Project for the course "Introduction to Machine Learning and Evolutionary Robotics" - UniTS.
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Updated
Jun 6, 2024 - Python
Project for the course "Introduction to Machine Learning and Evolutionary Robotics" - UniTS.
This project provides a comprehensive framework for evaluating classification models and selecting the best algorithm based on performance metrics. It demonstrates the importance of hyperparameter tuning and model comparison in machine learning workflows.
Este repositório contém conteúdo do trabalho da disciplina de Inteligência Artificial do curso de Ciências da Computação - UNIFEI.
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Bank card fraud detection using machine learning. Web application using Streamlit framework
Essential NLP & ML, short & fast pure Python code
Thesis Penelitian Seleksi Diklat Kementrian menggunakan Machine Learning Naive Bayes
analisis sentimen bahasa Indonesia menggunakan naive-bayes
This repository contains functions/codes related to different methods of machine learning for classification and clustering in python.
Program data mining menggunakan algoritma Naive Bayes
NLP & Classification exercises and projects done at alx training
This project aims to classify text messages as spam or ham (non-spam) using machine learning models
This repository contains a comparison of different Naive Bayes classifiers (Bernoulli, Gaussian, and Multinomial) for predicting benign and malignant cancer cases. The project includes confusion matrices for each classifier to evaluate their performance.
This Repository consists of programs related to AI-ML-DL-NLP-CV. Few examples include - KNN, Naive Bayes, Decision Trees, EDA etc.
All Assignments of the course, Statistical Methods in AI at IIITH, Monsoon 2024
Slides, exercises, and exams for my course "Natural Language Processing" (École Pour l'Informatique et les Techniques Avancées, 2024)
Python implementation of naive bayes from scratch and using scikit-learn
Analysis of student performances of the Open University Learning Analytics dataset by using logistic regression and various classifiers.
Focusing on Sentiment Analysis .
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