Machine Learning Crash Course for Beginners using Python UdemyLibrary com

Machine Learning Crash Course for Beginners using Python UdemyLibrary com

Name	Machine Learning Crash Course for Beginners using Python [UdemyLibrary.com]	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	3.5 GB
Total Files	106
Last Seen	2025-07-19 00:06
Hash	570B2DC73326F26BB7F968F80431F5BB595020EF

/12. Hands-on Machine Learning Project Using Scikit-Learn/
4. Face Recognition Project with Python.mp4	213.8 MB
1. Principal Component Analysis (PCA) with Python.mp4	80.0 MB
1. Principal Component Analysis (PCA) with Python.srt	12.3 KB
2. Pipeline in Scikit-Learn for Machine Learning Project.mp4	76.7 MB
2. Pipeline in Scikit-Learn for Machine Learning Project.srt	12.6 KB
3. Cross-validation with Python.mp4	96.1 MB
3. Cross-validation with Python.srt	14.9 KB
4. Face Recognition Project with Python.srt	34.7 KB
5. THANK YOU Bonus Video.mp4	31.2 MB
5. THANK YOU Bonus Video.srt	2.6 KB
/1. Introduction to the Course/
1. Introduction to the Course.mp4	25.0 MB
1. Introduction to the Course.srt	4.2 KB
2. Focus of the Course.mp4	34.2 MB
2. Focus of the Course.srt	13.2 KB
3. Python Practical of the Course.mp4	48.2 MB
3. Python Practical of the Course.srt	9.2 KB
4. Your Feedback and Review.mp4	30.3 MB
4. Your Feedback and Review.srt	2.5 KB
5. Link to the Python codes for the projects and the data.html	0.7 KB
/2. Why Machine Learning/
1. Machine Learning Applications-Part 1.mp4	71.2 MB
1. Machine Learning Applications-Part 1.srt	11.0 KB
2. Machine Learning Applications-Part 2.mp4	76.6 MB
2. Machine Learning Applications-Part 2.srt	11.2 KB
3. Why Machine Learning is Trending Now.mp4	36.2 MB
3. Why Machine Learning is Trending Now.srt	10.6 KB
/3. Process of Learning from Data/
1. Supervised Learning.mp4	78.4 MB
1. Supervised Learning.srt	12.2 KB
2. UnSupervised Learning and Reinforcement Learning.mp4	73.5 MB
2. UnSupervised Learning and Reinforcement Learning.srt	13.5 KB
/4. Machine Learning Methods/
1. Features.mp4	87.1 MB
1. Features.srt	16.1 KB
2. Features Practice with Python.mp4	116.7 MB
2. Features Practice with Python.srt	19.3 KB
3. Regression.mp4	27.2 MB
3. Regression.srt	4.9 KB
4. Regression Practice with Python.mp4	105.0 MB
4. Regression Practice with Python.srt	24.4 KB
5. Classsification.mp4	21.6 MB
5. Classsification.srt	5.9 KB
6. Classification Practice with Python.mp4	39.4 MB
6. Classification Practice with Python.srt	6.9 KB
7. Clustering.mp4	23.7 MB
7. Clustering.srt	5.8 KB
8. Clustering Practice with Python.mp4	41.1 MB
8. Clustering Practice with Python.srt	8.1 KB
/5. Data Preparation and Preprocessing/
1. Handling Image Data.mp4	42.3 MB
1. Handling Image Data.srt	9.5 KB
2. Handling Video and Audio Data.mp4	49.7 MB
2. Handling Video and Audio Data.srt	11.8 KB
3. Handling Text Data.mp4	63.3 MB
3. Handling Text Data.srt	10.6 KB
4. One Hot Encoding.mp4	139.7 MB
4. One Hot Encoding.srt	22.5 KB
5. Data Standardization.mp4	94.8 MB
5. Data Standardization.srt	18.0 KB
/6. Machine Learning Models and Optimization/
1. Machine Learning Model 1.mp4	46.4 MB
1. Machine Learning Model 1.srt	12.2 KB
2. Machine Learning Model 2.mp4	81.6 MB
2. Machine Learning Model 2.srt	15.5 KB
3. Machine Learning Model 3.mp4	58.8 MB
3. Machine Learning Model 3.srt	12.1 KB
4. Training Process, Error, Cost and Loss.mp4	58.2 MB
4. Training Process, Error, Cost and Loss.srt	11.2 KB
5. Optimization.mp4	74.8 MB
5. Optimization.srt	16.1 KB
/7. Building Machine Learning Model from Scratch/
1. Linear Regression from Scratch- Part 1.mp4	34.7 MB
1. Linear Regression from Scratch- Part 1.srt	9.2 KB
2. Linear Regression from Scratch- Part 2.mp4	95.4 MB
2. Linear Regression from Scratch- Part 2.srt	18.1 KB
3. Minimun-to-mean Distance Classifier from Scratch- Part 1.mp4	35.2 MB
3. Minimun-to-mean Distance Classifier from Scratch- Part 1.srt	8.6 KB
4. Minimun-to-mean Distance Classifier from Scratch- Part 2.mp4	47.6 MB
4. Minimun-to-mean Distance Classifier from Scratch- Part 2.srt	8.7 KB
5. K-means Clustering from Scratch- Part 1.mp4	32.5 MB
5. K-means Clustering from Scratch- Part 1.srt	8.0 KB
6. K-means Clustering from Scratch- Part 2.mp4	105.5 MB
6. K-means Clustering from Scratch- Part 2.srt	18.1 KB
/8. Overfitting, Underfitting and Generalization/
1. Overfitting Introduction.mp4	42.6 MB
1. Overfitting Introduction.srt	7.1 KB
2. Overfitting example on Python.mp4	79.5 MB
2. Overfitting example on Python.srt	15.3 KB
3. Regularization.mp4	114.2 MB
3. Regularization.srt	18.0 KB
4. Generalization.mp4	71.1 MB
4. Generalization.srt	12.7 KB
5. Data Snooping and the Test Set.mp4	105.6 MB
5. Data Snooping and the Test Set.srt	15.5 KB
6. Cross-validation.mp4	60.6 MB
6. Cross-validation.srt	13.6 KB
/9. Machine Learning Model Performance Metrics/
1. The Accuracy.mp4	36.0 MB
1. The Accuracy.srt	7.1 KB
2. The Confusion Matrix.mp4	49.5 MB
2. The Confusion Matrix.srt	9.4 KB
/10. Dimensionality Reduction/
1. The Curse of Dimensionality.mp4	110.1 MB
1. The Curse of Dimensionality.srt	16.3 KB
2. The Principal Component Analysis (PCA).mp4	54.7 MB
2. The Principal Component Analysis (PCA).srt	11.5 KB
/11. Deep Learning Overview/
1. Introduction to Deep Neural Networks (DNN).mp4	53.8 MB
1. Introduction to Deep Neural Networks (DNN).srt	11.7 KB
2. Introduction to Convolutional Neural Networks (CNN).mp4	32.0 MB
2. Introduction to Convolutional Neural Networks (CNN).srt	7.6 KB
3. Introduction to Recurrent Neural Networks (CNN).mp4	46.8 MB
3. Introduction to Recurrent Neural Networks (CNN).srt	12.0 KB
/
[UdemyLibrary.com] Join for free courses and tutorials.txt	0.2 KB
/13. OPTIONAL Section- Mathematics Wrap-up/
1. Mathematical Wrap-up on Machine Learning.mp4	195.9 MB
1. Mathematical Wrap-up on Machine Learning.srt	49.5 KB
Total files 106