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[FreeCourseSite com] Udemy - Machine Learning A-Z with Python with Project (Beginner)

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Title: Udemy - Machine Learning AGroup: NOGRPSource: Udemy
Info Hash
95535626F1E9E10F03CFF82F0C35C7DA94F90E15
Source
Unverified
Total Size
5.15 GB
Total Files
70
Seeders
0
Leechers
1
Health
Score
1
Type
Bookware

File List

FileSize
0. Websites you may like/[CourseClub.ME].url122 B
0. Websites you may like/[FCS Forum].url133 B
0. Websites you may like/[FreeCourseSite.com].url127 B
0. Websites you may like/[GigaCourse.Com].url49 B
1. Foundation/1. Introduction.mp47.77 MB
1. Foundation/1. Introduction.srt3.04 KB
10. Our Project (Recomendation System)/1. PCA.mp4157.87 MB
10. Our Project (Recomendation System)/1. PCA.srt37.11 KB
10. Our Project (Recomendation System)/2. Recommendations System.mp4283.78 MB
10. Our Project (Recomendation System)/2. Recommendations System.srt53.21 KB
2. Introduction to Machine Learning/1. Introduction to Machine Learning.mp487.29 MB
2. Introduction to Machine Learning/1. Introduction to Machine Learning.srt13.55 KB
3. Applied Statistics/1. Statistics 101.mp459.09 MB
3. Applied Statistics/1. Statistics 101.srt12.8 KB
3. Applied Statistics/2. Descriptive Statistics.mp432.06 MB
3. Applied Statistics/2. Descriptive Statistics.srt7.57 KB
3. Applied Statistics/3. Descriptive Statistics (Part-2).mp473.08 MB
3. Applied Statistics/3. Descriptive Statistics (Part-2).srt17.61 KB
3. Applied Statistics/4. Measures of Spread.mp460.8 MB
3. Applied Statistics/4. Measures of Spread.srt13.73 KB
3. Applied Statistics/5. Probability.mp461.34 MB
3. Applied Statistics/5. Probability.srt15.66 KB
3. Applied Statistics/6. Conditional Probability.mp434.51 MB
3. Applied Statistics/6. Conditional Probability.srt7.07 KB
3. Applied Statistics/7. Probability Distribution.mp495.01 MB
3. Applied Statistics/7. Probability Distribution.srt17.36 KB
3. Applied Statistics/8. Hypothesis Testing.mp4107.45 MB
3. Applied Statistics/8. Hypothesis Testing.srt19.27 KB
4. ntroduction to Python/1. Python Installation.mp479.52 MB
4. ntroduction to Python/1. Python Installation.srt12.1 KB
4. ntroduction to Python/2. Python IDE.mp447.07 MB
4. ntroduction to Python/2. Python IDE.srt16.15 KB
4. ntroduction to Python/3. Python_Basics.mp4190.9 MB
4. ntroduction to Python/3. Python_Basics.srt40.88 KB
4. ntroduction to Python/4. Python Basics II.mp4218.96 MB
4. ntroduction to Python/4. Python Basics II.srt52.24 KB
4. ntroduction to Python/5. Data Structures.mp4380.41 MB
4. ntroduction to Python/5. Data Structures.srt68.35 KB
4. ntroduction to Python/6. Numpy.mp4324.67 MB
4. ntroduction to Python/6. Numpy.srt69.93 KB
4. ntroduction to Python/7. Pandas.mp4344.04 MB
4. ntroduction to Python/7. Pandas.srt66 KB
4. ntroduction to Python/8. Data Visualisation.mp4356.07 MB
4. ntroduction to Python/8. Data Visualisation.srt61.61 KB
4. ntroduction to Python/9. Data Transformation.mp4120.56 MB
4. ntroduction to Python/9. Data Transformation.srt26.15 KB
5. Let's dig Machine Learning/1. Machine Learning Intro.mp4118.97 MB
5. Let's dig Machine Learning/1. Machine Learning Intro.srt21.83 KB
6. Regression/1. Linear Regression.mp4449.53 MB
6. Regression/1. Linear Regression.srt78.01 KB
7. Classification/1. Logistic Regression.mp4321.52 MB
7. Classification/1. Logistic Regression.srt55.77 KB
7. Classification/2. KNN.mp4285.93 MB
7. Classification/2. KNN.srt51.07 KB
7. Classification/3. Naïve Bayes.mp486.25 MB
7. Classification/3. Naïve Bayes.srt18.74 KB
7. Classification/4. SVM.mp464.69 MB
7. Classification/4. SVM.srt11.64 KB
7. Classification/5. Decision Tree.mp4217.02 MB
7. Classification/5. Decision Tree.srt34.69 KB
8. Clustering/1. K-means.mp4137.52 MB
8. Clustering/1. K-means.srt23.26 KB
8. Clustering/2. Hierarchical Clustering.mp465.17 MB
8. Clustering/2. Hierarchical Clustering.srt10.94 KB
8. Clustering/3. DBScan.mp484.44 MB
8. Clustering/3. DBScan.srt14.74 KB
9. Ensemble ML/1. Bagging.mp4156.48 MB
9. Ensemble ML/1. Bagging.srt29.97 KB
9. Ensemble ML/2. Boosting.mp4165.63 MB
9. Ensemble ML/2. Boosting.srt21.74 KB

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