Introduction to Data Science and scikit-learn in Python

Übersicht

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

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Unterrichtet von

Sabrina Moore, Rajvir Dua and Neelesh Tiruviluamala

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Fachgebiete