Udemy Machine Learning Hands On Python In Data Science | 2E8942A2FC4034003E8653282B7F9D6F8E722206

Udemy Machine Learning Hands On Python In Data Science

Name	Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	6.8 GB
Total Files	569
Hash	2E8942A2FC4034003E8653282B7F9D6F8E722206

/1. Welcome to the course!/
1. Applications of Machine Learning.mp4	8.4 MB
1. Applications of Machine Learning.vtt	4.8 KB
10. Installing R and R Studio (Mac, Linux & Windows).mp4	18.4 MB
10. Installing R and R Studio (Mac, Linux & Windows).vtt	8.1 KB
11. BONUS Meet your instructors.html	1.1 KB
12. Some Additional Resources.html	0.6 KB
13. FAQBot!.html	1.8 KB
2. BONUS Learning Paths.html	2.4 KB
3. Why Machine Learning is the Future.mp4	13.4 MB
3. Why Machine Learning is the Future.vtt	8.3 KB
4. Important notes, tips & tricks for this course.html	3.3 KB
5. This PDF resource will help you a lot.html	1.5 KB
5.1 Machine_Learning_A_Z_Q_A.pdf.pdf	2.4 MB
6. The whole code folder of the course.html	1.0 KB
6.1 Machine_Learning_A-Z_New.zip.zip	239.5 MB
7. Updates on Udemy Reviews.mp4	55.5 MB
7. Updates on Udemy Reviews.vtt	55.5 MB
8. Installing Python and Anaconda (Mac, Linux & Windows).mp4	20.5 MB
8. Installing Python and Anaconda (Mac, Linux & Windows).vtt	11.2 KB
9. Update Recommended Anaconda Version.html	1.4 KB
/10. Evaluating Regression Models Performance/
1. R-Squared Intuition.mp4	9.3 MB
1. R-Squared Intuition.vtt	6.6 KB
2. Adjusted R-Squared Intuition.mp4	20.2 MB
2. Adjusted R-Squared Intuition.vtt	13.3 KB
3. Evaluating Regression Models Performance - Homework's Final Part.mp4	23.0 MB
3. Evaluating Regression Models Performance - Homework's Final Part.vtt	11.9 KB
4. Interpreting Linear Regression Coefficients.mp4	25.4 MB
4. Interpreting Linear Regression Coefficients.vtt	12.3 KB
5. Conclusion of Part 2 - Regression.html	3.0 KB
/11. -------------------- Part 3 Classification --------------------/
1. Welcome to Part 3 - Classification.html	0.8 KB
/12. Logistic Regression/
1. Logistic Regression Intuition.mp4	30.6 MB
1. Logistic Regression Intuition.vtt	21.4 KB
10. Logistic Regression in R - Step 2.mp4	8.2 MB
10. Logistic Regression in R - Step 2.vtt	4.0 KB
11. Logistic Regression in R - Step 3.mp4	15.3 MB
11. Logistic Regression in R - Step 3.vtt	6.8 KB
12. Logistic Regression in R - Step 4.mp4	7.2 MB
12. Logistic Regression in R - Step 4.vtt	3.6 KB
13. Logistic Regression in R - Step 5.mp4	54.2 MB
13. Logistic Regression in R - Step 5.vtt	26.6 KB
14. R Classification Template.mp4	13.1 MB
14. R Classification Template.vtt	6.2 KB
15. Logistic Regression.html	0.1 KB
2. How to get the dataset.mp4	12.3 MB
2. How to get the dataset.vtt	4.3 KB
3. Logistic Regression in Python - Step 1.mp4	13.6 MB
3. Logistic Regression in Python - Step 1.vtt	2.4 MB
4. Logistic Regression in Python - Step 2.mp4	8.6 MB
4. Logistic Regression in Python - Step 2.vtt	4.5 KB
5. Logistic Regression in Python - Step 3.mp4	6.3 MB
5. Logistic Regression in Python - Step 3.vtt	3.7 KB
6. Logistic Regression in Python - Step 4.mp4	10.9 MB
6. Logistic Regression in Python - Step 4.vtt	6.5 KB
7. Logistic Regression in Python - Step 5.mp4	44.6 MB
7. Logistic Regression in Python - Step 5.vtt	27.1 KB
8. Python Classification Template.mp4	12.7 MB
8. Python Classification Template.vtt	5.6 KB
9. Logistic Regression in R - Step 1.mp4	13.2 MB
9. Logistic Regression in R - Step 1.vtt	8.1 KB
/13. K-Nearest Neighbors (K-NN)/
1. K-Nearest Neighbor Intuition.mp4	9.7 MB
