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Machine Learning Crash Course for Beginners using Python [UdemyLibrary.com]
大小 3.3 GB
文件数 106
Info Hash: 570B2DC73326F26BB7F968F80431F5BB595020EF
收录时间 2026-02-09 19:15:25
更新时间 2026-02-09 19:15:25
文件列表 (106)
12. Hands-on Machine Learning Project Using Scikit-Learn/4. Face Recognition Project with Python.mp4
203.87 MB
1. Introduction to the Course/1. Introduction to the Course.mp4
23.83 MB
1. Introduction to the Course/1. Introduction to the Course.srt
4.1 KB
1. Introduction to the Course/2. Focus of the Course.mp4
32.62 MB
1. Introduction to the Course/2. Focus of the Course.srt
12.86 KB
1. Introduction to the Course/3. Python Practical of the Course.mp4
46 MB
1. Introduction to the Course/3. Python Practical of the Course.srt
8.96 KB
1. Introduction to the Course/4. Your Feedback and Review.mp4
28.94 MB
1. Introduction to the Course/4. Your Feedback and Review.srt
2.44 KB
1. Introduction to the Course/5. Link to the Python codes for the projects and the data.html
744 B
2. Why Machine Learning/1. Machine Learning Applications-Part 1.mp4
67.94 MB
2. Why Machine Learning/1. Machine Learning Applications-Part 1.srt
10.73 KB
2. Why Machine Learning/2. Machine Learning Applications-Part 2.mp4
73.09 MB
2. Why Machine Learning/2. Machine Learning Applications-Part 2.srt
10.93 KB
2. Why Machine Learning/3. Why Machine Learning is Trending Now.mp4
34.48 MB
2. Why Machine Learning/3. Why Machine Learning is Trending Now.srt
10.39 KB
3. Process of Learning from Data/1. Supervised Learning.mp4
74.8 MB
3. Process of Learning from Data/1. Supervised Learning.srt
11.87 KB
3. Process of Learning from Data/2. UnSupervised Learning and Reinforcement Learning.mp4
70.07 MB
3. Process of Learning from Data/2. UnSupervised Learning and Reinforcement Learning.srt
13.14 KB
4. Machine Learning Methods/1. Features.mp4
83.03 MB
4. Machine Learning Methods/1. Features.srt
15.76 KB
4. Machine Learning Methods/2. Features Practice with Python.mp4
111.32 MB
4. Machine Learning Methods/2. Features Practice with Python.srt
18.85 KB
4. Machine Learning Methods/3. Regression.mp4
25.97 MB
4. Machine Learning Methods/3. Regression.srt
4.8 KB
4. Machine Learning Methods/4. Regression Practice with Python.mp4
100.16 MB
4. Machine Learning Methods/4. Regression Practice with Python.srt
23.79 KB
4. Machine Learning Methods/5. Classsification.mp4
20.59 MB
4. Machine Learning Methods/5. Classsification.srt
5.8 KB
4. Machine Learning Methods/6. Classification Practice with Python.mp4
37.57 MB
4. Machine Learning Methods/6. Classification Practice with Python.srt
6.77 KB
4. Machine Learning Methods/7. Clustering.mp4
22.57 MB
4. Machine Learning Methods/7. Clustering.srt
5.63 KB
4. Machine Learning Methods/8. Clustering Practice with Python.mp4
39.21 MB
4. Machine Learning Methods/8. Clustering Practice with Python.srt
7.92 KB
5. Data Preparation and Preprocessing/1. Handling Image Data.mp4
40.3 MB
5. Data Preparation and Preprocessing/1. Handling Image Data.srt
9.31 KB
5. Data Preparation and Preprocessing/2. Handling Video and Audio Data.mp4
47.43 MB
5. Data Preparation and Preprocessing/2. Handling Video and Audio Data.srt
11.55 KB
5. Data Preparation and Preprocessing/3. Handling Text Data.mp4
60.36 MB
5. Data Preparation and Preprocessing/3. Handling Text Data.srt
10.38 KB
5. Data Preparation and Preprocessing/4. One Hot Encoding.mp4
133.19 MB
5. Data Preparation and Preprocessing/4. One Hot Encoding.srt
21.95 KB
5. Data Preparation and Preprocessing/5. Data Standardization.mp4
90.37 MB
5. Data Preparation and Preprocessing/5. Data Standardization.srt
17.61 KB
6. Machine Learning Models and Optimization/1. Machine Learning Model 1.mp4
44.3 MB
6. Machine Learning Models and Optimization/1. Machine Learning Model 1.srt
11.91 KB
6. Machine Learning Models and Optimization/2. Machine Learning Model 2.mp4
77.84 MB
6. Machine Learning Models and Optimization/2. Machine Learning Model 2.srt
15.15 KB
6. Machine Learning Models and Optimization/3. Machine Learning Model 3.mp4
56.1 MB
6. Machine Learning Models and Optimization/3. Machine Learning Model 3.srt
11.82 KB
6. Machine Learning Models and Optimization/4. Training Process, Error, Cost and Loss.mp4
55.54 MB
6. Machine Learning Models and Optimization/4. Training Process, Error, Cost and Loss.srt
10.9 KB
6. Machine Learning Models and Optimization/5. Optimization.mp4
71.38 MB
6. Machine Learning Models and Optimization/5. Optimization.srt
15.69 KB
7. Building Machine Learning Model from Scratch/1. Linear Regression from Scratch- Part 1.mp4
33.13 MB
7. Building Machine Learning Model from Scratch/1. Linear Regression from Scratch- Part 1.srt
