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

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种子名称: [FreeCourseSite.com] Udemy - Machine Learning A-Z with Python with Project (Beginner)
文件类型: 视频
文件数目: 33个文件
文件大小: 5.15 GB
收录时间: 2022-8-29 17:57
已经下载: 3
资源热度: 187
最近下载: 2024-5-26 23:44

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[FreeCourseSite.com] Udemy - Machine Learning A-Z with Python with Project (Beginner).torrent
  • 1. Foundation/1. Introduction.mp47.77MB
  • 10. Our Project (Recomendation System)/1. PCA.mp4157.87MB
  • 10. Our Project (Recomendation System)/2. Recommendations System.mp4283.78MB
  • 2. Introduction to Machine Learning/1. Introduction to Machine Learning.mp487.29MB
  • 3. Applied Statistics/1. Statistics 101.mp459.09MB
  • 3. Applied Statistics/2. Descriptive Statistics.mp432.06MB
  • 3. Applied Statistics/3. Descriptive Statistics (Part-2).mp473.08MB
  • 3. Applied Statistics/4. Measures of Spread.mp460.8MB
  • 3. Applied Statistics/5. Probability.mp461.34MB
  • 3. Applied Statistics/6. Conditional Probability.mp434.51MB
  • 3. Applied Statistics/7. Probability Distribution.mp495.01MB
  • 3. Applied Statistics/8. Hypothesis Testing.mp4107.45MB
  • 4. ntroduction to Python/1. Python Installation.mp479.52MB
  • 4. ntroduction to Python/2. Python IDE.mp447.07MB
  • 4. ntroduction to Python/3. Python_Basics.mp4190.9MB
  • 4. ntroduction to Python/4. Python Basics II.mp4218.96MB
  • 4. ntroduction to Python/5. Data Structures.mp4380.41MB
  • 4. ntroduction to Python/6. Numpy.mp4324.67MB
  • 4. ntroduction to Python/7. Pandas.mp4344.04MB
  • 4. ntroduction to Python/8. Data Visualisation.mp4356.07MB
  • 4. ntroduction to Python/9. Data Transformation.mp4120.56MB
  • 5. Let's dig Machine Learning/1. Machine Learning Intro.mp4118.97MB
  • 6. Regression/1. Linear Regression.mp4449.53MB
  • 7. Classification/1. Logistic Regression.mp4321.52MB
  • 7. Classification/2. KNN.mp4285.93MB
  • 7. Classification/3. Naïve Bayes.mp486.25MB
  • 7. Classification/4. SVM.mp464.69MB
  • 7. Classification/5. Decision Tree.mp4217.02MB
  • 8. Clustering/1. K-means.mp4137.52MB
  • 8. Clustering/2. Hierarchical Clustering.mp465.17MB
  • 8. Clustering/3. DBScan.mp484.44MB
  • 9. Ensemble ML/1. Bagging.mp4156.48MB
  • 9. Ensemble ML/2. Boosting.mp4165.63MB