Hands-on Machine Learning for Stock Trading [Python]

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Files

Hands-on Machine Learning for Stock Trading [Python] (Size: 234.3 MB)
  .pad
  Bonus Resources.txt 102.4 B
  14529 14.2 KB
  14727 14.4 KB
  30343 29.6 KB
  66430 64.9 KB
  87209 85.2 KB
  92641 90.5 KB
  120196 117.4 KB
  156124 152.5 KB
  249579 243.7 KB
  250876 245 KB
  254961 249 KB
  255701 249.7 KB
  256491 250.5 KB
  258494 252.4 KB
  259383 253.3 KB
  260360 254.3 KB
  262090 255.9 KB
  1. Content
  1. Introduction.mp4 10.2 MB
  1. Introduction.srt 1.7 KB
  2. Model.mp4 37.9 MB
  2. Model.srt 6.3 KB
  3. Getting historical data.mp4 38.2 MB
  3. Getting historical data.srt 12.3 KB
  4. Creating technical analysis indicators.mp4 33.1 MB
  4. Creating technical analysis indicators.srt 7 KB
  5. Labelling our data.mp4 23.5 MB
  5. Labelling our data.srt 5.5 KB
  6. Training our Neural Network.mp4 56.9 MB
  6. Training our Neural Network.srt 11 KB
  7. Backtesting our Model.mp4 11 MB
  7. Backtesting our Model.srt 2.7 KB
  8. Forecasting today returns.mp4 20.7 MB
  8. Forecasting today returns.srt 3.6 KB

Description


Hands-on Machine Learning for Stock Trading [Python]
https://t.me/Network1337x

What you'll learn

How to create a Neural Network with Python

How to prepare data for Time Series Analysis

How to evaluate Machine Learning models

How to perform a reliable backtest with Python

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