https://github.com/simoneas02/data-science
🐍 A planning study to become a data scientist and to improve my current skills. 🤘🏼🌻
https://github.com/simoneas02/data-science
data data-analysis data-science data-visualization deep-learning machine-learning pandas python3 r sql
Last synced: 6 months ago
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🐍 A planning study to become a data scientist and to improve my current skills. 🤘🏼🌻
- Host: GitHub
- URL: https://github.com/simoneas02/data-science
- Owner: simoneas02
- Created: 2018-09-25T23:00:22.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2018-10-31T16:09:00.000Z (about 7 years ago)
- Last Synced: 2025-02-01T15:21:59.297Z (12 months ago)
- Topics: data, data-analysis, data-science, data-visualization, deep-learning, machine-learning, pandas, python3, r, sql
- Language: Jupyter Notebook
- Size: 500 KB
- Stars: 2
- Watchers: 2
- Forks: 1
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Data Science
> 🐍 A planning study to become a data scientist and to improve my current skills. 🤘🏼🌻
## Python
- [x] [1. Hello Python](/learning/python/hello-python.ipynb)
- [x] [2. Exercise: Syntax, Variables, and Numbers](/learning/python/syntax-variables-numbers.ipynb)
- [x] [3. Functions and Getting Help](/learning/python/functions.ipynb)
- [x] [4. Exercise: Functions and Getting Help](/learning/python/exercise-functions.ipynb)
- [x] [5. Booleans and Conditionals](/learning/python/booleans-and-conditionals.ipynb)
- [x] [6. Exercise: Booleans and Conditionals](/learning/python/exercise-booleans-and-conditionals.ipynb)
- [x] [7. Lists](/learning/python/lists.ipynb)
- [x] [8. Exercise: Lists](/learning/python/exercise-lists.ipynb)
- [x] [9. Loops and List Comprehensions](/learning/python/loops.ipynb)
- [x] [10. Exercise: Loops and List Comprehensions](/learning/python/exercise-loops.ipynb)
- [x] [11. Strings and Dictionaries](/learning/python/strings-and-dictionaries.ipynb)
- [x] [12. Exercise: Strings and Dictionaries](/learning/python/exercise-strings-dictionaries.ipynb)
- [x] [13. Working with External Libraries](/learning/python/working-with-external-libraries.ipynb)
- [x] [14. Exercise: Working with External Libraries](#)
## Machine Learning
- [x] 1. How Models Work
- [x] [2. Explore Your Data](/learning/marchine-learning/explore-your-data.ipynb)
- [x] [3. Exercise: Explore Your Data](/learning/marchine-learning/exercise-explore-your-data.ipynb)
- [x] [4. Your First Machine Learning Model](/learning/marchine-learning/your-first-machine-learning-model.ipynb)
- [ ] [5. Exercise: Your First Machine Learning Model](/learning/marchine-learning/exercise-your-first-machine-learning-model.ipynb)
- [ ] [6. Model Validation](#)
- [ ] [7. Exercise: Model Validation](#)
- [ ] [8. Underfitting and Overfitting](#)
- [ ] [9. Exercise: Underfitting and Overfitting](#)
- [ ] [10. Random Forests](#)
- [ ] [11. Exercise: Random Forests](#)
- [ ] [12. Exercise: Machine Learning Competitions](#)
## Pandas
- [ ] [1. Creating, reading, and writing workbook](#)
- [ ] [2. Indexing, Selecting & Assigning](#)
- [ ] [3. Summary functions and maps workbook](#)
- [ ] [4. Grouping and Sorting](#)
- [ ] [5. Data types and missing data workbook](#)
- [ ] [6. Renaming and combining workbook](#)
- [ ] [7. Method chaining workbook](#)
- [ ] [test](#)
## Data Visualisation
## SQL
## R
## Deep Learning