پادکست: گفتگو با دکتر جعفری نویسنده کتاب Hands-on Data Preprocessing In Python در BIDAR.ca
Update: 2022-01-05
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شرکت کنندگان در این پادکست: محمد نادی، مهدی شکوهی، امین فرد، رضا، مهدی راش و جیسون جعفری
https://youtu.be/CvO9BhrwMtU
فهرست مطالب کتاب Hands-on Data Preprocessing In Python
1. Review of the Core Modules of NumPy and Pandas
2. Review of Another Core Module: Matplotlib
3. Data – What Is It Really?
4. Databases
5. Data Visualization
6. Prediction
7. Classification
8. Clustering Analysis
9. Data Cleaning Level I-Clean Up the Table
10. Data Cleaning Level II Unpack, Restructure, and Reformulate
the Table
11. Data Cleaning Level III Missing Values, Outliers, and Errors
12. Data Fusion and Integration
13. Data Reduction
14. Data Transformation & Massaging
15. Case Study 1: Mental Health in Tech
16. Case Study 2: Predict COVID Hospitalization
17. Case Study 3: United States Counties Clustering Analysis
18. Practice Cases
19. Using SQL for Pipeline Implementation
20. Using Your Preferred Language with Portability
21. Extending Apache Beam's IO Connectors
22. Understanding How Runners Execute Pipelines
لینک خرید کتاب:
https://www.packtpub.com/product/hands-on-data-preprocessing-in-python/9781801072137
دکتر روی جعفری
https://www.linkedin.com/in/roy-jafari-marandi-84077932
https://www.youtube.com/user/likhochin/videos
https://youtu.be/CvO9BhrwMtU
فهرست مطالب کتاب Hands-on Data Preprocessing In Python
1. Review of the Core Modules of NumPy and Pandas
2. Review of Another Core Module: Matplotlib
3. Data – What Is It Really?
4. Databases
5. Data Visualization
6. Prediction
7. Classification
8. Clustering Analysis
9. Data Cleaning Level I-Clean Up the Table
10. Data Cleaning Level II Unpack, Restructure, and Reformulate
the Table
11. Data Cleaning Level III Missing Values, Outliers, and Errors
12. Data Fusion and Integration
13. Data Reduction
14. Data Transformation & Massaging
15. Case Study 1: Mental Health in Tech
16. Case Study 2: Predict COVID Hospitalization
17. Case Study 3: United States Counties Clustering Analysis
18. Practice Cases
19. Using SQL for Pipeline Implementation
20. Using Your Preferred Language with Portability
21. Extending Apache Beam's IO Connectors
22. Understanding How Runners Execute Pipelines
لینک خرید کتاب:
https://www.packtpub.com/product/hands-on-data-preprocessing-in-python/9781801072137
دکتر روی جعفری
https://www.linkedin.com/in/roy-jafari-marandi-84077932
https://www.youtube.com/user/likhochin/videos
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