In this note book we use a pre-trained model and saw the application of image captioning

This is a low code auto ML notebook using TPOT framework

This notebook applies pre-processing to the dataset of email message_text, so the model can further classify into spam or not spam.

This model predicts cifar10classes using cnn

In this I applied the model on mnist dataset. It was a classification task

This classifies between Diagnosis (M = malignant, B = benign)

Case Study: Predicting Medical Charges Using Linear Regression

Look no further, if you want to see how to explore the data.

This is EDA challenge, implemented using python.

This project covers advanced concepts of sql , join, subqueries