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- 【影视】 [FreeCourseSite.com] Udemy - Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023
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41 - Kernel PCA/002 Kernel PCA in R.mp4 239.9 MB
37 - Convolutional Neural Networks/001 dataset.zip 232.0 MB
29 - Apriori/008 Apriori in R - Step 3.mp4 169.5 MB
20 - Naive Bayes/001 Bayes Theorem.mp4 152.7 MB
36 - Artificial Neural Networks/015 ANN in R - Step 1.mp4 139.2 MB
29 - Apriori/005 Apriori in Python - Step 4.mp4 122.4 MB
36 - Artificial Neural Networks/017 ANN in R - Step 3.mp4 121.3 MB
43 - Model Selection/002 Grid Search in Python.mp4 120.0 MB
37 - Convolutional Neural Networks/015 CNN in Python - FINAL DEMO!.mp4 117.5 MB
35 - -------------------- Part 8 Deep Learning --------------------/002 What is Deep Learning.mp4 107.9 MB
39 - Principal Component Analysis (PCA)/004 PCA in R - Step 1.mp4 105.5 MB
37 - Convolutional Neural Networks/011 CNN in Python - Step 2.mp4 104.9 MB
32 - Upper Confidence Bound (UCB)/012 Upper Confidence Bound in R - Step 3.mp4 103.8 MB
29 - Apriori/007 Apriori in R - Step 2.mp4 101.3 MB
32 - Upper Confidence Bound (UCB)/001 The Multi-Armed Bandit Problem.mp4 101.1 MB
40 - Linear Discriminant Analysis (LDA)/003 LDA in R.mp4 98.2 MB
37 - Convolutional Neural Networks/005 Step 2 - Pooling.mp4 91.7 MB
39 - Principal Component Analysis (PCA)/002 PCA in Python - Step 1.mp4 90.2 MB
37 - Convolutional Neural Networks/014 CNN in Python - Step 5.mp4 89.0 MB
36 - Artificial Neural Networks/011 ANN in Python - Step 2.mp4 88.6 MB
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- 【影视】 [GigaCourse.Com] Udemy - Machine Learning A-Z™ AI, Python & R + ChatGPT Bonus [2023]
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41 - Kernel PCA/002 Kernel PCA in R.mp4 239.9 MB
37 - Convolutional Neural Networks/001 dataset.zip 232.0 MB
29 - Apriori/008 Apriori in R - Step 3.mp4 169.5 MB
20 - Naive Bayes/001 Bayes Theorem.mp4 152.7 MB
36 - Artificial Neural Networks/015 ANN in R - Step 1.mp4 139.2 MB
29 - Apriori/005 Apriori in Python - Step 4.mp4 122.4 MB
36 - Artificial Neural Networks/017 ANN in R - Step 3.mp4 121.3 MB
43 - Model Selection/002 Grid Search in Python.mp4 120.0 MB
37 - Convolutional Neural Networks/015 CNN in Python - FINAL DEMO!.mp4 117.5 MB
35 - -------------------- Part 8 Deep Learning --------------------/002 What is Deep Learning.mp4 107.9 MB
39 - Principal Component Analysis (PCA)/004 PCA in R - Step 1.mp4 105.5 MB
37 - Convolutional Neural Networks/011 CNN in Python - Step 2.mp4 104.9 MB
32 - Upper Confidence Bound (UCB)/012 Upper Confidence Bound in R - Step 3.mp4 103.8 MB
29 - Apriori/007 Apriori in R - Step 2.mp4 101.3 MB
32 - Upper Confidence Bound (UCB)/001 The Multi-Armed Bandit Problem.mp4 101.1 MB
40 - Linear Discriminant Analysis (LDA)/003 LDA in R.mp4 98.2 MB
37 - Convolutional Neural Networks/005 Step 2 - Pooling.mp4 91.7 MB
39 - Principal Component Analysis (PCA)/002 PCA in Python - Step 1.mp4 90.2 MB
37 - Convolutional Neural Networks/014 CNN in Python - Step 5.mp4 89.0 MB
36 - Artificial Neural Networks/011 ANN in Python - Step 2.mp4 88.6 MB
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- 【影视】 [GigaCourse.Com] Udemy - 2021 Python for Machine Learning & Data Science Masterclass
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23 Hierarchical Clustering/004 Hierarchical Clustering - Coding Part Two - Scikit-Learn.mp4 218.8 MB
05 Pandas/028 Pandas Project Exercise Solutions.mp4 181.0 MB
13 Logistic Regression/016 Logistic Regression Project Exercise - Solutions.mp4 152.6 MB
08 Data Analysis and Visualization Capstone Project Exercise/004 Capstone Project Solutions - Part Three.mp4 143.9 MB
17 Random Forests/007 Coding Classification with Random Forest Classifier - Part Two.mp4 136.7 MB
05 Pandas/026 Pandas Pivot Tables.mp4 135.0 MB
24 DBSCAN - Density-based spatial clustering of applications with noise/007 DBSCAN - Outlier Project Exercise Solutions.mp4 134.2 MB
11 Feature Engineering and Data Preparation/003 Dealing with Outliers.mp4 126.5 MB
11 Feature Engineering and Data Preparation/005 Dealing with Missing Data _ Part Two - Filling or Dropping data based on Rows.mp4 123.3 MB
