This is Part 3 of a Python tutorial for beginners.

This is Part 2 of a Python tutorial for beginners.

This is Part 1 of a Python tutorial for beginners.

In this blog post, we will create a language model that will generate its own movie reviews.

In this blog post, we will create a language model that will classify movie reviews into positive reviews and negative reviews, based on their sentiment.

In this blog post, we will be predicting the sale price of bulldozers sold at auctions, based on the usage, equipment type, and configuration. The data is sourced from auction result postings and includes information on usage and equipment configurations.

In this blog post, we’ll try to figure out what breed of pet is shown in each image of a dataset using Fastai and PyTorch.
The dataset we’ll be using is the Oxford-IIIT Pet dataset. It’s a 37 category pet dataset with roughly 200 images for each class. The images have a large variations in scale, pose and lighting.

In this blog post, we will try to predict text in context to a Harry Potter novel.

In this blog post, we’ll build a model to try and identify whether images contain a dog or a cat. The dataset contains 25,000 images of cats and dogs and they have already been split into train and test sets. You can download the data here.

Autonomous driving is one of the most exciting and disruptive innovations of our time. Lane Detection is one of the preliminary steps involved during the training of an autonomous driving car.