Book: Data Science from Scratch: First Principles with Python "Data Science from Scratch – First Principles with Python" by Joel Grus is a foundational guide to data science. The book is tailored for ...

This is the code repository for Principles of Data Science, published by Packt. It contains all the supporting project files necessary to work through the book from start to finish. Need to turn your ...

This repository is my personal take on Data Science from the book "Data Science from Scratch: First Principles with Python - 2nd Edition" authored by Joel Grus. Although familiar with some of its core ...

In its IBM Data Science Professional Certificate course, you will learn how to analyze and visualize data and build machine-learning models using Python, SQL, and open-source tools and libraries.

Data cleaning is the all-important first ... a mixture of Python, R, and common command-line tools, Cleaning Data for Effective Data Science follows the data cleaning pipeline from start to end, ...

Find out what makes Python a versatile powerhouse for modern software development—from data science to machine learning ... time and effort to produce your first programs.

It is a means of discovering valuable insight from massive stores of data. Data Science is inherently interdisciplinary: a fusion of statistics and computing science, with an underpinning of ...

Already using NumPy, Pandas, and Scikit-learn? Here are five more powerful Python data science tools that deserve a place in your toolkit. Python’s rich ecosystem of data science tools is a big ...