1. K-Nearest Neighbor Intuition.vtt	7.4 KB
2. How to get the dataset.mp4	12.3 MB
2. How to get the dataset.vtt	4.3 KB
3. K-NN in Python.mp4	36.9 MB
3. K-NN in Python.vtt	19.2 KB
4. K-NN in R.mp4	43.4 MB
4. K-NN in R.vtt	21.2 KB
5. K-Nearest Neighbor.html	0.1 KB
/14. Support Vector Machine (SVM)/
1. SVM Intuition.mp4	18.9 MB
1. SVM Intuition.vtt	14.5 KB
2. How to get the dataset.mp4	12.3 MB
2. How to get the dataset.vtt	4.3 KB
3. SVM in Python.mp4	32.7 MB
3. SVM in Python.vtt	17.3 KB
4. SVM in R.mp4	33.8 MB
4. SVM in R.vtt	16.8 KB
4.1 SVM.zip.zip	8.5 KB
/15. Kernel SVM/
1. Kernel SVM Intuition.mp4	6.1 MB
1. Kernel SVM Intuition.vtt	4.0 KB
2. Mapping to a higher dimension.mp4	14.4 MB
2. Mapping to a higher dimension.vtt	9.5 KB
3. The Kernel Trick.mp4	30.7 MB
3. The Kernel Trick.vtt	14.8 KB
4. Types of Kernel Functions.mp4	12.9 MB
4. Types of Kernel Functions.vtt	4.5 KB
5. How to get the dataset.mp4	12.3 MB
5. How to get the dataset.vtt	4.3 KB
6. Kernel SVM in Python.mp4	43.6 MB
6. Kernel SVM in Python.vtt	25.6 KB
7. Kernel SVM in R.mp4	42.4 MB
7. Kernel SVM in R.vtt	23.2 KB
/16. Naive Bayes/
1. Bayes Theorem.mp4	46.0 MB
1. Bayes Theorem.vtt	31.4 KB
2. Naive Bayes Intuition.mp4	29.1 MB
2. Naive Bayes Intuition.vtt	21.4 KB
3. Naive Bayes Intuition (Challenge Reveal).mp4	13.9 MB
3. Naive Bayes Intuition (Challenge Reveal).vtt	8.8 KB
4. Naive Bayes Intuition (Extras).mp4	19.9 MB
4. Naive Bayes Intuition (Extras).vtt	14.6 KB
5. How to get the dataset.mp4	12.3 MB
5. How to get the dataset.vtt	4.3 KB
6. Naive Bayes in Python.mp4	24.5 MB
6. Naive Bayes in Python.vtt	12.5 KB
7. Naive Bayes in R.mp4	39.1 MB
7. Naive Bayes in R.vtt	19.9 KB
/17. Decision Tree Classification/
1. Decision Tree Classification Intuition.mp4	19.7 MB
1. Decision Tree Classification Intuition.vtt	19.7 MB
2. How to get the dataset.mp4	12.3 MB
2. How to get the dataset.vtt	4.3 KB
3. Decision Tree Classification in Python.mp4	31.2 MB
3. Decision Tree Classification in Python.vtt	17.6 KB
4. Decision Tree Classification in R.mp4	53.7 MB
4. Decision Tree Classification in R.vtt	26.5 KB
/18. Random Forest Classification/
1. Random Forest Classification Intuition.mp4	20.4 MB
1. Random Forest Classification Intuition.vtt	6.6 KB
2. How to get the dataset.mp4	12.3 MB
2. How to get the dataset.vtt	4.3 KB
3. Random Forest Classification in Python.mp4	49.4 MB
3. Random Forest Classification in Python.vtt	28.1 KB
4. Random Forest Classification in R.mp4	51.8 MB
4. Random Forest Classification in R.vtt	29.5 KB
/19. Evaluating Classification Models Performance/
1. False Positives & False Negatives.mp4	14.3 MB
1. False Positives & False Negatives.vtt	10.4 KB
2. Confusion Matrix.mp4	8.6 MB
2. Confusion Matrix.vtt	6.9 KB
3. Accuracy Paradox.mp4	4.0 MB
3. Accuracy Paradox.vtt	3.0 KB
4. CAP Curve.mp4	19.6 MB
4. CAP Curve.vtt	14.9 KB
5. CAP Curve Analysis.mp4	12.1 MB
5. CAP Curve Analysis.vtt	8.5 KB
6. Conclusion of Part 3 - Classification.html	3.8 KB
/2. -------------------- Part 1 Data Preprocessing --------------------/
1. Welcome to Part 1 - Data Preprocessing.mp4	3.1 MB
1. Welcome to Part 1 - Data Preprocessing.vtt	2.3 KB
10. Feature Scaling.mp4	36.3 MB
10. Feature Scaling.vtt	21.3 KB
11. And here is our Data Preprocessing Template!.mp4	20.6 MB
11. And here is our Data Preprocessing Template!.vtt	13.0 KB
12. Data Preprocessing.html	0.1 KB
2. Get the dataset.mp4	22.2 MB
2. Get the dataset.vtt	9.6 KB
3. Importing the Libraries.mp4	11.6 MB
3. Importing the Libraries.vtt	7.1 KB
