Skip to content

Commit

Permalink
Merge branch 'master' of https://github.com/khuyentran1401/Data-science
Browse files Browse the repository at this point in the history
  • Loading branch information
@khuyentran1401
khuyentran1401 committed Jul 25, 2021
2 parents d062344 + 180679d commit 0a0ebb6
Showing 1 changed file with 54 additions and 34 deletions.
88 changes: 54 additions & 34 deletions README.md
View file
Original file line number Diff line number Diff line change
Expand Up @@ -7,29 +7,32 @@ Collection of useful data science topics along with code and articles in my [dat
If you want to received updates of these blogs in your mailbox, you can subscribe to [Data Science Simplified](https://mathdatasimplified.com/).

# Contents
1. [Data](#data)
2. [Toolings](#toolings)
3. [Machine Learning](#machine-learning)
4. [Natural Language Processing](#natural-language-processing)
5. [Computer Vision](#computer-vision)
6. [Time Series](#time-series)
7. [Feature Engineering](#feature-engineering)
8. [Visualization](#visualization)
9. [Mathematical Programming](#mathematical-programming)
10. [Scraping](#scraping)
11. [Python](#python)
12. [Terminal](#terminal)
13. [Linear Algebra](#linear-algebra)
14. [Data Structure](#data-structure)
15. [Statistics](#statistics)
16. [Applications](#applications)
17. [Learning Tips](#learning-tips)
18. [Productive Tips](#productive-tips)
19. [VSCode](#vscode)
20. [Book Review](#book-review)
21. [Data Science Portfolio](#data-science-portfolio)

# Data
1. [Data Science Tools](#data-science-tools)
2. [Productive Tools](#productive-tools)
3. [Tools for Deployment](#tools-for-deployment)
4. [Speed-up Tools](#speed-up-tools)
5. [Math Tools](#math-tools)
6. [Machine Learning](#machine-learning)
7. [Natural Language Processing](#natural-language-processing)
8. [Computer Vision](#computer-vision)
9. [Time Series](#time-series)
10. [Feature Engineering](#feature-engineering)
11. [Visualization](#visualization)
12. [Mathematical Programming](#mathematical-programming)
13. [Scraping](#scraping)
14. [Python](#python)
15. [Terminal](#terminal)
16. [Linear Algebra](#linear-algebra)
17. [Data Structure](#data-structure)
18. [Statistics](#statistics)
19. [Applications](#applications)
20. [Learning Tips](#learning-tips)
21. [Productive Tips](#productive-tips)
22. [VSCode](#vscode)
23. [Book Review](#book-review)
24. [Data Science Portfolio](#data-science-portfolio)

# Data Science Tools

| Title | Medium article | Repository |
| ------------- |:-------------:| :-----:|
Expand All @@ -39,25 +42,45 @@ If you want to received updates of these blogs in your mailbox, you can subscrib
| Introduction to Datasette: Explore and Publish Your Data in One Line of Code | [link](https://towardsdatascience.com/introduction-to-datasette-explore-and-publish-your-data-in-one-line-of-code-cbdc40cb4583)
| Introduction to Datapane: A Python Library to Build Interactive Reports | [link](https://towardsdatascience.com/introduction-to-datapane-a-python-library-to-build-interactive-reports-4593fd3cb9c8) |
| Datapane’s New Features: Create a Beautiful Dashboard in Python in a Few Lines of Code | [link](https://towardsdatascience.com/datapanes-new-features-create-a-beautiful-dashboard-in-python-in-a-few-lines-of-code-a3c44523292b) | [link](https://github.com/khuyentran1401/Data-science/tree/master/data_science_tools/Datapane_new_features)
| Introduction to Hydra.cc: A Powerful Framework to Configure your Data Science Projects | [link](https://towardsdatascience.com/introduction-to-hydra-cc-a-powerful-framework-to-configure-your-data-science-projects-ed65713a53c6) |
|Pytest for Data Scientists | [link](https://towardsdatascience.com/pytest-for-data-scientists-2990319e55e6) | [link](https://github.com/khuyentran1401/Data-science/tree/master/data_science_tools/pytest)
| 4 Lessor-Known Yet Awesome Tips for Pytest | [link](https://towardsdatascience.com/4-lessor-known-yet-awesome-tips-for-pytest-2117d8a62d9c) | [link](https://github.com/khuyentran1401/Data-science/tree/master/data_science_tools/advanced_pytest)
| Introduction to Weight & Biases: Track and Visualize your Machine Learning Experiments in 3 Lines of Code | [link](https://towardsdatascience.com/introduction-to-weight-biases-track-and-visualize-your-machine-learning-experiments-in-3-lines-9c9553b0f99d) | [link](https://github.com/khuyentran1401/Data-science/tree/master/data_science_tools/wandb_tracking)


