Tutorialsplanet NET Udemy Machine Learning Hands On Python In Data Science

Tutorialsplanet NET Udemy Machine Learning Hands On Python In Data Science

Name	[Tutorialsplanet.NET] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science	DOWNLOAD Copy Link
Total Size	12.7 GB
Total Files	614
Hash	C225CB6CA2593207024728607AB8AF4E8B88F9A6

/1. Welcome to the course!/
1. Applications of Machine Learning.mp4	10.3 MB
1. Applications of Machine Learning.srt	5.4 KB
10. Installing R and R Studio (Mac, Linux & Windows).mp4	24.3 MB
10. Installing R and R Studio (Mac, Linux & Windows).srt	9.4 KB
11. BONUS Meet your instructors.html	1.1 KB
12. Some Additional Resources.html	0.6 KB
13. FAQBot!.html	3.1 KB
14. Your Shortcut To Becoming A Better Data Scientist!.html	3.8 KB
2. BONUS #1 Learning Paths.html	1.4 KB
3. BONUS #2 ML vs. DL vs. AI - What’s the Difference.html	0.5 KB
4. BONUS #3 Regression Types.html	0.5 KB
5. Why Machine Learning is the Future.mp4	15.2 MB
5. Why Machine Learning is the Future.srt	9.5 KB
6. Important notes, tips & tricks for this course.html	3.4 KB
7. This PDF resource will help you a lot!.html	1.5 KB
7.1 Machine_Learning_A_Z_Q_A.pdf	2.4 MB
8. GET ALL THE CODES AND DATASETS HERE!.html	1.9 KB
8.1 Machine Learning A-Z (Codes and Datasets).zip	5.5 MB
9. Presentation of the ML A-Z folder, Colaboratory, Jupyter Notebook and Spyder.mp4	99.4 MB
9. Presentation of the ML A-Z folder, Colaboratory, Jupyter Notebook and Spyder.srt	28.9 KB
/10. Decision Tree Regression/
1. Decision Tree Regression Intuition.mp4	26.6 MB
1. Decision Tree Regression Intuition.srt	17.5 KB
2. Make sure you have your Machine Learning A-Z folder ready.html	0.8 KB
2.1 Machine Learning A-Z (Codes and Datasets).zip	5.5 MB
3. Decision Tree Regression in Python - Step 1.mp4	44.5 MB
3. Decision Tree Regression in Python - Step 1.srt	13.6 KB
4. Decision Tree Regression in Python - Step 2.mp4	27.5 MB
4. Decision Tree Regression in Python - Step 2.srt	27.5 MB
5. Decision Tree Regression in Python - Step 3.mp4	20.4 MB
5. Decision Tree Regression in Python - Step 3.srt	5.0 KB
6. Decision Tree Regression in Python - Step 4.mp4	57.4 MB
6. Decision Tree Regression in Python - Step 4.srt	15.8 KB
7. Decision Tree Regression in R.mp4	59.0 MB
7. Decision Tree Regression in R.srt	32.9 KB
/11. Random Forest Regression/
1. Random Forest Regression Intuition.mp4	16.4 MB
1. Random Forest Regression Intuition.srt	10.5 KB
2. Make sure you have your Machine Learning A-Z folder ready.html	0.8 KB
2.1 Machine Learning A-Z (Codes and Datasets).zip	5.5 MB
3. Random Forest Regression in Python.mp4	78.0 MB
3. Random Forest Regression in Python.srt	21.6 KB
4. Random Forest Regression in R.mp4	54.4 MB
4. Random Forest Regression in R.srt	28.8 KB
/12. Evaluating Regression Models Performance/
1. R-Squared Intuition.mp4	10.3 MB
1. R-Squared Intuition.srt	7.3 KB
2. Adjusted R-Squared Intuition.mp4	22.5 MB
2. Adjusted R-Squared Intuition.srt	14.8 KB
/13. Regression Model Selection in Python/
1. Make sure you have this Model Selection folder ready.html	1.0 KB
1.1 Machine Learning A-Z (Model Selection).zip	163.9 KB
2. Preparation of the Regression Code Templates.mp4	129.6 MB
2. Preparation of the Regression Code Templates.srt	30.9 KB
3. THE ULTIMATE DEMO OF THE POWERFUL REGRESSION CODE TEMPLATES IN ACTION!.mp4	59.5 MB
3. THE ULTIMATE DEMO OF THE POWERFUL REGRESSION CODE TEMPLATES IN ACTION!.srt	13.9 KB
4. Conclusion of Part 2 - Regression.html	1.8 KB
4.1 Regression_Bonus.zip	373.2 KB
/14. Regression Model Selection in R/
1. Evaluating Regression Models Performance - Homework's Final Part.mp4	29.7 MB
1. Evaluating Regression Models Performance - Homework's Final Part.srt	13.2 KB
2. Interpreting Linear Regression Coefficients.mp4	28.7 MB
2. Interpreting Linear Regression Coefficients.srt	13.6 KB
3. Conclusion of Part 2 - Regression.html	1.8 KB
3.1 Regression_Bonus.zip	373.2 KB
/15. -------------------- Part 3 Classification --------------------/
1. Welcome to Part 3 - Classification.html	0.8 KB
/16. Logistic Regression/
