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Hello Python](/learning/python/hello-python.ipynb)\n- [x] [2. Exercise: Syntax, Variables, and Numbers](/learning/python/syntax-variables-numbers.ipynb)\n- [x] [3. Functions and Getting Help](/learning/python/functions.ipynb)\n- [x] [4. Exercise: Functions and Getting Help](/learning/python/exercise-functions.ipynb)\n- [x] [5. Booleans and Conditionals](/learning/python/booleans-and-conditionals.ipynb)\n- [x] [6. Exercise: Booleans and Conditionals](/learning/python/exercise-booleans-and-conditionals.ipynb)\n- [x] [7. Lists](/learning/python/lists.ipynb)\n- [x] [8. Exercise: Lists](/learning/python/exercise-lists.ipynb)\n- [x] [9. Loops and List Comprehensions](/learning/python/loops.ipynb)\n- [x] [10. Exercise: Loops and List Comprehensions](/learning/python/exercise-loops.ipynb)\n- [x] [11. Strings and Dictionaries](/learning/python/strings-and-dictionaries.ipynb)\n- [x] [12. Exercise: Strings and Dictionaries](/learning/python/exercise-strings-dictionaries.ipynb)\n- [x] [13. Working with External Libraries](/learning/python/working-with-external-libraries.ipynb)\n- [x] [14. Exercise: Working with External Libraries](#)\n\n## Machine Learning\n- [x] 1. How Models Work\n- [x] [2. Explore Your Data](/learning/marchine-learning/explore-your-data.ipynb)\n- [x] [3. Exercise: Explore Your Data](/learning/marchine-learning/exercise-explore-your-data.ipynb)\n- [x] [4. Your First Machine Learning Model](/learning/marchine-learning/your-first-machine-learning-model.ipynb)\n- [ ] [5. Exercise: Your First Machine Learning Model](/learning/marchine-learning/exercise-your-first-machine-learning-model.ipynb)\n- [ ] [6. Model Validation](#)\n- [ ] [7. Exercise: Model Validation](#)\n- [ ] [8. Underfitting and Overfitting](#)\n- [ ] [9. Exercise: Underfitting and Overfitting](#)\n- [ ] [10. Random Forests](#)\n- [ ] [11. Exercise: Random Forests](#)\n- [ ] [12. Exercise: Machine Learning Competitions](#)\n\n## Pandas\n- [ ] [1. Creating, reading, and writing workbook](#)\n- [ ] [2. Indexing, Selecting \u0026 Assigning](#)\n- [ ] [3. Summary functions and maps workbook](#)\n- [ ] [4. Grouping and Sorting](#)\n- [ ] [5. Data types and missing data workbook](#)\n- [ ] [6. Renaming and combining workbook](#)\n- [ ] [7. Method chaining workbook](#)\n- [ ] [test](#)\n\n## Data Visualisation\n## SQL\n## R\n## Deep Learning\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsimoneas02%2Fdata-science","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsimoneas02%2Fdata-science","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsimoneas02%2Fdata-science/lists"}