expression sequence machine learning application
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Updated
May 2, 2024 - Python
expression sequence machine learning application
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.
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
Language processing for better query answering
This web app provide 3 different Machine Learning (Classification) algorithms on 3 different SK_LEARN built in Data sets.
A project that applies machine learning to solve a real-world challenge: what cryptocurrencies are available on the trading market and how they can be grouped using classification.
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