Hello there, this is week 2 on my Machine Learning journey with ML-Zoomcamp, well this week was pretty choked up, but I still made time to go through the content, here are some things we did this week..
We were introduced to a real world problem, that involved predicting the price of a car.
First, we had to gather, access and clean the data to make it good for the ML model.
Explored the dataset visually through graphs and chart to spot outliers and understand the distribution of target variable.
We then split the dataset into Train, Validate and Tests sets.
Linear regression model is a very popular model for predicting the price of a numerical quantity or variable, we used this, and we implemented the linear regression model with numpy.
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