Menna T.

Data Cleaning:

I process and refine data to enhance its accuracy and clarity, removing any missing or outlier values that could impact model performance.

Exploratory Data Analysis (EDA):

I use data analysis and visualization techniques to uncover patterns and trends, helping to gain deeper insights and make informed decisions.

Machine Learning Model Implementation:

I apply various machine learning models, including:

Linear Regression: for analyzing relationships between variables and making predictions.

Clustering: to identify hidden patterns and group similar data points.

Decision Trees: for structured decision-making based on data features.

Other classification algorithms: such as SVM, KNN, and Naïve Bayes for accurate data classification and pattern recognition.

Data Visualization:

I create interactive and insightful visualizations using various tools and techniques to make data easier to understand and interpret, facilitating better decision-making.

If you need to analyze your data and extract valuable insights, I’d be happy to help!