FreeCourseSite com Udemy Machine Learning with SciKit Learn with Python

FreeCourseSite com Udemy Machine Learning with SciKit Learn with Python

Name	[FreeCourseSite.com] Udemy - Machine Learning with SciKit-Learn with Python	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	3.9 GB
Total Files	109
Hash	0725955C31548DEBA64495A86975772FE03E8D00

/0. Websites you may like/
[CourseClub.Me].url	0.1 KB
[FreeCourseSite.com].url	0.1 KB
[GigaCourse.Com].url	0.0 KB
/1. Introduction/
1. Introduction to Machine Learning.mp4	29.2 MB
1. Introduction to Machine Learning.srt	7.7 KB
2. Advantages and Disadvantages of Machine Learning.mp4	28.3 MB
2. Advantages and Disadvantages of Machine Learning.srt	11.2 KB
/10. Movie Review Analysis/
1. Movie Review Screen Stream.mp4	71.1 MB
1. Movie Review Screen Stream.srt	11.4 KB
2. Movie Review Screen Stream Continue.mp4	39.5 MB
2. Movie Review Screen Stream Continue.srt	5.4 KB
/2. NumPy/
1. NumPy Introduction.mp4	37.5 MB
1. NumPy Introduction.srt	9.8 KB
2. Features and Installation.mp4	59.6 MB
2. Features and Installation.srt	8.7 KB
/3. NumPy Array/
1. NumPy Array Creation.mp4	57.9 MB
1. NumPy Array Creation.srt	12.8 KB
10. Copies and Views.mp4	58.8 MB
10. Copies and Views.srt	7.8 KB
2. NumPy Array Attributes.mp4	58.7 MB
2. NumPy Array Attributes.srt	10.1 KB
3. NumPy Array Operations.mp4	82.3 MB
3. NumPy Array Operations.srt	14.6 KB
4. NumPy Array Operations Continue.mp4	97.5 MB
4. NumPy Array Operations Continue.srt	14.6 KB
5. NumPy Array Unary Operations.mp4	37.3 MB
5. NumPy Array Unary Operations.srt	7.0 KB
6. Numpy Array Splicing.mp4	103.6 MB
6. Numpy Array Splicing.srt	14.5 KB
7. NumPy Array Shpe.mp4	70.6 MB
7. NumPy Array Shpe.srt	14.2 KB
8. Stacking Together Different Arrays.mp4	89.7 MB
8. Stacking Together Different Arrays.srt	11.7 KB
9. Splitting one Array into Several Smaller ones.mp4	45.9 MB
9. Splitting one Array into Several Smaller ones.srt	8.2 KB
/4. Indexing Arrays of Arrays/
1. NumPy Array Indexing.mp4	64.8 MB
1. NumPy Array Indexing.srt	12.3 KB
2. NumPy Array Indexing Continue.mp4	37.2 MB
2. NumPy Array Indexing Continue.srt	6.3 KB
3. NumPy Array Boolean.mp4	70.1 MB
3. NumPy Array Boolean.srt	12.8 KB
/5. Matlplotlib/
1. Introduction to Matlplotlib.mp4	28.8 MB
1. Introduction to Matlplotlib.srt	6.1 KB
2. Understanding Various Functions of Pyplot.mp4	89.6 MB
2. Understanding Various Functions of Pyplot.srt	14.1 KB
3. Multiple Figures and Subplots.mp4	115.7 MB
3. Multiple Figures and Subplots.srt	14.3 KB
/6. Pandas/
1. Intro to Pandas.mp4	39.3 MB
1. Intro to Pandas.srt	10.7 KB
2. Intro to Pandas Continue.mp4	44.6 MB
2. Intro to Pandas Continue.srt	11.4 KB
3. Data Structure in Pandas.mp4	88.0 MB
3. Data Structure in Pandas.srt	12.4 KB
4. Data Structure in Pandas Continue.mp4	107.1 MB
4. Data Structure in Pandas Continue.srt	16.8 KB
5. Pandas Column Select.mp4	83.4 MB
5. Pandas Column Select.srt	13.6 KB
6. Remove Operations.mp4	123.1 MB
6. Remove Operations.srt	11.6 KB
7. Pandas Arithmetic Operations.mp4	108.2 MB
7. Pandas Arithmetic Operations.srt	14.4 KB
8. Pandas Arithmetic Operations Continue.mp4	52.1 MB
8. Pandas Arithmetic Operations Continue.srt	8.8 KB
/7. Scikit Learn/
1. Introduction to Scikit Learn.mp4	51.1 MB
1. Introduction to Scikit Learn.srt	12.3 KB
2. Supervised.mp4	55.1 MB
2. Supervised.srt	13.6 KB
3. Unsupervised Learning.mp4	55.9 MB
3. Unsupervised Learning.srt	10.9 KB
4. Load Data Set.mp4	45.6 MB
4. Load Data Set.srt	8.1 KB
/8. Learning and Predicting/
1. Scikit Example Digits.mp4	47.4 MB
1. Scikit Example Digits.srt	10.5 KB
2. Digits Dataset Using Matplotlib.mp4	65.8 MB
2. Digits Dataset Using Matplotlib.srt	9.8 KB
3. Understading Metrics of Predicted Digits Dataset.mp4	44.0 MB
3. Understading Metrics of Predicted Digits Dataset.srt	8.2 KB
4. Persisting Models.mp4	110.3 MB
4. Persisting Models.srt	18.1 KB
5. K-NN Algorithm with Example.mp4	106.3 MB
5. K-NN Algorithm with Example.srt	20.7 KB
/9. Cross Validation/
1. Cross Validation.mp4	117.4 MB
1. Cross Validation.srt	18.0 KB
10. Extracting Features.mp4	49.2 MB
10. Extracting Features.srt	9.6 KB
11. Occurrences to Frequencies.mp4	80.8 MB
11. Occurrences to Frequencies.srt	13.1 KB
12. Classifier Training.mp4	63.9 MB
12. Classifier Training.srt	8.3 KB
13. Performance Analysis on the Test Set.mp4	125.2 MB
13. Performance Analysis on the Test Set.srt	15.7 KB
14. Parameter Tuning.mp4	89.3 MB
14. Parameter Tuning.srt	13.7 KB
15. Language Identifcation.mp4	97.4 MB
15. Language Identifcation.srt	18.2 KB
2. Cross Validation Techniques.mp4	54.7 MB
2. Cross Validation Techniques.srt	9.1 KB
3. K-Means Clustering Example.mp4	109.0 MB
4. Agglomeration.mp4	80.3 MB
4. Agglomeration.srt	13.1 KB
5. PCA Pipeline.mp4	122.9 MB
5. PCA Pipeline.srt	19.6 KB
6. Face Recognition.mp4	56.2 MB
6. Face Recognition.srt	8.8 KB
7. Face Recognition Output.mp4	54.7 MB
8. Right Estimator.mp4	62.8 MB
8. Right Estimator.srt	9.2 KB
9. Text Data Example.mp4	94.2 MB
9. Text Data Example.srt	16.6 KB
Total files 109