I love to play with data whenever I meet a dataset or when an idea crosses my mind. I never post projects of my employer or clients, only projects I do for fun or personal purposes. I always welcome comments and challenging debates for improvement.
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In the comments, I was asked how OAuth works. I make the article with codes to help our community understand. Feel free to clone the codes from GitHub for better understanding.
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- Data Pipeline project
For fun with a business idea in the future, I am developing an automated data pipeline infrastructure.
Idea: The idea is to completely automate the pipeline for different data sources and reporting formats.
High level view of the application looks like the image below.
Soon I will share the link to the project repository for your input and contribution.
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Concern Worldwide and Wealth Hunger Life published the Global Hunger Index (GHI). It was initially published in 2006 and is released yearly in October. I played with 2021 datasets. My idea was to predict when the zero hunger target will be achieved.
Language: Python
Tools and Libraries:
- Jupyter Notebook (Kaggle)
- Pandas and NumPy for analysis
- Matplotlib and Seaborn for Visualization
- Scikit-learn for machine learning
Conclusion: ! UN will reach zero hunger index in 2051 if nothing is changed at the current pace.
The project codes and explanations are available on Kaggle. Link to Kaggle notebook
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On Kaggle I have a couple of projects on Data and Machine Learning. Check the Kaggle if interested in ML.
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