1. Logistic Regression Intuition.mp4	30.6 MB
1. Logistic Regression Intuition.srt	24.5 KB
10. Logistic Regression in R - Step 1.mp4	16.5 MB
10. Logistic Regression in R - Step 1.srt	9.1 KB
11. Logistic Regression in R - Step 2.mp4	15.6 MB
11. Logistic Regression in R - Step 2.srt	4.5 KB
12. Logistic Regression in R - Step 3.mp4	28.8 MB
12. Logistic Regression in R - Step 3.srt	7.6 KB
13. Logistic Regression in R - Step 4.mp4	12.3 MB
13. Logistic Regression in R - Step 4.srt	4.1 KB
14. Warning - Update.html	1.4 KB
15. Logistic Regression in R - Step 5.mp4	98.3 MB
15. Logistic Regression in R - Step 5.srt	29.8 KB
16. R Classification Template.mp4	18.4 MB
16. R Classification Template.srt	6.9 KB
17. Machine Learning Regression and Classification BONUS.html	0.8 KB
18. Logistic Regression.html	0.1 KB
19. BONUS Logistic Regression Practical Case Study.html	0.6 KB
2. Make sure you have your Machine Learning A-Z folder ready.html	0.8 KB
2.1 Machine Learning A-Z (Codes and Datasets).zip	5.5 MB
3. Logistic Regression in Python - Step 1.mp4	46.8 MB
3. Logistic Regression in Python - Step 1.srt	14.8 KB
4. Logistic Regression in Python - Step 2.mp4	88.8 MB
4. Logistic Regression in Python - Step 2.srt	21.9 KB
5. Logistic Regression in Python - Step 3.mp4	45.1 MB
5. Logistic Regression in Python - Step 3.srt	11.1 KB
6. Logistic Regression in Python - Step 4.mp4	47.4 MB
6. Logistic Regression in Python - Step 4.srt	11.5 KB
7. Logistic Regression in Python - Step 5.mp4	32.1 MB
7. Logistic Regression in Python - Step 5.srt	9.7 KB
8. Logistic Regression in Python - Step 6.mp4	55.5 MB
8. Logistic Regression in Python - Step 6.srt	14.0 KB
9. Logistic Regression in Python - Step 7.mp4	124.4 MB
9. Logistic Regression in Python - Step 7.srt	23.1 KB
/17. K-Nearest Neighbors (K-NN)/
1. K-Nearest Neighbor Intuition.mp4	11.0 MB
1. K-Nearest Neighbor Intuition.srt	8.2 KB
2. Make sure you have your Machine Learning A-Z folder ready.html	0.8 KB
2.1 Machine Learning A-Z (Codes and Datasets).zip	5.5 MB
3. K-NN in Python.mp4	153.7 MB
3. K-NN in Python.srt	31.5 KB
4. K-NN in R.mp4	58.5 MB
4. K-NN in R.srt	23.9 KB
/18. Support Vector Machine (SVM)/
1. K-Nearest Neighbor.html	0.1 KB
2. SVM Intuition.mp4	20.9 MB
2. SVM Intuition.srt	16.1 KB
3. Make sure you have your Machine Learning A-Z folder ready.html	0.8 KB
3.1 Machine Learning A-Z (Codes and Datasets).zip	5.5 MB
4. SVM in Python.mp4	109.9 MB
4. SVM in Python.srt	33.8 MB
5. SVM in R.mp4	68.5 MB
5. SVM in R.srt	18.8 KB
5.1 SVM.zip	8.5 KB
/19. Kernel SVM/
1. Kernel SVM Intuition.mp4	6.7 MB
1. Kernel SVM Intuition.srt	4.5 KB
2. Mapping to a higher dimension.mp4	16.2 MB
2. Mapping to a higher dimension.srt	10.8 KB
3. The Kernel Trick.mp4	36.4 MB
3. The Kernel Trick.srt	16.9 KB
4. Types of Kernel Functions.mp4	16.5 MB
4. Types of Kernel Functions.srt	5.1 KB
5. Non-Linear Kernel SVR (Advanced).mp4	68.8 MB
5. Non-Linear Kernel SVR (Advanced).srt	16.4 KB
6. Make sure you have your Machine Learning A-Z folder ready.html	0.8 KB
6.1 Machine Learning A-Z (Codes and Datasets).zip	5.5 MB
7. Kernel SVM in Python.mp4	92.7 MB
7. Kernel SVM in Python.srt	20.9 KB
8. Kernel SVM in R.mp4	55.4 MB
8. Kernel SVM in R.srt	26.1 KB
/2. -------------------- Part 1 Data Preprocessing --------------------/
1. Welcome to Part 1 - Data Preprocessing.html	0.5 KB
/20. Naive Bayes/
1. Bayes Theorem.mp4	52.9 MB
1. Bayes Theorem.srt	35.3 KB
2. Naive Bayes Intuition.mp4	32.6 MB
2. Naive Bayes Intuition.srt	23.9 KB
3. Naive Bayes Intuition (Challenge Reveal).mp4	13.9 MB
3. Naive Bayes Intuition (Challenge Reveal).srt	9.7 KB
4. Naive Bayes Intuition (Extras).mp4	19.9 MB
4. Naive Bayes Intuition (Extras).srt	16.3 KB
5. Make sure you have your Machine Learning A-Z folder ready.html	0.8 KB
5.1 Machine Learning A-Z (Codes and Datasets).zip	5.5 MB
6. Naive Bayes in Python.mp4	105.3 MB
6. Naive Bayes in Python.srt	22.8 KB
7. Naive Bayes in R.mp4	52.2 MB
7. Naive Bayes in R.srt	86.3 MB
/21. Decision Tree Classification/
1. Decision Tree Classification Intuition.mp4	22.7 MB
