Facial Recognition Using One-shot Learning

Yuval published on 2022-12-18 included in Neural Networks

Implementation Imports First, there’s a need to import all libraries that we will use. NumPy (np) and Pandas (pd) are fundamental for numerical computations and data manipulation, respectively. The tqdm library provides progress bars for better visualization during loops or computations, while the time module allows us to work with time-related functions. We also import PyTorch (torch) for building and training deep learning models. OpenCV (cv2) is essential for image processing tasks.

Building a Spotify Recommendation System

Yuval published on 2022-04-11 included in Recommendation Systems

In this post I’ll show the steps I took in order to build my own spotify recommendation system that will automaticlly add new playlists to my account based on the songs I liked. Using Spotify API and gathering data Importing all the packages we are gonna need: import spotipy from sklearn.neighbors import KNeighborsClassifier from spotipy.oauth2 import SpotifyOAuth from spotipy.oauth2 import SpotifyClientCredentials import pandas as pd import sklearn import matplotlib.pyplot as plt from sklearn.

Building a Neural Network From Scratch

Yuval published on 2021-12-23 included in Neural Networks

In this project we will learn what is an artificial neural network and how it can be used to train ML models.

Dementia Prediction

Yuval published on 2021-09-14 included in Classification

This article will deal with an attempt to build a model for predicting dementia as well as a brief description about this condition.

Are You a Hard Worker Or Just Lucky?

Yuval published on 2021-09-09 included in Beginners

Have you ever wondered why are some people more successful than others? Is it they’ve got a better education, more connections? Are they more hard-working? Or maybe they are just luckier!?