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[GigaCourse.Com] Udemy - Machine Learning & Deep Learning in Python & R

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Description
Udemy - Machine Learning & Deep Learning in Python & R

Covers Regression, Decision Trees, SVM, Neural Networks, CNN, Time Series Forecasting and more using both Python & R

Created by Start-Tech Academy
Last updated 4/2021
English
English [Auto]

For More Udemy Courses Visit: https://gigacourse.com
For More Courses Visit: https://Courseclub.me

File list
  • [GigaCourse.Com] Udemy - Machine Learning & Deep Learning in Python & R
  • 1. Introduction/1. Introduction.mp4 29.4 MB
  • 1. Introduction/1. Introduction.srt 4.5 KB
  • 1. Introduction/2. Course Resources.html 370 B
  • 10. Logistic Regression/1. Logistic Regression.mp4 32.9 MB
  • 10. Logistic Regression/1. Logistic Regression.srt 8.6 KB
  • 10. Logistic Regression/10. Evaluating performance of model.mp4 35.2 MB
  • 10. Logistic Regression/10. Evaluating performance of model.srt 9.4 KB
  • 10. Logistic Regression/11. Evaluating model performance in Python.mp4 9 MB
  • 10. Logistic Regression/11. Evaluating model performance in Python.srt 2.7 KB
  • 10. Logistic Regression/12. Predicting probabilities, assigning classes and making Confusion Matrix in R.mp4 55.7 MB
  • 10. Logistic Regression/12. Predicting probabilities, assigning classes and making Confusion Matrix in R.srt 7.4 KB
  • 10. Logistic Regression/2. Training a Simple Logistic Model in Python.mp4 47.9 MB
  • 10. Logistic Regression/2. Training a Simple Logistic Model in Python.srt 10.6 KB
  • 10. Logistic Regression/3. Training a Simple Logistic model in R.mp4 25.6 MB
  • 10. Logistic Regression/3. Training a Simple Logistic model in R.srt 4.2 KB
  • 10. Logistic Regression/4. Result of Simple Logistic Regression.mp4 26.9 MB
  • 10. Logistic Regression/4. Result of Simple Logistic Regression.srt 5.9 KB
  • 10. Logistic Regression/5. Logistic with multiple predictors.mp4 8.5 MB
  • 10. Logistic Regression/5. Logistic with multiple predictors.srt 3 KB
  • 10. Logistic Regression/6. Training multiple predictor Logistic model in Python.mp4 26.3 MB
  • 10. Logistic Regression/6. Training multiple predictor Logistic model in Python.srt 6 KB
  • 10. Logistic Regression/7. Training multiple predictor Logistic model in R.mp4 15.8 MB
  • 10. Logistic Regression/7. Training multiple predictor Logistic model in R.srt 2 KB
  • 10. Logistic Regression/8. Confusion Matrix.mp4 21.1 MB
  • 10. Logistic Regression/8. Confusion Matrix.srt 4.9 KB
  • 10. Logistic Regression/9. Creating Confusion Matrix in Python.mp4 51.3 MB
  • 10. Logistic Regression/9. Creating Confusion Matrix in Python.srt 10.8 KB
  • 11. Linear Discriminant Analysis (LDA)/1. Linear Discriminant Analysis.mp4 41 MB
  • 11. Linear Discriminant Analysis (LDA)/1. Linear Discriminant Analysis.srt 11.9 KB
  • 11. Linear Discriminant Analysis (LDA)/2. LDA in Python.mp4 11.4 MB
  • 11. Linear Discriminant Analysis (LDA)/2. LDA in Python.srt 2.6 KB
  • 11. Linear Discriminant Analysis (LDA)/3. Linear Discriminant Analysis in R.mp4 74.4 MB
  • 11. Linear Discriminant Analysis (LDA)/3. Linear Discriminant Analysis in R.srt 10.2 KB
  • 12. K-Nearest Neighbors classifier/1. Test-Train Split.mp4 39.3 MB
  • 12. K-Nearest Neighbors classifier/1. Test-Train Split.srt 10.6 KB
  • 12. K-Nearest Neighbors classifier/2. Test-Train Split in Python.mp4 33.1 MB
  • 12. K-Nearest Neighbors classifier/2. Test-Train Split in Python.srt 7.4 KB
  • 12. K-Nearest Neighbors classifier/3. Test-Train Split in R.mp4 74.2 MB
  • 12. K-Nearest Neighbors classifier/3. Test-Train Split in R.srt 9.8 KB
  • 12. K-Nearest Neighbors classifier/4. K-Nearest Neighbors classifier.mp4 75.4 MB
  • 12. K-Nearest Neighbors classifier/4. K-Nearest Neighbors classifier.srt 10 KB
  • 12. K-Nearest Neighbors classifier/5. K-Nearest Neighbors in Python Part 1.mp4 37.2 MB
  • 12. K-Nearest Neighbors classifier/5. K-Nearest Neighbors in Python Part 1.srt 5.8 KB
  • 12. K-Nearest Neighbors classifier/6. K-Nearest Neighbors in Python Part 2.mp4 42.4 MB
  • 12. K-Nearest Neighbors classifier/6. K-Nearest Neighbors in Python Part 2.srt 6.9 KB
