Loading...

Machine Learning

573 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

See path

5 lessons

24 practices

2 hours

Feature Engineering

Course details

Feature Engineering for ML

Preview

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

Previous Course

Next Course: Introduction to Machine Learning with Gradient Boosting Models

Meet Cosmo:

The smartest AI guide in the universe

Our built-in AI guide and tutor, Cosmo, prompts you with challenges that are built just for you and unblocks you when you get stuck.

From our community

Hear what our customers have to say about CodeSignal Learn

I'm impressed by the quality and can't stop recommending it. It's also a lot of fun!

Francisco Aguilar Meléndez

Data Scientist

+11

I love that it's personalized. When I'm stuck, I don't have to hope my Google searches come out successful. The AI mentor Cosmo knows exactly what I need.

Faith Yim

Software Engineer

+14

It's an amazing product and exceeded my expectations, helping me prepare for my job interviews. Hands-on learning requires you to actually know what you are doing.