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‎README.md

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[<img src="img/Social media_facebook.jpg">](https://codecut.ai/?utm_source=github&utm_medium=data_science_repo&utm_campaign=github_banner)
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# Data Science
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## Data Science
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[![View on GitHub](https://img.shields.io/badge/GitHub-View_on_GitHub-blue?logo=GitHub)](https://github.com/khuyentran1401/Data-science) [![Daily Data Science Tips](https://img.shields.io/badge/CodeCut-View%20Website-green?logo=wordpress)](https://codecut.ai/?utm_source=github&utm_medium=data_science_repo&utm_campaign=github_badge) [![View on YouTube](https://img.shields.io/badge/YouTube-Watch%20on%20Youtube-red?logo=youtube)](https://www.youtube.com/channel/UCNMawpMow-lW5d2svGhOEbw)
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git clone https://github.com/khuyentran1401/Data-science
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```
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# Contents
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## Contents
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1. [MLOps](#mlops)
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1. [Data Management Tools](#data-management-tools)
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1. [Testing](#testing)
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1. [Book Review](#book-review)
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1. [Data Science Portfolio](#data-science-portfolio)
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# MLOps
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## MLOps
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| Title | Article | Repository | Video
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| ------------- |:-------------:| :-----:| :-----:|
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| Automate Machine Learning Deployment with GitHub Actions | [🔗](https://codecut.ai/automate-machine-learning-deployment-with-github-actions-2/?utm_source=github&utm_medium=data_science_repo&utm_campaign=blog) | [🔗](https://github.com/khuyentran1401/cicd-mlops-demo) | [🔗](https://youtu.be/728M0yhI0_M)
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| How to Build a Fully Automated Data Drift Detection Pipeline | [🔗](https://codecut.ai/build-a-fully-automated-data-drift-detection-pipeline/?utm_source=github&utm_medium=data_science_repo&utm_campaign=blog) | [🔗](https://github.com/khuyentran1401/detect-data-drift-pipeline) | [🔗](https://youtu.be/4w2ly3WuL40)
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# Data Management Tools
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## Data Management Tools
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| Title | Article | Repository | Video
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| ------------- |:-------------:| :-----:| :-----:|
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|Introduction to DVC: Data Version Control Tool for Machine Learning Projects | [🔗](https://codecut.ai/introduction-to-dvc-data-version-control-tool-for-machine-learning-projects-2/?utm_source=github&utm_medium=data_science_repo&utm_campaign=blog) | [🔗](https://github.com/khuyentran1401/Machine-learning-pipeline) | [🔗](https://youtu.be/80s_dbfiqLM)
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| What is dbt (data build tool) and When should you use it? | [🔗](https://codecut.ai/build-an-efficient-data-pipeline-is-dbt-the-key/?utm_source=github&utm_medium=data_science_repo&utm_campaign=blog) | [🔗](https://github.com/khuyentran1401/dbt-demo)| [🔗](https://youtu.be/mM5zWBP3G_U)
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| Streamline dbt Model Development with Notebook-Style Workspace | [🔗](https://codecut.ai/dbt-mage-interactively-build-and-orchestrate-data-models/?utm_source=github&utm_medium=data_science_repo&utm_campaign=blog) | [🔗](https://github.com/khuyentran1401/dbt-mage) | [🔗](https://youtu.be/vQFg1Mp60-s)
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# Testing
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## Testing
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| Title | Article | Repository | Video
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| ------------- |:-------------:| :-----:| :-----:|
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| Detect Defects in a Data Pipeline Early with Validation and Notifications | [🔗](https://towardsdatascience.com/detect-defects-in-a-data-pipeline-early-with-validation-and-notifications-83e9b652e65a) | [🔗](https://github.com/khuyentran1401/prefect2-mlops-demo/tree/deepchecks) | [🔗](https://youtu.be/HdPViOX8Uf8)
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| Write Readable Tests for Your Machine Learning Models with Behave | [🔗](https://towardsdatascience.com/write-readable-tests-for-your-machine-learning-models-with-behave-ec4a27b91490) | [🔗](https://github.com/khuyentran1401/Data-science/tree/master/data_science_tools/behave_examples) | [🔗](https://youtu.be/gUttUxyNbIA)
