What You Need to Know Before
You Start
Starts 17 June 2025 04:53
Ends 17 June 2025
Introduction to Data Science and scikit-learn in Python
2032 Courses
Not Specified
Optional upgrade avallable
All Levels
Progress at your own speed
Free
Optional upgrade avallable
Overview
Title:
Introduction to Data Science and scikit-learn in Python
Description:
Dive into the dynamic field of data science with our comprehensive Python course! Designed for beginners and intermediate learners, this course will equip you with the skills to harness Python and artificial intelligence effectively.
Starting from the basics, you will learn essential Python programming for data science, followed by an exploration of key libraries like Numpy, Pandas, and scikit-learn, crucial for exploratory data analysis (EDA) and machine learning.
Gain practical experience as you delve into the theory and mathematics behind linear regression, and execute a complete pipeline that includes reading, cleaning data, and applying regression models to predict diabetes progression. The course culminates with you applying a classification model to determine the presence or absence of heart disease based on patient health data.
University:
Not specified
Provider:
Coursera
Categories:
Python Courses, Machine Learning Courses, scikit-learn Courses
Taught by
Sabrina Moore, Rajvir Dua and Neelesh Tiruviluamala
Subjects