1. Decision Tree Classification Intuition.srt	13.2 KB
2. Make sure you have your Machine Learning A-Z folder ready.html	0.8 KB
2.1 Machine Learning A-Z (Codes and Datasets).zip	5.5 MB
3. Decision Tree Classification in Python.mp4	113.3 MB
3. Decision Tree Classification in Python.srt	22.8 KB
4. Decision Tree Classification in R.mp4	71.5 MB
4. Decision Tree Classification in R.srt	29.8 KB
/22. Random Forest Classification/
1. Random Forest Classification Intuition.mp4	26.9 MB
1. Random Forest Classification Intuition.srt	7.2 KB
2. Make sure you have your Machine Learning A-Z folder ready.html	0.8 KB
2.1 Machine Learning A-Z (Codes and Datasets).zip	5.5 MB
3. Random Forest Classification in Python.mp4	101.4 MB
3. Random Forest Classification in Python.srt	149.4 MB
4. Random Forest Classification in R.mp4	67.2 MB
4. Random Forest Classification in R.srt	33.2 KB
/23. Classification Model Selection in Python/
1. Make sure you have this Model Selection folder ready.html	1.0 KB
1.1 Machine Learning A-Z (Model Selection).zip	163.9 KB
2. THE ULTIMATE DEMO OF THE POWERFUL CLASSIFICATION CODE TEMPLATES IN ACTION!.mp4	142.6 MB
2. THE ULTIMATE DEMO OF THE POWERFUL CLASSIFICATION CODE TEMPLATES IN ACTION!.srt	35.3 KB
/24. Evaluating Classification Models Performance/
1. False Positives & False Negatives.mp4	15.9 MB
1. False Positives & False Negatives.srt	11.6 KB
2. Confusion Matrix.mp4	9.3 MB
2. Confusion Matrix.srt	7.7 KB
3. Accuracy Paradox.mp4	4.4 MB
3. Accuracy Paradox.srt	3.3 KB
4. CAP Curve.mp4	21.3 MB
4. CAP Curve.srt	16.6 KB
5. CAP Curve Analysis.mp4	13.6 MB
5. CAP Curve Analysis.srt	9.5 KB
6. Conclusion of Part 3 - Classification.html	3.4 KB
6.1 Classification_Pros_Cons.pdf	30.0 KB
/25. -------------------- Part 4 Clustering --------------------/
1. Welcome to Part 4 - Clustering.html	0.7 KB
/26. K-Means Clustering/
1. K-Means Clustering Intuition.mp4	31.4 MB
1. K-Means Clustering Intuition.srt	23.9 KB
10. K-Means Clustering in R.mp4	38.7 MB
10. K-Means Clustering in R.srt	19.9 KB
2. K-Means Random Initialization Trap.mp4	16.1 MB
2. K-Means Random Initialization Trap.srt	13.3 KB
3. K-Means Selecting The Number Of Clusters.mp4	26.9 MB
3. K-Means Selecting The Number Of Clusters.srt	18.9 KB
4. Make sure you have your Machine Learning A-Z folder ready.html	0.8 KB
4.1 Machine Learning A-Z (Codes and Datasets).zip	5.5 MB
5. K-Means Clustering in Python - Step 1.mp4	39.9 MB
5. K-Means Clustering in Python - Step 1.srt	13.2 KB
6. K-Means Clustering in Python - Step 2.mp4	56.7 MB
6. K-Means Clustering in Python - Step 2.srt	175.4 MB
7. K-Means Clustering in Python - Step 3.mp4	85.3 MB
7. K-Means Clustering in Python - Step 3.srt	24.2 KB
8. K-Means Clustering in Python - Step 4.mp4	36.8 MB
8. K-Means Clustering in Python - Step 4.srt	9.6 KB
9. K-Means Clustering in Python - Step 5.mp4	126.4 MB
9. K-Means Clustering in Python - Step 5.srt	29.8 KB
/27. Hierarchical Clustering/
1. K-Means Clustering.html	0.1 KB
10. Hierarchical Clustering in R - Step 2.mp4	14.6 MB
10. Hierarchical Clustering in R - Step 2.srt	8.3 KB
11. Hierarchical Clustering in R - Step 3.mp4	10.4 MB
11. Hierarchical Clustering in R - Step 3.srt	4.8 KB
12. Hierarchical Clustering in R - Step 4.mp4	10.7 MB
12. Hierarchical Clustering in R - Step 4.srt	3.9 KB
13. Hierarchical Clustering in R - Step 5.mp4	14.3 MB
13. Hierarchical Clustering in R - Step 5.srt	4.1 KB
14. Hierarchical Clustering.html	0.1 KB
15. Conclusion of Part 4 - Clustering.html	0.5 KB
15.1 Clustering-Pros-Cons.pdf	26.4 KB
2. Hierarchical Clustering Intuition.mp4	17.3 MB
2. Hierarchical Clustering Intuition.srt	14.9 KB
3. Hierarchical Clustering How Dendrograms Work.mp4	18.3 MB
3. Hierarchical Clustering How Dendrograms Work.srt	14.7 KB
4. Hierarchical Clustering Using Dendrograms.mp4	23.9 MB
4. Hierarchical Clustering Using Dendrograms.srt	18.0 KB
5. Make sure you have your Machine Learning A-Z folder ready.html	0.8 KB
5.1 Machine Learning A-Z (Codes and Datasets).zip	5.5 MB
6. Hierarchical Clustering in Python - Step 1.mp4	42.2 MB
