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Udemy Neural Networks ANN using Keras and TensorFlow in Python

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Uploader:

escobar623

Source:

1337x

Type:

Tutorials

Language:

English

Category:

Other

Size:

3.0 GB

Added:

Oct. 28, 2023, 6:17 a.m.

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Files:

1. Welcome to the course.mp4 21.4 MB
1. Welcome to the course.srt 3.1 KB
2. Introduction to Neural Networks and Course flow.mp4 29.1 MB
2. Introduction to Neural Networks and Course flow.srt 4.6 KB
3. Course resources.html 117 bytes
3.1 Files_ANN_Py.zip 10.5 MB
1. Different ways to create ANN using Keras.mp4 10.8 MB
1. Different ways to create ANN using Keras.srt 1.9 KB
2. Building the Neural Network using Keras.mp4 79.1 MB
2. Building the Neural Network using Keras.srt 12.0 KB
3. Compiling and Training the Neural Network model.mp4 81.7 MB
3. Compiling and Training the Neural Network model.srt 9.6 KB
4. Evaluating performance and Predicting using Keras.mp4 69.9 MB
4. Evaluating performance and Predicting using Keras.srt 9.0 KB
1. Building Neural Network for Regression Problem.mp4 155.9 MB
1. Building Neural Network for Regression Problem.srt 21.7 KB
1. Using Functional API for complex architectures.mp4 92.1 MB
1. Using Functional API for complex architectures.srt 11.5 KB
1. Saving - Restoring Models and Using Callbacks.mp4 151.6 MB
1. Saving - Restoring Models and Using Callbacks.srt 18.8 KB
1. Hyperparameter Tuning.mp4 60.6 MB
1. Hyperparameter Tuning.srt 9.4 KB
1. Gathering Business Knowledge.mp4 22.3 MB
1. Gathering Business Knowledge.srt 3.9 KB
10. Missing Value Imputation in Python.mp4 23.4 MB
10. Missing Value Imputation in Python.srt 4.1 KB
11. Seasonality in Data.mp4 17.0 MB
11. Seasonality in Data.srt 3.8 KB
12. Bi-variate analysis and Variable transformation.mp4 100.4 MB
12. Bi-variate analysis and Variable transformation.srt 18.3 KB
13. Variable transformation and deletion in Python.mp4 44.1 MB
13. Variable transformation and deletion in Python.srt 7.5 KB
14. Non-usable variables.mp4 20.2 MB
14. Non-usable variables.srt 5.4 KB
15. Dummy variable creation Handling qualitative data.mp4 36.8 MB
15. Dummy variable creation Handling qualitative data.srt 4.9 KB
16. Dummy variable creation in Python.mp4 26.5 MB
16. Dummy variable creation in Python.srt 5.5 KB
17. Correlation Analysis.mp4 71.6 MB
17. Correlation Analysis.srt 11.0 KB
18. Correlation Analysis in Python.mp4 55.3 MB
18. Correlation Analysis in Python.srt 6.6 KB
2. Data Exploration.mp4 20.5 MB
2. Data Exploration.srt 3.6 KB
3. The Dataset and the Data Dictionary.mp4 69.4 MB
3. The Dataset and the Data Dictionary.srt 7.8 KB
4. Importing Data in Python.mp4 27.8 MB
4. Importing Data in Python.srt 5.6 KB
5. Univariate analysis and EDD.mp4 24.2 MB
5. Univariate analysis and EDD.srt 3.4 KB
6. EDD in Python.mp4 61.8 MB
6. EDD in Python.srt 10.4 KB
7. Outlier Treatment.mp4 24.5 MB
7. Outlier Treatment.srt 4.5 KB
8. Outlier Treatment in Python.mp4 70.2 MB
8. Outlier Treatment in Python.srt 13.0 KB
9. Missing Value Imputation.mp4 25.0 MB
9. Missing Value Imputation.srt 4.1 KB
