TorBT - Torrents and Magnet Links Search Engine
Latest Searches: mizukawa sumire, styx%2f, beverly hills cop axel, 安卓, super+mario+galaxy, aiarty image enhancer, shiranai, jagga jasoos, 1883, [julyjailbait]

[FreeCourseSite.com] Udemy - Machine Learning using Python

Magnet Download Download Torrent
File Name
Size
0. Websites you may like/[CourseClub.Me].url
122 B
0. Websites you may like/[FreeCourseSite.com].url
127 B
0. Websites you may like/[GigaCourse.Com].url
49 B
1. Setting up Python and Jupyter notebook/1. Installing Python and Anaconda.mp4
18 MB
1. Setting up Python and Jupyter notebook/1. Installing Python and Anaconda.srt
2.7 kB
1. Setting up Python and Jupyter notebook/10. Working with Seaborn Library of Python.mp4
40 MB
1. Setting up Python and Jupyter notebook/10. Working with Seaborn Library of Python.srt
9.1 kB
1. Setting up Python and Jupyter notebook/2. This is a Milestone!.mp4
21 MB
1. Setting up Python and Jupyter notebook/2. This is a Milestone!.srt
3.9 kB
1. Setting up Python and Jupyter notebook/3. Opening Jupyter Notebook.mp4
68 MB
1. Setting up Python and Jupyter notebook/3. Opening Jupyter Notebook.srt
10 kB
1. Setting up Python and Jupyter notebook/4. Introduction to Jupyter.mp4
44 MB
1. Setting up Python and Jupyter notebook/4. Introduction to Jupyter.srt
16 kB
1. Setting up Python and Jupyter notebook/5. Arithmetic operators in Python Python Basics.mp4
14 MB
1. Setting up Python and Jupyter notebook/5. Arithmetic operators in Python Python Basics.srt
4.6 kB
1. Setting up Python and Jupyter notebook/6. Strings in Python Python Basics.mp4
68 MB
1. Setting up Python and Jupyter notebook/6. Strings in Python Python Basics.srt
19 kB
1. Setting up Python and Jupyter notebook/7. Lists, Tuples and Directories Python Basics.mp4
63 MB
1. Setting up Python and Jupyter notebook/7. Lists, Tuples and Directories Python Basics.srt
22 kB
1. Setting up Python and Jupyter notebook/8. Working with Numpy Library of Python.mp4
46 MB
1. Setting up Python and Jupyter notebook/8. Working with Numpy Library of Python.srt
13 kB
1. Setting up Python and Jupyter notebook/9. Working with Pandas Library of Python.mp4
51 MB
1. Setting up Python and Jupyter notebook/9. Working with Pandas Library of Python.srt
10 kB
10. Comparing results from 3 models/1. Understanding the results of classification models.mp4
42 MB
10. Comparing results from 3 models/2. Summary of the three models.mp4
22 MB
11. Simple Decision Trees/1. Introduction to Decision trees.mp4
45 MB
11. Simple Decision Trees/10. Creating Decision tree in Python.mp4
21 MB
11. Simple Decision Trees/11. Evaluating model performance in Python.mp4
18 MB
11. Simple Decision Trees/12. Plotting decision tree in Python.mp4
27 MB
11. Simple Decision Trees/13. Pruning a tree.mp4
25 MB
11. Simple Decision Trees/14. Pruning a tree in Python.mp4
25 MB
11. Simple Decision Trees/2. Basics of Decision Trees.mp4
59 MB
11. Simple Decision Trees/3. Understanding a Regression Tree.mp4
61 MB
11. Simple Decision Trees/4. The stopping criteria for controlling tree growth.mp4
19 MB
11. Simple Decision Trees/5. Importing the Data set into Python.mp4
16 MB
11. Simple Decision Trees/6. Missing value treatment in Python.mp4
13 MB
11. Simple Decision Trees/7. Dummy Variable Creation in Python.mp4
25 MB
