB
	12. Artificial Neural Networks (ANN) and Deep Learning (DL)/2. Perceptrons for Binary Classification.vtt	4.7 KB
	12. Artificial Neural Networks (ANN) and Deep Learning (DL)/3. Getting Started with ANN-binary classification.mp4	8.5 MB
	12. Artificial Neural Networks (ANN) and Deep Learning (DL)/3. Getting Started with ANN-binary classification.vtt	3.5 KB
	12. Artificial Neural Networks (ANN) and Deep Learning (DL)/4. Multi-label classification with MLP.mp4	13.5 MB
	12. Artificial Neural Networks (ANN) and Deep Learning (DL)/4. Multi-label classification with MLP.vtt	4.8 KB
	12. Artificial Neural Networks (ANN) and Deep Learning (DL)/5. Regression with MLP.mp4	9 MB
	12. Artificial Neural Networks (ANN) and Deep Learning (DL)/5. Regression with MLP.vtt	3.5 KB
	12. Artificial Neural Networks (ANN) and Deep Learning (DL)/6. MLP with PCA on a Large Dataset.mp4	19.2 MB
	12. Artificial Neural Networks (ANN) and Deep Learning (DL)/6. MLP with PCA on a Large Dataset.vtt	7.6 KB
	12. Artificial Neural Networks (ANN) and Deep Learning (DL)/7. Start With Deep Neural Network (DNN).html	229 B
	12. Artificial Neural Networks (ANN) and Deep Learning (DL)/8. Start with H20.mp4	12.1 MB
	12. Artificial Neural Networks (ANN) and Deep Learning (DL)/8. Start with H20.vtt	4.3 KB
	12. Artificial Neural Networks (ANN) and Deep Learning (DL)/9. Default H2O Deep Learning Algorithm.mp4	8.2 MB
	12. Artificial Neural Networks (ANN) and Deep Learning (DL)/9. Default H2O Deep Learning Algorithm.vtt	3.4 KB
	13. Miscellaneous Lectures Information/1. Data For This Section.html	137 B
	13. Miscellaneous Lectures Information/2. Read in Data from Online CSV.mp4	6.7 MB
	13. Miscellaneous Lectures Information/2. Read in Data from Online CSV.vtt	3.9 KB
	13. Miscellaneous Lectures Information/3. Read Data from a Database.mp4	12.3 MB

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