6. Hierarchical Clustering in Python - Step 1.srt	10.8 KB
7. Hierarchical Clustering in Python - Step 2.mp4	142.5 MB
7. Hierarchical Clustering in Python - Step 2.srt	26.8 KB
8. Hierarchical Clustering in Python - Step 3.mp4	78.9 MB
8. Hierarchical Clustering in Python - Step 3.srt	18.6 KB
9. Hierarchical Clustering in R - Step 1.mp4	9.0 MB
9. Hierarchical Clustering in R - Step 1.srt	9.0 MB
/28. -------------------- Part 5 Association Rule Learning --------------------/
1. Welcome to Part 5 - Association Rule Learning.html	0.4 KB
/29. Apriori/
1. Apriori Intuition.mp4	36.7 MB
1. Apriori Intuition.srt	26.5 KB
2. Make sure you have your Machine Learning A-Z folder ready.html	0.8 KB
2.1 Machine Learning A-Z (Codes and Datasets).zip	5.5 MB
3. Apriori in Python - Step 1.mp4	73.2 MB
3. Apriori in Python - Step 1.srt	14.6 KB
4. Apriori in Python - Step 2.mp4	112.9 MB
4. Apriori in Python - Step 2.srt	27.0 KB
5. Apriori in Python - Step 3.mp4	72.6 MB
5. Apriori in Python - Step 3.srt	19.7 KB
6. Apriori in Python - Step 4.mp4	172.3 MB
6. Apriori in Python - Step 4.srt	32.0 KB
7. Apriori in R - Step 1.mp4	55.4 MB
7. Apriori in R - Step 1.srt	31.8 KB
8. Apriori in R - Step 2.mp4	40.7 MB
8. Apriori in R - Step 2.srt	23.6 KB
9. Apriori in R - Step 3.mp4	59.3 MB
9. Apriori in R - Step 3.srt	31.9 KB
/3. Data Preprocessing in Python/
1. Make sure you have your Machine Learning A-Z folder ready.html	0.7 KB
1.1 Machine Learning A-Z (Codes and Datasets).zip	5.5 MB
2. Getting Started.mp4	57.0 MB
2. Getting Started.srt	17.1 KB
3. Importing the Libraries.mp4	16.7 MB
3. Importing the Libraries.srt	5.8 KB
4. Importing the Dataset.mp4	75.3 MB
4. Importing the Dataset.srt	24.7 KB
5. For Python learners, summary of Object-oriented programming classes & objects.html	1.5 KB
6. Taking care of Missing Data.mp4	72.4 MB
6. Taking care of Missing Data.srt	18.5 KB
7. Encoding Categorical Data.mp4	92.9 MB
7. Encoding Categorical Data.srt	22.5 KB
8. Splitting the dataset into the Training set and Test set.mp4	70.9 MB
8. Splitting the dataset into the Training set and Test set.srt	20.5 KB
9. Feature Scaling.mp4	106.7 MB
9. Feature Scaling.srt	31.0 KB
/30. Eclat/
1. Eclat Intuition.mp4	11.2 MB
1. Eclat Intuition.srt	8.3 KB
2. Make sure you have your Machine Learning A-Z folder ready.html	0.8 KB
2.1 Machine Learning A-Z (Codes and Datasets).zip	5.5 MB
3. Eclat in Python.mp4	79.2 MB
3. Eclat in Python.srt	19.3 KB
4. Eclat in R.mp4	26.5 MB
4. Eclat in R.srt	16.2 KB
4.1 Eclat.zip	49.7 KB
/31. -------------------- Part 6 Reinforcement Learning --------------------/
1. Welcome to Part 6 - Reinforcement Learning.html	1.6 KB
/32. Upper Confidence Bound (UCB)/
1. The Multi-Armed Bandit Problem.mp4	31.7 MB
1. The Multi-Armed Bandit Problem.srt	22.8 KB
10. Upper Confidence Bound in Python - Step 7.mp4	45.4 MB
10. Upper Confidence Bound in Python - Step 7.srt	11.9 KB
11. Upper Confidence Bound in R - Step 1.mp4	35.7 MB
11. Upper Confidence Bound in R - Step 1.srt	21.0 KB
12. Upper Confidence Bound in R - Step 2.mp4	35.8 MB
12. Upper Confidence Bound in R - Step 2.srt	22.7 KB
13. Upper Confidence Bound in R - Step 3.mp4	60.7 MB
13. Upper Confidence Bound in R - Step 3.srt	25.9 KB
14. Upper Confidence Bound in R - Step 4.mp4	10.0 MB
14. Upper Confidence Bound in R - Step 4.srt	4.5 KB
2. Upper Confidence Bound (UCB) Intuition.mp4	30.8 MB
2. Upper Confidence Bound (UCB) Intuition.srt	22.4 KB
3. Make sure you have your Machine Learning A-Z folder ready.html	0.8 KB
3.1 Machine Learning A-Z (Codes and Datasets).zip	5.5 MB
4. Upper Confidence Bound in Python - Step 1.mp4	61.6 MB
4. Upper Confidence Bound in Python - Step 1.srt	21.1 KB
5. Upper Confidence Bound in Python - Step 2.mp4	18.6 MB
5. Upper Confidence Bound in Python - Step 2.srt	6.5 KB
6. Upper Confidence Bound in Python - Step 3.mp4	40.3 MB
6. Upper Confidence Bound in Python - Step 3.srt	11.3 KB
7. Upper Confidence Bound in Python - Step 4.mp4	89.5 MB
7. Upper Confidence Bound in Python - Step 4.srt	25.7 KB
