Muhammed Riza

• Developed an Exam Score Prediction System using Random Forest Regression and student performance
datasets.
• Performed data cleaning, preprocessing, model evaluation (MAE, R2), and predictive analytics using Python.
• Integrated the ML model into a Flask web application for real-time score prediction and deployment.

+ Learned to explore data like Data collecting, Data cleaning and Data mining.
+ Dealing with Exploratory Data Analysis (EDA) including Correlation analysis, Outlier detection and Distribution
of data.
+ Data visualization using Line plots, Bar graphs, Pie charts, Scatter plots, Histograms etc.