Machine Learning The Art of Digging Data | ABEB41C86067E50FD010A39D79DEBE6F0CCFC7FF

Machine Learning The Art of Digging Data

Name	Machine Learning The Art of Digging Data	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	3.5 GB
Total Files	163
Hash	ABEB41C86067E50FD010A39D79DEBE6F0CCFC7FF

/.../6. Data Preprocessing and Visualization/
5. Types of features and label encoding.mp4	127.7 MB
1. Entry to the Data Pre-processing.mp4	16.2 MB
1. Entry to the Data Pre-processing.vtt	1.0 KB
2. Downloading the Dataset.mp4	26.3 MB
2. Downloading the Dataset.vtt	3.8 KB
3. Importing libraries and data.mp4	50.0 MB
3. Importing libraries and data.vtt	5.0 KB
4. Types of data variable and cleaning the data.mp4	106.4 MB
4. Types of data variable and cleaning the data.vtt	9.6 KB
5. Types of features and label encoding.vtt	6.6 KB
6. OneHotEncoding using SkLearn.mp4	23.5 MB
6. OneHotEncoding using SkLearn.vtt	2.1 KB
7. Splitting the dataset.mp4	35.6 MB
7. Splitting the dataset.vtt	3.0 KB
8. Feature Scaling.mp4	34.2 MB
8. Feature Scaling.vtt	3.3 KB
9. Extracting data from Json File.mp4	20.5 MB
9. Extracting data from Json File.vtt	2.4 KB
10. Entry to Data Visualization.mp4	22.4 MB
10. Entry to Data Visualization.vtt	1.0 KB
11. Importance of Data Visualization.mp4	38.3 MB
11. Importance of Data Visualization.vtt	1.5 KB
12. Introduction to MatplotLib and Saeborn Libraries.mp4	42.9 MB
12. Introduction to MatplotLib and Saeborn Libraries.vtt	1.7 KB
13. Types of variables and Different Plots in Data Visualization.mp4	59.3 MB
13. Types of variables and Different Plots in Data Visualization.vtt	2.5 KB
14. Line Plot.mp4	65.8 MB
14. Line Plot.vtt	4.5 KB
15. Bar Chart.mp4	52.0 MB
15. Bar Chart.vtt	3.8 KB
16. Histogram Plot.mp4	42.7 MB
16. Histogram Plot.vtt	3.3 KB
17. Box Plot.mp4	50.0 MB
17. Box Plot.vtt	3.3 KB
18. scatter Plot.mp4	41.6 MB
18. scatter Plot.vtt	4.3 KB
19. Violin Plot.mp4	37.8 MB
19. Violin Plot.vtt	2.9 KB
20. Heat Map.mp4	40.5 MB
20. Heat Map.vtt	5.3 KB
21. Quiz 4.html	0.1 KB
/
Visit Coursedrive.net.url	0.1 KB
Course Downloaded from coursedrive.net.txt	0.4 KB
/Machine Learning The Art of Digging Data/
Course Downloaded from coursedrive.net.txt	0.4 KB
Visit Coursedrive.net.url	0.1 KB
/1. Introduction/
1. Introduction.mp4	63.6 MB
1. Introduction.vtt	3.5 KB
/2. Anaconda Installation/
1. Anaconda Installation.mp4	51.5 MB
1. Anaconda Installation.vtt	3.7 KB
2. A Tour of Anaconda.mp4	36.1 MB
2. A Tour of Anaconda.vtt	4.6 KB
/.../3. Python for Machine Learning/
1. Entry to the section.mp4	11.6 MB
1. Entry to the section.vtt	0.6 KB
2. Introduction to Basic Python Programming.mp4	40.4 MB
2. Introduction to Basic Python Programming.vtt	5.8 KB
3. Hands on to Basic Python Programming.mp4	66.1 MB
3. Hands on to Basic Python Programming.vtt	9.0 KB
4. Function.mp4	29.6 MB
4. Function.vtt	4.2 KB
5. String.mp4	48.3 MB
5. String.vtt	6.5 KB
6. Numpy.mp4	55.7 MB
6. Numpy.vtt	6.6 KB
7. Pandas.mp4	31.1 MB
7. Pandas.vtt	3.1 KB
8. MatplotLib.mp4	37.5 MB
8. MatplotLib.vtt	3.9 KB
9. Quiz 1.html	0.1 KB
/.../4. Introduction to Machine Learning/
1. entry to the Section.mp4	13.7 MB
1. entry to the Section.vtt	0.7 KB
2. Introduction to Machine Learning.mp4	85.3 MB
2. Introduction to Machine Learning.vtt	4.9 KB
3. Types of Machine Learning and Application.mp4	69.7 MB
3. Types of Machine Learning and Application.vtt	3.4 KB
4. Quiz 2.html	0.1 KB
/.../5. Journey to SkLearn/
1. Entry to the section.mp4	23.0 MB
1. Entry to the section.vtt	1.1 KB
2. Installation of SkLearn.mp4	21.9 MB
2. Installation of SkLearn.vtt	1.0 KB
3. SkLearn Algorithms for Supervised and Unsupervised learning.mp4	20.5 MB
3. SkLearn Algorithms for Supervised and Unsupervised learning.vtt	1.2 KB
4. Iris Data classification using SkLearn.mp4	62.5 MB
4. Iris Data classification using SkLearn.vtt	6.1 KB
