Name [FreeCourseSite.com] Udemy - Artificial Neural Networks (ANN) with Keras in Python and R

File Type video

Size 4.03GB

UpdateDate 2024-10-1

hash *****3147741E9443960077C3A2C7B7CF603F1A

Hot 1

Files 0. Websites you may like/[CourseClub.ME].url | 122B 0. Websites you may like/[FCS Forum].url | 133B 0. Websites you may like/[FreeCourseSite.com].url | 127B 0. Websites you may like/[GigaCourse.Com].url | 49B 1. Introduction/1. Introduction.mp4 | 29.09MB 1. Introduction/1. Introduction.srt | 4.60KB 1. Introduction/2. Course Resources.html | 327B 10. Python - Building and training the Model/1. Different ways to create ANN using Keras.mp4 | 10.81MB 10. Python - Building and training the Model/1. Different ways to create ANN using Keras.srt | 1.87KB 10. Python - Building and training the Model/2. Building the Neural Network using Keras.mp4 | 79.15MB 10. Python - Building and training the Model/2. Building the Neural Network using Keras.srt | 11.96KB 10. Python - Building and training the Model/3. Compiling and Training the Neural Network model.mp4 | 81.65MB 10. Python - Building and training the Model/3. Compiling and Training the Neural Network model.srt | 9.59KB 10. Python - Building and training the Model/4. Evaluating performance and Predicting using Keras.mp4 | 69.87MB 10. Python - Building and training the Model/4. Evaluating performance and Predicting using Keras.srt | 9.02KB 11. R - Building and training the Model/1. Building,Compiling and Training.mp4 | 130.72MB 11. R - Building and training the Model/1. Building,Compiling and Training.srt | 15.42KB 11. R - Building and training the Model/2. Evaluating and Predicting.mp4 | 99.25MB 11. R - Building and training the Model/2. Evaluating and Predicting.srt | 9.43KB 12. Python - Regression problems and Functional API/1. Building Neural Network for Regression Problem.mp4 | 155.87MB 12. Python - Regression problems and Functional API/1. Building Neural Network for Regression Problem.srt | 21.71KB 12. Python - Regression problems and Functional API/2. Using Functional API for complex architectures.mp4 | 92.14MB 12. Python - Regression problems and Functional API/2. Using Functional API for complex architectures.srt | 11.50KB 13. R - Regression Problem and Functional API/1. Building Regression Model with Functional AP.mp4 | 131.14MB 13. R - Regression Problem and Functional API/1. Building Regression Model with Functional AP.srt | 13.07KB 13. R - Regression Problem and Functional API/2. Complex Architectures using Functional API.mp4 | 79.57MB 13. R - Regression Problem and Functional API/2. Complex Architectures using Functional API.srt | 8.28KB 14. Python - Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.mp4 | 151.63MB 14. Python - Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.srt | 18.79KB 15. R - Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.mp4 | 216.09MB 15. R - Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.srt | 20.36KB 16. Python - Hyperparameter Tuning/1. Hyperparameter Tuning.mp4 | 60.63MB 16. Python - Hyperparameter Tuning/1. Hyperparameter Tuning.srt | 9.43KB 17. R - Hyperparameter Tuning/1. Hyperparameter Tuning.mp4 | 60.63MB 17. R - Hyperparameter Tuning/1. Hyperparameter Tuning.srt | 9.43KB 18. Add on Data Preprocessing/1. Gathering Business Knowledge.mp4 | 22.29MB 18. Add