iris dataset analysis and model

Classificação de dados usando redes neurais, usando Keras e Colab.

Shiny app visualization of answers to the survey of business conditions in two refugees camps in Rwanda

MNIST Classifier based on Dynamic time warping

A class project where my team got 4th rank on private leaderboard

NTU EE6227 Machine Learning Part Assignment - Classification Tree, Bayes Decision Rule and LDA

Classification with Clonal Selection Algorithm (CLONAX)

Research Paper Recommendation System

Pytorch implementation of VGG16 on CIFAR-10 | 90% accuracy

Simple Demo of MLflow Project

Final project for UIUC statistical learning course

Text/non-text image crawler & classifier service. Software course project of EIC, HUST (2021 Autumn).

A character-level RNN reads words as a series of characters - outputting a prediction and “hidden state” at each step, feeding its previous hidden state into each next step. We take the final prediction to be the output, i.e. which class the word belongs to.

Create a travel plan for the clients in 4 aspects using Classification and Regression Analysis

Lending Club is a lending platform that lends money to people in need at an interest rate based on their credit history and other factors. In this blog, we will analyze this data and pre-process it based on our need and build a machine learning model that can identify a potential defaulter based on his/her history of transactions with Lending Cl…

I have created a machine learning model that can classify the species of an iris flower based on its sepal and petal, length and width.

Mushroom classification using supervised learning

Simple machine learning model using scikit-learn

Steam is a video game digital distribution service with a vast community of gamers globally. A lot of gamers write reviews at the game page and have an option of choosing whether they would recommend this game to others or not. However, determining this sentiment automatically from text can help Steam to automatically tag such reviews extracted …