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https://github.com/AmoDinho/datacamp-python-data-science-track
All the slides, accompanying code and exercises all stored in this repo. 🎈
https://github.com/AmoDinho/datacamp-python-data-science-track
bokeh data-science datacamp datacamp-course datacamp-exercises datacamp-machine-learning datacamp-projects datacamp-python datacamp-solutions-python datascience machinelearning natural-language-processing neural-network neural-networks nlp pandas python scikit-learn tokenization
Last synced: 7 days ago
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All the slides, accompanying code and exercises all stored in this repo. 🎈
- Host: GitHub
- URL: https://github.com/AmoDinho/datacamp-python-data-science-track
- Owner: AmoDinho
- License: mit
- Created: 2018-02-07T09:36:04.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2023-07-17T05:00:45.000Z (over 1 year ago)
- Last Synced: 2024-10-17T13:05:50.620Z (19 days ago)
- Topics: bokeh, data-science, datacamp, datacamp-course, datacamp-exercises, datacamp-machine-learning, datacamp-projects, datacamp-python, datacamp-solutions-python, datascience, machinelearning, natural-language-processing, neural-network, neural-networks, nlp, pandas, python, scikit-learn, tokenization
- Language: Python
- Homepage:
- Size: 74.1 MB
- Stars: 788
- Watchers: 20
- Forks: 524
- Open Issues: 3
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Data Camp: Data Scientist with Python 🎉🤖
![GitHub](https://img.shields.io/github/license/AmoDinho/datacamp-python-data-science-track) ![GitHub stars](https://img.shields.io/github/stars/AmoDinho/datacamp-python-data-science-track?style=social)
![Design Blocks](https://images.unsplash.com/photo-1518364538800-6bae3c2ea0f2?ixlib=rb-0.3.5&ixid=eyJhcHBfaWQiOjEyMDd9&s=193d96d744872badcbbf5bdfc7b347f2&auto=format&fit=crop&w=1951&q=80)
# All the slides, accompanying code and exercises are all stored in this repo!
[Sign Up to DataCamp Here!](https://www.datacamp.com)
## 🎮 List of Courses
- [Intro to Python for Data Science](https://github.com/AmoDinho/datacamp-python-data-science-track/tree/master/Intro%20to%20Python%20for%20Data%20Science)
- [Intermediate Python for Data Science](https://github.com/AmoDinho/datacamp-python-data-science-track/tree/master/Intermediate%20Python%20for%20Data%20Science)
- [Python Data Science Toolbox (Part 1)](https://github.com/AmoDinho/datacamp-python-data-science-track/tree/master/Python%20Data%20Science%20Toolbox%20pt1)
- [Python Data Science Toolbox (Part 2)](https://github.com/AmoDinho/datacamp-python-data-science-track/tree/master/Python%20Data%20Science%20Toolbox%20pt2)
- [Importing Data in Python (Part 1)](https://github.com/AmoDinho/datacamp-python-data-science-track/tree/master/Importing%20Data%20in%20Python%20pt1)
- [Importing Data in Python (Part 2)](https://github.com/AmoDinho/datacamp-python-data-science-track/tree/master/Importing%20Data%20in%20Python%20pt2)
- [Cleaning Data in Python](https://github.com/AmoDinho/datacamp-python-data-science-track/tree/master/Cleaning%20Data%20in%20Python)
- [Pandas Foundations](https://github.com/AmoDinho/datacamp-python-data-science-track/tree/master/Pandas%20Foundations)
- [Manipulating DataFrames with pandas](https://github.com/AmoDinho/datacamp-python-data-science-track/tree/master/Manipulating%20DataFrames%20with%20pandas)
- [Merging DataFrames with pandas](https://github.com/AmoDinho/datacamp-python-data-science-track/tree/master/Merging%20DataFrames%20with%20pandas)
- [Introduction to Databases in Python](https://github.com/AmoDinho/datacamp-python-data-science-track/tree/master/Introduction%20to%20Databases%20in%20Python)
- [Introduction to Data Visualization with Python](https://github.com/AmoDinho/datacamp-python-data-science-track/tree/master/Introduction%20to%20Data%20Visualizaion%20with%20Python)
- [Interactive Data Visualization with Bokeh](https://github.com/AmoDinho/datacamp-python-data-science-track/tree/master/Interactive%20Data%20Visualization%20with%20Bokeh)
- [Statistical Thinking in Python (Part 1)](https://github.com/AmoDinho/datacamp-python-data-science-track/tree/master/Statistical%20Thinking%20in%20Python%20(Part%201))
- [Statistical Thinking in Python (Part 2)](https://github.com/AmoDinho/datacamp-python-data-science-track/tree/master/Statistical%20Thinking%20in%20Python%20(Part%202))
- [Supervised Learning with scikit-learn](https://github.com/AmoDinho/datacamp-python-data-science-track/tree/master/Supervised%20Learning%20with%20scikit-learn)
- [Machine Learning with the Experts: School Budgets](https://github.com/AmoDinho/datacamp-python-data-science-track/tree/master/Machine%20Learning%20with%20Experts-School%20Budgets)
- [Unsupervised Learning in Python](https://github.com/AmoDinho/datacamp-python-data-science-track/tree/master/Unsupervised%20Learning%20in%20Python)
- [Deep Learning in Python](https://github.com/AmoDinho/datacamp-python-data-science-track/tree/master/Deep%20Learning%20in%20Python)
- [Network Analysis in Python (Part 1)](https://github.com/AmoDinho/datacamp-python-data-science-track/tree/master/Network%20Analysis%20in%20Python%20(Part%201))
### 💣 Bonus
- [Natural Language Processing Fundamentals in Python](https://github.com/AmoDinho/datacamp-python-data-science-track/tree/master/Natural%20Language%20Processing%20Fundamentals%20in%20Python)
- [Correlation & Regression](https://github.com/AmoDinho/datacamp-python-data-science-track/tree/master/Correlation%20and%20Regression)
## 🍣 Contributions
Anyone is welcome to contribute please check out the issues!
## 📄 License[MIT License](https://github.com/AmoDinho/datacamp-python-data-science-track/blob/master/LICENSE)