on Data Preprocessing/1. Gathering Business Knowledge.srt | 3.90KB 18. Add on Data Preprocessing/10. Outlier Treatment in Python.mp4 | 70.24MB 18. Add on Data Preprocessing/10. Outlier Treatment in Python.srt | 13.00KB 18. Add on Data Preprocessing/11. Outlier Treatment in R.mp4 | 30.74MB 18. Add on Data Preprocessing/11. Outlier Treatment in R.srt | 4.28KB 18. Add on Data Preprocessing/12. Missing Value imputation.mp4 | 24.98MB 18. Add on Data Preprocessing/12. Missing Value imputation.srt | 4.08KB 18. Add on Data Preprocessing/13. Missing Value Imputation in Python.mp4 | 23.41MB 18. Add on Data Preprocessing/13. Missing Value Imputation in Python.srt | 4.06KB 18. Add on Data Preprocessing/14. Missing Value imputation in R.mp4 | 25.99MB 18. Add on Data Preprocessing/14. Missing Value imputation in R.srt | 3.46KB 18. Add on Data Preprocessing/15. Seasonality in Data.mp4 | 17.03MB 18. Add on Data Preprocessing/15. Seasonality in Data.srt | 3.78KB 18. Add on Data Preprocessing/16. Bi-variate Analysis and Variable Transformation.mp4 | 100.47MB 18. Add on Data Preprocessing/16. Bi-variate Analysis and Variable Transformation.srt | 18.29KB 18. Add on Data Preprocessing/17. Variable transformation and deletion in Python.mp4 | 44.11MB 18. Add on Data Preprocessing/17. Variable transformation and deletion in Python.srt | 7.54KB 18. Add on Data Preprocessing/18. Variable transformation in R.mp4 | 55.43MB 18. Add on Data Preprocessing/18. Variable transformation in R.srt | 9.04KB 18. Add on Data Preprocessing/19. Non Usable Variables.mp4 | 20.25MB 18. Add on Data Preprocessing/19. Non Usable Variables.srt | 5.39KB 18. Add on Data Preprocessing/2. Data Exploration.mp4 | 20.52MB 18. Add on Data Preprocessing/2. Data Exploration.srt | 3.60KB 18. Add on Data Preprocessing/20. Dummy variable creation Handling qualitative data.mp4 | 36.83MB 18. Add on Data Preprocessing/20. Dummy variable creation Handling qualitative data.srt | 4.86KB 18. Add on Data Preprocessing/21. Dummy variable creation in Python.mp4 | 26.53MB 18. Add on Data Preprocessing/21. Dummy variable creation in Python.srt | 5.51KB 18. Add on Data Preprocessing/22. Dummy variable creation in R.mp4 | 43.98MB 18. Add on Data Preprocessing/22. Dummy variable creation in R.srt | 5.19KB 18. Add on Data Preprocessing/3. The Data and the Data Dictionary.mp4 | 69.33MB 18. Add on Data Preprocessing/3. The Data and the Data Dictionary.srt | 7.82KB 18. Add on Data Preprocessing/3.1 House_Price.csv | 53.49KB 18. Add on Data Preprocessing/4. Importing Data in Python.mp4 | 27.83MB 18. Add on Data Preprocessing/4. Importing Data in Python.srt | 5.58KB 18. Add on Data Preprocessing/5. Importing the dataset into R.mp4 | 13.10MB 18. Add on Data Preprocessing/5. Importing the dataset into R.srt | 2.60KB 18. Add on Data Preprocessing/6. Univariate Analysis and EDD.mp4 | 24.21MB 18. Add on Data Preprocessing/6. Univariate Analysis and EDD.srt | 3.44KB 18. Add on Data Preprocessing/7. EDD in Python.mp4 | 61.78MB 18. Add on Data Preprocessing/7. EDD in Python.srt | 10.36KB 18. Add on Data Preprocessing/8. EDD in R.mp4 | 96.98MB 18. Add on Data Preprocessing/8. EDD in R.srt | 11.55KB 18. Add on Data Preprocessing/9. Outlier Treatment.mp4 | 24.48MB 18. Add on Data Preprocessing/9. Outlier Treatment.srt | 4.46KB 19. Test Train Split/1. Test-train