1. The Problem Statement.mp4 9.4 MB
1. The Problem Statement.srt 1.6 KB
10. Test-train split.mp4 41.9 MB
10. Test-train split.srt 10.1 KB
11. Bias Variance trade-off.mp4 25.1 MB
11. Bias Variance trade-off.srt 6.4 KB
12. Test train split in Python.mp4 44.9 MB
12. Test train split in Python.srt 8.1 KB
2. Basic Equations and Ordinary Least Squares (OLS) method.mp4 43.4 MB
2. Basic Equations and Ordinary Least Squares (OLS) method.srt 9.9 KB
3. Assessing accuracy of predicted coefficients.mp4 92.1 MB
3. Assessing accuracy of predicted coefficients.srt 15.9 KB
4. Assessing Model Accuracy RSE and R squared.mp4 43.6 MB
4. Assessing Model Accuracy RSE and R squared.srt 8.0 KB
5. Simple Linear Regression in Python.mp4 63.4 MB
5. Simple Linear Regression in Python.srt 11.4 KB
6. Multiple Linear Regression.mp4 34.3 MB
6. Multiple Linear Regression.srt 5.7 KB
7. The F - statistic.mp4 56.0 MB
7. The F - statistic.srt 9.0 KB
8. Interpreting results of Categorical variables.mp4 22.5 MB
8. Interpreting results of Categorical variables.srt 5.3 KB
9. Multiple Linear Regression in Python.mp4 69.7 MB
9. Multiple Linear Regression in Python.srt 12.3 KB
1. Neural Networks Classification Assignment.html 173 bytes
1. Installing Python and Anaconda.mp4 16.3 MB
1. Installing Python and Anaconda.srt 2.6 KB
2. Opening Jupyter Notebook.mp4 65.2 MB
2. Opening Jupyter Notebook.srt 9.1 KB
3. Introduction to Jupyter.mp4 40.9 MB
3. Introduction to Jupyter.srt 12.3 KB
4. Arithmetic operators in Python Python Basics.mp4 12.7 MB
4. Arithmetic operators in Python Python Basics.srt 4.0 KB
5. Strings in Python Python Basics.mp4 64.4 MB
5. Strings in Python Python Basics.srt 16.4 KB
6. Lists, Tuples and Directories Python Basics.mp4 60.3 MB
6. Lists, Tuples and Directories Python Basics.srt 17.0 KB
7. Working with Numpy Library of Python.mp4 43.9 MB
7. Working with Numpy Library of Python.srt 10.5 KB
8. Working with Pandas Library of Python.mp4 46.9 MB
8. Working with Pandas Library of Python.srt 8.2 KB
9. Working with Seaborn Library of Python.mp4 40.4 MB
9. Working with Seaborn Library of Python.srt 7.5 KB
1. Perceptron.mp4 44.8 MB
1. Perceptron.srt 9.7 KB
2. Activation Functions.mp4 34.6 MB
2. Activation Functions.srt 7.9 KB
3. Python - Creating Perceptron model.mp4 86.6 MB
3. Python - Creating Perceptron model.srt 14.5 KB
1. Basic Terminologies.mp4 40.4 MB
1. Basic Terminologies.srt 9.5 KB
2. Gradient Descent.mp4 60.3 MB
2. Gradient Descent.srt 11.9 KB
3. Back Propagation.mp4 122.2 MB
3. Back Propagation.srt 22.8 KB
1. Some Important Concepts.mp4 62.2 MB
1. Some Important Concepts.srt 13.1 KB
2. Quiz.html 169 bytes
1. Hyperparameters.mp4 45.3 MB
1. Hyperparameters.srt 8.9 KB
1. Test your conceptual understanding.html 169 bytes
1. Keras and Tensorflow.mp4 14.9 MB
1. Keras and Tensorflow.srt 3.6 KB
2. Installing Tensorflow and Keras.mp4 20.1 MB
2. Installing Tensorflow and Keras.srt 3.8 KB
1. Dataset for classification.mp4 56.1 MB
1. Dataset for classification.srt 7.2 KB
2. Normalization and Test-Train split.mp4 44.2 MB
2. Normalization and Test-Train split.srt 5.7 KB
Readme.txt 962 bytes
[GigaCourse.com].url 49 bytes

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