[] Udemy - Machine Learning A-Z with Python with Project (Beginner)
- 收录时间:2022-10-07 00:52:15
- 文件大小:5GB
- 下载次数:1
- 最近下载:2022-10-07 00:52:15
- 磁力链接:
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文件列表
- 6. Regression/1. Linear Regression.mp4 450MB
- 4. ntroduction to Python/5. Data Structures.mp4 380MB
- 4. ntroduction to Python/8. Data Visualisation.mp4 356MB
- 4. ntroduction to Python/7. Pandas.mp4 344MB
- 4. ntroduction to Python/6. Numpy.mp4 325MB
- 7. Classification/1. Logistic Regression.mp4 322MB
- 7. Classification/2. KNN.mp4 286MB
- 10. Our Project (Recomendation System)/2. Recommendations System.mp4 284MB
- 4. ntroduction to Python/4. Python Basics II.mp4 219MB
- 7. Classification/5. Decision Tree.mp4 217MB
- 4. ntroduction to Python/3. Python_Basics.mp4 191MB
- 9. Ensemble ML/2. Boosting.mp4 166MB
- 10. Our Project (Recomendation System)/1. PCA.mp4 158MB
- 9. Ensemble ML/1. Bagging.mp4 156MB
- 8. Clustering/1. K-means.mp4 138MB
- 4. ntroduction to Python/9. Data Transformation.mp4 121MB
- 5. Let's dig Machine Learning/1. Machine Learning Intro.mp4 119MB
- 3. Applied Statistics/8. Hypothesis Testing.mp4 107MB
- 3. Applied Statistics/7. Probability Distribution.mp4 95MB
- 2. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 87MB
- 7. Classification/3. Naïve Bayes.mp4 86MB
- 8. Clustering/3. DBScan.mp4 84MB
- 4. ntroduction to Python/1. Python Installation.mp4 80MB
- 3. Applied Statistics/3. Descriptive Statistics (Part-2).mp4 73MB
- 8. Clustering/2. Hierarchical Clustering.mp4 65MB
- 7. Classification/4. SVM.mp4 65MB
- 3. Applied Statistics/5. Probability.mp4 61MB
- 3. Applied Statistics/4. Measures of Spread.mp4 61MB
- 3. Applied Statistics/1. Statistics 101.mp4 59MB
- 4. ntroduction to Python/2. Python IDE.mp4 47MB
- 3. Applied Statistics/6. Conditional Probability.mp4 35MB
- 3. Applied Statistics/2. Descriptive Statistics.mp4 32MB
- 1. Foundation/1. Introduction.mp4 8MB
- 6. Regression/1. Linear Regression.srt 78KB
- 4. ntroduction to Python/6. Numpy.srt 70KB
- 4. ntroduction to Python/5. Data Structures.srt 68KB
- 4. ntroduction to Python/7. Pandas.srt 66KB
- 4. ntroduction to Python/8. Data Visualisation.srt 62KB
- 7. Classification/1. Logistic Regression.srt 56KB
- 10. Our Project (Recomendation System)/2. Recommendations System.srt 53KB
- 4. ntroduction to Python/4. Python Basics II.srt 52KB
- 7. Classification/2. KNN.srt 51KB
- 4. ntroduction to Python/3. Python_Basics.srt 41KB
- 10. Our Project (Recomendation System)/1. PCA.srt 37KB
- 7. Classification/5. Decision Tree.srt 35KB
- 9. Ensemble ML/1. Bagging.srt 30KB
- 4. ntroduction to Python/9. Data Transformation.srt 26KB
- 8. Clustering/1. K-means.srt 23KB
- 5. Let's dig Machine Learning/1. Machine Learning Intro.srt 22KB
- 9. Ensemble ML/2. Boosting.srt 22KB
- 3. Applied Statistics/8. Hypothesis Testing.srt 19KB
- 7. Classification/3. Naïve Bayes.srt 19KB
- 3. Applied Statistics/3. Descriptive Statistics (Part-2).srt 18KB
- 3. Applied Statistics/7. Probability Distribution.srt 17KB
- 4. ntroduction to Python/2. Python IDE.srt 16KB
- 3. Applied Statistics/5. Probability.srt 16KB
- 8. Clustering/3. DBScan.srt 15KB
- 3. Applied Statistics/4. Measures of Spread.srt 14KB
- 2. Introduction to Machine Learning/1. Introduction to Machine Learning.srt 14KB
- 3. Applied Statistics/1. Statistics 101.srt 13KB
- 4. ntroduction to Python/1. Python Installation.srt 12KB
- 7. Classification/4. SVM.srt 12KB
- 8. Clustering/2. Hierarchical Clustering.srt 11KB
- 3. Applied Statistics/2. Descriptive Statistics.srt 8KB
- 3. Applied Statistics/6. Conditional Probability.srt 7KB
- 1. Foundation/1. Introduction.srt 3KB
- 0. Websites you may like/[FCS Forum].url 133B
- 0. Websites you may like/[FreeCourseSite.com].url 127B
- 0. Websites you may like/[CourseClub.ME].url 122B
- 0. Websites you may like/[GigaCourse.Com].url 49B
