Data Mining
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Updated
Feb 23, 2022 - Python
Data Mining
NLP Project using TF-IDF & RandomForestClassifier
Employing Various Data Mining Technique.
Simple example of how to deploy machine learning model (RandomForestClassifier) with FastAPI and docker-compose.
Finding out the political affiliation of users on Reddit from their comments, using both BERT and Doc2Vec embeddings
Python application using artificial intelligence using LaberEnconder, KNeighborsClassifier and RandomForestClassifier
Datamining concepts
TitanicClassification.py file contains project based on binary classification. The dataset comprises of data related to passengers and binary value of whether they survived or not.
Flask web app with Redis, Sklearn, APScheduler and others...
Machine Learning lessons (Linear Regression, Logistic Regression, DecisionTreeClassifier, SVC, RandomForestClassifier, K Clustering, Naive Bayes) and data manipulation codes learned from this playlist: https://www.youtube.com/watch?v=gmvvaobm7eQ&list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw&index=1
Machine learning model Visualizer in web using streamlit
Bank Notes Authenticity tester using RandomForestClassifier
working with some of basic and advance machine learning in scikit-learn
Este projeto visava criar um sistema de reconhecimento de sinais de Libras em tempo real, utilizando técnicas de aprendizado de máquina e visão computacional. Inicialmente, foi empregada a detecção de mãos com o MediaPipe Hands e a classificação dos sinais com RandomForestClassifier.
A graduate class project involving controlling a Turtlebot4 running on ROS2 Galactic using hand gesture recognition.
A chatbot able to diagnose disease based on provided symptoms and recommend precautions. Trained on a random forest model
Train and apply a RandomForestClassifier on large images
Modello Random Forest per la creazione di una mappa di suscettibilità da frane superficiali // // Tesi di Laurea Magistrale in Scienze della Terra (Geologia Applicata) - Università degli Studi di Milano
Machine Learning Software that predicts planets based on their distance from the sun, number of satellites and various properties
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