4. Importing the Dataset.mp4	24.4 MB
4. Importing the Dataset.vtt	17.0 KB
6. Missing Data.mp4	33.7 MB
6. Missing Data.vtt	19.9 KB
7. Categorical Data.mp4	42.8 MB
7. Categorical Data.vtt	24.4 KB
8. WARNING - Update.html	2.9 KB
9. Splitting the Dataset into the Training set and Test set.mp4	40.9 MB
9. Splitting the Dataset into the Training set and Test set.vtt	24.5 KB
/20. -------------------- Part 4 Clustering --------------------/
1. Welcome to Part 4 - Clustering.html	0.7 KB
/21. K-Means Clustering/
1. K-Means Clustering Intuition.mp4	28.2 MB
1. K-Means Clustering Intuition.vtt	21.4 KB
2. K-Means Random Initialization Trap.mp4	16.1 MB
2. K-Means Random Initialization Trap.vtt	11.9 KB
3. K-Means Selecting The Number Of Clusters.mp4	24.3 MB
3. K-Means Selecting The Number Of Clusters.vtt	16.9 KB
4. How to get the dataset.mp4	12.3 MB
4. How to get the dataset.vtt	4.3 KB
5. K-Means Clustering in Python.mp4	41.7 MB
5. K-Means Clustering in Python.vtt	25.8 KB
6. K-Means Clustering in R.mp4	30.4 MB
6. K-Means Clustering in R.vtt	17.8 KB
7. K-Means Clustering.html	0.1 KB
/22. Hierarchical Clustering/
1. Hierarchical Clustering Intuition.mp4	17.3 MB
1. Hierarchical Clustering Intuition.vtt	17.3 MB
10. HC in R - Step 1.mp4	7.7 MB
10. HC in R - Step 1.vtt	5.8 KB
11. HC in R - Step 2.mp4	11.7 MB
11. HC in R - Step 2.vtt	7.5 KB
12. HC in R - Step 3.mp4	8.2 MB
12. HC in R - Step 3.vtt	4.4 KB
13. HC in R - Step 4.mp4	7.8 MB
13. HC in R - Step 4.vtt	3.6 KB
14. HC in R - Step 5.mp4	7.2 MB
14. HC in R - Step 5.vtt	3.7 KB
15. Hierarchical Clustering.html	0.1 KB
16. Conclusion of Part 4 - Clustering.html	0.5 KB
16.1 Clustering-Pros-Cons.pdf.pdf	26.4 KB
2. Hierarchical Clustering How Dendrograms Work.mp4	18.3 MB
2. Hierarchical Clustering How Dendrograms Work.vtt	13.1 KB
3. Hierarchical Clustering Using Dendrograms.mp4	23.9 MB
3. Hierarchical Clustering Using Dendrograms.vtt	16.2 KB
4. How to get the dataset.mp4	12.3 MB
4. How to get the dataset.vtt	4.3 KB
5. HC in Python - Step 1.mp4	11.2 MB
5. HC in Python - Step 1.vtt	7.0 KB
6. HC in Python - Step 2.mp4	13.3 MB
6. HC in Python - Step 2.vtt	8.8 KB
7. HC in Python - Step 3.mp4	12.9 MB
7. HC in Python - Step 3.vtt	7.1 KB
8. HC in Python - Step 4.mp4	12.6 MB
8. HC in Python - Step 4.vtt	6.0 KB
9. HC in Python - Step 5.mp4	8.8 MB
9. HC in Python - Step 5.vtt	6.3 KB
/23. -------------------- Part 5 Association Rule Learning --------------------/
1. Welcome to Part 5 - Association Rule Learning.html	0.4 KB
/24. Apriori/
1. Apriori Intuition.mp4	36.7 MB
1. Apriori Intuition.vtt	23.1 KB
2. How to get the dataset.mp4	12.3 MB
2. How to get the dataset.vtt	4.3 KB
3. Apriori in R - Step 1.mp4	45.0 MB
3. Apriori in R - Step 1.vtt	45.0 MB
4. Apriori in R - Step 2.mp4	32.0 MB
4. Apriori in R - Step 2.vtt	21.1 KB
5. Apriori in R - Step 3.mp4	46.0 MB
5. Apriori in R - Step 3.vtt	28.4 KB
6. Apriori in Python - Step 1.mp4	39.8 MB
6. Apriori in Python - Step 1.vtt	25.5 KB
7. Apriori in Python - Step 2.mp4	31.0 MB
7. Apriori in Python - Step 2.vtt	20.6 KB
8. Apriori in Python - Step 3.mp4	28.3 MB
8. Apriori in Python - Step 3.vtt	28.3 MB
/25. Eclat/
1. Eclat Intuition.mp4	11.2 MB
1. Eclat Intuition.vtt	7.3 KB
2. How to get the dataset.mp4	12.3 MB
2. How to get the dataset.vtt	4.3 KB
3. Eclat in R.mp4	21.7 MB
3. Eclat in R.vtt	14.4 KB
3.1 Eclat.zip.zip	49.7 KB
/26. -------------------- Part 6 Reinforcement Learning --------------------/
1. Welcome to Part 6 - Reinforcement Learning.html	0.8 KB
