Overall, what did you achieve in your project?

I built a water shortage prediction model based on groundwater data.

Predicting water shortages in California’s Central Valley using periodic water level data

In this blog post, I classify images of cats and dogs using Tensorflow. I will use Tensorflow’s Datasets functionalities to streamline the model training and testing process, get started on some image data preprocessing and augmentation, and use a pre-trained image classification model to achieve better performance.

In this blog post, we’ll explore several algorithms to cluster data points.

In this post, we’ll be making a web scraper - a tool that extracts data from webpages. Suppose we want to find out which movies share the most number of actors with our favorite movie, say, The Shawshank Redemption. A good place to find this information is IMDB, which has

1. movie pages with a link to its credits page,
2. credits pages containing the cast list, and
3. actor pages that list their filmography.

A web app allows users to interact with the program by taking user input and producing output. With the flask package, we can build a simple message board where users can input messages and view a random selection of past messages. The code below are snippets from a .py file. We also need a templates folder containing .html templates, which the code below will render. The full repository is available through this link.

Creating a database

This post demonstrates basic data manipulation with pandas and visualizations with the plotly package.