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[FreeCourseSite.com] Udemy - Machine Learning A-Z with Python with Project (Beginner)
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BT种子基本信息
种子哈希:
95535626f1e9e10f03cff82f0c35c7da94f90e15
文档大小:
5.5 GB
文档个数:
70
个文档
下载次数:
1208
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下载速度:
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收录时间:
2022-02-23
最近下载:
2025-05-15
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文档列表
6. Regression/1. Linear Regression.mp4
471.4 MB
4. ntroduction to Python/5. Data Structures.mp4
398.9 MB
4. ntroduction to Python/8. Data Visualisation.mp4
373.4 MB
4. ntroduction to Python/7. Pandas.mp4
360.8 MB
4. ntroduction to Python/6. Numpy.mp4
340.4 MB
7. Classification/1. Logistic Regression.mp4
337.1 MB
7. Classification/2. KNN.mp4
299.8 MB
10. Our Project (Recomendation System)/2. Recommendations System.mp4
297.6 MB
4. ntroduction to Python/4. Python Basics II.mp4
229.6 MB
7. Classification/5. Decision Tree.mp4
227.6 MB
4. ntroduction to Python/3. Python_Basics.mp4
200.2 MB
9. Ensemble ML/2. Boosting.mp4
173.7 MB
10. Our Project (Recomendation System)/1. PCA.mp4
165.5 MB
9. Ensemble ML/1. Bagging.mp4
164.1 MB
8. Clustering/1. K-means.mp4
144.2 MB
4. ntroduction to Python/9. Data Transformation.mp4
126.4 MB
5. Let's dig Machine Learning/1. Machine Learning Intro.mp4
124.7 MB
3. Applied Statistics/8. Hypothesis Testing.mp4
112.7 MB
3. Applied Statistics/7. Probability Distribution.mp4
99.6 MB
2. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4
91.5 MB
7. Classification/3. Naïve Bayes.mp4
90.4 MB
8. Clustering/3. DBScan.mp4
88.5 MB
4. ntroduction to Python/1. Python Installation.mp4
83.4 MB
3. Applied Statistics/3. Descriptive Statistics (Part-2).mp4
76.6 MB
8. Clustering/2. Hierarchical Clustering.mp4
68.3 MB
7. Classification/4. SVM.mp4
67.8 MB
3. Applied Statistics/5. Probability.mp4
64.3 MB
3. Applied Statistics/4. Measures of Spread.mp4
63.8 MB
3. Applied Statistics/1. Statistics 101.mp4
62.0 MB
4. ntroduction to Python/2. Python IDE.mp4
49.4 MB
3. Applied Statistics/6. Conditional Probability.mp4
36.2 MB
3. Applied Statistics/2. Descriptive Statistics.mp4
33.6 MB
1. Foundation/1. Introduction.mp4
8.2 MB
6. Regression/1. Linear Regression.srt
79.9 kB
4. ntroduction to Python/6. Numpy.srt
71.6 kB
4. ntroduction to Python/5. Data Structures.srt
70.0 kB
4. ntroduction to Python/7. Pandas.srt
67.6 kB
4. ntroduction to Python/8. Data Visualisation.srt
63.1 kB
7. Classification/1. Logistic Regression.srt
57.1 kB
10. Our Project (Recomendation System)/2. Recommendations System.srt
54.5 kB
4. ntroduction to Python/4. Python Basics II.srt
53.5 kB
7. Classification/2. KNN.srt
52.3 kB
4. ntroduction to Python/3. Python_Basics.srt
41.9 kB
10. Our Project (Recomendation System)/1. PCA.srt
38.0 kB
7. Classification/5. Decision Tree.srt
35.5 kB
9. Ensemble ML/1. Bagging.srt
30.7 kB
4. ntroduction to Python/9. Data Transformation.srt
26.8 kB
8. Clustering/1. K-means.srt
23.8 kB
5. Let's dig Machine Learning/1. Machine Learning Intro.srt
22.4 kB
9. Ensemble ML/2. Boosting.srt
22.3 kB
3. Applied Statistics/8. Hypothesis Testing.srt
19.7 kB
7. Classification/3. Naïve Bayes.srt
19.2 kB
3. Applied Statistics/3. Descriptive Statistics (Part-2).srt
18.0 kB
3. Applied Statistics/7. Probability Distribution.srt
17.8 kB
4. ntroduction to Python/2. Python IDE.srt
16.5 kB
3. Applied Statistics/5. Probability.srt
16.0 kB
8. Clustering/3. DBScan.srt
15.1 kB
3. Applied Statistics/4. Measures of Spread.srt
14.1 kB
2. Introduction to Machine Learning/1. Introduction to Machine Learning.srt
13.9 kB
3. Applied Statistics/1. Statistics 101.srt
13.1 kB
4. ntroduction to Python/1. Python Installation.srt
12.4 kB
7. Classification/4. SVM.srt
11.9 kB
8. Clustering/2. Hierarchical Clustering.srt
11.2 kB
3. Applied Statistics/2. Descriptive Statistics.srt
7.7 kB
3. Applied Statistics/6. Conditional Probability.srt
7.2 kB
1. Foundation/1. Introduction.srt
3.1 kB
0. Websites you may like/[FCS Forum].url
133 Bytes
0. Websites you may like/[FreeCourseSite.com].url
127 Bytes
0. Websites you may like/[CourseClub.ME].url
122 Bytes
0. Websites you may like/[GigaCourse.Com].url
49 Bytes
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