In this project, we used data from the European Central Bank to analyze and visualize the exchange rate between the euro and the US dollar from 1999 to 2021.
In this project, we used a dataset collected from surveys of Star Wars fans. It includes columns with responses to questions about the Star Wars movies.
In this project, we analyzed data from a sales records database in SQLite for scale model products and gained insights by answering three key questions.
In this project, we used PostgreSQL with the Northwind database to explore and analyze sales data, provide key insights, and support strategic decisions.
In this project, we collected necessary data on NBA statistics to predict the recipient of the Most Valuable Player (MVP) award for a given NBA season.
In this project, we conducted trend analysis and comparative studies on financial data. Finally, we created visualizations to present our findings effectively.
In this project, we built a spam filter for SMS messages using the Multinomial Naive Bayes algorithm on a dataset of 5,572 manually labeled SMS messages.
In this project, we segmented credit card company customers into groups using K-means to assign each client to a group and apply targeted business strategies.
In this project, we built predictive models for medical insurance costs based on various demographic and personal characteristics of patients.
In this project, we predicted employee productivity using decision tree and random forest. This is highly valuable for decision-makers in the garment industry.
In this project, we used data on past Indian IPOs from Moneycontrol to develop deep learning classification models for predicting listing gains.