Youtor
Python Trading With Machine Learning Predictions
>> YOUR LINK HERE: ___ http://youtube.com/watch?v=yEyG8rYM9J4
Want to learn how to use Python and machine learning to analyze price trends? In this video, we'll show you how to make realistic predictions on USD CHF exchange prices using K-nearest neighbors classifier and XGBOOST. We've already acquired and loaded the data in our previous video and added technical indicators to our Pandas DataFrame. Now, we'll focus on the model fitting process and validation. We'll also address a common mistake of considering actual price values for machine learning fitting and provide tips for correct use of machine learning models. Plus, we'll include a trading strategy and combine it with the fitted models. Don't miss out on this insightful video! • 🍓 If you want to follow structured courses with more details and practice exercises check my About page for Discount Coupons on my Udemy courses covering: Python basics, Object Oriented Programming and Data Analysis with NumPy and Pandas, ... more courses are on the way drop me a message if you have a particular interesting topic! Good luck! • You may download the Jupyter notebook using this link: • https://drive.google.com/file/d/1JTm6... • 00:00 Introduction • 03:20 K Nearest Neighbors Algorithm • 04:52 preparing Data for analysis • 09:00 Fitting and evaluating the KNN Machine Learning model • 16:30 Fitting and evaluating the XGBoost model • 17:42 Correcting a common mistake of Data sampling • 20:15 retesting Machine Learning models • 21:48 XGBoost feature importance plot • #algotrading #technicalindicators #pythonprogramming
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