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# Productive Tools
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## Productive Tools
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| Title | Article | Repository |
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| Simplify Data Science Workflows on BigQuery with Fugue and Python | [🔗](https://towardsdatascience.com/simplify-data-science-workflows-on-bigquery-with-fugue-and-python-5215a1b65e43) | [🔗](https://github.com/khuyentran1401/Data-science/blob/master/data_science_tools/fugue_bigquery.ipynb)
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# Tools for Deployment
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## Tools for Deployment
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| Title | Article | Repository |
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| ------------- |:-------------:| :-----:|
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| How to Effortlessly Publish your Python Package to PyPI Using Poetry | [🔗](https://towardsdatascience.com/how-to-effortlessly-publish-your-python-package-to-pypi-using-poetry-44b305362f9f) | [🔗](https://github.com/khuyentran1401/pretty-text)
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| Typer: Build Powerful CLIs in One Line of Code using Python | [🔗](https://towardsdatascience.com/typer-build-powerful-clis-in-one-line-of-code-using-python-321d9aef3be8) | [🔗](https://github.com/khuyentran1401/Data-science/tree/master/terminal/typer_examples)
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# Speed-up Tools
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## Speed-up Tools
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| ------------- |:-------------:| :-----:|
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| Cython-A Speed-Up Tool for your Python Function | [🔗](https://towardsdatascience.com/cython-a-speed-up-tool-for-your-python-function-9bab64364bfd) | [🔗](https://github.com/khuyentran1401/Cython) |
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| Train your Machine Learning Model 150x Faster with cuML | [🔗](https://towardsdatascience.com/train-your-machine-learning-model-150x-faster-with-cuml-69d0768a047a) | [🔗](https://github.com/khuyentran1401/Data-science/tree/master/machine-learning/cuml)
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# Math Tools
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## Math Tools
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| Title | Article | Repository |
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| SymPy: Symbolic Computation in Python | [🔗](https://towardsdatascience.com/sympy-symbolic-computation-in-python-f05f1413adb8) | [🔗](https://github.com/khuyentran1401/Data-science/blob/master/data_science_tools/sympy_example.ipynb)
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# Machine Learning
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## Machine Learning
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| River: Online Machine Learning in Python | [🔗](https://towardsdatascience.com/river-online-machine-learning-in-python-d0f048120e46) | [🔗](https://github.com/khuyentran1401/Data-science/blob/master/machine-learning/river_streaming/streaming.ipynb) | [🔗](https://youtu.be/2PRqU_uC1hk)
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| Human-Learn: Rule-Based Learning as an Alternative to Machine Learning | [🔗](https://towardsdatascience.com/human-learn-rule-based-learning-as-an-alternative-to-machine-learning-baf1899ecb3a) | [🔗](https://github.com/khuyentran1401/Data-science/blob/master/machine-learning/human_learn_examples/rule_based_model.ipynb) | [🔗](https://youtu.be/JF-bC6JYJsw)
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# Natural Language Processing
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## Natural Language Processing
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| PRegEx: Write Human-Readable Regular Expressions in Python | [🔗](https://codecut.ai/pregex-write-human-readable-regular-expressions-in-python-2/?utm_source=github&utm_medium=data_science_repo&utm_campaign=blog) | [🔗](https://github.com/khuyentran1401/Data-science/blob/master/productive_tools/pregex.ipynb) | [🔗](https://youtu.be/bihAyp84NhE)
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| Texthero: Text Preprocessing, Representation, and Visualization for a pandas DataFrame | [🔗](https://towardsdatascience.com/texthero-text-preprocessing-representation-and-visualization-for-a-pandas-dataframe-525405af16b6) | [🔗](https://github.com/khuyentran1401/Data-science/tree/master/nlp/texthero)
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# Computer Vision
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## Computer Vision
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| How to Create an App to Classify Dogs Using fastai and Streamlit | [🔗](https://towardsdatascience.com/how-to-create-an-app-to-classify-dogs-using-fastai-and-streamlit-af3e75f0ee28) | [🔗](https://github.com/khuyentran1401/dog_classifier)
