Content

Description

Unlock modern machine learning techniques with Python by using the latest cutting-edge open source Python libraries.

This is Part 1 of the Python Machine Learning series. In this course, we provide a practical approach to key frameworks in data science and machine learning. We cover the mathematics behind several machine learning algorithms. Then, using we use Python to implement these algorithms from scratch and with the scikit-learn library.

Objectives

Understand the key frameworks in data science, machine learning, and deep learning, Harness the power of scikit-learn, Learn the mechanics of classification algorithms to implement the best tool for the job

Prerequisites

Basic Python programming and familiarity with the NumPy library, Understanding of basic linear algebra concepts, Knowledge of introductory calculus (preferable, but not necessary)

Provided By

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Certificate of Completion

Certificate Of Completion

Complete this entire course to earn a Python Machine Learning (Part 1) Certificate of Completion