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scipy-library

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The project involves performing clustering analysis (K-Means, Hierarchical clustering, visualization post PCA) to segregate stocks based on similar characteristics or with minimum correlation. Having a diversified portfolio tends to yield higher returns and face lower risk by tempering potential losses when the market is down.

  • Updated Jan 20, 2022
  • Jupyter Notebook

Examined factors influencing demand for micro-mobility shared electric cycles Performed exploratory analysis and hypothesis testing, revealing the distinct influence of weather-season association on hourly counts

  • Updated Apr 4, 2024
  • Jupyter Notebook

Project involves performing clustering analysis (K-Means, Hierarchical clustering, visualization post PCA) to segregate stocks based on similar characteristics or with minimum correlation. Having a diversified portfolio tends to yield higher returns and faces lower risk by tempering potential losses when the market is down.

  • Updated Oct 10, 2023
  • Jupyter Notebook

"This repository hosts an implementation of the Singular Value Decomposition (SVD) algorithm tailored for data mining tasks. SVD is utilized for efficient dimensionality reduction, aiding in the extraction of key patterns and features from large and complex datasets."

  • Updated Jul 21, 2024
  • Jupyter Notebook

This project involved Data Engineering and Data Analysis where I designed the tables to hold data from 6 CSV files, imported the CSVs into a SQL database using PostgreSQL and wrote SQL queries to answer the given questions. A bonus analysis included creating some charts to analyze employee salary data.

  • Updated Jul 25, 2020
  • Jupyter Notebook

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