Personal Transactions Data Analysis and Classification

Conducted a comprehensive data analysis on a personal financial transactions dataset using Python (Pandas, Matplotlib, Plotly). Tasks included data cleaning, statistical summary (mean, median, mode, range, variance), and visualization through bar charts, scatter plots, and line graphs. Additionally, applied machine learning by training a Decision Tree Classifier (using the Iris dataset) to demonstrate model training, prediction, and evaluation using accuracy score.