16 Tree Based Methods_ Decision Tree Learning/008 Coding Decision Trees - Part Two -Creating the Model.mp4 121.5 MB
23 Hierarchical Clustering/003 Hierarchical Clustering - Coding Part One - Data and Visualization.mp4 120.4 MB
07 Seaborn Data Visualizations/002 Scatterplots with Seaborn.mp4 116.5 MB
24 DBSCAN - Density-based spatial clustering of applications with noise/002 DBSCAN - Theory and Intuition.mp4 114.4 MB
20 Naive Bayes Classification and Natural Language Processing (Supervised Learning)/010 Text Classification Project Exercise Solutions.mp4 113.3 MB
22 K-Means Clustering/011 K-Means Clustering Exercise Solution - Part Two.mp4 113.1 MB
08 Data Analysis and Visualization Capstone Project Exercise/003 Capstone Project Solutions - Part Two.mp4 111.4 MB
06 Matplotlib/011 Matplotlib Exercise Questions - Solutions.mp4 111.0 MB
07 Seaborn Data Visualizations/014 Seaborn Plot Exercises Solutions.mp4 110.8 MB
11 Feature Engineering and Data Preparation/006 Dealing with Missing Data _ Part 3 - Fixing data based on Columns.mp4 110.4 MB
24 DBSCAN - Density-based spatial clustering of applications with noise/005 DBSCAN - Hyperparameter Tuning Methods.mp4 110.2 MB
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- 【影视】 [FreeCourseSite.com] Udemy - 2021 Python for Machine Learning & Data Science Masterclass
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23 Hierarchical Clustering/004 Hierarchical Clustering - Coding Part Two - Scikit-Learn.mp4 218.8 MB
05 Pandas/028 Pandas Project Exercise Solutions.mp4 181.0 MB
13 Logistic Regression/016 Logistic Regression Project Exercise - Solutions.mp4 152.6 MB
08 Data Analysis and Visualization Capstone Project Exercise/004 Capstone Project Solutions - Part Three.mp4 143.9 MB
17 Random Forests/007 Coding Classification with Random Forest Classifier - Part Two.mp4 136.7 MB
05 Pandas/026 Pandas Pivot Tables.mp4 135.0 MB
24 DBSCAN - Density-based spatial clustering of applications with noise/007 DBSCAN - Outlier Project Exercise Solutions.mp4 134.2 MB
11 Feature Engineering and Data Preparation/003 Dealing with Outliers.mp4 126.5 MB
11 Feature Engineering and Data Preparation/005 Dealing with Missing Data _ Part Two - Filling or Dropping data based on Rows.mp4 123.3 MB
16 Tree Based Methods_ Decision Tree Learning/008 Coding Decision Trees - Part Two -Creating the Model.mp4 121.5 MB
23 Hierarchical Clustering/003 Hierarchical Clustering - Coding Part One - Data and Visualization.mp4 120.4 MB
07 Seaborn Data Visualizations/002 Scatterplots with Seaborn.mp4 116.5 MB
24 DBSCAN - Density-based spatial clustering of applications with noise/002 DBSCAN - Theory and Intuition.mp4 114.4 MB
20 Naive Bayes Classification and Natural Language Processing (Supervised Learning)/010 Text Classification Project Exercise Solutions.mp4 113.3 MB
22 K-Means Clustering/011 K-Means Clustering Exercise Solution - Part Two.mp4 113.1 MB
08 Data Analysis and Visualization Capstone Project Exercise/003 Capstone Project Solutions - Part Two.mp4 111.4 MB
06 Matplotlib/011 Matplotlib Exercise Questions - Solutions.mp4 111.0 MB
07 Seaborn Data Visualizations/014 Seaborn Plot Exercises Solutions.mp4 110.8 MB
11 Feature Engineering and Data Preparation/006 Dealing with Missing Data _ Part 3 - Fixing data based on Columns.mp4 110.4 MB
24 DBSCAN - Density-based spatial clustering of applications with noise/005 DBSCAN - Hyperparameter Tuning Methods.mp4 110.2 MB
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23 Hierarchical Clustering/004 Hierarchical Clustering - Coding Part Two - Scikit-Learn.mp4 218.8 MB
05 Pandas/028 Pandas Project Exercise Solutions.mp4 181.0 MB
13 Logistic Regression/016 Logistic Regression Project Exercise - Solutions.mp4 152.6 MB
08 Data Analysis and Visualization Capstone Project Exercise/004 Capstone Project Solutions - Part Three.mp4 143.9 MB
17 Random Forests/007 Coding Classification with Random Forest Classifier - Part Two.mp4 136.7 MB
05 Pandas/026 Pandas Pivot Tables.mp4 135.0 MB
24 DBSCAN - Density-based spatial clustering of applications with noise/007 DBSCAN - Outlier Project Exercise Solutions.mp4 134.2 MB
11 Feature Engineering and Data Preparation/003 Dealing with Outliers.mp4 126.5 MB
11 Feature Engineering and Data Preparation/005 Dealing with Missing Data _ Part Two - Filling or Dropping data based on Rows.mp4 123.3 MB
