• **Overall, what did you achieve in your project? **

With the development of the Internet, the news media has become faster and faster to spread. However, some fake news reports have also appeared in the Internet along with it. Some fake news media hope to arouse public opinion through fake news, so as to increase their own influence in the internet. Hence, it is important for everyone to have the ability to recognize the real and fake news.

Distinguishing between cats and dogs might be very easy for everyone! However, this can be a diffcult problem if we want computer to learn to distinguish between them. In this blog plot, we will be learning how to train machine learning models to let our python program to distinguish between cats and dogs. In this blog post, we mainly utilize the packages and methods in TensorFlow.

In this blog post, we are going to perform a simple version of the spectral clustering algorithm for clustering the data points.

This is a web scraping project for PIC16B at UCLA. In this project, I wrote a web scraper using Scrapy to collect a list of movies on IMDB to show that which movies share at least one actor with our favorite movie. The link to the Github repository: https://github.com/jeff1hwang/Web-Scraping-IMDB

Hi everyone! In this blog post, I am going to create a simple, interesting Message Bank webapp using Flask. This webapp allows users to submit and view their message on the web page. In this tuturial, I will show you how to create this webapp step by step! Tips: All Web app files has been uploaded to my Github Repository

In this post, we are going to create several interesting, interactive data graphics using the NOAA climate data.

In this blog post, we are going to create a visualization using the palmer penguins data set. The following tutorial will guide you to create this interesting visualization!

In this post, we’ll get set up with Jekyll. Jekyll is a static site converter, which you can use to turn plaintext documents into attractive webpages.

Fortunately, it’s pretty easy to embed interactive HTML figures produced via Plotly on your blog. Just use plotly.io.write_html() to save your figure. Then, copy the resulting HTML file to the _includes directory of your blog. Finally, place the code

It is possible to construct, maintain, and update your blog fully from GitHub. In this case, it is not necessary to download your blog’s files or modify them on your computer. However, when constructing complex posts involving code and figures, local editing can be more comfortable. Additionally, since GitHub Pages usually takes a few minutes to publish all your changes, modifying your blog locally allows you to more quickly see the results of your changes, including errors when they arise. In this post, I’ll show how to manage your blog locally.

In this post, I’ll show how to create a helpful histogram of some synthetic data.

In this post, we’ll see some examples of how to create technical posts that include Python code, explanatory text, and notes about your learnings. We’ll go over the primary methods that you’ll use to embed content in your posts.