8. Upper Confidence Bound in Python - Step 5.mp4	34.0 MB
8. Upper Confidence Bound in Python - Step 5.srt	9.7 KB
9. Upper Confidence Bound in Python - Step 6.mp4	47.1 MB
9. Upper Confidence Bound in Python - Step 6.srt	11.5 KB
/33. Thompson Sampling/
1. Thompson Sampling Intuition.mp4	39.1 MB
1. Thompson Sampling Intuition.srt	28.2 KB
10. Thompson Sampling in R - Step 2.mp4	10.0 MB
10. Thompson Sampling in R - Step 2.srt	5.4 KB
2. Algorithm Comparison UCB vs Thompson Sampling.mp4	14.8 MB
2. Algorithm Comparison UCB vs Thompson Sampling.srt	11.4 KB
3. Make sure you have your Machine Learning A-Z folder ready.html	0.8 KB
3.1 Machine Learning A-Z (Codes and Datasets).zip	5.5 MB
4. Thompson Sampling in Python - Step 1.mp4	32.1 MB
4. Thompson Sampling in Python - Step 1.srt	10.0 KB
5. Thompson Sampling in Python - Step 2.mp4	73.4 MB
5. Thompson Sampling in Python - Step 2.srt	18.3 KB
6. Thompson Sampling in Python - Step 3.mp4	82.5 MB
6. Thompson Sampling in Python - Step 3.srt	21.0 KB
7. Thompson Sampling in Python - Step 4.mp4	46.8 MB
7. Thompson Sampling in Python - Step 4.srt	11.6 KB
8. Additional Resource for this Section.html	2.3 KB
9. Thompson Sampling in R - Step 1.mp4	53.5 MB
9. Thompson Sampling in R - Step 1.srt	28.5 KB
/34/
1. Welcome to Part 7 - Natural Language Processing.html	1.7 KB
10. Natural Language Processing in Python - Step 4.mp4	63.0 MB
10. Natural Language Processing in Python - Step 4.srt	17.2 KB
11. Natural Language Processing in Python - Step 5.mp4	94.0 MB
11. Natural Language Processing in Python - Step 5.srt	27.0 KB
12. Natural Language Processing in Python - Step 6.mp4	55.5 MB
12. Natural Language Processing in Python - Step 6.srt	15.4 KB
13. Natural Language Processing in Python - BONUS.html	1.1 KB
14. Homework Challenge.html	1.4 KB
15. Natural Language Processing in R - Step 1.mp4	53.7 MB
15. Natural Language Processing in R - Step 1.srt	24.6 KB
16. Natural Language Processing in R - Step 2.mp4	22.7 MB
16. Natural Language Processing in R - Step 2.srt	13.2 KB
17. Natural Language Processing in R - Step 3.mp4	17.7 MB
17. Natural Language Processing in R - Step 3.srt	10.4 KB
18. Natural Language Processing in R - Step 4.mp4	8.6 MB
18. Natural Language Processing in R - Step 4.srt	4.8 KB
19. Natural Language Processing in R - Step 5.mp4	6.1 MB
19. Natural Language Processing in R - Step 5.srt	3.3 KB
2. NLP Intuition.mp4	13.3 MB
2. NLP Intuition.srt	4.7 KB
20. Natural Language Processing in R - Step 6.mp4	16.9 MB
20. Natural Language Processing in R - Step 6.srt	8.6 KB
21. Natural Language Processing in R - Step 7.mp4	10.1 MB
21. Natural Language Processing in R - Step 7.srt	5.7 KB
22. Natural Language Processing in R - Step 8.mp4	18.1 MB
22. Natural Language Processing in R - Step 8.srt	8.2 KB
23. Natural Language Processing in R - Step 9.mp4	39.5 MB
23. Natural Language Processing in R - Step 9.srt	20.1 KB
24. Natural Language Processing in R - Step 10.mp4	56.8 MB
24. Natural Language Processing in R - Step 10.srt	26.9 KB
25. Homework Challenge.html	1.4 KB
26. BONUS NLP BERT.html	0.9 KB
3. Types of Natural Language Processing.mp4	23.6 MB
3. Types of Natural Language Processing.srt	6.1 KB
4. Classical vs Deep Learning Models.mp4	88.0 MB
4. Classical vs Deep Learning Models.srt	16.5 KB
5. Bag-Of-Words Model.mp4	108.5 MB
5. Bag-Of-Words Model.srt	29.0 KB
6. Make sure you have your Machine Learning A-Z folder ready.html	0.8 KB
6.1 Machine Learning A-Z (Codes and Datasets).zip	5.5 MB
7. Natural Language Processing in Python - Step 1.mp4	35.7 MB
7. Natural Language Processing in Python - Step 1.srt	11.4 KB
8. Natural Language Processing in Python - Step 2.mp4	42.4 MB
8. Natural Language Processing in Python - Step 2.srt	11.0 KB
9. Natural Language Processing in Python - Step 3.mp4	63.5 MB
9. Natural Language Processing in Python - Step 3.srt	19.6 KB
/35. -------------------- 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.srt	18.6 KB
/36. Artificial Neural Networks/
1. Plan of attack.mp4	5.0 MB
1. Plan of attack.srt	4.1 KB