# Toolings
# Productive Tools

| Title | Medium article | Repository |
| ------------- |:-------------:| :-----:|
| How to Share your Python Objects Across Different Environments in One Line of Code | [link](https://towardsdatascience.com/how-to-share-your-python-objects-across-different-environments-in-one-line-of-code-f30a25e5f50e) | [link](https://github.com/khuyentran1401/Data-science/tree/master/data_science_tools/blob_datapane.ipynb) |
| Introduction to Hydra.cc: A Powerful Framework to Configure your Data Science Projects | [link](https://towardsdatascience.com/introduction-to-hydra-cc-a-powerful-framework-to-configure-your-data-science-projects-ed65713a53c6) |
| How to Share your Jupyter Notebook in 3 Lines of Code with Ngrok | [link](https://towardsdatascience.com/how-to-share-your-jupyter-notebook-in-3-lines-of-code-with-ngrok-bfe1495a9c0c) |
|Pytest for Data Scientists | [link](https://towardsdatascience.com/pytest-for-data-scientists-2990319e55e6) | [link](https://github.com/khuyentran1401/Data-science/tree/master/data_science_tools/pytest)
| 4 Lessor-Known Yet Awesome Tips for Pytest | [link](https://towardsdatascience.com/4-lessor-known-yet-awesome-tips-for-pytest-2117d8a62d9c) | [link](https://github.com/khuyentran1401/Data-science/tree/master/data_science_tools/advanced_pytest)
| How to Effortlessly Publish your Python Package to PyPI Using Poetry | [link](https://towardsdatascience.com/how-to-effortlessly-publish-your-python-package-to-pypi-using-poetry-44b305362f9f) | [link](https://github.com/khuyentran1401/pretty-text)
| 3 Tools to Track and Visualize the Execution of your Python Code | [link](https://towardsdatascience.com/3-tools-to-track-and-visualize-the-execution-of-your-python-code-666a153e435e) | [link](https://github.com/khuyentran1401/Data-science/tree/master/python/debug_tools)
| 2 Tools to Automatically Reload when Python Files Change | [link](https://towardsdatascience.com/2-tools-to-automatically-reload-when-python-files-change-90bb28139087) | [link](https://github.com/khuyentran1401/Data-science/tree/master/terminal/reload_examples)
| Cython-A Speed-Up Tool for your Python Function | [link](https://towardsdatascience.com/cython-a-speed-up-tool-for-your-python-function-9bab64364bfd) | [link](https://github.com/khuyentran1401/Cython) |
| How to Strip Outputs and Execute Interactive Code in a Python Script | [link](https://towardsdatascience.com/how-to-strip-outputs-and-execute-interactive-code-in-a-python-script-6d4c5da3beb0) | [link](https://github.com/khuyentran1401/Data-science/blob/master/data_science_tools/strip_interactive_example.py)
| Pydash: A Kitchen Sink of Missing Python Utilities | [link](https://towardsdatascience.com/pydash-a-bucket-of-missing-python-utilities-5d10365be4fc) | [link](https://github.com/khuyentran1401/Data-science/blob/master/python/pydash.ipynb)
| 4 pre-commit Plugins to Automate Code Reviewing and Formatting in Python | [link](https://towardsdatascience.com/4-pre-commit-plugins-to-automate-code-reviewing-and-formatting-in-python-c80c6d2e9f5) | [link](https://github.com/khuyentran1401/Data-science/tree/master/productive_tools/precommit_examples)

# Tools for Deployment

| Title | Medium article | Repository |
| ------------- |:-------------:| :-----:|
| How to Effortlessly Publish your Python Package to PyPI Using Poetry | [link](https://towardsdatascience.com/how-to-effortlessly-publish-your-python-package-to-pypi-using-poetry-44b305362f9f) | [link](https://github.com/khuyentran1401/pretty-text)
| Typer: Build Powerful CLIs in One Line of Code using Python | [link](https://towardsdatascience.com/typer-build-powerful-clis-in-one-line-of-code-using-python-321d9aef3be8) | [link](https://github.com/khuyentran1401/Data-science/tree/master/terminal/typer_examples)


# Speed-up Tools

| Title | Medium article | Repository |
| ------------- |:-------------:| :-----:|
| Cython-A Speed-Up Tool for your Python Function | [link](https://towardsdatascience.com/cython-a-speed-up-tool-for-your-python-function-9bab64364bfd) | [link](https://github.com/khuyentran1401/Cython) |
| Train your Machine Learning Model 150x Faster with cuML | [link](https://towardsdatascience.com/train-your-machine-learning-model-150x-faster-with-cuml-69d0768a047a) | [link](https://github.com/khuyentran1401/Data-science/tree/master/machine-learning/cuml)


