Learning and building with python from scratch

Comprehensive health insurance data analysis using Python. Includes data cleaning, feature engineering, statistical testing, and preprocessing for modeling. Reveals how smoking, age, and BMI impact…

One-Hot Encoding (OHE) is a technique to convert nominal (categorical) data into a numerical format for machine learning. This project demonstrates OHE using Python, pandas, and scikit-learn, trans…

This Python notebook demonstrates how to compute the five-number summary (minimum, Q1, median, Q3, maximum), calculate the interquartile range (IQR), detect outliers, and visualize data distributio…

This project demonstrates feature engineering for imbalanced datasets in Python. It covers synthetic data generation, visualizing class imbalance, and balancing classes using upsampling and downsam…

This notebook shows how to handle imbalanced datasets using SMOTE (Synthetic Minority Over-sampling Technique). It covers data preprocessing, visualization, and applying SMOTE to balance class dist…

Feature engineering on the Titanic dataset using Python. Demonstrates handling missing values by imputing age (mean/median) and embarked (mode), and creates new features to improve data quality for…

This project analyzes Netflix’s content library using Python and Matplotlib, uncovering insights on content distribution, ratings, durations, and release trends. Through data visualizations, it hig…

This SQL project analyzes pizza sales data to reveal trends in revenue, order patterns, and category distributions. Using joins, aggregations, and ranking functions, it provides insights for data-d…

Analyzing retail transactions to uncover sales trends, customer behavior, top-selling products, peak shopping hours, and key business insights for optimization. 🚀

This Power BI HR Dashboard provides interactive insights into key workforce metrics, including headcount, attrition rates, average salary, and demographic breakdowns. Users can drill through to det…