Learn more about artificialintelligence with this collection
Understanding machine learning models
Improving data analysis and decision-making
How Google uses logic in machine learning
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After creating all the features to predict the sale prices, using sklearn, we train-test-split the training data. In Regression, there are a lot of models you can choose from to get the best performing model. In this project, I ran Linear Regression, Ridge, and Lasso models.
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In order to predict the outcome variable (y variable) you need to turn all the object type columns into numeric in order to predict the Sale Price. So first, I converted all the ordinal columns into numeric by assigning them by numbers, and for all the other features I created dummy variables.
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166 reads
Machine Learning is the process of letting your machine use the data to learn the relationship between predictor variables and the target variable. It is one of the first steps toward becoming a data scientist.
There are two kinds of Machine Learning: supervised, and unsupervised learning....
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253 reads
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A machine learning example
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