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Data Engineering and Machine Learning using Spark
Spark for Data Engineering In this first of two modules, learn what streaming data is and get the essential knowledge to use Spark for Structured Streaming. Learn about data sources, streaming output modes, and supported…
Predicting Wine Quality with Random Forest and Scikit-Learn
In real life we face various classification problems, such as predicting whether an email is spam or not, or whether a credit card transaction is fraudulent or not, or what label the mobile phone should…
Advanced AI Techniques for the Supply Chain
Machine Learning in the Supply Chain In this module, we’ll learn about the use cases of machine learning in the supply chain. We’ll start with the big picture applications before diving deeper into specific algorithms,…
Introduction to Data Science and scikit-learn in Python
Introduction to Python Programming for Hypothesis Testing In this module, we’ll get ourselves started with Programming in Python. After becoming familiar with Python and the Jupyter Notebook interface, we’ll dive into some basic coding paradigms…
Introduction to Machine Learning in Sports Analytics
Machine Learning Concepts This week will introduce the concept of machine learning and describe the four major areas of places it can be used in sports analytics. The machine learning pipeline will be discussed, as…
Features and Boundaries
- Getting Started: Features and Boundaries
- Edge Detection
- Boundary Detection
- SIFT Detector
- Image Stitching
- Face Detection
Build an Anomaly Detection Model using PyCaret
Project Overview By the end of this project, you will create an end-to-end Anomaly Detection Model using PyCaret a low-code Python open-source Machine Learning library. You will learn how to automate the major steps for…
Employee Attrition Prediction Using Machine Learning
Project Overview In this project-based course, we will build, train and test a machine learning model to predict employee attrition using features such as employee job satisfaction, distance from work, compensation and performance. We will…
Build and Operate Machine Learning Solutions with Azure
Use the Azure Machine Learning SDK to train a model Azure Machine Learning provides a cloud-based platform for training, deploying, and managing machine learning models. In this module, you will learn how to provision an…
Create Machine Learning Models in Microsoft Azure
Explore data and create models to predict numeric values Data exploration and analysis is at the core of data science. Data scientists require skills in languages like Python to explore, visualize, and manipulate data. n…
Medical Insurance Premium Prediction with Machine Learning
Project Overview In this project-based course, we will build, train and test a machine learning model to predict insurance cost based on customer features such as age, gender, Body Mass Index (BMI), number of children,…
Machine Learning for Investment Professionals
This course is uniquely tailored to the needs of investment professionals or those with investment industry knowledge who want to develop a basic, practical understanding of machine learning techniques and how they are used in…
Bike Rental Sharing Demand Prediction with Machine Learning
Project Overview In this project-based course, we will build, train and test a machine learning model to predict bike sharing demand. Bike sharing services enable people to rent a bike from one location and drop…
Machine Teaching for Autonomous AI
An Introduction to Autonomous AI & Machine Teaching This module lays the foundation for this course and the entire specialization. You’ll learn what makes autonomous AI different from other forms of artificial intelligence. You’re invited…
Machine Learning: an overview
- Week 1 – Supervised Learning
- Week 2 – Unsupervised Learning
- Week 3 – Reinforcement Learning