ninasiam / housing_data_analysis

A collection of small data science projects to predict house pricing for two different datasets

Housing data analysis

Small Data Science projects to predict house prices. The analysis is performed on:

• Boston Housing dataset.
• Ames Housing dataset.

Linear Regression on Boston Housing Dataset.

• Basic exploratory analysis for the boston housing dataset.
• Use a Linear Regression model to find the parameters and make predictions.

Regression analysis on Ames Housing Dataset.

• Exploratory data analysis.
• Use of different models to predict house prices.

The analysis was conducted for Outreachy 2021 cohort.

Built with

• Data Analysis tools: pandas.
• ML libraries: Scikit-Learn, TensorFlow.keras, Pyspark MLlib.
• Other: XgBoost.