Best way to learn ML/AI hands-on as a developer?

This page summarizes the projects mentioned and recommended in the original post on /r/MLQuestions

Our great sponsors
  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • SaaSHub - Software Alternatives and Reviews
  • ivy-wallet

    Ivy Wallet is an open-source money manager app for android that you can either build or download from Google Play.

    I have the following problem, I'm the creator of Ivy Wallet, and I have my daily expenses for the last 2 years ~= 600 records. My goal is to make a model that'll predict my daily expenses for an unknown arbitrary date.

  • matplotlib

    matplotlib: plotting with Python

    An example of how I would do this is to just plot your data on a line graph (https://matplotlib.org/) . Are there any repeating trends? Next try splitting your data into day of the week, day of the month, months, etc. Look for any kind of seasonality (we're trying to use the past to predict the future, so if the future is not like the past our models will fail).

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

Suggest a related project

Related posts