#1.Football Player Analysis⚽ A simple Python Project that analyzes football player data using graphs includes player appearances,minutes played,goals and assists using pandas and matlplotlib.

#2.Titanic Survival Prediction🛳️ A machine learning project that predicts survival chances of passengers on the Titanic Dataset Tech Stack: Python Matplolib Seaborn #3.Loan Prediction Project💰 The goal of this project is to:

Perform data cleaning and preprocessing

Conduct exploratory data analysis (EDA)

Apply machine learning models to predict loan approval

Compare model performance and select the best approach ⚙️ Technologies Used

Python 🐍

Pandas, NumPy (data processing)

Matplotlib, Seaborn (visualizations)

Scikit-learn (machine learning models)

Jupyter Notebook for experimentation

📊 Exploratory Data Analysis (EDA)

Checked missing values and handled them appropriately

Visualized categorical & numerical variables (e.g., income, education, loan amount)

Observed trends between Credit History and Loan Status

Encoded categorical variables for model input