Everything You Need to Learn and Build
in Machine Learning
ApX Machine Learning provides 100% free courses and a powerful platform for creating and deploying machine learning models.
Accessible for Beginners,Valuable for Experts
ApX brings together everything you need to explore and grow in machine learning.
Whether you're starting with the basics or refining advanced skills, it's all here in one place.
Just Getting Started?
Explore free, easy-to-follow courses that walk you through foundational concepts and help you build confidence in ML.
Looking to Go Deeper?
Access tools and resources designed to make complex tasks simpler and help you stay focused on solving meaningful problems.
Want to Save Time?
Spend less time searching for answers and more time learning and building. Everything you need is at your fingertips.
Learn Here
Nov 24, 2024
This course provides a comprehensive introduction to the field of data science. It covers fundamental concepts, basic principles, and essential techniques necessary for analyzing data. With no prior knowledge required, learners will explore the world of data science through simple, practical examples and step-by-step guidance.
Nov 27, 2024
Learn the fundamentals of SQL, the essential language for data analysis and manipulation. This course covers basic concepts and practical skills needed for data science applications, allowing you to query databases efficiently and extract meaningful insights.
Dec 2, 2024
This course provides a comprehensive introduction to the fundamental concepts of machine learning. Learn how machines can learn from data and make predictions or decisions without being explicitly programmed. Designed for absolute beginners, this course covers essential topics, including supervised and unsupervised learning, model evaluation, and basic algorithms.
From our blog
Dec 8, 2024
Choosing the right library for data manipulation in Python can be overwhelming, especially with tools like Pandas and Polars offering distinct advantages. In this comprehensive guide, we explore the features, performance, and trade-offs of these two powerful libraries to help you make an informed decision for your data workflows.
Dec 8, 2024
Looking to explore further into machine learning theory and its practical foundations? This is a curated a list of the top 10 must-read machine learning papers that have shaped the field. Whether you're just starting or are a seasoned practitioner, these papers are essential for understanding key concepts and trends in ML.
Dec 7, 2024
JAX is transforming the way machine learning practitioners and researchers handle numerical computations. With its flexibility, speed, and powerful features like automatic differentiation, JAX is becoming a must-learn tool. In this post, we explore ten compelling reasons why JAX is a game-changer for machine learning in 2024 and how it compares to other popular frameworks like PyTorch and TensorFlow.
Machine Learning Tools That Work for You
For Anyone Who Knows the Struggle Is Real...
We've all been there:
ValueError: Input contains NaN, infinity, or a value too large
When you realize you forgot to clean your data.
NotFittedError: This <estimator> instance is not fitted yet
Because you called .predict() before .fit()—again.
ValueError: X has 5 features, but StandardScaler is expecting 6
When your training and test datasets don't play nicely.
We've been through the same frustrations, so you don't have to.
Automated Machine Learning Platform
Watch the video to see how ApX AutoML can help your workflow.