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: 7 months ago
JSON representation
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 (almost 4 years ago)
- Default Branch: master
- Last Pushed: 2023-08-05T08:04:42.000Z (about 2 years ago)
- Last Synced: 2025-04-01T05:33:23.431Z (7 months ago)
- Topics: data-science, machine-learning, pandas, python
- Language: Jupyter Notebook
- Homepage:
- Size: 70.2 MB
- Stars: 1,022
- Watchers: 46
- Forks: 1,144
- Open Issues: 23
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- 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/)