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[GigaCourse com] Udemy - Deep Learning with Keras and Tensorflow in Python and R

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Title: UdemyGroup: NOGRPSource: Udemy
Info Hash
A24DC0ED8C01E123276AB97F1F6716E974DD2995
Source
Unverified
Total Size
4.01 GB
Total Files
100
Seeders
0
Leechers
1
Health
Score
1
Type
Bookware

File List

FileSize
1. Introduction/1. Introduction.mp429.1 MB
1. Introduction/1. Introduction.srt4.6 KB
1. Introduction/2. Course Resources.html117 B
1. Introduction/2.1 keras.zip5.53 MB
10. Python - Building and training the Model/1. Different ways to create ANN using Keras.mp410.81 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.mp479.15 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.mp481.66 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.mp469.87 MB
10. Python - Building and training the Model/4. Evaluating performance and Predicting using Keras.srt9.02 KB
11. R - Building and training the Model/1. Building,Compiling and Training.mp4130.73 MB
11. R - Building and training the Model/1. Building,Compiling and Training.srt15.42 KB
11. R - Building and training the Model/2. Evaluating and Predicting.mp499.26 MB
11. R - Building and training the Model/2. Evaluating and Predicting.srt9.43 KB
12. Python - Regression problems and Functional API/1. Building Neural Network for Regression Problem.mp4155.87 MB
12. Python - Regression problems and Functional API/1. Building Neural Network for Regression Problem.srt21.71 KB
12. Python - Regression problems and Functional API/2. Using Functional API for complex architectures.mp492.14 MB
12. Python - Regression problems and Functional API/2. Using Functional API for complex architectures.srt11.5 KB
13. R - Regression Problem and Functional API/1. Building Regression Model with Functional AP.mp4131.14 MB
13. R - Regression Problem and Functional API/1. Building Regression Model with Functional AP.srt13.07 KB
13. R - Regression Problem and Functional API/2. Complex Architectures using Functional API.mp479.58 MB
13. R - Regression Problem and Functional API/2. Complex Architectures using Functional API.srt8.28 KB
14. Python - Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.mp4151.63 MB
14. Python - Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.srt18.79 KB
15. R - Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.mp4216.1 MB
15. R - Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.srt20.36 KB
16. Python - Hyperparameter Tuning/1. Hyperparameter Tuning.mp460.64 MB
16. Python - Hyperparameter Tuning/1. Hyperparameter Tuning.srt9.43 KB
17. R - Hyperparameter Tuning/1. Hyperparameter Tuning.mp460.63 MB
17. R - Hyperparameter Tuning/1. Hyperparameter Tuning.srt9.43 KB
18. Add on Data Preprocessing/1. Gathering Business Knowledge.mp422.29 MB
18. Add on Data Preprocessing/1. Gathering Business Knowledge.srt3.9 KB
18. Add on Data Preprocessing/10. Outlier Treatment in Python.mp470.24 MB
18. Add on Data Preprocessing/10. Outlier Treatment in Python.srt13 KB
18. Add on Data Preprocessing/11. Outlier Treatment in R.mp430.75 MB
18. Add on Data Preprocessing/11. Outlier Treatment in R.srt4.28 KB
18. Add on Data Preprocessing/12. Missing Value imputation.mp424.99 MB
18. Add on Data Preprocessing/12. Missing Value imputation.srt4.08 KB
18. Add on Data Preprocessing/13. Missing Value Imputation in Python.mp423.42 MB
18. Add on Data Preprocessing/13. Missing Value Imputation in Python.srt4.06 KB
18. Add on Data Preprocessing/14. Missing Value imputation in R.mp426 MB
18. Add on Data Preprocessing/14. Missing Value imputation in R.srt3.46 KB
18. Add on Data Preprocessing/15. Seasonality in Data.mp417.04 MB
18. Add on Data Preprocessing/15. Seasonality in Data.srt3.78 KB