11. Simple Decision Trees/8. Dependent- Independent Data split in Python.mp4
17 MB
11. Simple Decision Trees/9. Test-Train split in Python.mp4
26 MB
12. Simple Classification Tree/1. Classification tree.mp4
40 MB
12. Simple Classification Tree/2. The Data set for Classification problem.mp4
21 MB
12. Simple Classification Tree/3. Classification tree in Python Preprocessing.mp4
54 MB
12. Simple Classification Tree/4. Classification tree in Python Training.mp4
100 MB
12. Simple Classification Tree/5. Advantages and Disadvantages of Decision Trees.mp4
10 MB
13. Ensemble technique 1 - Bagging/1. Ensemble technique 1 - Bagging.mp4
39 MB
13. Ensemble technique 1 - Bagging/2. Ensemble technique 1 - Bagging in Python.mp4
97 MB
14. Ensemble technique 2 - Random Forests/1. Ensemble technique 2 - Random Forests.mp4
26 MB
14. Ensemble technique 2 - Random Forests/2. Ensemble technique 2 - Random Forests in Python.mp4
55 MB
14. Ensemble technique 2 - Random Forests/3. Using Grid Search in Python.mp4
92 MB
15. Ensemble technique 3 - Boosting/1. Boosting.mp4
41 MB
15. Ensemble technique 3 - Boosting/2. Ensemble technique 3a - Boosting in Python.mp4
40 MB
15. Ensemble technique 3 - Boosting/3. Ensemble technique 3b - AdaBoost in Python.mp4
30 MB
15. Ensemble technique 3 - Boosting/4. Ensemble technique 3c - XGBoost in Python.mp4
75 MB
16. Support Vector Machines/1. Introduction to SVM's.mp4
22 MB
16. Support Vector Machines/2. The Concept of a Hyperplane.mp4
40 MB
16. Support Vector Machines/3. Maximum Margin Classifier.mp4
31 MB
16. Support Vector Machines/4. Limitations of Maximum Margin Classifier.mp4
14 MB
17. Support Vector classifiers/1. Support Vector classifiers.mp4
74 MB
17. Support Vector classifiers/2. Limitations of Support Vector Classifiers.mp4
16 MB
18. Support Vector Machines/1. Kernel Based Support Vector Machines.mp4
53 MB
19. Creating Support Vector Machine Model in Python/1. Regression and Classification Models.mp4
4.7 MB
19. Creating Support Vector Machine Model in Python/10. Radial Kernel with Hyperparameter Tuning.mp4
44 MB
19. Creating Support Vector Machine Model in Python/2. Importing and preprocessing data in Python.mp4
26 MB
19. Creating Support Vector Machine Model in Python/3. Standardizing the data.mp4
42 MB
19. Creating Support Vector Machine Model in Python/4. SVM based Regression Model in Python.mp4
74 MB
19. Creating Support Vector Machine Model in Python/5. Classification model - Preprocessing.mp4
54 MB
19. Creating Support Vector Machine Model in Python/6. Classification model - Standardizing the data.mp4
11 MB
19. Creating Support Vector Machine Model in Python/7. SVM Based classification model.mp4
73 MB
19. Creating Support Vector Machine Model in Python/8. Hyper Parameter Tuning.mp4
68 MB
19. Creating Support Vector Machine Model in Python/9. Polynomial Kernel with Hyperparameter Tuning.mp4
26 MB
2. Basics of statistics/1. Types of Data.mp4
23 MB
2. Basics of statistics/1. Types of Data.srt
5.2 kB
2. Basics of statistics/2. Types of Statistics.mp4
12 MB
2. Basics of statistics/2. Types of Statistics.srt
3.3 kB
2. Basics of statistics/3. Describing data Graphically.mp4
76 MB
2. Basics of statistics/3. Describing data Graphically.srt
13 kB
2. Basics of statistics/4. Measures of Centers.mp4
43 MB
2. Basics of statistics/4. Measures of Centers.srt
