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Title: UdemyGroup: NOGRPSource: Udemy
Info Hash
65944D0C9B740BF7C880FB575B2C93736518A3CD
Source
Unverified
Total Size
3.03 GB
Total Files
100
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0
Leechers
1
Health
Score
1
Type
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File List

FileSize
0. Websites you may like/[CourseClub.ME].url122 B
0. Websites you may like/[FCS Forum].url133 B
0. Websites you may like/[FreeCourseSite.com].url127 B
0. Websites you may like/[GigaCourse.Com].url49 B
1. Introduction/1. Welcome to the course.mp421.42 MB
1. Introduction/1. Welcome to the course.srt3.15 KB
1. Introduction/2. Introduction to Neural Networks and Course flow.mp429.07 MB
1. Introduction/2. Introduction to Neural Networks and Course flow.srt4.6 KB
1. Introduction/3. Course Resources.html319 B
1. Introduction/4. This is a milestone!.mp420.68 MB
1. Introduction/4. This is a milestone!.srt3.78 KB
10. Python - Building and training the Model/1. Different ways to create ANN using Keras.mp410.8 MB
10. Python - Building and training the Model/1. Different ways to create ANN using Keras.srt1.87 KB
10. Python - Building and training the Model/2. Building the Neural Network using Keras.mp479.14 MB
10. Python - Building and training the Model/2. Building the Neural Network using Keras.srt11.96 KB
10. Python - Building and training the Model/3. Compiling and Training the Neural Network model.mp481.71 MB
10. Python - Building and training the Model/3. Compiling and Training the Neural Network model.srt9.59 KB
10. Python - Building and training the Model/4. Evaluating performance and Predicting using Keras.mp469.92 MB
10. Python - Building and training the Model/4. Evaluating performance and Predicting using Keras.srt9.02 KB
11. Python - Solving a Regression problem using ANN/1. Building Neural Network for Regression Problem.mp4155.87 MB
11. Python - Solving a Regression problem using ANN/1. Building Neural Network for Regression Problem.srt21.71 KB
12. Complex ANN Architectures using Functional API/1. Using Functional API for complex architectures.mp492.12 MB
12. Complex ANN Architectures using Functional API/1. Using Functional API for complex architectures.srt11.5 KB
13. Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.mp4151.58 MB
13. Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.srt18.79 KB
14. Hyperparameter Tuning/1. Hyperparameter Tuning.mp460.63 MB
14. Hyperparameter Tuning/1. Hyperparameter Tuning.srt9.43 KB
15. Add-on 1 Data Preprocessing/1. Gathering Business Knowledge.mp422.28 MB
15. Add-on 1 Data Preprocessing/1. Gathering Business Knowledge.srt3.9 KB
15. Add-on 1 Data Preprocessing/10. Missing Value Imputation.mp425.01 MB
15. Add-on 1 Data Preprocessing/10. Missing Value Imputation.srt4.08 KB
15. Add-on 1 Data Preprocessing/11. Missing Value Imputation in Python.mp423.42 MB
15. Add-on 1 Data Preprocessing/11. Missing Value Imputation in Python.srt4.06 KB
15. Add-on 1 Data Preprocessing/12. Seasonality in Data.mp417.02 MB
15. Add-on 1 Data Preprocessing/12. Seasonality in Data.srt3.78 KB
15. Add-on 1 Data Preprocessing/13. Bi-variate analysis and Variable transformation.mp4100.42 MB
15. Add-on 1 Data Preprocessing/13. Bi-variate analysis and Variable transformation.srt18.29 KB
15. Add-on 1 Data Preprocessing/14. Variable transformation and deletion in Python.mp444.08 MB
15. Add-on 1 Data Preprocessing/14. Variable transformation and deletion in Python.srt7.54 KB
15. Add-on 1 Data Preprocessing/15. Non-usable variables.mp420.24 MB
15. Add-on 1 Data Preprocessing/15. Non-usable variables.srt5.39 KB
15. Add-on 1 Data Preprocessing/16. Dummy variable creation Handling qualitative data.mp436.83 MB
15. Add-on 1 Data Preprocessing/16. Dummy variable creation Handling qualitative data.srt4.86 KB
15. Add-on 1 Data Preprocessing/17. Dummy variable creation in Python.mp426.53 MB
15. Add-on 1 Data Preprocessing/17. Dummy variable creation in Python.srt5.51 KB
15. Add-on 1 Data Preprocessing/18. Correlation Analysis.mp471.59 MB
15. Add-on 1 Data Preprocessing/18. Correlation Analysis.srt11.04 KB
15. Add-on 1 Data Preprocessing/19. Correlation Analysis in Python.mp455.31 MB
15. Add-on 1 Data Preprocessing/19. Correlation Analysis in Python.srt6.55 KB
15. Add-on 1 Data Preprocessing/2. Data Exploration.mp420.51 MB
