Machine Learning for Finance in Python Data Camp

Overview

Context

Machine learning has a huge number of applications within the finance industry and is commonly used to predict stock values and maintain a strong stock portfolio. This Machine Learning for Finance in Python course offered by Data Camp will teach you how to use Python to calculate technical indicators from historical stock data and create features and targets.

Build Your Knowledge of ML Models

Strong stock predictions start with good data preparation. You’ll learn how to prepare your financial data for ML algorithms and fit it into various models, including linear models, xgboost models, and neural network models.

The second chapter moves on to using Python and forest-based machine learning methods to enhance your predictions.

The second half of this course will cover how to scale your data for use in KNN and neural networks before using those tools to predict.You’ll learn how to plot losses, measure performance, and visualize your prediction results.