Project: Data Processing and Machine Learning

Project: Data Processing and Machine Learning

In this project, I aimed to transform raw data into meaningful insights and make future predictions using machine learning algorithms. The project began with exploring multiple datasets. Initially, I conducted Exploratory Data Analysis (EDA) to understand the structure of the data. During this phase, I cleaned the data by handling missing and outlier values to ensure the data's reliability.

Next, I examined the relationships between different variables using visualizations. These visualizations helped me identify the most important features to use in the modeling phase. In the final stage, I built several classification and regression models, selecting the one with the highest accuracy and optimizing it further.

This process deepened my understanding of data cleaning, analysis, and modeling. Additionally, I enhanced my ability to apply various machine learning techniques and identify the most effective solution.