Machine Learning for Finance in Python

Overview

Context of the Machine Learning for Finance in Python course at Data Camp

Time series data is all around us; some examples are the weather, human behavioral patterns as consumers and members of society, and financial data.

 You'll understand how to prepare our features for linear models, xgboost models, and neural network models. We will then use linear models, decision trees, random forests, and neural networks to predict the future price of stocks in the US markets.

You will also learn how to evaluate the performance of the various models we train in order to optimize them, so our predictions have enough accuracy to make a stock trading strategy profitable.