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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: about 2 months 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 (almost 7 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 (2 months 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)