A data-driven analysis of movie success factors, including genre popularity, production company performance, language trends, and financial success. This project explores influences on a movie’s ratings, popularity, and revenue through feature engineering, data preprocessing, and visualizations.
Our project aims to bring together teachers and students and provide a platform for better connectivity.
Python-based ETL pipeline that automates data transfer from Google Sheets to PostgreSQL.
Analysis of Swiggy's food delivery data across Indian cities, examining restaurant metrics, cuisines, and customer preferences.
The project utilizes Social Network Analysis (SNA) to comprehensively analyze global air travel dynamics and assess India's position in the aviation market.
🙋Completed all the assignments based on SQL, EXCEL, PYTHON, EDA, MACHINE_LEARNING, LINEAR REGRESSION,
This project aims to develop a deep learning-based system for classifying diatom images, which can be used for water quality monitoring. Dataset sourced from KAGGLE (URL provided below.)
Predicting discounted prices of the listed products from Amazon & Flipkart based on their ratings, reviews and actual prices using models like Random Forest Regressor, KNN Regressor, etc.
Python implementation of K-Means clustering data science algorithm
This repository is a curated blend of Python practice files, SQL assignments, and essential learning resources. It features hands-on tutorials using libraries like Pandas, NumPy, Matplotlib, and Seaborn, along with foundational DSA code and eBooks to support structured learning.
An in-depth analysis of a movie rental store using SQL & Python to uncover trends in customer behavior, rental patterns, and revenue insights. Features data cleaning, EDA, SQL queries, and visualizations for data-driven decision-making. 🚀
A machine learning model to predict whether clients of a Portuguese banking institution will subscribe to a term deposit, based on data from direct marketing campaigns involving phone calls.
Repositorio para el trabajo práctico final de Introducción a Ciencia de Datos - Lic. Ciencia de Datos - Universidad de San Martín.
The Power BI project on the terrorism dataset offers an interactive and visually engaging data analysis solution. It utilizes charts, graphs, and maps to explore global terrorism incidents, providing insights into patterns, trends, and hotspots.
This project has all the solutions for weekly Tableau prep challenges from https://preppindata.blogspot.com/.
Operation & Metric Analysis
Analysis of sale price per square foot, gross rent, and available housing units for various neighborhoods in San Francisco.
This repository contains all the sorted data and python scripts used to perform statistical analysis on this data for my Global Health and Diseases research on Biofilms
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