A machine learning project to predict genetic disorders based on patient data and genetic features. The notebook includes data preprocessing, exploratory analysis, model training, and evaluation using various ML algorithms.
Tech Stack: 1.Python, Jupyter Notebook 2.Pandas, NumPy 3.Matplotlib, Seaborn 4.Scikit-learn
Features: 1.Data cleaning & preprocessing 2.Exploratory Data Analysis (EDA) 3.Machine learning classification models 4.Model evaluation (accuracy, precision, recall)