Machine Learning
990 learners
Preparing Financial Data for Machine Learning
This course explores the essential steps for preparing data for machine learning, focusing specifically on financial time series data. From feature engineering to scaling and train-test splitting, you will learn to apply best practices in preprocessing data to pave the way for successful model training and evaluation.
Pandas
Python
Scikit-learn
5 lessons
24 practices
2 hours
Feature Engineering
Course details
Modify Tesla Stock Data Columns
Debug the Tesla Stock Code
Creating and Inspecting New Financial Features
Create New Features for Tesla Stock Data
Tesla Stock Feature Engineering
Join the 1M+ learners on CodeSignal
Be a part of our community of 1M+ users who develop and demonstrate their skills on CodeSignal
