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[ FreeCourseWeb.com ] Udemy - Neural Networks in Python - Deep Learning for Beginners

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视频 2023-12-28 05:11 2024-12-23 21:59 120 3.02 GB 63
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FreeCourseWeb com Udemy - Neural Networks in Python - Deep Learning for Beginners

文件列表
  1. ~Get Your Files Here !/1. Introduction/1. Welcome to the course.mp421.42MB
  2. ~Get Your Files Here !/1. Introduction/2. Introduction to Neural Networks and Course flow.mp429.07MB
  3. ~Get Your Files Here !/1. Introduction/4. This is a milestone!.mp420.68MB
  4. ~Get Your Files Here !/10. Python - Building and training the Model/1. Different ways to create ANN using Keras.mp410.8MB
  5. ~Get Your Files Here !/10. Python - Building and training the Model/2. Building the Neural Network using Keras.mp479.14MB
  6. ~Get Your Files Here !/10. Python - Building and training the Model/3. Compiling and Training the Neural Network model.mp481.71MB
  7. ~Get Your Files Here !/10. Python - Building and training the Model/4. Evaluating performance and Predicting using Keras.mp469.92MB
  8. ~Get Your Files Here !/11. Python - Solving a Regression problem using ANN/1. Building Neural Network for Regression Problem.mp4155.87MB
  9. ~Get Your Files Here !/12. Complex ANN Architectures using Functional API/1. Using Functional API for complex architectures.mp492.12MB
  10. ~Get Your Files Here !/13. Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.mp4151.58MB
  11. ~Get Your Files Here !/14. Hyperparameter Tuning/1. Hyperparameter Tuning.mp460.63MB
  12. ~Get Your Files Here !/15. Add-on 1 Data Preprocessing/1. Gathering Business Knowledge.mp422.28MB
  13. ~Get Your Files Here !/15. Add-on 1 Data Preprocessing/10. Missing Value Imputation.mp425.01MB
  14. ~Get Your Files Here !/15. Add-on 1 Data Preprocessing/11. Missing Value Imputation in Python.mp423.42MB
  15. ~Get Your Files Here !/15. Add-on 1 Data Preprocessing/12. Seasonality in Data.mp417.02MB
  16. ~Get Your Files Here !/15. Add-on 1 Data Preprocessing/13. Bi-variate analysis and Variable transformation.mp4100.42MB
  17. ~Get Your Files Here !/15. Add-on 1 Data Preprocessing/14. Variable transformation and deletion in Python.mp444.08MB
  18. ~Get Your Files Here !/15. Add-on 1 Data Preprocessing/15. Non-usable variables.mp420.24MB
  19. ~Get Your Files Here !/15. Add-on 1 Data Preprocessing/16. Dummy variable creation Handling qualitative data.mp436.83MB
  20. ~Get Your Files Here !/15. Add-on 1 Data Preprocessing/17. Dummy variable creation in Python.mp426.53MB
  21. ~Get Your Files Here !/15. Add-on 1 Data Preprocessing/18. Correlation Analysis.mp471.59MB
  22. ~Get Your Files Here !/15. Add-on 1 Data Preprocessing/19. Correlation Analysis in Python.mp455.31MB
  23. ~Get Your Files Here !/15. Add-on 1 Data Preprocessing/2. Data Exploration.mp420.51MB
  24. ~Get Your Files Here !/15. Add-on 1 Data Preprocessing/3. The Dataset and the Data Dictionary.mp469.38MB
  25. ~Get Your Files Here !/15. Add-on 1 Data Preprocessing/5. Importing Data in Python.mp427.83MB
  26. ~Get Your Files Here !/15. Add-on 1 Data Preprocessing/6. Univariate analysis and EDD.mp424.19MB
  27. ~Get Your Files Here !/15. Add-on 1 Data Preprocessing/7. EDD in Python.mp461.78MB
  28. ~Get Your Files Here !/15. Add-on 1 Data Preprocessing/8. Outlier Treatment.mp424.48MB
  29. ~Get Your Files Here !/15. Add-on 1 Data Preprocessing/9. Outlier Treatment in Python.mp470.23MB
  30. ~Get Your Files Here !/16. Add-on 2 Classic ML models - Linear Regression/1. The Problem Statement.mp49.38MB
  31. ~Get Your Files Here !/16. Add-on 2 Classic ML models - Linear Regression/10. Test-train split.mp441.87MB