8.99 KB
7. Building Machine Learning Model from Scratch/2. Linear Regression from Scratch- Part 2.mp4
90.96 MB
7. Building Machine Learning Model from Scratch/2. Linear Regression from Scratch- Part 2.srt
17.65 KB
7. Building Machine Learning Model from Scratch/3. Minimun-to-mean Distance Classifier from Scratch- Part 1.mp4
33.56 MB
7. Building Machine Learning Model from Scratch/3. Minimun-to-mean Distance Classifier from Scratch- Part 1.srt
8.44 KB
7. Building Machine Learning Model from Scratch/4. Minimun-to-mean Distance Classifier from Scratch- Part 2.mp4
45.37 MB
7. Building Machine Learning Model from Scratch/4. Minimun-to-mean Distance Classifier from Scratch- Part 2.srt
8.45 KB
7. Building Machine Learning Model from Scratch/5. K-means Clustering from Scratch- Part 1.mp4
30.96 MB
7. Building Machine Learning Model from Scratch/5. K-means Clustering from Scratch- Part 1.srt
7.78 KB
7. Building Machine Learning Model from Scratch/6. K-means Clustering from Scratch- Part 2.mp4
100.59 MB
7. Building Machine Learning Model from Scratch/6. K-means Clustering from Scratch- Part 2.srt
17.66 KB
8. Overfitting, Underfitting and Generalization/1. Overfitting Introduction.mp4
40.59 MB
8. Overfitting, Underfitting and Generalization/1. Overfitting Introduction.srt
6.92 KB
8. Overfitting, Underfitting and Generalization/2. Overfitting example on Python.mp4
75.83 MB
8. Overfitting, Underfitting and Generalization/2. Overfitting example on Python.srt
14.94 KB
8. Overfitting, Underfitting and Generalization/3. Regularization.mp4
108.88 MB
8. Overfitting, Underfitting and Generalization/3. Regularization.srt
17.6 KB
8. Overfitting, Underfitting and Generalization/4. Generalization.mp4
67.77 MB
8. Overfitting, Underfitting and Generalization/4. Generalization.srt
12.38 KB
8. Overfitting, Underfitting and Generalization/5. Data Snooping and the Test Set.mp4
100.72 MB
8. Overfitting, Underfitting and Generalization/5. Data Snooping and the Test Set.srt
15.16 KB
8. Overfitting, Underfitting and Generalization/6. Cross-validation.mp4
57.78 MB
8. Overfitting, Underfitting and Generalization/6. Cross-validation.srt
13.26 KB
9. Machine Learning Model Performance Metrics/1. The Accuracy.mp4
34.34 MB
9. Machine Learning Model Performance Metrics/1. The Accuracy.srt
6.94 KB
9. Machine Learning Model Performance Metrics/2. The Confusion Matrix.mp4
47.18 MB
9. Machine Learning Model Performance Metrics/2. The Confusion Matrix.srt
9.17 KB
10. Dimensionality Reduction/1. The Curse of Dimensionality.mp4
105.01 MB
10. Dimensionality Reduction/1. The Curse of Dimensionality.srt
15.94 KB
10. Dimensionality Reduction/2. The Principal Component Analysis (PCA).mp4
52.13 MB
10. Dimensionality Reduction/2. The Principal Component Analysis (PCA).srt
11.23 KB
11. Deep Learning Overview/1. Introduction to Deep Neural Networks (DNN).mp4
51.34 MB
11. Deep Learning Overview/1. Introduction to Deep Neural Networks (DNN).srt
11.46 KB
11. Deep Learning Overview/2. Introduction to Convolutional Neural Networks (CNN).mp4
30.55 MB
11. Deep Learning Overview/2. Introduction to Convolutional Neural Networks (CNN).srt
7.42 KB
11. Deep Learning Overview/3. Introduction to Recurrent Neural Networks (CNN).mp4
44.68 MB
11. Deep Learning Overview/3. Introduction to Recurrent Neural Networks (CNN).srt
11.71 KB
12. Hands-on Machine Learning Project Using Scikit-Learn/1. Principal Component Analysis (PCA) with Python.mp4
76.26 MB
12. Hands-on Machine Learning Project Using Scikit-Learn/1. Principal Component Analysis (PCA) with Python.srt
11.99 KB
12. Hands-on Machine Learning Project Using Scikit-Learn/2. Pipeline in Scikit-Learn for Machine Learning Project.mp4
73.17 MB
12. Hands-on Machine Learning Project Using Scikit-Learn/2. Pipeline in Scikit-Learn for Machine Learning Project.srt
12.33 KB
12. Hands-on Machine Learning Project Using Scikit-Learn/3. Cross-validation with Python.mp4
91.64 MB
12. Hands-on Machine Learning Project Using Scikit-Learn/3. Cross-validation with Python.srt
14.57 KB
[UdemyLibrary.com] Join for free courses and tutorials.txt
246 B
12. Hands-on Machine Learning Project Using Scikit-Learn/4. Face Recognition Project with Python.srt
33.85 KB
12. Hands-on Machine Learning Project Using Scikit-Learn/5. THANK YOU Bonus Video.mp4
29.74 MB
12. Hands-on Machine Learning Project Using Scikit-Learn/5. THANK YOU Bonus Video.srt
2.54 KB
13. OPTIONAL Section- Mathematics Wrap-up/1. Mathematical Wrap-up on Machine Learning.mp4
186.83 MB
13. OPTIONAL Section- Mathematics Wrap-up/1. Mathematical Wrap-up on Machine Learning.srt
48.31 KB
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