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Coursera Applied Machine Learning in Python
I leveraged an algorithmic approach to predict the price and carat of the diamond using Machine Learning. Various regression models have been trained and their performance has been evaluated using the R Squared Score followed by tuning of the hyperparameters of top models. I have also carried out a trade-off based on the R Squared Score and the Run-Time to take a situational decision to select the best model.
exploring machine learning feature engineering through Scikit-Learn Cookbook 3rd Ed. and scikitlearn documentation
Credit Card Clients (CCC) Default Prediction Using various Machine learning Algorithms
Classify groceries using an image classification model deployed on a mobile app