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27. Data Transformation in R/3. Filtering Rows with Filter Function in R programming.mp4 177.9 MB
18. Projects Python projects, Data science projects, machine learning/2. Project - 2.mp4 177.5 MB
11. Geoplotlib/3.1 world_cities_pop.csv 164.3 MB
12. Data Science Hands-On Projects/6. Answer for Housing and Property Sales Project.mp4 162.6 MB
12. Data Science Hands-On Projects/8. Answers for English Premier League Project.mp4 161.0 MB
13. Machine Learning/15. Choosing the right algorithm and model in deep learning.mp4 156.1 MB
27. Data Transformation in R/6. Grouped Summaries with Summarize Function in R.mp4 155.8 MB
12. Data Science Hands-On Projects/4. Bike Sharing Project Answers.mp4 154.4 MB
25. Data Frames/3. Manipulating Values in DF.mp4 152.3 MB
20. Data Management in R/3. Graphs and Charts in Python data science.mp4 146.6 MB
26. Factors in R/2. Manipulating Categorical Data with Forcats in R.mp4 139.2 MB
27. Data Transformation in R/4. Arranging Rows with Arrange Function in R.mp4 135.6 MB
9. Matplotlib/8. Basic Plots in Matplotlib I.mp4 109.5 MB
8. Data Frame with Pandas/9. Combining Data Frames in Pandas.mp4 108.6 MB
18. Projects Python projects, Data science projects, machine learning/1. Project - 1.mp4 106.5 MB
10. Seaborn/5. Basic Plots in Seaborn.mp4 97.3 MB
12. Data Science Hands-On Projects/2. Titanic Project Answers in python projects.mp4 93.3 MB
13. Machine Learning/12. Unsupervised Machine Learning Methods.mp4 92.2 MB
17. Transfer Learning/1. What is Transfer Learning.mp4 89.5 MB
8. Data Frame with Pandas/10. Combining Data Frames Part – II.mp4 88.3 MB

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[FreeAllCourse.Com] Udemy - Deep Learning A-Z™ Hands-On Artificial Neural Networks

1. Welcome to the course/6.2 DL Colab Changes.zip.zip 293.5 MB
1. Welcome to the course/1. Updates on Udemy Reviews.mp4 64.1 MB
6. Evaluating, Improving and Tuning the ANN/1. Evaluating the ANN.mp4 58.5 MB
14. RNN Intuition/6. Practical intuition.mp4 55.4 MB
26. Building an AutoEncoder/16. THANK YOU bonus video.mp4 54.8 MB
6. Evaluating, Improving and Tuning the ANN/3. Tuning the ANN.mp4 53.2 MB
26. Building an AutoEncoder/8. Building an AutoEncoder - Step 4.mp4 52.0 MB
10. Building a CNN/12. Building a CNN - Step 9.mp4 49.1 MB
14. RNN Intuition/5. LSTMs.mp4 48.2 MB
4. Building an ANN/6. Building an ANN - Step 2.mp4 48.1 MB
23. Building a Boltzmann Machine/8. Building a Boltzmann Machine - Step 4.mp4 47.9 MB
18. SOMs Intuition/8. Reading an Advanced SOM.mp4 45.3 MB
23. Building a Boltzmann Machine/17. Building a Boltzmann Machine - Step 13.mp4 45.1 MB
9. CNN Intuition/8. Step 4 - Full Connection.mp4 44.8 MB
30. Classification Template/5. Logistic Regression Implementation - Step 5.mp4 44.6 MB
11. Homework - What's that pet/2. Homework Solution.mp4 42.9 MB
23. Building a Boltzmann Machine/18. Building a Boltzmann Machine - Step 14.mp4 42.4 MB
9. CNN Intuition/6. Step 2 - Pooling.mp4 42.2 MB
15. Building a RNN/15. Building a RNN - Step 13.mp4 41.8 MB
26. Building an AutoEncoder/10. Building an AutoEncoder - Step 6.mp4 39.8 MB

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~Get Your Files Here !/05 - 4. Model Training and Performance Analysis/02 - Model predictions and evaluation.mp4 32.1 MB
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~Get Your Files Here !/07 - 6. Tools for Visualization and Assessment/03 - Visualizing computation graphs with TensorBoard.mp4 25.4 MB
~Get Your Files Here !/04 - 3. Getting Started with Keras Models/04 - Building a model using the Sequential API.mp4 22.5 MB
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~Get Your Files Here !/04. Case Study.Churn Prediction/14. Results.mp4 11.6 MB
~Get Your Files Here !/02. Deep Learning in Retail Applications/02. Use Case.Customer Segmentation.mp4 9.6 MB
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~Get Your Files Here !/05. Summary/16. Summary.mp4 7.3 MB
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~Get Your Files Here !/Exercise Files/02/deep-learning-in-retail-applications-slides.pdf 6.1 MB
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~Get Your Files Here !/02. Deep Learning in Retail Applications/03. Use Case.Inventory Management.mp4 5.6 MB
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[ FreeCourseWeb.com ] Udemy - Deep Learning for NLP - Part 4

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~Get Your Files Here !/2. Cross-lingual models Part 2/3. XTREME-R.mp4 155.7 MB
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[FreeCourseSite.com] Udemy - Deep Learning A-Z 2025 Neural Networks, AI & ChatGPT Prize

06. CNN Intuition/8. How Do Fully Connected Layers Work in Convolutional Neural Networks (CNNs).mp4 192.2 MB
07. Building a CNN/7. Develop an Image Recognition System Using Convolutional Neural Networks.mp4 161.6 MB
09. RNN Intuition/6. How LSTMs Work in Practice Visualizing Neural Network Predictions.mp4 159.4 MB
18. Building a Boltzmann Machine/16. Step 13 - RBM Training Updating Weights and Biases with Contrastive Divergence.mp4 151.1 MB
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13. SOMs Intuition/8. Understanding K-Means Clustering Intuitive Explanation with Visual Examples.mp4 132.4 MB
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07. Building a CNN/3. Step 2 - Deep Learning Preprocessing Scaling & Transforming Images for CNNs.mp4 115.2 MB
09. RNN Intuition/3. What is a Recurrent Neural Network (RNN) Deep Learning for Sequential Data.mp4 113.5 MB
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10. Building a RNN/5. Step 4 - Building X_train and y_train Arrays for LSTM Time Series Forecasting.mp4 108.8 MB
18. Building a Boltzmann Machine/7. Step 4 - Convert Training & Test Sets to RBM-Ready Arrays in Python.mp4 108.3 MB
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