🛰️ Python analysis of the ionosphere's VTEC response to the historic G5 geomagnetic storm of May 2024.
BBC news dataset pipeline : data collection, cleaning, and topic modelling with LDA/DTM
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
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.
Using ML to create a model which would predict/recognize the english alphabet from our own dataset.
Dashboard app for Spotify Stats - private alternative for https://www.statsforspotify.com/
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.
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
Processed and analyzed raw Google Play Store review data, utilizing Pandas for data cleaning, handling missing values, and standardizing formats. Employed Seaborn and Matplotlib to create visualizations showing trends in user ratings, review , and app . Developed interactive Power BI dashboards Conducted sentiment analysis.
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