/27. Upper Confidence Bound (UCB)/
1. The Multi-Armed Bandit Problem.mp4	31.7 MB
1. The Multi-Armed Bandit Problem.vtt	19.9 KB
10. Upper Confidence Bound in R - Step 3.mp4	49.5 MB
10. Upper Confidence Bound in R - Step 3.vtt	22.5 KB
11. Upper Confidence Bound in R - Step 4.mp4	7.8 MB
11. Upper Confidence Bound in R - Step 4.vtt	4.0 KB
2. Upper Confidence Bound (UCB) Intuition.mp4	30.8 MB
2. Upper Confidence Bound (UCB) Intuition.vtt	30.8 MB
3. How to get the dataset.mp4	12.3 MB
3. How to get the dataset.vtt	4.3 KB
4. Upper Confidence Bound in Python - Step 1.mp4	33.1 MB
4. Upper Confidence Bound in Python - Step 1.vtt	19.5 KB
5. Upper Confidence Bound in Python - Step 2.mp4	37.2 MB
5. Upper Confidence Bound in Python - Step 2.vtt	22.3 KB
6. Upper Confidence Bound in Python - Step 3.mp4	43.1 MB
6. Upper Confidence Bound in Python - Step 3.vtt	23.9 KB
7. Upper Confidence Bound in Python - Step 4.mp4	9.6 MB
7. Upper Confidence Bound in Python - Step 4.vtt	4.5 KB
8. Upper Confidence Bound in R - Step 1.mp4	29.4 MB
8. Upper Confidence Bound in R - Step 1.vtt	18.3 KB
9. Upper Confidence Bound in R - Step 2.mp4	30.4 MB
9. Upper Confidence Bound in R - Step 2.vtt	19.7 KB
/28. Thompson Sampling/
1. Thompson Sampling Intuition.mp4	39.1 MB
1. Thompson Sampling Intuition.vtt	24.7 KB
2. Algorithm Comparison UCB vs Thompson Sampling.mp4	14.8 MB
2. Algorithm Comparison UCB vs Thompson Sampling.vtt	10.1 KB
3. How to get the dataset.mp4	12.3 MB
3. How to get the dataset.vtt	4.3 KB
4. Thompson Sampling in Python - Step 1.mp4	45.2 MB
4. Thompson Sampling in Python - Step 1.vtt	25.8 KB
5. Thompson Sampling in Python - Step 2.mp4	8.8 MB
5. Thompson Sampling in Python - Step 2.vtt	5.3 KB
6. Thompson Sampling in R - Step 1.mp4	42.9 MB
6. Thompson Sampling in R - Step 1.vtt	24.9 KB
7. Thompson Sampling in R - Step 2.mp4	7.8 MB
7. Thompson Sampling in R - Step 2.vtt	4.9 KB
/29. -------------------- Part 7 Natural Language Processing --------------------/
1. Welcome to Part 7 - Natural Language Processing.html	1.7 KB
10. Natural Language Processing in Python - Step 7.mp4	17.9 MB
10. Natural Language Processing in Python - Step 7.vtt	8.8 KB
11. Natural Language Processing in Python - Step 8.mp4	41.4 MB
11. Natural Language Processing in Python - Step 8.vtt	21.3 KB
12. Natural Language Processing in Python - Step 9.mp4	14.7 MB
12. Natural Language Processing in Python - Step 9.vtt	7.4 KB
13. Natural Language Processing in Python - Step 10.mp4	25.3 MB
13. Natural Language Processing in Python - Step 10.vtt	12.8 KB
14. Homework Challenge.html	1.4 KB
15. Natural Language Processing in R - Step 1.mp4	42.3 MB
15. Natural Language Processing in R - Step 1.vtt	42.3 MB
16. Natural Language Processing in R - Step 2.mp4	18.3 MB
16. Natural Language Processing in R - Step 2.vtt	11.6 KB
17. Natural Language Processing in R - Step 3.mp4	14.2 MB
17. Natural Language Processing in R - Step 3.vtt	9.0 KB
18. Natural Language Processing in R - Step 4.mp4	6.8 MB
18. Natural Language Processing in R - Step 4.vtt	4.3 KB
19. Natural Language Processing in R - Step 5.mp4	4.8 MB
19. Natural Language Processing in R - Step 5.vtt	2.9 KB
2. Natural Language Processing Intuition.mp4	31.1 MB
2. Natural Language Processing Intuition.vtt	6.4 KB
20. Natural Language Processing in R - Step 6.mp4	13.4 MB
20. Natural Language Processing in R - Step 6.vtt	7.5 KB
21. Natural Language Processing in R - Step 7.mp4	7.9 MB
21. Natural Language Processing in R - Step 7.vtt	5.1 KB
