Introduction to Data Science and scikit-learn in Python
About this Course
This course will teach you how to leverage the power of Python and artificial intelligence to create and test hypothesis. We\'ll start for the ground up, learning some basic Python for data science before diving into some of its richer applications to test our created hypothesis. We\'ll learn some of the most important libraries for exploratory data analysis (EDA) and machine learning such as Numpy, Pandas, and Sci-kit learn. After learning some of the theory (and math) behind linear regression, we\'ll go through and full pipeline of reading data, cleaning it, and applying a regression model to estimate the progression of diabetes. By the end of the course, you\'ll apply a classification model to predict the presence/absence of heart disease from a patient\'s health data.Created by: LearnQuest
Related Online Courses
This series of courses introduces data in the cloud and Looker to someone who would like to become a Looker Developer. It includes the background on how data is managed in the cloud and how it can... more
In this course, you learn practical skills to explore and visualize data. You will follow a small business owner\'s data-driven journey to improve company performance to gain skills to prepare... more
This course introduces tools that help enhance reproducibility and replicability in the context of cancer informatics. It uses hands-on exercises to demonstrate in practical terms how to get... more
This course focuses on the climate impacts occurring and expected to occur across the United States. Our approach will be regional and sectoral, with consideration of impacts on water resources,... more
By the end of this 2 hour-long guided project, you will be fluent in identifying and analyzing business markets and how to discover their attractiveness to new products and services. This project... more
Powered by