15. Add-on 1 Data Preprocessing/2. Data Exploration.srt3.6 KB
15. Add-on 1 Data Preprocessing/3. The Dataset and the Data Dictionary.mp469.38 MB
15. Add-on 1 Data Preprocessing/3. The Dataset and the Data Dictionary.srt7.82 KB
15. Add-on 1 Data Preprocessing/4. Add-on Resources.html131 B
15. Add-on 1 Data Preprocessing/4.1 Files_linear_py.zip8.88 MB
15. Add-on 1 Data Preprocessing/5. Importing Data in Python.mp427.83 MB
15. Add-on 1 Data Preprocessing/5. Importing Data in Python.srt5.58 KB
15. Add-on 1 Data Preprocessing/6. Univariate analysis and EDD.mp424.19 MB
15. Add-on 1 Data Preprocessing/6. Univariate analysis and EDD.srt3.44 KB
15. Add-on 1 Data Preprocessing/7. EDD in Python.mp461.78 MB
15. Add-on 1 Data Preprocessing/7. EDD in Python.srt10.36 KB
15. Add-on 1 Data Preprocessing/8. Outlier Treatment.mp424.48 MB
15. Add-on 1 Data Preprocessing/8. Outlier Treatment.srt4.46 KB
15. Add-on 1 Data Preprocessing/9. Outlier Treatment in Python.mp470.23 MB
15. Add-on 1 Data Preprocessing/9. Outlier Treatment in Python.srt13 KB
16. Add-on 2 Classic ML models - Linear Regression/1. The Problem Statement.mp49.38 MB
16. Add-on 2 Classic ML models - Linear Regression/1. The Problem Statement.srt1.61 KB
16. Add-on 2 Classic ML models - Linear Regression/10. Test-train split.mp441.87 MB
16. Add-on 2 Classic ML models - Linear Regression/10. Test-train split.srt10.05 KB
16. Add-on 2 Classic ML models - Linear Regression/11. Bias Variance trade-off.mp425.1 MB
16. Add-on 2 Classic ML models - Linear Regression/11. Bias Variance trade-off.srt6.37 KB
16. Add-on 2 Classic ML models - Linear Regression/12. Test train split in Python.mp444.86 MB
16. Add-on 2 Classic ML models - Linear Regression/12. Test train split in Python.srt8.05 KB
16. Add-on 2 Classic ML models - Linear Regression/2. Basic Equations and Ordinary Least Squares (OLS) method.mp443.35 MB
16. Add-on 2 Classic ML models - Linear Regression/2. Basic Equations and Ordinary Least Squares (OLS) method.srt9.89 KB
16. Add-on 2 Classic ML models - Linear Regression/3. Assessing accuracy of predicted coefficients.mp492.14 MB
16. Add-on 2 Classic ML models - Linear Regression/3. Assessing accuracy of predicted coefficients.srt15.85 KB
16. Add-on 2 Classic ML models - Linear Regression/4. Assessing Model Accuracy RSE and R squared.mp443.63 MB
16. Add-on 2 Classic ML models - Linear Regression/4. Assessing Model Accuracy RSE and R squared.srt8.02 KB
16. Add-on 2 Classic ML models - Linear Regression/5. Simple Linear Regression in Python.mp463.43 MB
16. Add-on 2 Classic ML models - Linear Regression/5. Simple Linear Regression in Python.srt11.36 KB
16. Add-on 2 Classic ML models - Linear Regression/6. Multiple Linear Regression.mp434.32 MB
16. Add-on 2 Classic ML models - Linear Regression/6. Multiple Linear Regression.srt5.73 KB
16. Add-on 2 Classic ML models - Linear Regression/7. The F - statistic.mp456.01 MB
16. Add-on 2 Classic ML models - Linear Regression/7. The F - statistic.srt9.02 KB
16. Add-on 2 Classic ML models - Linear Regression/8. Interpreting results of Categorical variables.mp422.5 MB
16. Add-on 2 Classic ML models - Linear Regression/8. Interpreting results of Categorical variables.srt5.29 KB
16. Add-on 2 Classic ML models - Linear Regression/9. Multiple Linear Regression in Python.mp469.74 MB
16. Add-on 2 Classic ML models - Linear Regression/9. Multiple Linear Regression in Python.srt12.34 KB
17. Practice Assignment/1. Neural Networks Classification Assignment.html213 B
18. Bonus Section/1. The final milestone!.mp411.83 MB
18. Bonus Section/1. The final milestone!.srt1.73 KB
18. Bonus Section/2. Congratulations & About your certificate.html1.6 KB
2. Setting up Python and Jupyter Notebook/1. Installing Python and Anaconda.mp416.26 MB
2. Setting up Python and Jupyter Notebook/1. Installing Python and Anaconda.srt2.58 KB
2. Setting up Python and Jupyter Notebook/2. Opening Jupyter Notebook.mp465.17 MB
2. Setting up Python and Jupyter Notebook/2. Opening Jupyter Notebook.srt9.14 KB
2. Setting up Python and Jupyter Notebook/3. Introduction to Jupyter.mp440.92 MB
2. Setting up Python and Jupyter Notebook/3. Introduction to Jupyter.srt12.31 KB
2. Setting up Python and Jupyter Notebook/4. Arithmetic operators in Python Python Basics.mp412.75 MB

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