10. Make sure you have your Machine Learning A-Z folder ready.html	0.8 KB
10.1 Machine Learning A-Z (Codes and Datasets).zip	5.5 MB
11. ANN in Python - Step 1.mp4	69.7 MB
11. ANN in Python - Step 1.srt	17.8 KB
12. Check out our free course on ANN for Regression.html	0.5 KB
13. ANN in Python - Step 2.mp4	116.4 MB
13. ANN in Python - Step 2.srt	31.7 KB
14. ANN in Python - Step 3.mp4	78.7 MB
14. ANN in Python - Step 3.srt	24.0 KB
15. ANN in Python - Step 4.mp4	68.5 MB
15. ANN in Python - Step 4.srt	20.7 KB
16. ANN in Python - Step 5.mp4	106.3 MB
16. ANN in Python - Step 5.srt	26.4 KB
17. ANN in R - Step 1.mp4	52.3 MB
17. ANN in R - Step 1.srt	27.4 KB
18. ANN in R - Step 2.mp4	19.1 MB
18. ANN in R - Step 2.srt	10.4 KB
19. ANN in R - Step 3.mp4	39.7 MB
19. ANN in R - Step 3.srt	19.3 KB
2. The Neuron.mp4	31.3 MB
2. The Neuron.srt	25.6 KB
20. ANN in R - Step 4 (Last step).mp4	45.9 MB
20. ANN in R - Step 4 (Last step).srt	21.2 KB
21. Deep Learning BONUS #1.html	1.0 KB
22. BONUS ANN Case Study.html	0.5 KB
3. The Activation Function.mp4	15.5 MB
3. The Activation Function.srt	12.3 KB
4. How do Neural Networks work.mp4	24.7 MB
4. How do Neural Networks work.srt	19.6 KB
5. How do Neural Networks learn.mp4	27.9 MB
5. How do Neural Networks learn.srt	19.4 KB
6. Gradient Descent.mp4	19.4 MB
6. Gradient Descent.srt	14.4 KB
7. Stochastic Gradient Descent.mp4	17.6 MB
7. Stochastic Gradient Descent.srt	12.4 KB
8. Backpropagation.mp4	11.5 MB
8. Backpropagation.srt	7.3 KB
9. Business Problem Description.mp4	30.7 MB
9. Business Problem Description.srt	7.5 KB
/37. Convolutional Neural Networks/
1. Plan of attack.mp4	6.2 MB
1. Plan of attack.srt	5.4 KB
10. Make sure you have your dataset ready.html	0.8 KB
10.1 Section 40 - Convolutional Neural Networks (CNN).zip	234.9 MB
11. CNN in Python - Step 1.mp4	74.2 MB
11. CNN in Python - Step 1.srt	18.7 KB
12. CNN in Python - Step 2.mp4	112.1 MB
12. CNN in Python - Step 2.srt	29.7 KB
13. CNN in Python - Step 3.mp4	124.3 MB
13. CNN in Python - Step 3.srt	29.6 KB
14. CNN in Python - Step 4.mp4	42.0 MB
14. CNN in Python - Step 4.srt	11.7 KB
15. CNN in Python - Step 5.mp4	102.4 MB
15. CNN in Python - Step 5.srt	23.0 KB
16. CNN in Python - FINAL DEMO!.mp4	160.2 MB
16. CNN in Python - FINAL DEMO!.srt	39.7 KB
17. Deep Learning BONUS #2.html	0.9 KB
2. What are convolutional neural networks.mp4	30.9 MB
2. What are convolutional neural networks.srt	22.6 KB
3. Step 1 - Convolution Operation.mp4	32.5 MB
3. Step 1 - Convolution Operation.srt	23.8 KB
4. Step 1(b) - ReLU Layer.mp4	14.8 MB
4. Step 1(b) - ReLU Layer.srt	9.4 KB
5. Step 2 - Pooling.mp4	42.2 MB
5. Step 2 - Pooling.srt	21.5 KB
6. Step 3 - Flattening.mp4	3.4 MB
6. Step 3 - Flattening.srt	2.6 KB
7. Step 4 - Full Connection.mp4	44.8 MB
7. Step 4 - Full Connection.srt	29.3 KB
8. Summary.mp4	8.3 MB
8. Summary.srt	6.2 KB
9. Softmax & Cross-Entropy.mp4	34.9 MB
9. Softmax & Cross-Entropy.srt	25.9 KB
/38. -------------------- Part 9 Dimensionality Reduction --------------------/
1. Welcome to Part 9 - Dimensionality Reduction.html	1.3 KB
/39. Principal Component Analysis (PCA)/
1. Principal Component Analysis (PCA) Intuition.mp4	33.7 MB
1. Principal Component Analysis (PCA) Intuition.srt	5.2 KB
2. Make sure you have your Machine Learning A-Z folder ready.html	0.8 KB
2.1 Machine Learning A-Z (Codes and Datasets).zip	5.5 MB
3. PCA in Python - Step 1.mp4	118.4 MB
3. PCA in Python - Step 1.srt	27.1 KB
4. PCA in Python - Step 2.mp4	42.8 MB
4. PCA in Python - Step 2.srt	9.4 KB
5. PCA in R - Step 1.mp4	32.1 MB
5. PCA in R - Step 1.srt	19.1 KB
6. PCA in R - Step 2.mp4	30.4 MB
6. PCA in R - Step 2.srt	17.3 KB
7. PCA in R - Step 3.mp4	38.5 MB
7. PCA in R - Step 3.srt	20.2 KB
/4. Data Preprocessing in R/
1. Welcome.html	0.6 KB
10. Data Preprocessing Template.mp4	53.2 MB
10. Data Preprocessing Template.srt	8.5 KB
2. Getting Started.mp4	10.3 MB
2. Getting Started.srt	2.5 KB
3. Make sure you have your dataset ready.html	0.5 KB
4. Dataset Description.mp4	12.4 MB
4. Dataset Description.srt	3.3 KB
