87 Courses
Tutorials
Introduction to the Confusion Matrix
A brief overview of the confusion matrix, how to create a matrix, and how to use such a matrix. A confusion matrix is one of the basic concepts in data science.
Tutorials
Introduction to Precision, Recall, and F1 in Classification Models
An introduction to the concepts of Precision, Recall, and F1 in data science. The importance of these concepts and when to use the techniques for measuring the accuracy of a model.
Tutorials
Introduction to Classification Models
An introduction to classification models and their usefulness in the world of data science. When to use classification models in machine learning to make better use of the data.
Tutorials
Introduction to Azure ML and Cloud Computing
Azure ML Studio is a fully-featured graphical data science tool that can be used to upload, analyze, clean, and visualize data with an intuitive interface, thus making the tasks easier.
Tutorials
Introduction to Big Data, Data Science and Predictive Analytics
An introduction to the wide world of Big Data and its presence all around us. A bird’s eye view of the subfields of predictive analytics and components of a big data pipeline.
Tutorials
Getting started with Python and R for Data Science
A guide to set up Python and R on a Windows, Mac, or Linux machine followed by a discussion on some common Python and R packages used for machine learning and data analysis.
Tutorials
Introduction to Web Scraping Using Python and Beautiful Soup
Web scraping is a very powerful tool for any data science professional. The fundamentals of web scraping, using Python's library (Beautiful Soup) can be of extreme help for a data scientist.
