Interactive Python app for graphing functions and exploring their derivatives and integrals, with built-in analysis tools.
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Updated
Jun 8, 2025 - Python
Interactive Python app for graphing functions and exploring their derivatives and integrals, with built-in analysis tools.
Classification data and using ANN model
HR, ESG & Finance Analytics Dashboard – headcount, salaries, attrition, and trends (synthetic 2024 data). Built with Power BI and Python.
End-to-end Sales Revenue Optimization project using SQL (MySQL), Python (Pandas + Matplotlib), and Power BI. Includes data cleaning, KPI generation, EDA, and an interactive business dashboard for retail performance analysis.
“Petshop platform with vet services, interactive React frontend, and Python data analysis for sales and pet records.”
A multivariate machine learning framework for predicting student stress levels with 90%+ accuracy.
Python web scraping project using YouTube API to analyze popular data science educators, comparing their channel performance and video content patterns.
Developed a machine learning model to predict Uber ride prices. Evaluated multiple regression models, including Linear Regression, Ridge, Lasso, ElasticNet, and Random Forest. Conducted comparative analysis to optimize model selection for accuracy and interpretability. Identified key pricing determinants such as distance and time-of-day effects
Business case study - Data Science and machine learning
Path planning visualizer. A* & BFS on randomized grids, step-by-step GIF export.
Heuristic Battleship solver using probability density mapping to determine optimal firing sequences
Statistical analysis of bike rental demand in Python (pandas, matplotlib, seaborn) examining time-of-day and weather drivers
Perform EDA on Olympics data based countries, athletes, medals won, etc. and deployed on a website using Streamlit
Proyecto del curso Algebra Lineal - UTADEO
Four Python Projects. Python Data Analysis Libraries were used
Ce mini-projet illustre comment utiliser Pandas pour charger, manipuler et analyser des données, ainsi que Matplotlib pour créer des visualisations pertinentes permettant de mieux comprendre les tendances et les motifs présents dans les ventes mensuelles d'une entreprise.
Deep learning system to detect stop signs and traffic lights using Keras' image recognition capabilities
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