22. Natural Language Processing in R - Step 8.mp4	13.9 MB
22. Natural Language Processing in R - Step 8.vtt	7.1 KB
23. Natural Language Processing in R - Step 9.mp4	30.4 MB
23. Natural Language Processing in R - Step 9.vtt	17.6 KB
24. Natural Language Processing in R - Step 10.mp4	43.2 MB
24. Natural Language Processing in R - Step 10.vtt	23.4 KB
25. Homework Challenge.html	1.4 KB
3. How to get the dataset.mp4	12.3 MB
3. How to get the dataset.vtt	4.3 KB
4. Natural Language Processing in Python - Step 1.mp4	36.9 MB
4. Natural Language Processing in Python - Step 1.vtt	16.3 KB
5. Natural Language Processing in Python - Step 2.mp4	23.0 MB
5. Natural Language Processing in Python - Step 2.vtt	14.1 KB
6. Natural Language Processing in Python - Step 3.mp4	3.6 MB
6. Natural Language Processing in Python - Step 3.vtt	3.6 MB
7. Natural Language Processing in Python - Step 4.mp4	25.2 MB
7. Natural Language Processing in Python - Step 4.vtt	15.5 KB
8. Natural Language Processing in Python - Step 5.mp4	15.6 MB
8. Natural Language Processing in Python - Step 5.vtt	9.5 KB
9. Natural Language Processing in Python - Step 6.mp4	6.8 MB
9. Natural Language Processing in Python - Step 6.vtt	4.0 KB
/3. -------------------- Part 2 Regression --------------------/
1. Welcome to Part 2 - Regression.html	0.9 KB
/30. -------------------- Part 8 Deep Learning --------------------/
1. Welcome to Part 8 - Deep Learning.html	0.9 KB
2. What is Deep Learning.mp4	32.8 MB
2. What is Deep Learning.vtt	16.3 KB
/31. Artificial Neural Networks/
1. Plan of attack.mp4	5.0 MB
1. Plan of attack.vtt	3.6 KB
10. Business Problem Description.mp4	17.2 MB
10. Business Problem Description.vtt	6.6 KB
11. Installing Keras.html	1.4 KB
12. ANN in Python - Step 1.mp4	30.7 MB
12. ANN in Python - Step 1.vtt	17.8 KB
13. ANN in Python - Step 2.mp4	50.4 MB
13. ANN in Python - Step 2.vtt	25.4 KB
14. ANN in Python - Step 3.mp4	8.8 MB
14. ANN in Python - Step 3.vtt	4.7 KB
15. ANN in Python - Step 4.mp4	6.2 MB
15. ANN in Python - Step 4.vtt	3.5 KB
16. ANN in Python - Step 5.mp4	31.0 MB
16. ANN in Python - Step 5.vtt	17.5 KB
17. ANN in Python - Step 6.mp4	7.4 MB
17. ANN in Python - Step 6.vtt	4.1 KB
18. ANN in Python - Step 7.mp4	9.4 MB
18. ANN in Python - Step 7.vtt	5.3 KB
19. ANN in Python - Step 8.mp4	19.1 MB
19. ANN in Python - Step 8.vtt	19.1 MB
2. The Neuron.mp4	31.3 MB
2. The Neuron.vtt	22.4 KB
20. ANN in Python - Step 9.mp4	17.7 MB
20. ANN in Python - Step 9.vtt	8.4 KB
21. ANN in Python - Step 10.mp4	17.9 MB
21. ANN in Python - Step 10.vtt	9.2 KB
22. ANN in R - Step 1.mp4	40.4 MB
22. ANN in R - Step 1.vtt	23.6 KB
23. ANN in R - Step 2.mp4	14.9 MB
23. ANN in R - Step 2.vtt	9.1 KB
24. ANN in R - Step 3.mp4	30.3 MB
24. ANN in R - Step 3.vtt	16.8 KB
25. ANN in R - Step 4 (Last step).mp4	35.1 MB
25. ANN in R - Step 4 (Last step).vtt	18.4 KB
3. The Activation Function.mp4	15.5 MB
3. The Activation Function.vtt	10.8 KB
4. How do Neural Networks work.mp4	24.7 MB
4. How do Neural Networks work.vtt	17.2 KB
5. How do Neural Networks learn.mp4	27.8 MB
5. How do Neural Networks learn.vtt	16.9 KB
6. Gradient Descent.mp4	19.4 MB
6. Gradient Descent.vtt	12.6 KB
7. Stochastic Gradient Descent.mp4	17.6 MB
7. Stochastic Gradient Descent.vtt	11.0 KB
8. Backpropagation.mp4	11.5 MB
8. Backpropagation.vtt	6.5 KB
9. How to get the dataset.mp4	12.3 MB
9. How to get the dataset.vtt	4.3 KB
/32. Convolutional Neural Networks/
1. Plan of attack.mp4	6.2 MB
1. Plan of attack.vtt	4.7 KB
10. How to get the dataset.mp4	12.3 MB