8.1 kB
2. Basics of statistics/5. Measures of Dispersion.mp4
26 MB
2. Basics of statistics/5. Measures of Dispersion.srt
5.3 kB
20. Time Series Analysis and Forecasting/1. Introduction.mp4
19 MB
20. Time Series Analysis and Forecasting/2. Time Series Forecasting - Use cases.mp4
31 MB
20. Time Series Analysis and Forecasting/3. Forecasting model creation - Steps.mp4
12 MB
20. Time Series Analysis and Forecasting/4. Forecasting model creation - Steps 1 (Goal).mp4
46 MB
20. Time Series Analysis and Forecasting/5. Time Series - Basic Notations.mp4
79 MB
21. Time Series - Preprocessing in Pyhton/1. Data Loading in Python.mp4
135 MB
21. Time Series - Preprocessing in Pyhton/10. Exponential Smoothing.mp4
11 MB
21. Time Series - Preprocessing in Pyhton/2. Time Series - Visualization Basics.mp4
80 MB
21. Time Series - Preprocessing in Pyhton/3. Time Series - Visualization in Python.mp4
208 MB
21. Time Series - Preprocessing in Pyhton/4. Time Series - Feature Engineering Basics.mp4
77 MB
21. Time Series - Preprocessing in Pyhton/5. Time Series - Feature Engineering in Python.mp4
142 MB
21. Time Series - Preprocessing in Pyhton/6. Time Series - Upsampling and Downsampling.mp4
23 MB
21. Time Series - Preprocessing in Pyhton/7. Time Series - Upsampling and Downsampling in Python.mp4
124 MB
21. Time Series - Preprocessing in Pyhton/8. Time Series - Power Transformation.mp4
19 MB
21. Time Series - Preprocessing in Pyhton/9. Moving Average.mp4
50 MB
22. Time Series - Important Concepts/1. White Noise.mp4
15 MB
22. Time Series - Important Concepts/2. Random Walk.mp4
28 MB
22. Time Series - Important Concepts/3. Decomposing Time Series in Python.mp4
79 MB
22. Time Series - Important Concepts/4. Differencing.mp4
44 MB
22. Time Series - Important Concepts/5. Differencing in Python.mp4
141 MB
23. Time Series - Implementation in Python/1. Test Train Split in Python.mp4
77 MB
23. Time Series - Implementation in Python/2. Naive (Persistence) model in Python.mp4
57 MB
23. Time Series - Implementation in Python/3. Auto Regression Model - Basics.mp4
21 MB
23. Time Series - Implementation in Python/4. Auto Regression Model creation in Python.mp4
68 MB
23. Time Series - Implementation in Python/5. Auto Regression with Walk Forward validation in Python.mp4
62 MB
23. Time Series - Implementation in Python/6. Moving Average model -Basics.mp4
32 MB
23. Time Series - Implementation in Python/7. Moving Average model in Python.mp4
64 MB
24. Time Series - ARIMA model/1. ACF and PACF.mp4
53 MB
24. Time Series - ARIMA model/2. ARIMA model - Basics.mp4
26 MB
24. Time Series - ARIMA model/3. ARIMA model in Python.mp4
85 MB
24. Time Series - ARIMA model/4. ARIMA model with Walk Forward Validation in Python.mp4
36 MB
25. Time Series - SARIMA model/1. SARIMA model.mp4
40 MB
25. Time Series - SARIMA model/2. SARIMA model in Python.mp4
75 MB
25. Time Series - SARIMA model/3. Stationary time Series.mp4
5.7 MB
25. Time Series - SARIMA model/4. The final milestone!.mp4
12 MB
26. Congratulations & about your certificate/1. Bonus Lecture.html
2.3 kB
3. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4
113 MB
3. Introduction to Machine Learning/1. Introduction to Machine Learning.srt
19 kB
3. Introduction to Machine Learning/2. Building a Machine Learning Model.mp4
41 MB
