https://github.com/dataquestio/project-walkthroughs

Data science, machine learning, and web development project code for https://www.youtube.com/c/Dataquestio .
https://github.com/dataquestio/project-walkthroughs

data-science machine-learning pandas python

Last synced: 4 months ago
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Data science, machine learning, and web development project code for https://www.youtube.com/c/Dataquestio .

• Host: GitHub
• URL: https://github.com/dataquestio/project-walkthroughs
• Owner: dataquestio
• Created: 2021-12-03T23:30:33.000Z (over 2 years ago)
• Default Branch: master
• Last Pushed: 2023-08-05T08:04:42.000Z (11 months ago)
• Last Synced: 2023-11-07T15:12:50.658Z (8 months ago)
• Topics: data-science, machine-learning, pandas, python
• Language: Jupyter Notebook
• Homepage:
• Size: 70.2 MB
• Stars: 700
• Watchers: 41
• Forks: 989
• Open Issues: 15
• Metadata Files:
  • Readme: README.md

Lists

• jimsghstars - dataquestio/project-walkthroughs - Data science, machine learning, and web development project code for https://www.youtube.com/c/Dataquestio . (Jupyter Notebook)

README

        
# Overview

This repository contains files, notebooks, and data used for live project walkthroughs on Dataquest.  You can watch the project walkthroughs on [Youtube](https://www.youtube.com/channel/UC_lePY0Lm0E2-_IkYUWpI5A).

These walkthroughs help you build complete end-to-end projects that can go into your portfolio.

# Prerequisites

To complete these projects, you'll need to have a good understanding of:

* Python syntax, including functions, if statements, and data structures

* Data cleaning

* Pandas syntax

* Using Jupyter notebook

* The basics of machine learning

Please make sure you've completed these Dataquest courses (or know the material) before trying these projects:

* [Python Introduction](https://www.dataquest.io/course/introduction-to-python/)

* [For Loops and If Statements](https://www.dataquest.io/course/for-loops-and-conditional-statements-in-python/)

* [Dictionaries In Python](https://www.dataquest.io/course/dictionaries-frequency-tables-and-functions-in-python/)

* [Functions and Jupyter Notebook](https://www.dataquest.io/course/python-functions-and-jupyter-notebook/)

* [Python Intermediate](https://www.dataquest.io/course/python-for-data-science-intermediate/)

* [Pandas and NumPy Fundamentals](https://www.dataquest.io/course/pandas-fundamentals/)

* [Data Cleaning](https://www.dataquest.io/course/python-datacleaning/)

* [Machine Learning Fundamentals](https://www.dataquest.io/course/machine-learning-fundamentals/)