gaussiannb
There are 24 repositories under gaussiannb topic.
moyuweiqing/A-stock-prediction-algorithm-based-on-machine-learning
（陆续更新）重新整理过的基于机器学习的股票价格预测算法，里面包含了基本的回测系统以及各种不同的机器学习算法的股票价格预测，包含：LSTM算法、Prophet算法、AutoARIMA、朴素贝叶斯、SVM、随机森林等
seb-in/10-Classifiers-Confusion-Matrix-and-Accuracy
SVM, Logistic Regression, K-Nearest Neighbors Classifier, GaussianNB, Random Forest, XGBoost, DecisionTree Classifier, Ensembled Classifier, ExtraTrees Classifier, Voting Classifier
aiyub645/Heart-Disease-Prediction
Heart disease describes a range of conditions that affect your heart. Diseases under the heart disease umbrella include blood vessel diseases, such as coronary artery disease, heart rhythm problems (arrhythmia), and heart defects you’re born with (congenital heart defects), among others.
mdaiyub/Heart-Disease-Prediction
Heart disease describes a range of conditions that affect your heart. Diseases under the heart disease umbrella include blood vessel diseases, such as coronary artery disease, heart rhythm problems (arrhythmia), and heart defects you’re born with (congenital heart defects), among others.
mdaiyub/House-Price-Prediction
Predicting house prices can help determine the selling price of a house in a particular region and can help people find the right time to buy a home.
loopiiu/DSP2_Endterm
Expresso Churn Prediction Challenge - dealing with imbalanced dataset
sanketmaneDS/Naive_Bayes-
This repository contains introductory notebooks for Naive bayes algorithm
shaktipanda1235/Detection-of-Credict-Card-Default
‘Buy Now, Pay Later’ (BNPL) is a type of short-term financing used by start-ups like Slice, ZestMoney, Simpl, LazyPay, and Uni, are lowering the bars while approving applications. Building models to detect such customers beforehand.
SINGHxTUSHAR/Credit-Card-Fraud-Detection
Credit-Card-Fraud-Detection project is a binary classification project which predicts the Fraud by using the different classification algorithms
swarnava-96/Rainfall-Prediction
A Flask web app which predicts whether it will rain tomorrow or not.
Alberto-00/Differential-MAD
🧠 DMAD - Differential Morphing Attack Detection. A project for Fundamentals of Computer Vision and Biometrics course at the University of Salerno.
aryabhatta0/Summer-Analytics-IITG
This repository contains my work for Summer Analytics '22 conducted by IIT Guwahati
BananAlhethlool/Promotions-Prediction-Classification
Predicts the qualified employee for promotion using Classification
gshashank84/Naive_Bayes
Naive Bayes (From Scratch)
Krishnkumar542/ML_Naive_Bayes_Classifier
Classifying iris flower dataset by using Naive Bayes classifier
Leohrithik/Weather-Prediction
A simple machine learning model using KNN,GaussianNB,SVC algorithms
mauryashobhit/Employee_Attrition_Rate
classifying employee attrition
MusaMasango/Credit-Card-Fraud-Detection-Project
The aim is to create a classifier that indicates whether a requested transaction is genuine or fraudulent.
ritvikanandi/SMS_spam_classification
Analysis of SMS tagged 5K+ messages collection to classify them as spam or ham. Used Natural Language Processing techniques to transform data into an understandable format.
rmalmoha/T5-ML-Classification-Project
This project is done during the data science T5 bootcamp. Using HR dataset and applying machine learning classification algorithms to predict eligible employees for promotions. Hence save time and effort and expedite the process of promotions in the company.
SajjadAlavi98/KhuMLProject
Performance Comparison of Three Classifiers for the Classification of Breast Cancer Dataset
sdakansu/Naive-Bayes-Text-Classification
In this project, Naive Bayes and Logistic Regression models are used to develop a text classification system for Turkish news articles.
Abdelrahman-Amen/Titanic-survival-prediction
The Titanic dataset includes passenger information such as survival status, ticket class, gender, age, family relations aboard, fare, cabin, and port of embarkation. It's widely used for predictive modeling to understand survival patterns based on passenger attributes.
mauroarcidiacono/wine-classifier
Final practical work of the Machine Learning Course with Python dictated by the UTN.