In this project, I am glad to show you how to understand data and apply it to the Machine Learning model. Also, I'll show how to visualize Latitude and Longitude on a map, how to deal with categorical data and deal with distributions in numerical data. Then, I'll demonstrate how to work and test 7 ML models at a time and choose the best one. I hope you enjoy it! Finally we can see the results and their accuracy is 84%.
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First look at the DATA and simple EDA
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Data Cleaning
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Data Visualization(heatmap, histograms)
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Visualizing Geographical Data (Visualizing how the price increase and decrease by location)
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Creating new features based on the DATA. Experimenting with Attribute Combinations
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Handling categorical and numerical data(creating preprocessor)
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Models building and choosing the best model
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Model Tuning
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Results
DATA - https://www.kaggle.com/datasets/syuzai/perth-house-prices