5. Quiz 3.html	0.1 KB
/.../7. Regression Model and Model Validation/
1. Entry to the section.mp4	8.2 MB
1. Entry to the section.vtt	1.5 KB
2. Regression Analysis - Use and Assumptions.mp4	37.1 MB
2. Regression Analysis - Use and Assumptions.vtt	7.2 KB
3. Linear Regression.mp4	52.9 MB
3. Linear Regression.vtt	7.2 KB
4. Hands-on Linear Regression.mp4	60.9 MB
4. Hands-on Linear Regression.vtt	5.7 KB
5. Performance Evaluation Matrix of Regression Problem.mp4	48.4 MB
5. Performance Evaluation Matrix of Regression Problem.vtt	7.6 KB
6. Multiple Linear Regression and its Implementation.mp4	98.2 MB
6. Multiple Linear Regression and its Implementation.vtt	10.8 KB
7. Polynomial Regression.mp4	15.7 MB
7. Polynomial Regression.vtt	3.0 KB
8. Hands-on Polynomial Regression.mp4	42.5 MB
8. Hands-on Polynomial Regression.vtt	4.3 KB
9. Regression Splines.mp4	16.7 MB
9. Regression Splines.vtt	3.0 KB
10. Hands-on Regression splines.mp4	65.2 MB
10. Hands-on Regression splines.vtt	5.3 KB
11. Support Vector Regression.mp4	27.8 MB
11. Support Vector Regression.vtt	4.5 KB
12. Hands-on SVR.mp4	36.6 MB
12. Hands-on SVR.vtt	5.9 KB
13. Bias and Variance.mp4	55.3 MB
13. Bias and Variance.vtt	3.8 KB
14. Under-fitting And Over-fitting.mp4	76.5 MB
14. Under-fitting And Over-fitting.vtt	4.4 KB
15. Regularization.mp4	27.0 MB
15. Regularization.vtt	4.5 KB
16. Elastic net Regression.mp4	25.6 MB
16. Elastic net Regression.vtt	2.6 KB
17. Quiz 5.html	0.1 KB
/.../8. Classification Model and Tuning/
1. Entry to the section.mp4	12.1 MB
1. Entry to the section.vtt	0.6 KB
2. Classification Definition and Goals.mp4	11.3 MB
2. Classification Definition and Goals.vtt	2.6 KB
3. Difference between Classification and Regression.mp4	7.2 MB
3. Difference between Classification and Regression.vtt	1.6 KB
4. Logistic Regression.mp4	37.1 MB
4. Logistic Regression.vtt	6.0 KB
5. Hands-on Logistic Regression.mp4	107.1 MB
5. Hands-on Logistic Regression.vtt	11.9 KB
6. SVM.mp4	59.4 MB
6. SVM.vtt	9.7 KB
7. Hands-on SVM.mp4	63.9 MB
7. Hands-on SVM.vtt	7.9 KB
8. Implementing Kernel SVM with Python's Scikit-Learn.mp4	74.6 MB
8. Implementing Kernel SVM with Python's Scikit-Learn.vtt	7.4 KB
9. Random Forest.mp4	28.4 MB
9. Random Forest.vtt	4.8 KB
10. Hands-on Random Forest.mp4	42.4 MB
10. Hands-on Random Forest.vtt	4.2 KB
11. Stochastic Gradient Descent.mp4	9.7 MB
11. Stochastic Gradient Descent.vtt	1.6 KB
12. Hands-on Stochastic Gradient Descent.mp4	55.0 MB
12. Hands-on Stochastic Gradient Descent.vtt	5.8 KB
13. Naive Bayes.mp4	34.7 MB
13. Naive Bayes.vtt	5.6 KB
14. Hands-on Naive Bayes.mp4	85.1 MB
14. Hands-on Naive Bayes.vtt	7.8 KB
15. K-Nearest Neighbor.mp4	35.2 MB
15. K-Nearest Neighbor.vtt	4.9 KB
16. Hands-on K-Nearest Neighbor.mp4	84.3 MB
16. Hands-on K-Nearest Neighbor.vtt	8.7 KB
17. Quiz 6.html	0.1 KB
/.../9. Introduction to NLP/
1. NLP - Definition, Application, Corpus.mp4	53.6 MB
1. NLP - Definition, Application, Corpus.vtt	6.3 KB
2. Solving a Text Classification Problem - SMS Spam Collection Part 1.mp4	55.7 MB
2. Solving a Text Classification Problem - SMS Spam Collection Part 1.vtt	7.8 KB
3. Solving a Text Classification Problem - SMS Spam Collection Part 2.mp4	64.3 MB
3. Solving a Text Classification Problem - SMS Spam Collection Part 2.vtt	8.0 KB
4. Solving a Text Classification Problem - SMS Spam Collection Part 3.mp4	75.6 MB
4. Solving a Text Classification Problem - SMS Spam Collection Part 3.vtt	5.9 KB
5. Solving a Text Classification Problem - SMS Spam Collection Part 4.mp4	84.4 MB
5. Solving a Text Classification Problem - SMS Spam Collection Part 4.vtt	7.4 KB
6. Solving a Text Classification Problem - SMS Spam Collection Part 5.mp4	26.1 MB
6. Solving a Text Classification Problem - SMS Spam Collection Part 5.vtt	5.4 KB
7. Quiz 7.html	0.1 KB
Total files 163