3. Introduction to Machine Learning/2. Building a Machine Learning Model.srt
10 kB
4. Data Preprocessing/1. Gathering Business Knowledge.mp4
17 MB
4. Data Preprocessing/1. Gathering Business Knowledge.srt
3.8 kB
4. Data Preprocessing/10. Missing Value Imputation in Python.mp4
33 MB
4. Data Preprocessing/10. Missing Value Imputation in Python.srt
4.7 kB
4. Data Preprocessing/11. Seasonality in Data.mp4
17 MB
4. Data Preprocessing/11. Seasonality in Data.srt
4.1 kB
4. Data Preprocessing/12. Bi-variate analysis and Variable transformation.mp4
100 MB
4. Data Preprocessing/12. Bi-variate analysis and Variable transformation.srt
20 kB
4. Data Preprocessing/13. Variable transformation and deletion in Python.mp4
67 MB
4. Data Preprocessing/13. Variable transformation and deletion in Python.srt
9.3 kB
4. Data Preprocessing/14. Non-usable variables.mp4
20 MB
4. Data Preprocessing/14. Non-usable variables.srt
6.5 kB
4. Data Preprocessing/15. Dummy variable creation Handling qualitative data.mp4
40 MB
4. Data Preprocessing/15. Dummy variable creation Handling qualitative data.srt
5.5 kB
4. Data Preprocessing/16. Dummy variable creation in Python.mp4
41 MB
4. Data Preprocessing/16. Dummy variable creation in Python.srt
6.4 kB
4. Data Preprocessing/17. Correlation Analysis.mp4
75 MB
4. Data Preprocessing/17. Correlation Analysis.srt
12 kB
4. Data Preprocessing/18. Correlation Analysis in Python.mp4
66 MB
4. Data Preprocessing/18. Correlation Analysis in Python.srt
7.2 kB
4. Data Preprocessing/2. Data Exploration.mp4
28 MB
4. Data Preprocessing/2. Data Exploration.srt
3.8 kB
4. Data Preprocessing/3. The Dataset and the Data Dictionary.mp4
76 MB
4. Data Preprocessing/3. The Dataset and the Data Dictionary.srt
8.5 kB
4. Data Preprocessing/4. Importing Data in Python.mp4
34 MB
4. Data Preprocessing/4. Importing Data in Python.srt
6.6 kB
4. Data Preprocessing/5. Univariate analysis and EDD.mp4
29 MB
4. Data Preprocessing/5. Univariate analysis and EDD.srt
3.8 kB
4. Data Preprocessing/6. EDD in Python.mp4
78 MB
4. Data Preprocessing/6. EDD in Python.srt
12 kB
4. Data Preprocessing/7. Outlier Treatment.mp4
27 MB
4. Data Preprocessing/7. Outlier Treatment.srt
5.0 kB
4. Data Preprocessing/8. Outlier Treatment in Python.mp4
98 MB
4. Data Preprocessing/8. Outlier Treatment in Python.srt
14 kB
4. Data Preprocessing/9. Missing Value Imputation.mp4
24 MB
4. Data Preprocessing/9. Missing Value Imputation.srt
4.2 kB
5. Linear Regression/1. The Problem Statement.mp4
10 MB
5. Linear Regression/1. The Problem Statement.srt
1.8 kB
5. Linear Regression/10. Test-train split.mp4
42 MB
5. Linear Regression/10. Test-train split.srt
13 kB
5. Linear Regression/11. Bias Variance trade-off.mp4
25 MB
5. Linear Regression/11. Bias Variance trade-off.srt
8.2 kB
5. Linear Regression/12. Test train split in Python.mp4
64 MB
5. Linear Regression/12. Test train split in Python.srt
8.8 kB
5. Linear Regression/13. Regression models other than OLS.mp4
16 MB
5. Linear Regression/13. Regression models other than OLS.srt
5.3 kB
5. Linear Regression/14. Subset selection techniques.mp4
79 MB
5. Linear Regression/14. Subset selection techniques.srt
15 kB
5. Linear Regression/15. Shrinkage methods Ridge and Lasso.mp4
33 MB
5. Linear Regression/15. Shrinkage methods Ridge and Lasso.srt
9.4 kB