split.mp4 | 41.87MB 19. Test Train Split/1. Test-train split.srt | 10.05KB 19. Test Train Split/2. Bias Variance trade-off.mp4 | 25.09MB 19. Test Train Split/2. Bias Variance trade-off.srt | 6.37KB 19. Test Train Split/3. Test train split in Python.mp4 | 44.86MB 19. Test Train Split/3. Test train split in Python.srt | 8.05KB 19. Test Train Split/4. Test train split in R.mp4 | 75.62MB 19. Test Train Split/4. Test train split in R.srt | 8.37KB 2. Setting up Python and Jupyter Notebook/1. Installing Python and Anaconda.mp4 | 16.27MB 2. Setting up Python and Jupyter Notebook/1. Installing Python and Anaconda.srt | 2.58KB 2. Setting up Python and Jupyter Notebook/10. Working with Seaborn Library of Python.mp4 | 40.35MB 2. Setting up Python and Jupyter Notebook/10. Working with Seaborn Library of Python.srt | 7.53KB 2. Setting up Python and Jupyter Notebook/2. This is a milestone!.mp4 | 20.66MB 2. Setting up Python and Jupyter Notebook/2. This is a milestone!.srt | 3.78KB 2. Setting up Python and Jupyter Notebook/3. Opening Jupyter Notebook.mp4 | 65.20MB 2. Setting up Python and Jupyter Notebook/3. Opening Jupyter Notebook.srt | 9.14KB 2. Setting up Python and Jupyter Notebook/4. Introduction to Jupyter.mp4 | 40.92MB 2. Setting up Python and Jupyter Notebook/4. Introduction to Jupyter.srt | 12.31KB 2. Setting up Python and Jupyter Notebook/5. Arithmetic operators in Python Python Basics.mp4 | 12.74MB 2. Setting up Python and Jupyter Notebook/5. Arithmetic operators in Python Python Basics.srt | 3.99KB 2. Setting up Python and Jupyter Notebook/6. Strings in Python Python Basics.mp4 | 64.44MB 2. Setting up Python and Jupyter Notebook/6. Strings in Python Python Basics.srt | 16.43KB 2. Setting up Python and Jupyter Notebook/7. Lists, Tuples and Directories Python Basics.mp4 | 60.32MB 2. Setting up Python and Jupyter Notebook/7. Lists, Tuples and Directories Python Basics.srt | 17.01KB 2. Setting up Python and Jupyter Notebook/8. Working with Numpy Library of Python.mp4 | 43.88MB 2. Setting up Python and Jupyter Notebook/8. Working with Numpy Library of Python.srt | 10.47KB 2. Setting up Python and Jupyter Notebook/9. Working with Pandas Library of Python.mp4 | 46.89MB 2. Setting up Python and Jupyter Notebook/9. Working with Pandas Library of Python.srt | 8.15KB 2. Setting up Python and Jupyter Notebook/9.1 Customer.csv | 64.02KB 2. Setting up Python and Jupyter Notebook/9.2 Product.txt | 139.48KB 20. Bonus Section/1. The final milestone!.mp4 | 11.87MB 20. Bonus Section/1. The final milestone!.srt | 1.73KB 20. Bonus Section/2. Congratulations & About your certificate.html | 1.60KB 3. Setting up R Studio and R Crash Course/1. Installing R and R studio.mp4 | 35.69MB 3. Setting up R Studio and R Crash Course/1. Installing R and R studio.srt | 5.63KB 3. Setting up R Studio and R Crash Course/2. Basics of R and R studio.mp4 | 38.85MB 3. Setting up R Studio and R Crash Course/2. Basics of R and R studio.srt | 10.83KB 3. Setting up R Studio and R Crash Course/3. Packages in R.mp4 | 82.96MB 3. Setting up R Studio and R Crash Course/3. Packages in R.srt | 11.46KB 3. Setting up R Studio and R Crash Course/4. Inputting data part 1 Inbuilt datasets of R.mp4 | 40.72MB 3. Setting up R Studio and R Crash Course/4. Inputting data part 1 Inbuilt datasets of R.srt | 4.04KB 3. Setting