Goal: Getting acquianted with the Pandas Library and dataframes
======================= Project: House Prediction Using Linear Regression
Context:
Congratulations! You have been hired on as a junior data analyst to determine house prices. Your first project is to develop a house price prediction model that takes in multiple variables to predict the price of how much a house would be. There are several options at your disposal and it would be great if you could create multiple models and display them for our stakeholders.
Acceptance Criteria:
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Utilize the provided dataset (all_perth_310121.csv) to develop 4 different models using linear regression
- Primer on linear regression: https://www.ibm.com/topics/linear-regression
- Check out scikit-learn and Numpy to handle the linear regression
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Output the graph of each model using Matplotlib on a singular chart with labels
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Use Panadas dataframes to parse out the data