Hands-on Machine Learning - Cryptocurrency Trading [Python]
- CategoryOther
- TypeTutorials
- LanguageEnglish
- Total size308 MB
- Uploaded BySeedHash
- Downloads54
- Last checkedApr. 13th '26
- Date uploadedApr. 13th '26
- Seeders 12
- Leechers8
Infohash : 60F5B29CE94748346EE4020B6CC076A16B915F18
Hands-on Machine Learning - Cryptocurrency Trading [Python]
https://t.me/Network1337x

What you'll learn
How to apply Rule Induction Algorithms in Python
How to perform intermarket analysis
How to download historical data from Python
How to validate Machine Learning Models
Files:
Hands-on Machine Learning - Cryptocurrency Trading [Python]- Bonus Resources.txt (0.1 KB) .pad
- 262090 (255.9 KB)
- 122272 (119.4 KB)
- 261084 (255.0 KB)
- 174427 (170.3 KB)
- 256438 (250.4 KB)
- 83931 (82.0 KB)
- 254413 (248.5 KB)
- 160091 (156.3 KB)
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- 253341 (247.4 KB)
- 208115 (203.2 KB)
- 254754 (248.8 KB)
- 1. Introduction.mp4 (6.1 MB)
- 1. Introduction.srt (1.0 KB)
- 2. Concepts.mp4 (33.1 MB)
- 2. Concepts.srt (5.6 KB)
- 3. Data Acquisition.mp4 (28.9 MB)
- 3. Data Acquisition.srt (7.5 KB)
- 4. Technical Analysis Indicators.mp4 (89.3 MB)
- 4. Technical Analysis Indicators.srt (13.2 KB)
- 5. Biased Data Labelling.mp4 (21.8 MB)
- 5. Biased Data Labelling.srt (4.3 KB)
- 6. Rule Induction with RIPPER.mp4 (31.6 MB)
- 6. Rule Induction with RIPPER.srt (4.8 KB)
- 7. Backtesting our Model.mp4 (51.7 MB)
- 7. Backtesting our Model.srt (8.6 KB)
- 8. Reading and Trading our Rules.mp4 (42.1 MB)
- 8. Reading and Trading our Rules.srt (7.2 KB)
Code:
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