  32. ~Get Your Files Here !/16. Add-on 2 Classic ML models - Linear Regression/11. Bias Variance trade-off.mp425.1MB
  33. ~Get Your Files Here !/16. Add-on 2 Classic ML models - Linear Regression/12. Test train split in Python.mp444.86MB
  34. ~Get Your Files Here !/16. Add-on 2 Classic ML models - Linear Regression/2. Basic Equations and Ordinary Least Squares (OLS) method.mp443.35MB
  35. ~Get Your Files Here !/16. Add-on 2 Classic ML models - Linear Regression/3. Assessing accuracy of predicted coefficients.mp492.14MB
  36. ~Get Your Files Here !/16. Add-on 2 Classic ML models - Linear Regression/4. Assessing Model Accuracy RSE and R squared.mp443.63MB
  37. ~Get Your Files Here !/16. Add-on 2 Classic ML models - Linear Regression/5. Simple Linear Regression in Python.mp463.43MB
  38. ~Get Your Files Here !/16. Add-on 2 Classic ML models - Linear Regression/6. Multiple Linear Regression.mp434.32MB
  39. ~Get Your Files Here !/16. Add-on 2 Classic ML models - Linear Regression/7. The F - statistic.mp456.01MB
  40. ~Get Your Files Here !/16. Add-on 2 Classic ML models - Linear Regression/8. Interpreting results of Categorical variables.mp422.5MB
  41. ~Get Your Files Here !/16. Add-on 2 Classic ML models - Linear Regression/9. Multiple Linear Regression in Python.mp469.74MB
  42. ~Get Your Files Here !/18. Bonus Section/1. The final milestone!.mp411.83MB
  43. ~Get Your Files Here !/2. Setting up Python and Jupyter Notebook/1. Installing Python and Anaconda.mp416.26MB
  44. ~Get Your Files Here !/2. Setting up Python and Jupyter Notebook/2. Opening Jupyter Notebook.mp465.17MB
  45. ~Get Your Files Here !/2. Setting up Python and Jupyter Notebook/3. Introduction to Jupyter.mp440.92MB
  46. ~Get Your Files Here !/2. Setting up Python and Jupyter Notebook/4. Arithmetic operators in Python Python Basics.mp412.75MB
  47. ~Get Your Files Here !/2. Setting up Python and Jupyter Notebook/5. Strings in Python Python Basics.mp464.43MB
  48. ~Get Your Files Here !/2. Setting up Python and Jupyter Notebook/6. Lists, Tuples and Directories Python Basics.mp460.32MB
  49. ~Get Your Files Here !/2. Setting up Python and Jupyter Notebook/7. Working with Numpy Library of Python.mp443.87MB
  50. ~Get Your Files Here !/2. Setting up Python and Jupyter Notebook/8. Working with Pandas Library of Python.mp446.89MB
  51. ~Get Your Files Here !/2. Setting up Python and Jupyter Notebook/9. Working with Seaborn Library of Python.mp440.35MB
  52. ~Get Your Files Here !/3. Single Cells - Perceptron and Sigmoid Neuron/1. Perceptron.mp444.76MB
  53. ~Get Your Files Here !/3. Single Cells - Perceptron and Sigmoid Neuron/2. Activation Functions.mp434.61MB
  54. ~Get Your Files Here !/3. Single Cells - Perceptron and Sigmoid Neuron/3. Python - Creating Perceptron model.mp486.59MB
  55. ~Get Your Files Here !/4. Neural Networks - Stacking cells to create network/1. Basic Terminologies.mp440.42MB
  56. ~Get Your Files Here !/4. Neural Networks - Stacking cells to create network/2. Gradient Descent.mp460.32MB
  57. ~Get Your Files Here !/4. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4122.2MB
  58. ~Get Your Files Here !/5. Important concepts Common Interview questions/1. Some Important Concepts.mp462.17MB
  59. ~Get Your Files Here !/6. Standard Model Parameters/1. Hyperparameters.mp445.35MB
  60. ~Get Your Files Here !/8. Tensorflow and Keras/1. Keras and Tensorflow.mp414.93MB
  61. ~Get Your Files Here !/8. Tensorflow and Keras/2. Installing Tensorflow and Keras.mp420.07MB
  62. ~Get Your Files Here !/9. Python - Dataset for classification problem/1. Dataset for classification.mp456.12MB
  63. ~Get Your Files Here !/9. Python - Dataset for classification problem/2. Normalization and Test-Train split.mp444.19MB
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