The Ruby DataMining Gem, is a little collection of several Data-Mining-Algorithms

Automatic method for the recognition of hand gestures for the categorization of vowels and numbers in Colombian sign language based on Neural Networks (Perceptrons), Support Vector Machine and K-Nearest Neighbor for classifier /// Método automático para el reconocimiento de gestos de mano para la categorización de vocales y números en lenguaje d…

A machine-learning project to determine if a certain mushroom is edible or poisonous.

An implementation of the K-Nearest Neighbors algorithm from scratch using the Python programming language.

Using Supervised Machine Learning Techniques for Chronic Kidney Disease Detection

Train SVM & KNN model for face recognition with the help of "The world's simplest facial recognition api for Python and the command line"

Detection (Prediction) of the possibility of a stroke in a person

All solved lab of FAST NUCES Lahore campus _ 2022 Spring

Implementing an Image classification neural network to classify Street House View Numbers

The aim of this study is to predict how likely individuals are to receive their H1N1 flu vaccine. We believe the prediction outputs (model and analysis) of this study will give public health professionals and policy makers, as an end user, a clear understanding of factors associated with low vaccination rates. This in turn, enables end users to …

Webapp para classificar comentários (positivos, negativos e neutros) advindos do Facebook usando Natural Language Toolkit (NLTK) + Django e Bootstrap na interface Web.

Used 5 different supervised machine learning algorithms and trained them with real data of people with and without liver disease. Then evaluated the results of each of them using different parameters to choose the best one.

Eigenfaces is an approach to facial recognition based on the overall appearance of a face, not on its particular details. By means of technique that can intercept and reshape the variance present in the image, the reshaped information is treated like the DNA of a face, thus allowing recovery of similar faces (because they have similar variances)…

CSE 575 Statistical Machine Learning

A python script that classifies iris flower species based on their various dimensions.

My learning outcomes and followup of a well instructed Coursera guided project by Ari Anastassiou.

A Supervised machine learning classifier using K Nearest Neighbour (KNN) and Logistic Regression.

In this repository, I worked on Mental Health in Tech Survey which includes: Data Cleaning, Data Analysis, Machine Learning, Natural Language Processing and Word Cloud.

Deep learning based recommender system made up of CNN for feature extraction and k-nearest-neighbors for recommendation

The fraud identification models were build using Python Scikit-learn machine-learning module.