A Statistical Analysis & Machine Learning Workflow of House-Pricing
This kernel is going to solve House Pricing with Advanced Regression Analysis, a popular machine learning dataset for beginners. I am going to share how I work with a dataset step by step from data preparation and data analysis to statistical tests and implementing machine learning models. I will also describe the model results along with many other tips. Let's get started.
If there are any recommendations/changes you would like to see in this notebook, please leave a comment at the end of this video. Any feedback/constructive criticism would be genuinely appreciated. If you like this notebook or find this notebook helpful, Please feel free to like share and subscribe and/or leave a comment.
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Complete written explanation:
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Link to the source code:
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This kernel hopes to accomplish many goals, to name a few...
Learn/review/explain complex data science topics through write-ups.
Do a comprehensive data analysis along with visualizations.
Create models that are well equipped to predict better sale price of the houses.
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