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.

"Simulations for the paper 'A Review Article On Gradient Descent Optimization Algorithms' by Sebastian Roeder"

¡Bienvenido al repositorio de proyectos de análisis estadístico con Python! Este repositorio contiene una serie de proyectos prácticos que cubren diversos aspectos del análisis estadístico utilizando el lenguaje de programación Python.

Used Python 3.9, used packageUsed NASA’s MAST Archive for Space Telescopes data to provide the AI with accurate results to determine if the planet is an exoplanet.

This project analyzes marketing campaign data using Python (pandas, matplotlib, seaborn, plotly) and MySQL to uncover customer behavior and optimize sales funnels. Key insights are visualized interactively and summarized in a final presentation.

Email Spam Detector - Machine Learning Model (Dockerized) that classifies messages as spam or not spam using a trained Naive Bayes model. The model is built using scikit-learn and is packaged inside a Docker container for easy deployment and usage.

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

"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."

Learn Python Programming

"This repository contains an implementation of the Principal Component Analysis (PCA) algorithm, which is one of the key techniques used for dimensionality reduction in data mining and machine learning."

Matplotlib is a comprehensive 2D plotting library for the Python programming language.

KCL and KVL for the bridge circuit

Simulations for the paper "Inter node Hellinger Distance based Decision Tree by Pritom Saha Akash, Md. Eusha Kadir, Amin Ahsan Ali, Mohammad Shoyaib"

Preapare a travel app. Add weather information and filter available data to identify potential travel destinations and nearby hotels

Inspired by astronaut Rick Husband, this project is a Python-based simulation of the Columbia Space Shuttle's journey to orbit.

Analyzing NIFTY 50 stocks using Equal Weighting, Value Investing, and Dividend Scoring strategies.

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.

KCL and KVL for the bridge circuit

SciPy (Scientific Python) is a collection of mathematical algorithms and convenience functions built on NumPy. It provides advanced capabilities for optimization, linear algebra, integration, interpolation, and other domains.

Using Python for data analyses of the online grocery shop Instacart to uncover sales patterns and reveal customer profiles.