An EDA of Boston Crimes Data-set

Analysis conducted using Excel and SQL to uncover metrics pertaining to Tantalizing Textile's Market Representation based on each unique customer's most recent purchase, resulting in insights being presented in Tableau

A shiny application that visualizes the difference in lifestyles of young people who have different internet usage, based on a survey completed by 1010 Slovakians aged 15 to 30 in 2013

Using ML to create a model which would predict/recognize the english alphabet from our own dataset.

This dataset report of the number of forest fires in Brazil divided by states. The series comprises the period of approximately 10 years (1998 to 2017). The data were obtained from the official website of the Brazilian government.

This project applies machine learning techniques to classify Iris flower species based on sepal and petal measurements. It explores multiple classification algorithms, including Random Forest, SVM, Naive Bayes, KNN, and XGBoost. The project incorporates data preprocessing, hyperparameter tuning, cross-validation to optimize the models' performance.