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[FreeCourseSite.com] Udemy - Machine Learning using Python
magnet:?xt=urn:btih:55995f6674d15a1613c0a25105fe8e1aa1989b04&dn=[FreeCourseSite.com] Udemy - Machine Learning using Python
磁力链接详情
Hash值:
55995f6674d15a1613c0a25105fe8e1aa1989b04
点击数:
104
文件大小:
7.06 GB
文件数量:
154
创建日期:
2022-11-14 02:01
最后访问:
2024-10-5 14:04
访问标签:
FreeCourseSite
com
Udemy
-
Machine
Learning
using
Python
文件列表详情
1. Setting up Python and Jupyter notebook/1. Installing Python and Anaconda.mp4 18.06 MB
1. Setting up Python and Jupyter notebook/10. Working with Seaborn Library of Python.mp4 39.57 MB
1. Setting up Python and Jupyter notebook/2. This is a Milestone!.mp4 20.66 MB
1. Setting up Python and Jupyter notebook/3. Opening Jupyter Notebook.mp4 68.44 MB
1. Setting up Python and Jupyter notebook/4. Introduction to Jupyter.mp4 44.06 MB
1. Setting up Python and Jupyter notebook/5. Arithmetic operators in Python Python Basics.mp4 13.53 MB
1. Setting up Python and Jupyter notebook/6. Strings in Python Python Basics.mp4 68.18 MB
1. Setting up Python and Jupyter notebook/7. Lists, Tuples and Directories Python Basics.mp4 63.21 MB
1. Setting up Python and Jupyter notebook/8. Working with Numpy Library of Python.mp4 46.45 MB
1. Setting up Python and Jupyter notebook/9. Working with Pandas Library of Python.mp4 50.69 MB
10. Comparing results from 3 models/1. Understanding the results of classification models.mp4 41.65 MB
10. Comparing results from 3 models/2. Summary of the three models.mp4 22.23 MB
11. Simple Decision Trees/1. Introduction to Decision trees.mp4 44.91 MB
11. Simple Decision Trees/10. Creating Decision tree in Python.mp4 21.33 MB
11. Simple Decision Trees/11. Evaluating model performance in Python.mp4 18.28 MB
11. Simple Decision Trees/12. Plotting decision tree in Python.mp4 27.05 MB
11. Simple Decision Trees/13. Pruning a tree.mp4 25.05 MB
11. Simple Decision Trees/14. Pruning a tree in Python.mp4 25.06 MB
11. Simple Decision Trees/2. Basics of Decision Trees.mp4 58.65 MB
11. Simple Decision Trees/3. Understanding a Regression Tree.mp4 61.1 MB
11. Simple Decision Trees/4. The stopping criteria for controlling tree growth.mp4 19.39 MB
11. Simple Decision Trees/5. Importing the Data set into Python.mp4 15.86 MB
11. Simple Decision Trees/6. Missing value treatment in Python.mp4 12.94 MB
11. Simple Decision Trees/7. Dummy Variable Creation in Python.mp4 24.58 MB
11. Simple Decision Trees/8. Dependent- Independent Data split in Python.mp4 16.87 MB
11. Simple Decision Trees/9. Test-Train split in Python.mp4 25.63 MB
12. Simple Classification Tree/1. Classification tree.mp4 40.23 MB
12. Simple Classification Tree/2. The Data set for Classification problem.mp4 20.89 MB
12. Simple Classification Tree/3. Classification tree in Python Preprocessing.mp4 53.82 MB
12. Simple Classification Tree/4. Classification tree in Python Training.mp4 99.55 MB
12. Simple Classification Tree/5. Advantages and Disadvantages of Decision Trees.mp4 10.05 MB
13. Ensemble technique 1 - Bagging/1. Ensemble technique 1 - Bagging.mp4 39.32 MB
13. Ensemble technique 1 - Bagging/2. Ensemble technique 1 - Bagging in Python.mp4 97.09 MB
