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Machine Learning Fundamentals in Python

Learn the art of Machine Learning and come away as a boss at prediction, pattern recognition, and the beginnings of Deep and Reinforcement Learning.
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Track Description

Machine Learning Fundamentals in Python

Discover the machine learning fundamentals and explore how machine learning is changing the world. Join the ML revolution today! If you’re new to the discipline, this is an ideal place to start. You’ll cover the machine learning basics with Python, starting with supervised learning with the scikit-learn library. You’ll also learn how to cluster, transform, visualize, and extra insights from data using unsupervised learning and scipy. As you progress, you’ll explore the fundamentals of neural networks and deep learning models using PyTorch. You’ll finish the track by covering reinforcement learning, solving a myriad of problems as you go! By the time you’re finished, you’ll understand the essential machine learning concepts and be able to apply the fundamentals of machine learning with Python.

Prerequisites

There are no prerequisites for this track

  • Course

    1

    Supervised Learning with scikit-learn

    Grow your machine learning skills with scikit-learn in Python. Use real-world datasets in this interactive course and learn how to make powerful predictions!

  • Project

    bonus

    Predictive Modeling for Agriculture

    Dive into agriculture using supervised machine learning and feature selection to aid farmers in crop cultivation and solve real-world problems.

  • Course

    3

    Unsupervised Learning in Python

    Learn how to cluster, transform, visualize, and extract insights from unlabeled datasets using scikit-learn and scipy.

Machine Learning Fundamentals in Python
4 courses
Track
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