16 Tree Based Methods_ Decision Tree Learning/008 Coding Decision Trees - Part Two -Creating the Model.mp4 121.5 MB
23 Hierarchical Clustering/003 Hierarchical Clustering - Coding Part One - Data and Visualization.mp4 120.4 MB
07 Seaborn Data Visualizations/002 Scatterplots with Seaborn.mp4 116.5 MB
24 DBSCAN - Density-based spatial clustering of applications with noise/002 DBSCAN - Theory and Intuition.mp4 114.4 MB
20 Naive Bayes Classification and Natural Language Processing (Supervised Learning)/010 Text Classification Project Exercise Solutions.mp4 113.3 MB
22 K-Means Clustering/011 K-Means Clustering Exercise Solution - Part Two.mp4 113.1 MB
08 Data Analysis and Visualization Capstone Project Exercise/003 Capstone Project Solutions - Part Two.mp4 111.4 MB
06 Matplotlib/011 Matplotlib Exercise Questions - Solutions.mp4 111.0 MB
07 Seaborn Data Visualizations/014 Seaborn Plot Exercises Solutions.mp4 110.8 MB
11 Feature Engineering and Data Preparation/006 Dealing with Missing Data _ Part 3 - Fixing data based on Columns.mp4 110.4 MB
24 DBSCAN - Density-based spatial clustering of applications with noise/005 DBSCAN - Hyperparameter Tuning Methods.mp4 110.2 MB
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mechanicical/classical-mechanics/about-the-professor 511 Bytes
mechanicical/classical-mechanics/homework 796 Bytes
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hitman/Hitman_ATMFIC/readme.nfo 3.2 kB
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Assimil German without Toil (1965) with PDF/001. Assimil - Deutsch ohne Mühe.mp3 616.9 kB
Assimil German without Toil (1965) with PDF/002. Assimil - Deutsch ohne Mühe.mp3 1.0 MB
Assimil German without Toil (1965) with PDF/003. Assimil - Deutsch ohne Mühe.mp3 397.3 kB
Assimil German without Toil (1965) with PDF/004. Assimil - Deutsch ohne Mühe.mp3 419.4 kB
Assimil German without Toil (1965) with PDF/005. Assimil - Deutsch ohne Mühe.mp3 529.6 kB
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Assimil German without Toil (1965) with PDF/007. Assimil - Deutsch ohne Mühe.mp3 12.7 kB
Assimil German without Toil (1965) with PDF/008. Assimil - Deutsch ohne Mühe.mp3 876.9 kB
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Assimil German without Toil (1965) with PDF/010. Assimil - Deutsch ohne Mühe.mp3 674.8 kB
Assimil German without Toil (1965) with PDF/011. Assimil - Deutsch ohne Mühe.mp3 656.2 kB
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Assimil German without Toil (1965) with PDF/015. Assimil - Deutsch ohne Mühe.mp3 749.0 kB
Assimil German without Toil (1965) with PDF/016. Assimil - Deutsch ohne Mühe.mp3 686.5 kB
Assimil German without Toil (1965) with PDF/017. Assimil - Deutsch ohne Mühe.mp3 737.1 kB
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5. Getting Started with Gradient Descent/9. Why a Learning Rate.mp4 196.4 MB
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6. Gradient Descent with Tensorflow/8. Interpreting Results.mp4 106.7 MB
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11. Multi-Value Classification/9. Marginal vs Conditional Probability.mp4 99.8 MB
5. Getting Started with Gradient Descent/4. Guessing Coefficients with MSE.mp4 98.0 MB
2. Algorithm Overview/1. How K-Nearest Neighbor Works.mp4 97.9 MB
4. Applications of Tensorflow/11. Normalization or Standardization.mp4 97.5 MB
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4. Applications of Tensorflow/8. Loading CSV Data.mp4 93.7 MB
12. Image Recognition In Action/8. Debugging the Calculation Process.mp4 93.4 MB
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[TutsNode.net] - Build 25 Real World Machine Learning Project In 2022/23. Project-22 DNA classification/7. final.mp4 335.8 MB
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[TutsNode.net] - Build 25 Real World Machine Learning Project In 2022/26. Project-25 Sucide rate trend analysis/5. final.mp4 260.5 MB
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[TutsNode.net] - Build 25 Real World Machine Learning Project In 2022/5. Project-4 Car price prediction/3. creating and hypertunning model - car price prediction.mp4 198.1 MB
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