# Math Tools

| Title | Medium article | Repository |
| ------------- |:-------------:| :-----:|
| SymPy: Symbolic Computation in Python | [link](https://towardsdatascience.com/sympy-symbolic-computation-in-python-f05f1413adb8) | [link](https://github.com/khuyentran1401/Data-science/blob/master/data_science_tools/sympy_example.ipynb)
| Pydash: A Kitchen Sink of Missing Python Utilities | [link](https://towardsdatascience.com/pydash-a-bucket-of-missing-python-utilities-5d10365be4fc) | [link](https://github.com/khuyentran1401/Data-science/blob/master/python/pydash.ipynb)
| How to Create Mathematical Animations like 3Blue1Brown Using Python |[link](https://towardsdatascience.com/how-to-create-mathematical-animations-like-3blue1brown-using-python-f571fb9da3d1) | [link](https://github.com/khuyentran1401/Data-science/tree/master/visualization/manim_exp)


# Machine Learning
Expand All @@ -69,8 +92,6 @@ If you want to received updates of these blogs in your mailbox, you can subscrib
| How to Learn Non-linear Dataset with Support Vector Machines | [link](https://towardsdatascience.com/how-to-learn-non-linear-separable-dataset-with-support-vector-machines-a7da21c6d987) | [link](https://github.com/khuyentran1401/Data-science/tree/master/machine-learning/SVM_Separate_XOR.ipynb) |
| Introduction to IBM Federated Learning: A Collaborative Approach to Train ML Models on Private Data | [link](https://towardsdatascience.com/introduction-to-ibm-federated-learning-a-collaborative-approach-to-train-ml-models-on-private-data-2b4221c3839) | [link](https://github.com/IBM/federated-learning-lib)
| 3 Steps to Improve your Efficiency when Hypertuning ML Models | [link](https://towardsdatascience.com/3-steps-to-improve-your-efficiency-when-hypertuning-ml-models-5a579d57065e)
| Train your Machine Learning Model 150x Faster with cuML | [link](https://towardsdatascience.com/train-your-machine-learning-model-150x-faster-with-cuml-69d0768a047a) | [link](https://github.com/khuyentran1401/Data-science/tree/master/machine-learning/cuml)
| Introduction to Weight & Biases: Track and Visualize your Machine Learning Experiments in 3 Lines of Code | [link](https://towardsdatascience.com/introduction-to-weight-biases-track-and-visualize-your-machine-learning-experiments-in-3-lines-9c9553b0f99d) | [link](https://github.com/khuyentran1401/Data-science/tree/master/data_science_tools/wandb_tracking)
| human-learn: Create a Human Learning Model by Drawing | [link](https://towardsdatascience.com/human-learn-create-rules-by-drawing-on-the-dataset-bcbca229f00) | [link](https://github.com/khuyentran1401/Data-science/blob/master/machine-learning/human_learn_examples/human-learn%20examples.ipynb)

# Natural Language Processing
Expand Down Expand Up @@ -122,7 +143,6 @@ If you want to received updates of these blogs in your mailbox, you can subscrib
| Introduction to Yellowbrick: A Python Library to Visualize the Prediction of your Machine Learning Model | [link](https://towardsdatascience.com/introduction-to-yellowbrick-a-python-library-to-explain-the-prediction-of-your-machine-learning-d63ecee10ecc) | [link](https://github.com/khuyentran1401/Data-science/tree/master/data_science_tools/Yellowbrick.ipynb)
| Visualize Gender-Specific Tweets with Scattertext | [link](https://medium.com/towards-artificial-intelligence/visualize-gender-specific-tweets-with-scattertext-5167e4600025) | [link](https://github.com/khuyentran1401/Data-science/tree/master/visualization/scattertext)
| Visualize Your Team’s Projects Using Python Gantt Chart | [link](https://towardsdatascience.com/visualize-your-teams-projects-using-python-gantt-chart-5a1c1c98ea35) | [link](https://github.com/khuyentran1401/Data-science/blob/master/visualization/gantt_chart/gantt_chart.ipynb)
| How to Create Mathematical Animations like 3Blue1Brown Using Python |[link](https://towardsdatascience.com/how-to-create-mathematical-animations-like-3blue1brown-using-python-f571fb9da3d1) | [link](https://github.com/khuyentran1401/Data-science/tree/master/visualization/manim_exp)
| How to Create Bindings and Conditions Between Multiple Plots Using Altair | [link](https://towardsdatascience.com/how-to-create-bindings-and-conditions-between-multiple-plots-using-altair-4e4fe907de37) | [link](https://github.com/khuyentran1401/Data-science/blob/master/visualization/altair/altair_advanced.ipynb)
| How to Sketch your Data Science Ideas With Excalidraw | [link](https://towardsdatascience.com/how-to-sketch-your-data-science-ideas-with-excalidraw-a993d049f55c) |
| Pyvis: Visualize Interactive Network Graphs in Python | [link](https://towardsdatascience.com/pyvis-visualize-interactive-network-graphs-in-python-77e059791f01) | [link](https://github.com/khuyentran1401/Data-science/blob/master/visualization/pyvis_examples/pyvis.ipynb)
Expand Down

0 comments on commit 0a0ebb6

Please sign in to comment.