[DesireCourse.Net] Udemy - Complete Data Science Training with Python for Data Analysis Torrent Download

[DesireCourse.Net] Udemy - Complete Data Science Training with Python for Data Analysis

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Date:

09/28/19 at 8:01am GMT+1

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Unknown

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2

File size:

2.3 GB in 99 files

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This torrent has been verified.

Infohash:

6ba6895d7d716420f653594b54e1e102e8ca79ac

File list

[DesireCourse.Net] Udemy - Complete Data Science Training with Python for Data Analysis
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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