18. Add on Data Preprocessing/16. Bi-variate Analysis and Variable Transformation.mp4100.47 MB
18. Add on Data Preprocessing/16. Bi-variate Analysis and Variable Transformation.srt18.29 KB
18. Add on Data Preprocessing/17. Variable transformation and deletion in Python.mp444.12 MB
18. Add on Data Preprocessing/17. Variable transformation and deletion in Python.srt7.54 KB
18. Add on Data Preprocessing/18. Variable transformation in R.mp455.43 MB
18. Add on Data Preprocessing/18. Variable transformation in R.srt9.04 KB
18. Add on Data Preprocessing/19. Non Usable Variables.mp420.25 MB
18. Add on Data Preprocessing/19. Non Usable Variables.srt5.39 KB
18. Add on Data Preprocessing/2. Data Exploration.mp420.51 MB
18. Add on Data Preprocessing/2. Data Exploration.srt3.6 KB
18. Add on Data Preprocessing/20. Dummy variable creation Handling qualitative data.mp436.84 MB
18. Add on Data Preprocessing/20. Dummy variable creation Handling qualitative data.srt4.86 KB
18. Add on Data Preprocessing/21. Dummy variable creation in Python.mp426.53 MB
18. Add on Data Preprocessing/21. Dummy variable creation in Python.srt5.51 KB
18. Add on Data Preprocessing/22. Dummy variable creation in R.mp443.97 MB
18. Add on Data Preprocessing/22. Dummy variable creation in R.srt5.19 KB
18. Add on Data Preprocessing/3. The Data and the Data Dictionary.mp469.34 MB
18. Add on Data Preprocessing/3. The Data and the Data Dictionary.srt7.82 KB
18. Add on Data Preprocessing/4. Importing Data in Python.mp427.84 MB
18. Add on Data Preprocessing/4. Importing Data in Python.srt5.58 KB
18. Add on Data Preprocessing/5. Importing the dataset into R.mp413.1 MB
18. Add on Data Preprocessing/5. Importing the dataset into R.srt2.6 KB
18. Add on Data Preprocessing/6. Univariate Analysis and EDD.mp424.2 MB
18. Add on Data Preprocessing/6. Univariate Analysis and EDD.srt3.44 KB
18. Add on Data Preprocessing/7. EDD in Python.mp461.78 MB
18. Add on Data Preprocessing/7. EDD in Python.srt10.36 KB
18. Add on Data Preprocessing/8. EDD in R.mp496.98 MB
18. Add on Data Preprocessing/8. EDD in R.srt11.55 KB
18. Add on Data Preprocessing/9. Outlier Treatment.mp424.48 MB
18. Add on Data Preprocessing/9. Outlier Treatment.srt4.46 KB
19. Test Train Split/1. Test-train split.mp441.87 MB
19. Test Train Split/1. Test-train split.srt10.05 KB
19. Test Train Split/2. Bias Variance trade-off.mp425.1 MB
19. Test Train Split/2. Bias Variance trade-off.srt6.37 KB
19. Test Train Split/3. Test train split in Python.mp444.87 MB
19. Test Train Split/3. Test train split in Python.srt8.05 KB
19. Test Train Split/4. Test train split in R.mp475.62 MB
19. Test Train Split/4. Test train split in R.srt8.37 KB
2. Setting up Python and Jupyter Notebook/1. Installing Python and Anaconda.mp416.28 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.mp465.2 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
2. Setting up Python and Jupyter Notebook/4. Arithmetic operators in Python Python Basics.srt3.99 KB
2. Setting up Python and Jupyter Notebook/5. Strings in Python Python Basics.mp464.44 MB
2. Setting up Python and Jupyter Notebook/5. Strings in Python Python Basics.srt16.43 KB
2. Setting up Python and Jupyter Notebook/6. Lists, Tuples and Directories Python Basics.mp460.32 MB
2. Setting up Python and Jupyter Notebook/6. Lists, Tuples and Directories Python Basics.srt17.01 KB
2. Setting up Python and Jupyter Notebook/7. Working with Numpy Library of Python.mp443.89 MB
2. Setting up Python and Jupyter Notebook/7. Working with Numpy Library of Python.srt10.47 KB
2. Setting up Python and Jupyter Notebook/8. Working with Pandas Library of Python.mp446.89 MB
2. Setting up Python and Jupyter Notebook/8. Working with Pandas Library of Python.srt8.15 KB

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