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House_Price_prediction - dataset link - https://colab.research.google.com/corgiredirector?site=https%3A%2F%2Fwww.kaggle.com%2Fdatasets%2Fmuhammadbinimran%2Fhousing-price-prediction-data%2Fdata
Explore the fascinating world of housing price prediction with this synthetic dataset. Perfect for data science enthusiasts, machine learning practitioners, and Kaggle learners, this dataset offers a diverse collection of features, including square footage, bedrooms, bathrooms, neighborhood types, and the year of construction. Immerse yourself in the challenge of predicting house prices and enhance your skills in regression analysis.
Models used here are - Linear Regreesion , ElasticNet , Support Vector Regressor , Decison Tree Regressor , Random Forest Regressor , Gradient Boosting Regressor ,Ada Boost Regressor , XG Boost Regressor , K Neighbors Regressor.
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