up R Studio and R Crash Course/5. Inputting data part 2 Manual data entry.mp4 | 25.51MB 3. Setting up R Studio and R Crash Course/5. Inputting data part 2 Manual data entry.srt | 2.96KB 3. Setting up R Studio and R Crash Course/6. Inputting data part 3 Importing from CSV or Text files.mp4 | 60.06MB 3. Setting up R Studio and R Crash Course/6. Inputting data part 3 Importing from CSV or Text files.srt | 6.39KB 3. Setting up R Studio and R Crash Course/7. Creating Barplots in R.mp4 | 96.76MB 3. Setting up R Studio and R Crash Course/7. Creating Barplots in R.srt | 13.42KB 3. Setting up R Studio and R Crash Course/8. Creating Histograms in R.mp4 | 42.00MB 3. Setting up R Studio and R Crash Course/8. Creating Histograms in R.srt | 5.90KB 4. Single Cells - Perceptron and Sigmoid Neuron/1. Perceptron.mp4 | 44.75MB 4. Single Cells - Perceptron and Sigmoid Neuron/1. Perceptron.srt | 9.69KB 4. Single Cells - Perceptron and Sigmoid Neuron/2. Activation Functions.mp4 | 34.62MB 4. Single Cells - Perceptron and Sigmoid Neuron/2. Activation Functions.srt | 7.85KB 4. Single Cells - Perceptron and Sigmoid Neuron/3. Python - Creating Perceptron model.mp4 | 86.59MB 4. Single Cells - Perceptron and Sigmoid Neuron/3. Python - Creating Perceptron model.srt | 14.53KB 5. Neural Networks - Stacking cells to create network/1. Basic Terminologies.mp4 | 40.44MB 5. Neural Networks - Stacking cells to create network/1. Basic Terminologies.srt | 9.52KB 5. Neural Networks - Stacking cells to create network/2. Gradient Descent.mp4 | 60.34MB 5. Neural Networks - Stacking cells to create network/2. Gradient Descent.srt | 11.93KB 5. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 | 122.19MB 5. Neural Networks - Stacking cells to create network/3. Back Propagation.srt | 22.78KB 6. Important concepts Common Interview questions/1. Some Important Concepts.mp4 | 62.17MB 6. Important concepts Common Interview questions/1. Some Important Concepts.srt | 13.10KB 6. Important concepts Common Interview questions/2. Quiz.html | 206B 7. Standard Model Parameters/1. Hyperparameters.mp4 | 45.35MB 7. Standard Model Parameters/1. Hyperparameters.srt | 8.95KB 7. Standard Model Parameters/2. Quiz.html | 206B 8. Tensorflow and Keras/1. Keras and Tensorflow.mp4 | 14.91MB 8. Tensorflow and Keras/1. Keras and Tensorflow.srt | 3.56KB 8. Tensorflow and Keras/2. Installing Tensorflow and Keras in Python.mp4 | 20.06MB 8. Tensorflow and Keras/2. Installing Tensorflow and Keras in Python.srt | 3.79KB 8. Tensorflow and Keras/3. Installing TensorFlow and Keras in R.mp4 | 22.83MB 8. Tensorflow and Keras/3. Installing TensorFlow and Keras in R.srt | 2.98KB 9. Dataset for classification problem/1. Python - Dataset for classification problem.mp4 | 56.18MB 9. Dataset for classification problem/1. Python - Dataset for classification problem.srt | 7.16KB 9. Dataset for classification problem/2. Python - Normalization and Test-Train split.mp4 | 44.20MB 9. Dataset for classification problem/2. Python - Normalization and Test-Train split.srt | 5.73KB 9. Dataset for classification problem/3. R - Dataset, Normalization and Test-Train set.mp4 | 111.81MB 9. Dataset for classification problem/3. R - Dataset, Normalization and Test-Train set.srt | 12.07KB 9. Dataset for classification problem/4. More about test-train split.html | 559B