14. Ensemble technique 2 - Random Forests/1. Ensemble technique 2 - Random Forests.mp4 26.03 MB
14. Ensemble technique 2 - Random Forests/2. Ensemble technique 2 - Random Forests in Python.mp4 54.86 MB
14. Ensemble technique 2 - Random Forests/3. Using Grid Search in Python.mp4 91.74 MB
15. Ensemble technique 3 - Boosting/1. Boosting.mp4 40.9 MB
15. Ensemble technique 3 - Boosting/2. Ensemble technique 3a - Boosting in Python.mp4 39.86 MB
15. Ensemble technique 3 - Boosting/3. Ensemble technique 3b - AdaBoost in Python.mp4 30.54 MB
15. Ensemble technique 3 - Boosting/4. Ensemble technique 3c - XGBoost in Python.mp4 74.98 MB
16. Support Vector Machines/1. Introduction to SVM's.mp4 21.64 MB
16. Support Vector Machines/2. The Concept of a Hyperplane.mp4 40.55 MB
16. Support Vector Machines/3. Maximum Margin Classifier.mp4 30.64 MB
16. Support Vector Machines/4. Limitations of Maximum Margin Classifier.mp4 14.52 MB
17. Support Vector classifiers/1. Support Vector classifiers.mp4 73.69 MB
17. Support Vector classifiers/2. Limitations of Support Vector Classifiers.mp4 15.63 MB
18. Support Vector Machines/1. Kernel Based Support Vector Machines.mp4 53.27 MB
19. Creating Support Vector Machine Model in Python/1. Regression and Classification Models.mp4 4.69 MB
19. Creating Support Vector Machine Model in Python/10. Radial Kernel with Hyperparameter Tuning.mp4 44.5 MB
19. Creating Support Vector Machine Model in Python/2. Importing and preprocessing data in Python.mp4 26.45 MB
19. Creating Support Vector Machine Model in Python/3. Standardizing the data.mp4 42.09 MB
19. Creating Support Vector Machine Model in Python/4. SVM based Regression Model in Python.mp4 73.72 MB
19. Creating Support Vector Machine Model in Python/5. Classification model - Preprocessing.mp4 53.92 MB
19. Creating Support Vector Machine Model in Python/6. Classification model - Standardizing the data.mp4 10.61 MB
19. Creating Support Vector Machine Model in Python/7. SVM Based classification model.mp4 72.9 MB
19. Creating Support Vector Machine Model in Python/8. Hyper Parameter Tuning.mp4 67.53 MB
19. Creating Support Vector Machine Model in Python/9. Polynomial Kernel with Hyperparameter Tuning.mp4 26.45 MB
2. Basics of statistics/1. Types of Data.mp4 23.31 MB
2. Basics of statistics/2. Types of Statistics.mp4 11.99 MB
2. Basics of statistics/3. Describing data Graphically.mp4 76.04 MB
2. Basics of statistics/4. Measures of Centers.mp4 43.32 MB
2. Basics of statistics/5. Measures of Dispersion.mp4 26.31 MB
20. Time Series Analysis and Forecasting/1. Introduction.mp4 18.68 MB
20. Time Series Analysis and Forecasting/2. Time Series Forecasting - Use cases.mp4 31.35 MB
20. Time Series Analysis and Forecasting/3. Forecasting model creation - Steps.mp4 12.13 MB
20. Time Series Analysis and Forecasting/4. Forecasting model creation - Steps 1 (Goal).mp4 45.94 MB
20. Time Series Analysis and Forecasting/5. Time Series - Basic Notations.mp4 78.9 MB
21. Time Series - Preprocessing in Pyhton/1. Data Loading in Python.mp4 134.61 MB
21. Time Series - Preprocessing in Pyhton/10. Exponential Smoothing.mp4 10.86 MB
21. Time Series - Preprocessing in Pyhton/2. Time Series - Visualization Basics.mp4 80.35 MB
