I built a House Price Prediction model using Python to estimate property prices based on different features like area, number of rooms, and location. I performed data cleaning, exploratory data analysis (EDA), feature selection, and trained a machine learning model to make accurate predictions. The project helped identify key factors affecting house prices.
1
16
I analyzed the Titanic dataset using Python by cleaning data, handling missing values, and performing exploratory data analysis (EDA). I visualized key patterns and found insights such as higher survival rates for females and first-class passengers. Tools used: Python, Pandas, NumPy, Matplotlib, Seaborn.