Prediction For UCLA Admission | Project In Machine Learning | Python, Data Analytics
Here in this project we will discuss:
data understanding, no of columns their data types
we will check missing value count for each column if we have missing impute those
we will rename the columns with appropriate naming convention
We also see the data distribution of multiple columns using matplotlib visualization,
Select the input and target features to build machine learning model
-We will be using GridSearchCV to find the best algorithm for this problem
Creating a function to calculate best model for this problem
We will also check prediction by using some sample input.
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