21. Time Series - Preprocessing in Pyhton/3. Time Series - Visualization in Python.mp4 208.24 MB
21. Time Series - Preprocessing in Pyhton/4. Time Series - Feature Engineering Basics.mp4 76.92 MB
21. Time Series - Preprocessing in Pyhton/5. Time Series - Feature Engineering in Python.mp4 142.5 MB
21. Time Series - Preprocessing in Pyhton/6. Time Series - Upsampling and Downsampling.mp4 23.34 MB
21. Time Series - Preprocessing in Pyhton/7. Time Series - Upsampling and Downsampling in Python.mp4 124.28 MB
21. Time Series - Preprocessing in Pyhton/8. Time Series - Power Transformation.mp4 18.7 MB
21. Time Series - Preprocessing in Pyhton/9. Moving Average.mp4 50.04 MB
22. Time Series - Important Concepts/1. White Noise.mp4 14.71 MB
22. Time Series - Important Concepts/2. Random Walk.mp4 28.05 MB
22. Time Series - Important Concepts/3. Decomposing Time Series in Python.mp4 78.61 MB
22. Time Series - Important Concepts/4. Differencing.mp4 44.01 MB
22. Time Series - Important Concepts/5. Differencing in Python.mp4 141.15 MB
23. Time Series - Implementation in Python/1. Test Train Split in Python.mp4 77.12 MB
23. Time Series - Implementation in Python/2. Naive (Persistence) model in Python.mp4 56.85 MB
23. Time Series - Implementation in Python/3. Auto Regression Model - Basics.mp4 20.93 MB
23. Time Series - Implementation in Python/4. Auto Regression Model creation in Python.mp4 67.57 MB
23. Time Series - Implementation in Python/5. Auto Regression with Walk Forward validation in Python.mp4 61.79 MB
23. Time Series - Implementation in Python/6. Moving Average model -Basics.mp4 31.74 MB
23. Time Series - Implementation in Python/7. Moving Average model in Python.mp4 64.3 MB
24. Time Series - ARIMA model/1. ACF and PACF.mp4 52.76 MB
24. Time Series - ARIMA model/2. ARIMA model - Basics.mp4 26.47 MB
24. Time Series - ARIMA model/3. ARIMA model in Python.mp4 84.87 MB
24. Time Series - ARIMA model/4. ARIMA model with Walk Forward Validation in Python.mp4 36.14 MB
25. Time Series - SARIMA model/1. SARIMA model.mp4 40.23 MB
25. Time Series - SARIMA model/2. SARIMA model in Python.mp4 75.11 MB
25. Time Series - SARIMA model/3. Stationary time Series.mp4 5.66 MB
25. Time Series - SARIMA model/4. The final milestone!.mp4 11.85 MB
3. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 113.34 MB
3. Introduction to Machine Learning/2. Building a Machine Learning Model.mp4 40.97 MB
4. Data Preprocessing/1. Gathering Business Knowledge.mp4 17.27 MB
4. Data Preprocessing/10. Missing Value Imputation in Python.mp4 33.32 MB
4. Data Preprocessing/11. Seasonality in Data.mp4 17.02 MB
4. Data Preprocessing/12. Bi-variate analysis and Variable transformation.mp4 100.45 MB
4. Data Preprocessing/13. Variable transformation and deletion in Python.mp4 67.33 MB
4. Data Preprocessing/14. Non-usable variables.mp4 20.24 MB
4. Data Preprocessing/15. Dummy variable creation Handling qualitative data.mp4 40.47 MB
4. Data Preprocessing/16. Dummy variable creation in Python.mp4 40.8 MB
4. Data Preprocessing/17. Correlation Analysis.mp4 74.68 MB
4. Data Preprocessing/18. Correlation Analysis in Python.mp4 65.61 MB
4. Data Preprocessing/2. Data Exploration.mp4 28.38 MB