5. Importing the Dataset.mp4	17.2 MB
5. Importing the Dataset.srt	4.6 KB
6. Taking care of Missing Data.mp4	41.7 MB
6. Taking care of Missing Data.srt	9.3 KB
7. Encoding Categorical Data.mp4	60.1 MB
7. Encoding Categorical Data.srt	8.7 KB
8. Splitting the dataset into the Training set and Test set.mp4	90.7 MB
8. Splitting the dataset into the Training set and Test set.srt	15.2 KB
9. Feature Scaling.mp4	82.7 MB
9. Feature Scaling.srt	13.4 KB
/40. Linear Discriminant Analysis (LDA)/
1. Linear Discriminant Analysis (LDA) Intuition.mp4	28.3 MB
1. Linear Discriminant Analysis (LDA) Intuition.srt	5.2 KB
2. Make sure you have your Machine Learning A-Z folder ready.html	0.8 KB
2.1 Machine Learning A-Z (Codes and Datasets).zip	5.5 MB
3. LDA in Python.mp4	107.0 MB
3. LDA in Python.srt	24.0 KB
4. LDA in R.mp4	53.8 MB
4. LDA in R.srt	30.4 KB
/41. Kernel PCA/
1. Make sure you have your Machine Learning A-Z folder ready.html	0.8 KB
1.1 Machine Learning A-Z (Codes and Datasets).zip	5.5 MB
2. Kernel PCA in Python.mp4	81.3 MB
2. Kernel PCA in Python.srt	17.9 KB
3. Kernel PCA in R.mp4	59.3 MB
3. Kernel PCA in R.srt	31.5 KB
/42/
1. Welcome to Part 10 - Model Selection & Boosting.html	0.9 KB
/43. Model Selection/
1. Make sure you have your Machine Learning A-Z folder ready.html	0.8 KB
1.1 Machine Learning A-Z (Codes and Datasets).zip	5.5 MB
2. k-Fold Cross Validation in Python.mp4	117.8 MB
2. k-Fold Cross Validation in Python.srt	29.3 KB
3. Grid Search in Python.mp4	159.2 MB
3. Grid Search in Python.srt	35.4 KB
4. k-Fold Cross Validation in R.mp4	45.8 MB
4. k-Fold Cross Validation in R.srt	28.6 KB
5. Grid Search in R.mp4	37.3 MB
5. Grid Search in R.srt	21.4 KB
/44. XGBoost/
1. Make sure you have your Machine Learning A-Z folder ready.html	0.8 KB
1.1 Machine Learning A-Z (Codes and Datasets).zip	5.5 MB
2. XGBoost in Python.mp4	94.4 MB
2. XGBoost in Python.srt	23.6 KB
3. Model Selection and Boosting BONUS.html	1.2 KB
4. XGBoost in R.mp4	49.6 MB
4. XGBoost in R.srt	26.6 KB
5. THANK YOU Bonus Video.mp4	54.8 MB
5. THANK YOU Bonus Video.srt	2.4 KB
/45. Bonus Lectures/
1. YOUR SPECIAL BONUS.html	4.8 KB
/5. -------------------- Part 2 Regression --------------------/
1. Welcome to Part 2 - Regression.html	0.9 KB
/6. Simple Linear Regression/
1. Simple Linear Regression Intuition - Step 1.mp4	11.0 MB
1. Simple Linear Regression Intuition - Step 1.srt	8.5 KB
10. Simple Linear Regression in R - Step 2.mp4	26.1 MB
10. Simple Linear Regression in R - Step 2.srt	23.5 MB
11. Simple Linear Regression in R - Step 3.mp4	12.0 MB
11. Simple Linear Regression in R - Step 3.srt	5.6 KB
12. Simple Linear Regression in R - Step 4.mp4	51.5 MB
12. Simple Linear Regression in R - Step 4.srt	24.5 KB
13. Simple Linear Regression.html	0.1 KB
2. Simple Linear Regression Intuition - Step 2.mp4	6.3 MB
2. Simple Linear Regression Intuition - Step 2.srt	4.4 KB
3. Make sure you have your Machine Learning A-Z folder ready.html	0.8 KB
3.1 Machine Learning A-Z (Codes and Datasets).zip	5.5 MB
4. Simple Linear Regression in Python - Step 1.mp4	51.0 MB
4. Simple Linear Regression in Python - Step 1.srt	20.2 KB
5. Simple Linear Regression in Python - Step 2.mp4	41.8 MB
5. Simple Linear Regression in Python - Step 2.srt	12.1 KB
6. Simple Linear Regression in Python - Step 3.mp4	29.6 MB
6. Simple Linear Regression in Python - Step 3.srt	7.5 KB
7. Simple Linear Regression in Python - Step 4.mp4	78.2 MB
7. Simple Linear Regression in Python - Step 4.srt	19.9 KB
8. Simple Linear Regression in Python - BONUS.html	1.1 KB
9. Simple Linear Regression in R - Step 1.mp4	12.1 MB
9. Simple Linear Regression in R - Step 1.srt	7.9 KB
/7. Multiple Linear Regression/
1. Dataset + Business Problem Description.mp4	13.2 MB
1. Dataset + Business Problem Description.srt	5.8 KB
10. Multiple Linear Regression in Python - Step 2.mp4	65.4 MB
10. Multiple Linear Regression in Python - Step 2.srt	15.2 KB
11. Multiple Linear Regression in Python - Step 3.mp4	61.0 MB
11. Multiple Linear Regression in Python - Step 3.srt	17.0 KB
