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

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Name		Name	Last commit message	Last commit date
Latest commit History 14 Commits
ames_housing		ames_housing
boston_housing		boston_housing
README.md		README.md

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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.

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

modeling linear-regression exploratory-data-analysis pandas pyspark boston-housing-dataset pyspark-mllib ames-housing-dataset pyspark-exper

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