4. Data Preprocessing/3. The Dataset and the Data Dictionary.mp4 76.34 MB
4. Data Preprocessing/4. Importing Data in Python.mp4 33.93 MB
4. Data Preprocessing/5. Univariate analysis and EDD.mp4 29.25 MB
4. Data Preprocessing/6. EDD in Python.mp4 78.5 MB
4. Data Preprocessing/7. Outlier Treatment.mp4 26.61 MB
4. Data Preprocessing/8. Outlier Treatment in Python.mp4 98.28 MB
4. Data Preprocessing/9. Missing Value Imputation.mp4 24.46 MB
5. Linear Regression/1. The Problem Statement.mp4 10.14 MB
5. Linear Regression/10. Test-train split.mp4 41.83 MB
5. Linear Regression/11. Bias Variance trade-off.mp4 25.1 MB
5. Linear Regression/12. Test train split in Python.mp4 64.03 MB
5. Linear Regression/13. Regression models other than OLS.mp4 16.53 MB
5. Linear Regression/14. Subset selection techniques.mp4 79.05 MB
5. Linear Regression/15. Shrinkage methods Ridge and Lasso.mp4 33.29 MB
5. Linear Regression/16. Ridge regression and Lasso in Python.mp4 174.92 MB
5. Linear Regression/17. Heteroscedasticity.mp4 14.49 MB
5. Linear Regression/2. Basic Equations and Ordinary Least Squares (OLS) method.mp4 42.52 MB
5. Linear Regression/3. Assessing accuracy of predicted coefficients.mp4 103.21 MB
5. Linear Regression/4. Assessing Model Accuracy RSE and R squared.mp4 44.97 MB
5. Linear Regression/5. Simple Linear Regression in Python.mp4 84.86 MB
5. Linear Regression/6. Multiple Linear Regression.mp4 38.17 MB
5. Linear Regression/7. The F - statistic.mp4 53.78 MB
5. Linear Regression/8. Interpreting results of Categorical variables.mp4 21.42 MB
5. Linear Regression/9. Multiple Linear Regression in Python.mp4 85.12 MB
6. Introduction to the classification Models/1. Three classification models and Data set.mp4 52.25 MB
6. Introduction to the classification Models/2. Importing the data into Python.mp4 6.88 MB
6. Introduction to the classification Models/3. The problem statements.mp4 17.05 MB
6. Introduction to the classification Models/4. Why can't we use Linear Regression.mp4 16.91 MB
7. Logistic Regression/1. Logistic Regression.mp4 32.91 MB
7. Logistic Regression/2. Training a Simple Logistic Model in Python.mp4 69.52 MB
7. Logistic Regression/3. Result of Simple Logistic Regression.mp4 26.9 MB
7. Logistic Regression/4. Logistic with multiple predictors.mp4 8.51 MB
7. Logistic Regression/5. Training multiple predictor Logistic model in Python.mp4 34.25 MB
7. Logistic Regression/6. Confusion Matrix.mp4 21.1 MB
7. Logistic Regression/7. Creating Confusion Matrix in Python.mp4 60.79 MB
7. Logistic Regression/8. Evaluating performance of model.mp4 35.17 MB
7. Logistic Regression/9. Evaluating model performance in Python.mp4 13.39 MB
8. Linear Discriminant Analysis (LDA)/1. Linear Discriminant Analysis.mp4 40.92 MB
8. Linear Discriminant Analysis (LDA)/2. LDA in Python.mp4 17.65 MB
9. K Nearest neighbors classifier/1. Test-Train Split.mp4 39.26 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 75.36 MB
9. K Nearest neighbors classifier/4. K-Nearest Neighbors in Python Part 1.mp4 46.15 MB
9. K Nearest neighbors classifier/5. K-Nearest Neighbors in Python Part 2.mp4 53.16 MB
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