This program makes personalized shopping recommendations based on user input criteria. It uses a machine learning model trained on shopping trends data to predict what product a user is most likely to purchase along with a recommended color.

expression sequence machine learning application

Hyperparameter tuning using Sklearn Pipelines

Simple Classification ML Algorithm

Classificação de Distúrbios de Sono usando Machine-Learning Python

试题分类 学习sklearn的练手项目

Beer Wine Classification by Machine Learning based on alcoholic content and color

Some machine learning practices examples. From course: https://cursos.alura.com.br/course/machine-learning-introducao-a-classificacao-com-sklearn/

Predict the region of origin of an english-speaking tweet author by analyzing tweet content using machine learning classifier

Práctica de la asignatura Inteligencia de Negocio de cuarto curso de Ingeniería Informática.

A collaborative data science project done in Python analyzing the impact of hustle stats on the outcomes of NBA games. Overall, a logistic model proved best at determining game outcome. This project is for the Stat 426 class at Brigham Young University.

Conducting geodemographic classification for ethnic groups in NYC using K-means algorithm available in sklearn.cluster module.

This Iris classification webapp is made using sklearn and streamlit library in Python. Random Forest Classifier model is used to classify.

KMeans Clustering of data using Sklearn library, numpy and Pickle data

Loan Prediction Problem Analysis

Some nlp stuff.

this repo will include all my work regarding NLP

Based on the powerful econometrics and statistical background and rich data science resources of School of Economics (SOE) and Wang Yanan Institute for Studies in Economics (WISE), Xiamen University, WISER CLUB is a data science mutual aid learning organization jointly organized by SOE and WISE graduate students and undergraduate students.