10. How to get the dataset.vtt	4.3 KB
11. Installing Keras.html	0.9 KB
12. CNN in Python - Step 1.mp4	26.1 MB
12. CNN in Python - Step 1.vtt	16.6 KB
13. CNN in Python - Step 2.mp4	6.1 MB
13. CNN in Python - Step 2.vtt	4.0 KB
14. CNN in Python - Step 3.mp4	2.3 MB
14. CNN in Python - Step 3.vtt	1.6 KB
15. CNN in Python - Step 4.mp4	28.5 MB
15. CNN in Python - Step 4.vtt	17.3 KB
16. CNN in Python - Step 5.mp4	10.4 MB
16. CNN in Python - Step 5.vtt	6.7 KB
17. CNN in Python - Step 6.mp4	10.2 MB
17. CNN in Python - Step 6.vtt	6.9 KB
18. CNN in Python - Step 7.mp4	13.6 MB
18. CNN in Python - Step 7.vtt	8.2 KB
19. CNN in Python - Step 8.mp4	7.1 MB
19. CNN in Python - Step 8.vtt	4.0 KB
2. What are convolutional neural networks.mp4	30.9 MB
2. What are convolutional neural networks.vtt	19.8 KB
20. CNN in Python - Step 9.mp4	49.1 MB
20. CNN in Python - Step 9.vtt	26.1 KB
21. CNN in Python - Step 10.mp4	21.6 MB
21. CNN in Python - Step 10.vtt	11.6 KB
22. CNN in R.html	2.4 KB
3. Step 1 - Convolution Operation.mp4	32.5 MB
3. Step 1 - Convolution Operation.vtt	20.9 KB
4. Step 1(b) - ReLU Layer.mp4	14.8 MB
4. Step 1(b) - ReLU Layer.vtt	8.3 KB
5. Step 2 - Pooling.mp4	42.2 MB
5. Step 2 - Pooling.vtt	18.8 KB
6. Step 3 - Flattening.mp4	3.4 MB
6. Step 3 - Flattening.vtt	2.3 KB
7. Step 4 - Full Connection.mp4	44.8 MB
7. Step 4 - Full Connection.vtt	25.7 KB
8. Summary.mp4	8.3 MB
8. Summary.vtt	5.5 KB
9. Softmax & Cross-Entropy.mp4	34.8 MB
9. Softmax & Cross-Entropy.vtt	22.7 KB
/33. -------------------- Part 9 Dimensionality Reduction --------------------/
1. Welcome to Part 9 - Dimensionality Reduction.html	1.3 KB
/34. Principal Component Analysis (PCA)/
1. Principal Component Analysis (PCA) Intuition.mp4	33.7 MB
1. Principal Component Analysis (PCA) Intuition.vtt	4.6 KB
2. How to get the dataset.mp4	12.3 MB
2. How to get the dataset.vtt	4.3 KB
3. PCA in Python - Step 1.mp4	33.5 MB
3. PCA in Python - Step 1.vtt	15.8 KB
4. PCA in Python - Step 2.mp4	23.1 MB
4. PCA in Python - Step 2.vtt	10.6 KB
5. PCA in Python - Step 3.mp4	26.7 MB
5. PCA in Python - Step 3.vtt	13.3 KB
6. PCA in R - Step 1.mp4	32.1 MB
6. PCA in R - Step 1.vtt	16.8 KB
7. PCA in R - Step 2.mp4	30.4 MB
7. PCA in R - Step 2.vtt	15.0 KB
8. PCA in R - Step 3.mp4	38.5 MB
8. PCA in R - Step 3.vtt	38.5 MB
/35. Linear Discriminant Analysis (LDA)/
1. Linear Discriminant Analysis (LDA) Intuition.mp4	28.3 MB
1. Linear Discriminant Analysis (LDA) Intuition.vtt	4.6 KB
2. How to get the dataset.mp4	12.3 MB
2. How to get the dataset.vtt	4.3 KB
3. LDA in Python.mp4	47.6 MB
3. LDA in Python.vtt	23.6 KB
4. LDA in R.mp4	53.8 MB
4. LDA in R.vtt	26.2 KB
/36. Kernel PCA/
1. How to get the dataset.mp4	12.3 MB
1. How to get the dataset.vtt	4.3 KB
2. Kernel PCA in Python.mp4	35.0 MB
2. Kernel PCA in Python.vtt	19.2 KB
3. Kernel PCA in R.mp4	59.3 MB
3. Kernel PCA in R.vtt	27.3 KB
/37. -------------------- Part 10 Model Selection & Boosting --------------------/
1. Welcome to Part 10 - Model Selection & Boosting.html	0.9 KB
/38. Model Selection/
1. How to get the dataset.mp4	12.3 MB
1. How to get the dataset.vtt	12.3 MB
2. k-Fold Cross Validation in Python.mp4	34.4 MB
2. k-Fold Cross Validation in Python.vtt	18.0 KB
3. k-Fold Cross Validation in R.mp4	45.8 MB
3. k-Fold Cross Validation in R.vtt	24.8 KB
4. Grid Search in Python - Step 1.mp4	40.1 MB
4. Grid Search in Python - Step 1.vtt	19.8 KB
5. Grid Search in Python - Step 2.mp4	31.0 MB
5. Grid Search in Python - Step 2.vtt	13.6 KB