12. Multiple Linear Regression in Python - Step 4.mp4	76.0 MB
12. Multiple Linear Regression in Python - Step 4.srt	20.5 KB
13. Multiple Linear Regression in Python - Backward Elimination.html	3.6 KB
14. Multiple Linear Regression in Python - BONUS.html	1.2 KB
15. Multiple Linear Regression in R - Step 1.mp4	24.6 MB
15. Multiple Linear Regression in R - Step 1.srt	12.1 KB
16. Multiple Linear Regression in R - Step 2.mp4	47.4 MB
16. Multiple Linear Regression in R - Step 2.srt	15.8 KB
17. Multiple Linear Regression in R - Step 3.mp4	14.5 MB
17. Multiple Linear Regression in R - Step 3.srt	7.2 KB
18. Multiple Linear Regression in R - Backward Elimination - HOMEWORK !.mp4	53.3 MB
18. Multiple Linear Regression in R - Backward Elimination - HOMEWORK !.srt	28.1 KB
19. Multiple Linear Regression in R - Backward Elimination - Homework Solution.mp4	23.0 MB
19. Multiple Linear Regression in R - Backward Elimination - Homework Solution.srt	12.1 KB
2. Multiple Linear Regression Intuition - Step 1.mp4	2.1 MB
2. Multiple Linear Regression Intuition - Step 1.srt	1.6 KB
20. Multiple Linear Regression in R - Automatic Backward Elimination.html	0.7 KB
21. Multiple Linear Regression.html	0.1 KB
3. Multiple Linear Regression Intuition - Step 2.mp4	2.1 MB
3. Multiple Linear Regression Intuition - Step 2.srt	1.5 KB
4. Multiple Linear Regression Intuition - Step 3.mp4	17.4 MB
4. Multiple Linear Regression Intuition - Step 3.srt	11.0 KB
5. Multiple Linear Regression Intuition - Step 4.mp4	5.6 MB
5. Multiple Linear Regression Intuition - Step 4.srt	3.6 KB
6. Understanding the P-Value.mp4	59.2 MB
6. Understanding the P-Value.srt	20.0 KB
7. Multiple Linear Regression Intuition - Step 5.mp4	34.4 MB
7. Multiple Linear Regression Intuition - Step 5.srt	24.1 KB
8. Make sure you have your Machine Learning A-Z folder ready.html	0.8 KB
8.1 Machine Learning A-Z (Codes and Datasets).zip	5.5 MB
9. Multiple Linear Regression in Python - Step 1.mp4	53.4 MB
9. Multiple Linear Regression in Python - Step 1.srt	13.5 KB
/8. Polynomial Regression/
1. Polynomial Regression Intuition.mp4	9.9 MB
1. Polynomial Regression Intuition.srt	8.0 KB
10. Polynomial Regression in R - Step 4.mp4	29.9 MB
10. Polynomial Regression in R - Step 4.srt	15.8 KB
11. R Regression Template.mp4	32.9 MB
11. R Regression Template.srt	19.1 KB
2. Make sure you have your Machine Learning A-Z folder ready.html	0.8 KB
2.1 Machine Learning A-Z (Codes and Datasets).zip	5.5 MB
3. Polynomial Regression in Python - Step 1.mp4	61.1 MB
3. Polynomial Regression in Python - Step 1.srt	21.3 KB
4. Polynomial Regression in Python - Step 2.mp4	72.7 MB
4. Polynomial Regression in Python - Step 2.srt	18.0 KB
5. Polynomial Regression in Python - Step 3.mp4	81.6 MB
5. Polynomial Regression in Python - Step 3.srt	20.4 KB
6. Polynomial Regression in Python - Step 4.mp4	40.7 MB
6. Polynomial Regression in Python - Step 4.srt	12.6 KB
7. Polynomial Regression in R - Step 1.mp4	22.2 MB
7. Polynomial Regression in R - Step 1.srt	14.5 KB
8. Polynomial Regression in R - Step 2.mp4	33.9 MB
8. Polynomial Regression in R - Step 2.srt	15.6 KB
9. Polynomial Regression in R - Step 3.mp4	57.5 MB
9. Polynomial Regression in R - Step 3.srt	31.6 KB
/9. Support Vector Regression (SVR)/
1. SVR Intuition (Updated!).mp4	38.6 MB
1. SVR Intuition (Updated!).srt	11.9 KB
2. Heads-up on non-linear SVR.mp4	20.7 MB
2. Heads-up on non-linear SVR.srt	6.1 KB
3. Make sure you have your Machine Learning A-Z folder ready.html	0.8 KB
3.1 Machine Learning A-Z (Codes and Datasets).zip	5.5 MB
4. SVR in Python - Step 1.mp4	44.6 MB
4. SVR in Python - Step 1.srt	14.3 KB
5. SVR in Python - Step 2.mp4	91.1 MB
5. SVR in Python - Step 2.srt	22.7 KB
6. SVR in Python - Step 3.mp4	36.5 MB
6. SVR in Python - Step 3.srt	9.9 KB
7. SVR in Python - Step 4.mp4	48.5 MB
7. SVR in Python - Step 4.srt	12.1 KB
8. SVR in Python - Step 5.mp4	98.2 MB
8. SVR in Python - Step 5.srt	22.8 KB
9. SVR in R.mp4	35.4 MB
9. SVR in R.srt	19.1 KB
/
[Tutorialsplanet.NET].url	0.1 KB
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