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# Time Series
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## Time Series
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| Kats: a Generalizable Framework to Analyze Time Series Data in Python | [🔗](https://towardsdatascience.com/kats-a-generalizable-framework-to-analyze-time-series-data-in-python-3c8d21efe057) | [🔗](https://github.com/khuyentran1401/Data-science/blob/master/time_series/kats_examples/kats.ipynb)
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| How to Detect Seasonality, Outliers, and Changepoints in Your Time Series | [🔗](https://towardsdatascience.com/how-to-detect-seasonality-outliers-and-changepoints-in-your-time-series-5d0901498cff) | [🔗](https://github.com/khuyentran1401/Data-science/blob/master/time_series/google_analytics/google-analytics-analysis.ipynb)
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| 4 Tools to Automatically Extract Data from Datetime in Python | [🔗](https://towardsdatascience.com/4-tools-to-automatically-extract-data-from-datetime-in-python-9ecf44943f89) | [🔗](https://github.com/khuyentran1401/Data-science/blob/master/time_series/extract_date_features.ipynb)
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# Feature Engineering
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## Feature Engineering
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| Snorkel — A Human-In-The-Loop Platform to Build Training Data | [🔗](https://towardsdatascience.com/snorkel-programmatically-build-training-data-in-python-712fc39649fe) | [🔗](https://github.com/khuyentran1401/Data-science/tree/master/feature_engineering/snorkel_example) | [🔗](https://youtu.be/Prr53wXiHfM)
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# Visualization
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## Visualization
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| statsannotations: Add Statistical Significance Annotations on Seaborn Plots | [🔗](https://towardsdatascience.com/statsannotations-add-statistical-significance-annotations-on-seaborn-plots-6b753346a42a) | [🔗](https://github.com/khuyentran1401/Data-science/blob/master/visualization/statsannotation_example.ipynb) | [🔗](https://youtu.be/z26I6jsdIno)
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# Mathematical Programming
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## Mathematical Programming
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| How to Schedule Flights in Python | [🔗](https://towardsdatascience.com/how-to-schedule-flights-in-python-3357b200db9e) | [🔗](https://github.com/khuyentran1401/Data-science/blob/master/mathematical_programming/schedule_flight_crew/flight_crew_schedule.ipynb)
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| How to Solve a Production Planning and Inventory Problem in Python | [🔗](https://towardsdatascience.com/how-to-solve-a-production-planning-and-inventory-problem-in-python-45c546f4bcf0) | [🔗](https://github.com/khuyentran1401/Data-science/blob/master/mathematical_programming/production_and_inventory.ipynb)
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# Scraping
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## Scraping
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| Simplify Your Functions with Functools’ Partial and Singledispatch | [🔗](https://towardsdatascience.com/simplify-your-functions-with-functools-partial-and-singledispatch-b7071f7543bb) | [🔗](https://github.com/khuyentran1401/Data-science/blob/master/python/functools%20example.ipynb)
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# Logging and Debugging
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## Logging and Debugging
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| Python and Data Science Snippets on the Command Line | [🔗](https://towardsdatascience.com/python-and-data-science-snippets-on-the-command-line-2673d5d9e55d) | [🔗](https://github.com/khuyentran1401/Data-science/tree/master/applications/python_snippet_tutorial)
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# Statistics
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## Statistics
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| Bayesian Linear Regression with Bambi | [🔗](https://towardsdatascience.com/bayesian-linear-regression-with-bambi-a5e6570f167b) | [🔗](https://github.com/khuyentran1401/Data-science/blob/master/statistics/bayes_linear_regression/linear_regression.ipynb)
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| Earn More Salary as a Coder — Higher Degree or More Years of Experience? | [🔗](https://towardsdatascience.com/earn-more-salary-as-a-coder-higher-degree-or-more-years-of-experience-68c13f73a557) | [🔗](https://github.com/khuyentran1401/Data-science/blob/master/statistics/stackoverflow_survey/analyze_salary.ipynb)
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## Linear Algebra
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| How to Build a Matrix Module from Scratch | [🔗](https://towardsdatascience.com/how-to-build-a-matrix-module-from-scratch-a4f35ec28b56) | [🔗](https://github.com/khuyentran1401/Numerical-Optimization-Machine-learning/tree/master/matrix) |
