Kaggle tests out different automatic machine learning libraries on this live stream coding session.
Here’s an interesting tutorial for Keras and TensorFlow that predicts employee retention.
In this tutorial, you’ll build a deep learning model that will predict the probability of an employee leaving a company. Retaining the best employees is an important factor for most organizations. To build your model, you’ll use this dataset available at Kaggle, which has features that measure employee satisfaction in a company. To create this model, you’ll use the Keras sequential layer to build the different layers for the model.
In this video, Siraj Raval reports from the recent Kaggle Days event in Paris.
Kaggle has a great video on how to do Deep Learning from scratch.
This Kaggle explains the inner workings of transfer learning, a fascinating application of neural networks.
In this live stream, Siraj Raval attempes to beat a Kaggle Challenge — the $100,000 “TGS Salt Identification Challenge” using a combination of Google Colab, Conditional Random Fields, and neural networks! Expect some colorful exploratory data analysis, then model building and some Q&A.