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1. deep-learning-challenge deep-learning-challenge Public

   Deep learning model using TensorFlow to predict charity funding success based on structured application data. Includes full preprocessing, optimization, and evaluation steps.

   Jupyter Notebook

2. python-api-challenge python-api-challenge Public

   This project explores weather data analysis using Python, APIs, and visualization tools. Weather.py fetches real-time weather data, performs statistical analysis, and generates insightful plots. Va…

   Python

3. credit-risk-classification credit-risk-classification Public

   Binary classification model to predict high-risk loans using borrower financial data and logistic regression.

   Jupyter Notebook

4. VBA-challenge VBA-challenge Public

   This project automates stock data analysis in Excel using VBA. It calculates quarterly price changes, percentage changes, and total volume while identifying the highest gainers, losers, and most tr…

   VBA

5. Crowdfunding_ETL Crowdfunding_ETL Public

   Forked from cmaijala/Crowdfunding_ETL

   ETL pipeline mini-project: Extracted, transformed, and loaded crowdfunding data into a PostgreSQL database. Utilized Python (Pandas, NumPy) for data processing and created an ERD for database design.

   Jupyter Notebook

6. python-challenge python-challenge Public

   Developed Python scripts to analyze financial and election datasets. In PyBank, calculated total months, net total, average change, and identified profit fluctuations. In PyPoll, analyzed voter dat…

   Python