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| Linear Algebra for Machine Learning: Solve a System of Linear Equations | [🔗](https://towardsdatascience.com/linear-algebra-for-machine-learning-solve-a-system-of-linear-equations-3ec7e882e10f) | [🔗](https://github.com/khuyentran1401/Numerical-Optimization-Machine-learning/blob/master/Backward%20substitution%20and%20Gaussian%20Elimiation.ipynb) |
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## Data Structure
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| How to Find the Nearest Hospital with a Voronoi Diagram | [🔗](https://towardsdatascience.com/how-to-find-the-nearest-hospital-with-voronoi-diagram-63bd6d0b7b75) | [🔗](https://github.com/khuyentran1401/Voronoi-diagram/)
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# Web Applications
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## Web Applications
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| Create an App to Deal with Boredom Using PyWebIO | [🔗](https://towardsdatascience.com/create-an-app-to-deal-with-boredom-using-pywebio-d17f3acd1613) | [🔗](https://build.pyweb.io/get/khuyentran1401/bored_app)
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| Build a Robust Workflow to Visualize Trending GitHub Repositories in Python | [🔗](https://towardsdatascience.com/build-a-robust-workflow-to-visualize-trending-github-repositories-in-python-98f2fc3e9a86) | [🔗](https://github.com/khuyentran1401/analyze_github_feed)
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## Share Insights
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| How to Share your Jupyter Notebook in 3 Lines of Code with Ngrok | [🔗](https://towardsdatascience.com/how-to-share-your-jupyter-notebook-in-3-lines-of-code-with-ngrok-bfe1495a9c0c) |
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| Introduction to Deepnote: Real-time Collaboration on Jupyter Notebook | [🔗](https://pub.towardsai.net/introduction-to-deepnote-real-time-collaboration-on-jupyter-notebook-18509c95d62f)
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## Cool Tools
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| Simulate Real-life Events in Python Using SimPy | [🔗](https://towardsdatascience.com/simulate-real-life-events-in-python-using-simpy-e6d9152a102f) | [🔗](https://github.com/khuyentran1401/Data-science/tree/master/applications/simpy_examples)
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| How to Create Mathematical Animations like 3Blue1Brown Using Python |[🔗](https://towardsdatascience.com/how-to-create-mathematical-animations-like-3blue1brown-using-python-f571fb9da3d1) | [🔗](https://github.com/khuyentran1401/Data-science/tree/master/visualization/manim_exp)
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# Learning Tips
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## Learning Tips
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| To become a Better Data Scientist, you need to Think like a Programmer | [🔗](https://towardsdatascience.com/to-become-a-better-data-scientist-you-need-to-think-like-a-programmer-18d0a00994dc) |
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| How not to be Overwhelmed with Data Science | [🔗](https://towardsdatascience.com/how-not-to-be-overwhelmed-with-data-science-5a95ff1618f8)
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## Productive Tips
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| 7 Reasons Why you Should Start Documenting your Code | [🔗](https://towardsdatascience.com/7-reasons-why-you-should-start-documenting-your-code-48c2096de6a7)
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# VSCode
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## VSCode
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| Top 9 Keyboard Shortcuts in VSCode for Data Scientists | [🔗](https://towardsdatascience.com/top-9-keyboard-shortcuts-in-vscode-for-data-scientists-468691b65ebe) |
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## Book Review
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| Python Machine Learning: A Comprehensive Handbook for Machine Learning | [🔗](https://medium.com/analytics-vidhya/python-machine-learning-a-comprehensive-handbook-for-machine-learning-63f024c898d0) |
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‎data_science_tools/polars_vs_pandas.py

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@app.cell
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@app.cell(hide_code=True)
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def _(mo):
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mo.md(r"""## 1. Reading Data Faster""")

‎nlp/linkedin_analysis/README.md

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# Sentiment Analysis of LinkedIn Messages
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## Sentiment Analysis of LinkedIn Messages
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<center><img src="https://github.com/khuyentran1401/Data-science/blob/master/img/linkedin_connection.png?raw=true"</center>
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