CourseWikia com USC EDU Practical Python for Algorithmic Trading | 0E12018FE0A27CF5CF25046C5EF881B8A6ADC0E4

CourseWikia com USC EDU Practical Python for Algorithmic Trading

Name	[ CourseWikia.com ] USC.EDU - Practical Python for Algorithmic Trading	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	340.6 MB
Total Files	56
Last Seen	2025-05-13 23:47
Hash	0E12018FE0A27CF5CF25046C5EF881B8A6ADC0E4

/
Get Bonus Downloads Here.url	0.2 KB
/01 - Introduction/
01 - Algorithmic trading using machine learning.mp4	2.3 MB
01 - Algorithmic trading using machine learning.srt	1.1 KB
02 - Maximize your learning.mp4	8.0 MB
02 - Maximize your learning.srt	4.7 KB
/.../02 - 1. Working with Stock Market Data/
01 - Download and export data.mp4	17.8 MB
01 - Download and export data.srt	7.5 KB
02 - Filter rows and create columns for trading strategies.mp4	18.1 MB
02 - Filter rows and create columns for trading strategies.srt	7.2 KB
/.../03 - 2. Backtesting with Classification Models/
01 - Compute machine learning classification model.mp4	26.9 MB
01 - Compute machine learning classification model.srt	12.9 KB
02 - First configurations of the strategy class.mp4	13.4 MB
02 - First configurations of the strategy class.srt	5.5 KB
03 - Simulate the investment strategy step by step.mp4	13.3 MB
03 - Simulate the investment strategy step by step.srt	5.3 KB
04 - Run the backtest on the strategy.mp4	13.5 MB
04 - Run the backtest on the strategy.srt	5.2 KB
05 - Challenge Backtest with other tickers.mp4	12.5 MB
05 - Challenge Backtest with other tickers.srt	5.6 KB
/.../04 - 3. Backtesting with Regression Models/
01 - Compute machine learning regression model.mp4	9.4 MB
01 - Compute machine learning regression model.srt	3.5 KB
02 - How to evaluate regression models.mp4	12.8 MB
02 - How to evaluate regression models.srt	5.7 KB
03 - Configure and run the backtest with the regression model.mp4	5.7 MB
03 - Configure and run the backtest with the regression model.srt	2.4 KB
04 - How to interpret the backtesting dashboard.mp4	16.6 MB
04 - How to interpret the backtesting dashboard.srt	6.6 KB
/.../05 - 4. Backtesting Optimization/
01 - Optimizing strategy parameters.mp4	14.2 MB
01 - Optimizing strategy parameters.srt	6.7 KB
02 - Pandas reporting with heatmaps.mp4	7.8 MB
02 - Pandas reporting with heatmaps.srt	2.7 KB
03 - Smart optimization to save computing time.mp4	13.5 MB
03 - Smart optimization to save computing time.srt	5.9 KB
04 - Challenge Optimization with other datasets.mp4	11.8 MB
04 - Challenge Optimization with other datasets.srt	5.6 KB
/.../06 - 5. The Overfitting Problem in Backtesting/
01 - Why machine learning models overfit the data.mp4	13.3 MB
01 - Why machine learning models overfit the data.srt	5.7 KB
02 - How to train models within the backtest.mp4	9.0 MB
02 - How to train models within the backtest.srt	3.7 KB
03 - Challenge Train test with other tickers.mp4	10.3 MB
03 - Challenge Train test with other tickers.srt	4.4 KB
04 - Walk forward validation in machine learning.mp4	28.6 MB
04 - Walk forward validation in machine learning.srt	11.8 KB
05 - Anchored walk forward validation in backtesting.mp4	18.5 MB
05 - Anchored walk forward validation in backtesting.srt	7.8 KB
06 - Create library for backtesting strategies.mp4	10.0 MB
06 - Create library for backtesting strategies.srt	3.3 KB
07 - Interpret reports from walk forward validation approaches.mp4	3.2 MB
07 - Interpret reports from walk forward validation approaches.srt	1.7 KB
08 - Challenge Walk forward with other tickers.mp4	15.6 MB
08 - Challenge Walk forward with other tickers.srt	7.3 KB
/07 - Conclusion/
01 - Course summary.mp4	13.0 MB
01 - Course summary.srt	10.9 KB
02 - What's next.mp4	1.4 MB
02 - What's next.srt	1.6 KB
/~Get Your Files Here !/
Bonus Resources.txt	0.4 KB
Total files 56