Abhinaw TripathiFeb 8, 20202 min readMachine Learning - K-fold cross validation PythonK-fold cross-validation: In machine learning, we couldn’t fit the model on the training data and can’t say that the model will work...
Abhinaw TripathiFeb 8, 20201 min readRegularization - Machine learningWhat is Regularization in Machine Learning and AI? Regularization - Regularization in machine learning is a process of introducing...
Abhinaw TripathiFeb 5, 20201 min readData Science, Machine Learning and Artificial Intelligence using Python part-3Overfitting/underfitting We can see that linear function is not sufficient to fit the training samples. This is called underfitting. A...
Abhinaw TripathiFeb 5, 20202 min readData Science, Machine Learning and Artificial Intelligence using Python part-2The bias-variance tradeoff In machine learning,bias-variance tradeoff is the problem of simultaneously minimizing two sources of error...