5. Linear Regression/16. Ridge regression and Lasso in Python.mp4
175 MB
5. Linear Regression/16. Ridge regression and Lasso in Python.srt
22 kB
5. Linear Regression/17. Heteroscedasticity.mp4
14 MB
5. Linear Regression/17. Heteroscedasticity.srt
3.2 kB
5. Linear Regression/2. Basic Equations and Ordinary Least Squares (OLS) method.mp4
42 MB
5. Linear Regression/2. Basic Equations and Ordinary Least Squares (OLS) method.srt
13 kB
5. Linear Regression/3. Assessing accuracy of predicted coefficients.mp4
103 MB
5. Linear Regression/3. Assessing accuracy of predicted coefficients.srt
20 kB
5. Linear Regression/4. Assessing Model Accuracy RSE and R squared.mp4
45 MB
5. Linear Regression/4. Assessing Model Accuracy RSE and R squared.srt
9.8 kB
5. Linear Regression/5. Simple Linear Regression in Python.mp4
85 MB
5. Linear Regression/5. Simple Linear Regression in Python.srt
13 kB
5. Linear Regression/6. Multiple Linear Regression.mp4
38 MB
5. Linear Regression/6. Multiple Linear Regression.srt
7.4 kB
5. Linear Regression/7. The F - statistic.mp4
54 MB
5. Linear Regression/7. The F - statistic.srt
12 kB
5. Linear Regression/8. Interpreting results of Categorical variables.mp4
21 MB
5. Linear Regression/8. Interpreting results of Categorical variables.srt
6.9 kB
5. Linear Regression/9. Multiple Linear Regression in Python.mp4
85 MB
5. Linear Regression/9. Multiple Linear Regression in Python.srt
14 kB
6. Introduction to the classification Models/1. Three classification models and Data set.mp4
52 MB
6. Introduction to the classification Models/1. Three classification models and Data set.srt
7.2 kB
6. Introduction to the classification Models/2. Importing the data into Python.mp4
6.9 MB
6. Introduction to the classification Models/2. Importing the data into Python.srt
1.7 kB
6. Introduction to the classification Models/3. The problem statements.mp4
17 MB
6. Introduction to the classification Models/3. The problem statements.srt
1.9 kB
6. Introduction to the classification Models/4. Why can't we use Linear Regression.mp4
17 MB
6. Introduction to the classification Models/4. Why can't we use Linear Regression.srt
5.7 kB
7. Logistic Regression/1. Logistic Regression.mp4
33 MB
7. Logistic Regression/2. Training a Simple Logistic Model in Python.mp4
70 MB
7. Logistic Regression/3. Result of Simple Logistic Regression.mp4
27 MB
7. Logistic Regression/4. Logistic with multiple predictors.mp4
8.5 MB
7. Logistic Regression/5. Training multiple predictor Logistic model in Python.mp4
34 MB
7. Logistic Regression/6. Confusion Matrix.mp4
21 MB
7. Logistic Regression/7. Creating Confusion Matrix in Python.mp4
61 MB
7. Logistic Regression/8. Evaluating performance of model.mp4
35 MB
7. Logistic Regression/9. Evaluating model performance in Python.mp4
13 MB
8. Linear Discriminant Analysis (LDA)/1. Linear Discriminant Analysis.mp4
41 MB
8. Linear Discriminant Analysis (LDA)/2. LDA in Python.mp4
18 MB
9. K Nearest neighbors classifier/1. Test-Train Split.mp4
39 MB
9. K Nearest neighbors classifier/2. Test-Train Split in Python.mp4
59 MB
9. K Nearest neighbors classifier/3. K-Nearest Neighbors classifier.mp4
75 MB
9. K Nearest neighbors classifier/4. K-Nearest Neighbors in Python Part 1.mp4
46 MB
9. K Nearest neighbors classifier/5. K-Nearest Neighbors in Python Part 2.mp4
53 MB