ดูวิดีโอตอนนี้ Predict The Stock Market With Machine Learning And Python
In this tutorial, we’ll learn how to predict tomorrow’s S&P 500 index price using historical data. We’ll also learn how to avoid common issues that make most stock price models overfit in the real world.
We’ll start by downloading S&P 500 prices using a package called yfinance. Then, we’ll clean up the data with pandas, and get it ready for machine learning.
We’ll train a random forest model and make predictions using backtesting. Then, we’ll improve the model by adding predictors. We’ll end with next steps you can use to improve the model on your own.
You can find an overview of the project and the code here – .
If you enjoyed this tutorial, check out this link for free courses that will help you master data skills.
Chapters
00:00 – Introduction
01:28 – Downloading S&P 500 price data
03:30 – Cleaning and visualizing our stock market data
04:29 – Setting up our target for machine learning
08:19 – Training an initial machine learning model
17:01 – Building a backtesting system
23:05 – Adding additional predictors to our model
28:45 – Improving our model
33:37 – Summary and next steps with the model
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“Predict The Stock Market With Machine Learning And Python“, จากแหล่งที่มา: https://www.youtube.com/watch?v=1O_BenficgE
แฮชแท็กสำหรับ Predict The Stock Market With Machine Learning And Python: #Predict #Stock #Market #Machine #Learning #Python
บทความ Predict The Stock Market With Machine Learning And Python มีเนื้อหาดังต่อไปนี้: In this tutorial, we’ll learn how to predict tomorrow’s S&P 500 index price using historical data. We’ll also learn how to avoid common issues that make most stock price models overfit in the real world.
We’ll start by downloading S&P 500 prices using a package called yfinance. Then, we’ll clean up the data with pandas, and get it ready for machine learning.
We’ll train a random forest model and make predictions using backtesting. Then, we’ll improve the model by adding predictors. We’ll end with next steps you can use to improve the model on your own.
You can find an overview of the project and the code here – .
If you enjoyed this tutorial, check out this link for free courses that will help you master data skills.
Chapters
00:00 – Introduction
01:28 – Downloading S&P 500 price data
03:30 – Cleaning and visualizing our stock market data
04:29 – Setting up our target for machine learning
08:19 – Training an initial machine learning model
17:01 – Building a backtesting system
23:05 – Adding additional predictors to our model
28:45 – Improving our model
33:37 – Summary and next steps with the model
———————————
Join 1M+ Dataquest learners today!
Master data skills and change your life.
Sign up for free:
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ขณะนี้วิดีโอนี้มียอดดู 737379 วิดีโอสร้างขึ้นเมื่อ 2022-05-23 23:00:00 คุณต้องการดาวน์โหลดวิดีโอนี้โดยไปที่ลิงก์ต่อไปนี้: https://www.youtubepp.com/watch?v=1O_BenficgE, แท็ก: #Predict #Stock #Market #Machine #Learning #Python
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