Learn object-oriented programming principles by creating your own text-based adventure game in Python.

This course covers the topic of recursion in programming and prepares you to ace any technical interview that has recursion based problems.

A crash course on making ML software more reliable, including best practices on testing and other aspects of defensive programming.

This course equips you with tools to develop responsible AI systems that are fair, transparent, accountable, and beneficial to society as a whole.

Learn how to build and evaluate machine learning models using scikit-learn, from data preprocessing to model selection and evaluation.

We will equip you with everything you need to properly start using Python in your daily work activities. You will learn how to install Python and work with it through different graphical front-ends. You will then learn how to define objects and how to recognize different characteristics and functionalities. Finally, you will learn how to make Python execute a series of instructions in a sequential order through loops, as well as how to write your own functions.

Automate shipping processes by integrating the Shippo API with Python to manage orders, labels, and tracking.

In this course, you will learn how to create a recipient, quote, transfer, and fund from your Wise account using Payouts API.

PyCaret is an open-source, machine learning library in Python. We can use it in machine learning tasks, from data preparation to model deployment.

This course will help you becoming a better software engineer by mastering the subject with the help of elaborated concepts, case studies, and a project.

This course will teach you how to handle geospatial data and find the shortest possible route between coordinates by car using Python.

AI’s popularity has resulted in numerous well-publicized cases of bias, injustice, and discrimination. Often these harms occur in machine learning projects that have the best of goals, developed by data scientists with good intentions. This course, the second in the data science ethics program for both practitioners and managers, provides guidance and practical tools to build better models and avoid these problems.