  • 12. K-Nearest Neighbors classifier/7. K-Nearest Neighbors in R.mp4 64.9 MB
  • 12. K-Nearest Neighbors classifier/7. K-Nearest Neighbors in R.srt 9 KB
  • 13. Comparing results from 3 models/1. Understanding the results of classification models.mp4 41.6 MB
  • 13. Comparing results from 3 models/1. Understanding the results of classification models.srt 7.5 KB
  • 13. Comparing results from 3 models/2. Summary of the three models.mp4 22.2 MB
  • 13. Comparing results from 3 models/2. Summary of the three models.srt 6 KB
  • 14. Simple Decision Trees/1. Basics of Decision Trees.mp4 42.6 MB
  • 14. Simple Decision Trees/1. Basics of Decision Trees.srt 11.3 KB
  • 14. Simple Decision Trees/10. Test-Train split in Python.mp4 24.9 MB
  • 14. Simple Decision Trees/10. Test-Train split in Python.srt 6.2 KB
  • 14. Simple Decision Trees/11. Splitting Data into Test and Train Set in R.mp4 44 MB
  • 14. Simple Decision Trees/11. Splitting Data into Test and Train Set in R.srt 5.8 KB
  • 14. Simple Decision Trees/12. Creating Decision tree in Python.mp4 17.9 MB
  • 14. Simple Decision Trees/12. Creating Decision tree in Python.srt 4.3 KB
  • 14. Simple Decision Trees/13. Building a Regression Tree in R.mp4 103.3 MB
  • 14. Simple Decision Trees/13. Building a Regression Tree in R.srt 15.5 KB
  • 14. Simple Decision Trees/14. Evaluating model performance in Python.mp4 16.4 MB
  • 14. Simple Decision Trees/14. Evaluating model performance in Python.srt 4.7 KB
  • 14. Simple Decision Trees/15. Plotting decision tree in Python.mp4 21.5 MB
  • 14. Simple Decision Trees/15. Plotting decision tree in Python.srt 5.3 KB
  • 14. Simple Decision Trees/16. Pruning a tree.mp4 18.5 MB
  • 14. Simple Decision Trees/16. Pruning a tree.srt 4.5 KB
  • 14. Simple Decision Trees/17. Pruning a tree in Python.mp4 73.5 MB
  • 14. Simple Decision Trees/17. Pruning a tree in Python.srt 10.7 KB
  • 14. Simple Decision Trees/18. Pruning a Tree in R.mp4 82.1 MB
  • 14. Simple Decision Trees/18. Pruning a Tree in R.srt 9.7 KB
  • 14. Simple Decision Trees/2. Understanding a Regression Tree.mp4 43.7 MB
  • 14. Simple Decision Trees/2. Understanding a Regression Tree.srt 11.9 KB
  • 14. Simple Decision Trees/3. The stopping criteria for controlling tree growth.mp4 14 MB
  • 14. Simple Decision Trees/3. The stopping criteria for controlling tree growth.srt 3.5 KB
  • 14. Simple Decision Trees/4. The Data set for this part.mp4 37.3 MB
  • 14. Simple Decision Trees/4. The Data set for this part.srt 3.3 KB
  • 14. Simple Decision Trees/5. Importing the Data set into Python.mp4 25.9 MB
  • 14. Simple Decision Trees/5. Importing the Data set into Python.srt 5.9 KB
  • 14. Simple Decision Trees/6. Importing the Data set into R.mp4 43.7 MB
  • 14. Simple Decision Trees/6. Importing the Data set into R.srt 7.2 KB
  • 14. Simple Decision Trees/7. Missing value treatment in Python.mp4 17.9 MB
  • 14. Simple Decision Trees/7. Missing value treatment in Python.srt 3.7 KB
  • 14. Simple Decision Trees/8. Dummy Variable creation in Python.mp4 24.9 MB
  • 14. Simple Decision Trees/8. Dummy Variable creation in Python.srt 5.3 KB
  • 14. Simple Decision Trees/9. Dependent- Independent Data split in Python.mp4 15.2 MB
  • 14. Simple Decision Trees/9. Dependent- Independent Data split in Python.srt 4.2 KB
  • 15. Simple Classification Tree/1. Classification tree.mp4 28.2 MB
  • 15. Simple Classification Tree/1. Classification tree.srt 6.7 KB
  • 15. Simple Classification Tree/2. The Data set for Classification problem.mp4 18.6 MB
  • 15. Simple Classification Tree/2. The Data set for Classification problem.srt 1.9 KB
  • 15. Simple Classification Tree/3. Classification tree in Python Preprocessing.mp4 45.4 MB
  • 15. Simple Classification Tree/3. Classification tree in Python Preprocessing.srt 8.9 KB
  • 15. Simple Classification Tree/4. Classification tree in Python Training.mp4 82.7 MB
  • 15. Simple Classification Tree/4. Classification tree in Python Training.srt 14.5 KB
  • 15. Simple Classification Tree/5. Building a classification Tree in R.mp4 85.1 MB
  • 15. Simple Classification Tree/5. Building a classification Tree in R.srt 10.1 KB

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