Python Quant Stack
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Updated
Nov 27, 2025 - Jupyter Notebook
Python Quant Stack
Working and Implementation of various Machine learning classification algorithms using realtime dataset.
Analyzing a mushroom data set to determine if a mushroom is poisonous and to showcase my Data Science skills
Kaggle Titanic dataset prediction with accuracy of around 75%
Predicting Average Starting Salary Based on College Characteristics
Analyze Zomato restaurant data all the world and find the insights by using Python libaries and also visualize the dataset by using Power-bi
A machine learning driven system for predicting employee attrition, featuring statistical analysis, Flask API integration and Dockerized deployment.
Applied Python, pandas, and scikit-learn to build a time-series sales forecasting model. Demonstrated skills in data preprocessing, feature engineering, linear regression, and data visualization.
An interactive web app for analyzing and comparing historical stock prices with dynamic visualizations. Fetches real-time stock data, provides trend analysis, and displays interactive charts like line graphs, box plots, and histograms. Features auto-refresh for live tracking and multi-stock comparisons.
An AI-based system for classifying Diabetic Retinopathy severity using GraphCNN and DenseNet121 on retinal images.
Project made for demonstation defferent data cleaning methods.
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