Download USC.EDU - Practical Python for Algorithmic Trading Torrent

Torrent Contents Size: 324.9 MB

USC.EDU - Practical Python for Algorithmic Trading

▼ show more 41 files

01 - Algorithmic trading using machine learning.mp4	MP4	2.2 MB
01 - Algorithmic trading using machine learning.srt	SRT	1.1 KB
01 - Compute machine learning classification model.mp4	MP4	25.6 MB
01 - Compute machine learning classification model.srt	SRT	12.6 KB
01 - Compute machine learning regression model.mp4	MP4	9 MB
01 - Compute machine learning regression model.srt	SRT	3.4 KB
01 - Course summary.mp4	MP4	12.4 MB
01 - Course summary.srt	SRT	10.6 KB
01 - Download and export data.mp4	MP4	17 MB
01 - Download and export data.srt	SRT	7.3 KB
01 - Optimizing strategy parameters.mp4	MP4	13.5 MB
01 - Optimizing strategy parameters.srt	SRT	6.6 KB
01 - Why machine learning models overfit the data.mp4	MP4	12.7 MB
01 - Why machine learning models overfit the data.srt	SRT	5.6 KB
02 - Filter rows and create columns for trading strategies.mp4	MP4	17.3 MB
02 - Filter rows and create columns for trading strategies.srt	SRT	7 KB
02 - First configurations of the strategy class.mp4	MP4	12.8 MB
02 - First configurations of the strategy class.srt	SRT	5.4 KB
02 - How to evaluate regression models.mp4	MP4	12.2 MB
02 - How to evaluate regression models.srt	SRT	5.6 KB
02 - How to train models within the backtest.mp4	MP4	8.6 MB
02 - How to train models within the backtest.srt	SRT	3.7 KB
02 - Maximize your learning.mp4	MP4	7.7 MB
02 - Maximize your learning.srt	SRT	4.6 KB
02 - Pandas reporting with heatmaps.mp4	MP4	7.5 MB
02 - Pandas reporting with heatmaps.srt	SRT	2.7 KB
02 - What's next.mp4	MP4	1.3 MB
02 - What's next.srt	SRT	1.6 KB
03 - Challenge Train test with other tickers.mp4	MP4	9.9 MB
03 - Challenge Train test with other tickers.srt	SRT	4.3 KB
03 - Configure and run the backtest with the regression model.mp4	MP4	5.4 MB
03 - Configure and run the backtest with the regression model.srt	SRT	2.4 KB
03 - Simulate the investment strategy step by step.mp4	MP4	12.7 MB
03 - Simulate the investment strategy step by step.srt	SRT	5.2 KB
03 - Smart optimization to save computing time.mp4	MP4	12.9 MB
03 - Smart optimization to save computing time.srt	SRT	5.8 KB
04 - Challenge Optimization with other datasets.mp4	MP4	11.2 MB
04 - Challenge Optimization with other datasets.srt	SRT	5.4 KB
04 - How to interpret the backtesting dashboard.mp4	MP4	15.9 MB
04 - How to interpret the backtesting dashboard.srt	SRT	6.5 KB
04 - Run the backtest on the strategy.mp4	MP4	12.9 MB
04 - Run the backtest on the strategy.srt	SRT	5.1 KB
04 - Walk forward validation in machine learning.mp4	MP4	27.2 MB
04 - Walk forward validation in machine learning.srt	SRT	11.5 KB
05 - Anchored walk forward validation in backtesting.mp4	MP4	17.6 MB
05 - Anchored walk forward validation in backtesting.srt	SRT	7.7 KB
05 - Challenge Backtest with other tickers.mp4	MP4	11.9 MB
05 - Challenge Backtest with other tickers.srt	SRT	5.5 KB
06 - Create library for backtesting strategies.mp4	MP4	9.5 MB
06 - Create library for backtesting strategies.srt	SRT	3.3 KB
07 - Interpret reports from walk forward validation approaches.mp4	MP4	3 MB
07 - Interpret reports from walk forward validation approaches.srt	SRT	1.6 KB
08 - Challenge Walk forward with other tickers.mp4	MP4	14.9 MB
08 - Challenge Walk forward with other tickers.srt	SRT	7.2 KB
Bonus Resources.txt	TXT	409.6 B
Get Bonus Downloads Here.url	URL	204.8 B

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USC.EDU - Practical Python for Algorithmic Trading

Torrent Contents Size: 324.9 MB

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