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First of all I have uploaded a dataset from Kaggle to the Colab. Then I have imported all the necessary libraries in google colaboratory. Then I started cleaning the data and manipulate the data. After that using matplotlib and seaborn I have created some visualised graphs.
Different modeling techniques like multiple linear regression and random forest, etc. will be used for predicting the cement compressive strength. A comparative analysis will be performed to identify the best model for our prediction in terms of accuracy.