Fundamentals of Python Machine Learning for Consultants DevCourseWeb

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2024-02-29 15:51 (2 years, 8 months ago)

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Files

1. Get Bonus Downloads Here.url182 bytes
2. 1. Setting up the Python Environment.mp439.6 MB
3. 2. Python Basics - variables, data types, operations and functions.mp4220.4 MB
4. 2.1 number_analyzer.py618 bytes
5. 3. Python Language Reference.mp429.8 MB
6. 4. Python Data Science Library Pandas.mp4109.2 MB
7. 4.1 city_temperature.py521 bytes
8. 5. Python Data Science Library Numpy.mp460.0 MB
9. 5.1 temperature_analysis.py669 bytes
10. 1. Guideline When Building Machine Learning.mp457.4 MB
11. 1.1 Guideline Build Machine Learning.pdf139.3 KB
12. 2. Understanding the Architectural Layers of Data Engineer.mp4120.6 MB
13. 2.1 Data Engineer Architecture Layer.pdf154.5 KB
14. 3. Data Preparation as an Example.mp491.2 MB
15. 3.1 bitcoin_tweets.js?v=1.05on188.3 KB
16. 3.2 cleaned_bitcoin_tweets.js?v=1.05on140.6 KB
17. 3.3 data_process_bitcoin_tweets_data.py933 bytes
18. 1. A look at Bitcoin Sentiment Data.mp423.7 MB
19. 1.1 sentiment_dataset.js?v=1.05on407.3 KB
20. 2. Bitcoin Sentiment Visualization Technique using Matplotlib.mp4144.0 MB
21. 2.1 bitcoin_sentiment_matplotlib.py898 bytes
22. 2.2 sentiment_dataset.js?v=1.05on407.3 KB
23. 3. Visualization Technique with Seaborn.mp4163.6 MB
24. 3.1 data_sentiment_seaborn.py927 bytes
25. 1. Inventory Forecasting - Probability Analysis.mp4187.7 MB
26. 1.1 inventory_forecasting.py3.0 KB
27. 1.2 sales_inventory_data.js?v=1.05on18.3 KB
28. 1.3 sales_records_data.js?v=1.05on16.4 KB
29. 2. Linear Regression Data Analysis.mp4162.3 MB
30. 2.1 inventory_linear_regression.py2.2 KB
31. 3. Clustering Data Analytics.mp4134.1 MB
32. 3.1 sales_inventory_clustering_unsupervised.py1.8 KB
33. 1. What is Databricks and setup Cloud Account.mp451.9 MB
34. 2. Load Data into Cluster.mp4112.3 MB
35. 2.1 sol_exchange_data_yearly.csv23.5 KB
36. 3. Linear Regression with pySpark and Apache Spark.mp4140.2 MB
37. 4. Where to go From Here.mp474.9 MB
38. Bonus Resources.txt386 bytes

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