https://github.com/parthds02/machine-learning-foundations-for-product-managers-project

Machine learning project predicting the energy output of a power plant using environmental data (temperature, pressure, humidity, vacuum). Linear Regression and Random Forest models were compared, with Random Forest achieving better accuracy. Key steps include data exploration, model building, cross-validation, and performance evaluation.

ai ai-management data-science database energy jupyter-notebook machine-learning powerpoint-presentations random-forest

Last synced: 03 Feb 2026

https://github.com/parthds02/trial-error

Last synced: 17 Mar 2026

https://github.com/parthds02/parthds02

Last synced: 12 Jan 2026

https://github.com/parthds02/pizza_sales_sql

SQL project analyzing pizza sales data. Includes creating tables, executing queries, and solving basic to advanced analytical questions to derive insights from sales data.

analytics data-analysis data-science pizza-sales sql sql-query

Last synced: 04 Mar 2026

https://github.com/parthds02/mall-customer-segmentation-using-k-means-clustering

Analyzing customer behavior using Unsupervised Learning to segment shoppers based on Annual Income, Spending Score & Age. Insights help businesses optimize marketing & retention strategies.

datascience datavisualization eda googlecolab kmeansclustering machinelearning-python marketinganalytics retailanalysis

Last synced: 12 Apr 2026

https://github.com/parthds02/e-commerce-data-analysis-with-python

This project focuses on analyzing an e-commerce dataset using Python. The goal is to derive meaningful insights through exploratory data analysis (EDA) and uncover trends and patterns that can drive business decisions.

data-analysis ecommerce exploratory-data-analysis jupyter-notebook pytho sales-analysis visualization

Last synced: 13 Jun 2025

https://github.com/parthds02/rain-prediction-in-australia-implementing-and-evaluating-multiple-classification-models

This project focuses on predicting rainfall in Australia using various classification models. It involves exploring and preprocessing the dataset, training multiple machine learning models, and evaluating their performance. The goal is to identify the best model for accurate rain prediction.

classification-models coursera data-science jupyter-notebook machine-learning-algorithms model-evaluation python rainfall-prediction

Last synced: 29 Apr 2026

https://github.com/parthds02/customer-churn-prediction-with-streamlit

Customer churn prediction is a vital tool for businesses to identify customers likely to leave their service. In this project, I build a machine learning pipeline to predict customer churn, integrating data analysis, feature engineering, modeling, and Demonstrate as a Streamlit web application.

churn-analysis churn-prediction decision-trees eda knn logistic-regression machine-learning random-forest streamlit support-vector-classifier vscode

Last synced: 05 May 2026

https://github.com/parthds02/analyzing-student-success-with-data

Discover key factors influencing student performance through data analysis and visualization. Explore gender, parental education, sports, and ethnicity impacts.

data datascience jupyter-notebook kaggle python pythonlibraries

Last synced: 06 May 2026

https://github.com/parthds02/customer-segmentation-with-kmeans-clustering

Analyze customer behavior using Python and KMeans Clustering on transactional data. Features RFM analysis, data cleaning, clustering insights, and actionable visualizations to support business decision-making.

data-analysis data-visualization feature-engineering kmeans-clustering numpy pandas vscode

Last synced: 11 May 2026

https://github.com/parthds02/-daily-calorie-count-meal-plan-generator-

Welcome to the Daily Calorie Count Meal Plan Generator project! This Streamlit web application is designed to create personalized meal plans based on user inputs such as age, weight, gender, and calorie goals. It also allows users to download their customized meal plans as PDFs.

calories-tracker data-analysis data-science pdf-generation streamlit vscode

Last synced: 13 May 2026

https://github.com/parthds02/library-system-management-sql

Library Management System built using PostgreSQL in pgAdmin 4. The system manages book issuing, returns, and tracking with detailed records of books, members, employees, branches, and transactions. It supports CRUD operations on books and members, and helps streamline library workflows efficiently.

data-modeling database database-management library-management-system library-systems pgadmin4 postgresql sql

Last synced: 14 May 2026

https://github.com/parthds02/airbnb-listings-eda-project-new-york-2024

This project analyzes Airbnb listing data to uncover trends in pricing, reviews, and availability. Using Python, it explores correlations between variables such as price, room type, and location. Visualizations and statistical insights help hosts optimize listings for better performance in competitive markets like New York.

airbnb data-science dataanalysis-projects newyork panadas python vscode

Last synced: 13 May 2026