Pix2Pix Implementation From Scratch

A clean, simple and readable implementation including pretrained weights available on the Github repository if you’d like to evaluate the model :)

GitHub Repository:
https://github.com/aladdinpersson/Machine-Learning-Collection

#data-science #developer

Learn Angular From Scratch - Build SPA/Website with Angular 9 and Bootstrap - Part 1

Part 1 - Creating Angular 9 website using Angular CLI - Angular Single page application

Download NodeJS
https://nodejs.org/en/download/

Install Angular CLI
https://cli.angular.io/

Create Angular project from scratch using Angular CLI
ng new ProjectName

Spin up the application in the browser
ng serve -o

#angular #bootstrap #angular 9 #scratch #scratch

Kabanda Nat

1624633200

Using An Existing Blogging Platform vs Building A Blog From Scratch

Each option has its benefits and drawbacks. The purpose of this article is to answer this question and clarify it! Also, it’s important to note that everyone has different needs. So there is not a universal answer.
What matters most
Before going further, let’s see the most important things one should look for when opening a blog. They are as follows:

Having a personal domain - Having your domain is essential for two reasons. First of all, your blog looks more professional. Secondly, all the SEO benefits go to YOU. Hashnode is the only blogging platform that allows you to use your domain and for free. If you decide to move away, you retain all the SEO benefits, unlike other blogging platforms.

#scratch #existing blogging platform #a blog from scratch

Tyree Becker

1626292800

Implementing Rust's Vec From Scratch

In this stream, we implement a limited version of Rust’s Vec type from scratch. In doing so, we learn a lot about unsafe Rust. This stream is geared towards those with at least intermediate experience in Rust, but beginners should also learn more about how Rust’s memory model works.

Note: This is just a learning exercise! The standard library’s Vec is great, and you should just use that.

The resource on covariance I mention in the stream can be found here: https://github.com/sunshowers/lifetime-variance-example

#rust #vec #scratch

August Larson

1625092800

Logistic Regression: Implementation from Scratch in Python

Including both binary classification and multi-class classification.

Do you want to know how do machine learning models make classifications such as “is this person suffering from heart disease or not?”? Logistic regression is one of the most common algorithms used to do just this. Logistic regression is similar to the plain old linear regression in some way. They are usually the first two models being introduced to beginners learning machine learning models. Nevertheless, logistic regression is a very powerful classification model capable of handling large datasets and a high number of features.

One of the notable applications of logistic regression that I could think of is, in the field of Natural Language Processing, specifically in sentiment analysis. It is ubiquitous that people often try to apply a logistic regression model for sentiment analysis to test the performance before deciding whether it is really necessary to proceed to use more complex language models, or at least used a comparison to complex models. In fact, I have already built a Streamlit app for IMDB movie review sentiment analysis using a logistic regression model, which out of the box, has already achieved 90% accuracy out of 50k reviews.

Today, I am going to share how I solidify my understanding of logistic regression by implementing the logistic regression algorithm from scratch in Python. Both the implementation for binary classification and multi-class classification will also be covered.

Some of the key concepts to training most machine learning models have already been covered in my previous article about implementing linear regression from scratch, and most of them can be applied to logistic regression, therefore, they will not be explained in detail again in this article.

#logistic-regression #implementation #python

Edward Jackson

1615350894