6. Grid Search in R.mp4	37.3 MB
6. Grid Search in R.vtt	18.7 KB
/39. XGBoost/
1. How to get the dataset.mp4	12.3 MB
1. How to get the dataset.vtt	4.3 KB
2. XGBoost in Python - Step 1.mp4	22.4 MB
2. XGBoost in Python - Step 1.vtt	12.3 KB
3. XGBoost in Python - Step 2.mp4	33.5 MB
3. XGBoost in Python - Step 2.vtt	33.6 MB
4. XGBoost in R.mp4	49.6 MB
4. XGBoost in R.vtt	23.1 KB
5. THANK YOU bonus video.mp4	54.8 MB
5. THANK YOU bonus video.vtt	2.1 KB
/4. Simple Linear Regression/
1. How to get the dataset.mp4	12.3 MB
1. How to get the dataset.vtt	4.3 KB
10. Simple Linear Regression in R - Step 2.mp4	15.1 MB
10. Simple Linear Regression in R - Step 2.vtt	8.2 KB
11. Simple Linear Regression in R - Step 3.mp4	9.1 MB
11. Simple Linear Regression in R - Step 3.vtt	5.1 KB
12. Simple Linear Regression in R - Step 4.mp4	39.2 MB
12. Simple Linear Regression in R - Step 4.vtt	21.7 KB
13. Simple Linear Regression.html	0.1 KB
2. Dataset + Business Problem Description.mp4	7.0 MB
2. Dataset + Business Problem Description.vtt	3.8 KB
3. Simple Linear Regression Intuition - Step 1.mp4	9.9 MB
3. Simple Linear Regression Intuition - Step 1.vtt	7.7 KB
4. Simple Linear Regression Intuition - Step 2.mp4	5.6 MB
4. Simple Linear Regression Intuition - Step 2.vtt	4.0 KB
5. Simple Linear Regression in Python - Step 1.mp4	22.8 MB
5. Simple Linear Regression in Python - Step 1.vtt	14.2 KB
6. Simple Linear Regression in Python - Step 2.mp4	19.7 MB
6. Simple Linear Regression in Python - Step 2.vtt	11.4 KB
7. Simple Linear Regression in Python - Step 3.mp4	16.4 MB
7. Simple Linear Regression in Python - Step 3.vtt	9.1 KB
8. Simple Linear Regression in Python - Step 4.mp4	32.3 MB
8. Simple Linear Regression in Python - Step 4.vtt	20.5 KB
9. Simple Linear Regression in R - Step 1.mp4	10.0 MB
9. Simple Linear Regression in R - Step 1.vtt	7.0 KB
/40. Bonus Lectures/
1. YOUR SPECIAL BONUS.html	4.6 KB
/5. Multiple Linear Regression/
1. How to get the dataset.mp4	12.3 MB
1. How to get the dataset.vtt	4.3 KB
10. Multiple Linear Regression in Python - Step 2.mp4	7.6 MB
10. Multiple Linear Regression in Python - Step 2.vtt	3.7 KB
11. Multiple Linear Regression in Python - Step 3.mp4	15.0 MB
11. Multiple Linear Regression in Python - Step 3.vtt	7.6 KB
12. Multiple Linear Regression in Python - Backward Elimination - Preparation.mp4	25.0 MB
12. Multiple Linear Regression in Python - Backward Elimination - Preparation.vtt	13.4 KB
13. Multiple Linear Regression in Python - Backward Elimination - HOMEWORK !.mp4	34.2 MB
13. Multiple Linear Regression in Python - Backward Elimination - HOMEWORK !.vtt	18.0 KB
14. Multiple Linear Regression in Python - Backward Elimination - Homework Solution.mp4	28.5 MB
14. Multiple Linear Regression in Python - Backward Elimination - Homework Solution.vtt	13.0 KB
15. Multiple Linear Regression in Python - Automatic Backward Elimination.html	2.2 KB
16. Multiple Linear Regression in R - Step 1.mp4	18.8 MB
16. Multiple Linear Regression in R - Step 1.vtt	10.8 KB
17. Multiple Linear Regression in R - Step 2.mp4	27.2 MB
17. Multiple Linear Regression in R - Step 2.vtt	14.2 KB
18. Multiple Linear Regression in R - Step 3.mp4	10.9 MB
18. Multiple Linear Regression in R - Step 3.vtt	6.4 KB
19. Multiple Linear Regression in R - Backward Elimination - HOMEWORK !.mp4	41.7 MB
19. Multiple Linear Regression in R - Backward Elimination - HOMEWORK !.vtt	25.2 KB
2. Dataset + Business Problem Description.mp4	10.5 MB
