Torrent Info
Title [ CourseWikia.com ] USC.EDU - Practical Python for Algorithmic Trading
Category
Size 324.85MB

Files List
Please note that this page does not hosts or makes available any of the listed filenames. You cannot download any of those files from here.
01 - Algorithmic trading using machine learning.mp4 2.19MB
01 - Algorithmic trading using machine learning.srt 1.08KB
01 - Compute machine learning classification model.mp4 25.65MB
01 - Compute machine learning classification model.srt 12.61KB
01 - Compute machine learning regression model.mp4 8.96MB
01 - Compute machine learning regression model.srt 3.41KB
01 - Course summary.mp4 12.44MB
01 - Course summary.srt 10.60KB
01 - Download and export data.mp4 16.98MB
01 - Download and export data.srt 7.35KB
01 - Optimizing strategy parameters.mp4 13.50MB
01 - Optimizing strategy parameters.srt 6.57KB
01 - Why machine learning models overfit the data.mp4 12.67MB
01 - Why machine learning models overfit the data.srt 5.58KB
02 - Filter rows and create columns for trading strategies.mp4 17.27MB
02 - Filter rows and create columns for trading strategies.srt 7.01KB
02 - First configurations of the strategy class.mp4 12.76MB
02 - First configurations of the strategy class.srt 5.39KB
02 - How to evaluate regression models.mp4 12.21MB
02 - How to evaluate regression models.srt 5.57KB
02 - How to train models within the backtest.mp4 8.59MB
02 - How to train models within the backtest.srt 3.65KB
02 - Maximize your learning.mp4 7.67MB
02 - Maximize your learning.srt 4.58KB
02 - Pandas reporting with heatmaps.mp4 7.46MB
02 - Pandas reporting with heatmaps.srt 2.67KB
02 - What's next.mp4 1.31MB
02 - What's next.srt 1.60KB
03 - Challenge Train test with other tickers.mp4 9.87MB
03 - Challenge Train test with other tickers.srt 4.28KB
03 - Configure and run the backtest with the regression model.mp4 5.41MB
03 - Configure and run the backtest with the regression model.srt 2.39KB
03 - Simulate the investment strategy step by step.mp4 12.68MB
03 - Simulate the investment strategy step by step.srt 5.17KB
03 - Smart optimization to save computing time.mp4 12.89MB
03 - Smart optimization to save computing time.srt 5.77KB
04 - Challenge Optimization with other datasets.mp4 11.23MB
04 - Challenge Optimization with other datasets.srt 5.43KB
04 - How to interpret the backtesting dashboard.mp4 15.86MB
04 - How to interpret the backtesting dashboard.srt 6.45KB
04 - Run the backtest on the strategy.mp4 12.92MB
04 - Run the backtest on the strategy.srt 5.07KB
04 - Walk forward validation in machine learning.mp4 27.24MB
04 - Walk forward validation in machine learning.srt 11.52KB
05 - Anchored walk forward validation in backtesting.mp4 17.61MB
05 - Anchored walk forward validation in backtesting.srt 7.65KB
05 - Challenge Backtest with other tickers.mp4 11.91MB
05 - Challenge Backtest with other tickers.srt 5.51KB
06 - Create library for backtesting strategies.mp4 9.53MB
06 - Create library for backtesting strategies.srt 3.26KB
07 - Interpret reports from walk forward validation approaches.mp4 3.01MB
07 - Interpret reports from walk forward validation approaches.srt 1.62KB
08 - Challenge Walk forward with other tickers.mp4 14.91MB
08 - Challenge Walk forward with other tickers.srt 7.17KB
Bonus Resources.txt 386B
Get Bonus Downloads Here.url 181B
Distribution statistics by country
Denmark (DK) 3
Poland (PL) 2
Kazakhstan (KZ) 1
Singapore (SG) 1
Thailand (TH) 1
Nepal (NP) 1
Turkey (TR) 1
Total 10
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