2. Dataset + Business Problem Description.vtt	5.2 KB
20. Multiple Linear Regression in R - Backward Elimination - Homework Solution.mp4	18.1 MB
20. Multiple Linear Regression in R - Backward Elimination - Homework Solution.vtt	10.8 KB
21. Multiple Linear Regression in R - Automatic Backward Elimination.html	0.7 KB
22. Multiple Linear Regression.html	0.1 KB
3. Multiple Linear Regression Intuition - Step 1.mp4	1.9 MB
3. Multiple Linear Regression Intuition - Step 1.vtt	1.5 KB
4. Multiple Linear Regression Intuition - Step 2.mp4	1.9 MB
4. Multiple Linear Regression Intuition - Step 2.vtt	1.4 KB
5. Multiple Linear Regression Intuition - Step 3.mp4	15.0 MB
5. Multiple Linear Regression Intuition - Step 3.vtt	9.9 KB
6. Multiple Linear Regression Intuition - Step 4.mp4	4.7 MB
6. Multiple Linear Regression Intuition - Step 4.vtt	3.2 KB
7. Prerequisites What is the P-Value.html	0.7 KB
8. Multiple Linear Regression Intuition - Step 5.mp4	30.2 MB
8. Multiple Linear Regression Intuition - Step 5.vtt	21.6 KB
9. Multiple Linear Regression in Python - Step 1.mp4	41.5 MB
9. Multiple Linear Regression in Python - Step 1.vtt	22.0 KB
/6. Polynomial Regression/
1. Polynomial Regression Intuition.mp4	9.9 MB
1. Polynomial Regression Intuition.vtt	7.2 KB
10. Polynomial Regression in R - Step 3.mp4	45.4 MB
10. Polynomial Regression in R - Step 3.vtt	28.1 KB
11. Polynomial Regression in R - Step 4.mp4	23.4 MB
11. Polynomial Regression in R - Step 4.vtt	23.5 MB
12. R Regression Template.mp4	26.6 MB
12. R Regression Template.vtt	17.1 KB
2. How to get the dataset.mp4	12.3 MB
2. How to get the dataset.vtt	4.3 KB
3. Polynomial Regression in Python - Step 1.mp4	26.1 MB
3. Polynomial Regression in Python - Step 1.vtt	16.1 KB
4. Polynomial Regression in Python - Step 2.mp4	28.4 MB
4. Polynomial Regression in Python - Step 2.vtt	15.7 KB
5. Polynomial Regression in Python - Step 3.mp4	45.1 MB
5. Polynomial Regression in Python - Step 3.vtt	45.1 MB
6. Polynomial Regression in Python - Step 4.mp4	14.2 MB
6. Polynomial Regression in Python - Step 4.vtt	14.2 MB
7. Python Regression Template.mp4	28.8 MB
7. Python Regression Template.vtt	15.0 KB
8. Polynomial Regression in R - Step 1.mp4	18.6 MB
8. Polynomial Regression in R - Step 1.vtt	13.0 KB
9. Polynomial Regression in R - Step 2.mp4	25.0 MB
9. Polynomial Regression in R - Step 2.vtt	14.0 KB
/7. Support Vector Regression (SVR)/
1. How to get the dataset.mp4	12.3 MB
1. How to get the dataset.vtt	4.3 KB
2. SVR Intuition.mp4	48.9 MB
2. SVR Intuition.vtt	10.4 KB
3. SVR in Python.mp4	48.4 MB
3. SVR in Python.vtt	28.1 KB
4. SVR in R.mp4	27.1 MB
4. SVR in R.vtt	17.0 KB
/8. Decision Tree Regression/
1. Decision Tree Regression Intuition.mp4	23.8 MB
1. Decision Tree Regression Intuition.vtt	15.6 KB
2. How to get the dataset.mp4	12.3 MB
2. How to get the dataset.vtt	4.3 KB
3. Decision Tree Regression in Python.mp4	35.2 MB
3. Decision Tree Regression in Python.vtt	21.6 KB
4. Decision Tree Regression in R.mp4	46.5 MB
4. Decision Tree Regression in R.vtt	29.2 KB
/9. Random Forest Regression/
1. Random Forest Regression Intuition.mp4	14.5 MB
1. Random Forest Regression Intuition.vtt	9.5 KB
2. How to get the dataset.mp4	12.3 MB
2. How to get the dataset.vtt	4.3 KB
3. Random Forest Regression in Python.mp4	41.4 MB
3. Random Forest Regression in Python.vtt	25.0 KB
4. Random Forest Regression in R.mp4	42.3 MB
4. Random Forest Regression in R.vtt	25.7 KB
/
courseupload.com.webloc	0.2 KB
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