Topic: machine-learning-classification Goto Github
Some thing interesting about machine-learning-classification
Some thing interesting about machine-learning-classification
machine-learning-classification,This project focuses on utilising machine learning techniques to predict the effectiveness of bank marketing campaign. Logistic Regression, Decision Tree, Random Forest, Gradient Boosting Machine, XGBoost, K Nearest Neighbor, Naive Bayes, Support Vector Machine, and Artificial Neaural Networks algorithms are used to build a model for prediction.
User: ajitmane36
machine-learning-classification,Implementation of various machine learning classification techniques: K-means clustering, Naive Bayes with Gaussian distributions etc.
User: amariucaitheodor
machine-learning-classification,his project involves the classification of ECG (Electrocardiogram) readings to determine whether they are normal or abnormal. The dataset consists of rows, each representing a complete ECG of a patient with 140 data points (readings).
User: amiruzzaman1
Home Page: https://colab.research.google.com/drive/1D3ie2joEcyNI5AJddHxkIQ411FhxcvsR?usp=sharing
machine-learning-classification,Project aim is to use machine learning for predicting the winner of PokΓ©mon among player choices. Potential audiences are the general public interested in playing the game and company management.
User: aneshaak
machine-learning-classification,
User: avithekkc
machine-learning-classification,Classification is the process of predicting the class of given data points. Classes are sometimes called as targets/ labels or categories.
Organization: awesome-machine-learning
machine-learning-classification,Decision Tree Classification was explored on Breast Cancer Data.
User: bissessk
machine-learning-classification,IoT CWE Dataset
User: criveraalvarez
machine-learning-classification,Supervised Machine Learning
User: damir77d
machine-learning-classification,Review Classification using NLP
User: gramai
machine-learning-classification,This repository contains a web application associated with a collection of a few classification algorithms using machine learning in Python to determine the sentiments behind internet memes based on image and text data extracted from 6,992 different internet memes, as part of the final project for the Introduction to Data Science (DS2001) course.
User: huzaifakhan04
machine-learning-classification,
User: jihaddem
machine-learning-classification,Logistic Regression Implementations - ML, Shallow NN and Enhanced Deep Neural Network for Structured and Unstructured Data Classification
User: kalyani011
machine-learning-classification,ml regression analysis
User: keyhong
machine-learning-classification,π Revolutionize customer targeting with a predictive ML model that optimizes insurance subscription. π―π
User: kishoralagappan
machine-learning-classification,Exploratory data analysis and machine learning classification models to predict employee attrition.
User: luuisotorres
Home Page: https://www.kaggle.com/code/lusfernandotorres/eda-and-employee-attrition-prediction/notebook
machine-learning-classification,This repository contains code designed to reproduce the results of my thesis by first generating a data set from query logs (Data), extracting features from that data set (FeatureExtraction), performing experiments based on those features (Experiments), and showing those results (Results).
User: michaelgrn
machine-learning-classification,
User: nachocarracedo
machine-learning-classification,Map of Artificial Intelligence: Classifications, Approaches, Algorithms, Libraries, Tools, State of Art Studies, Awesome Repos, etc..
User: omerbsezer
machine-learning-classification,Identify the various sections (bridge, chorus, etc) of a song.
User: pnlong
machine-learning-classification,This repository contains two classification projects: credit card default prediction and mobile price classification along with streamlit deployment .
User: pratik94229
machine-learning-classification,The aim of this project is to assess various machine learning classification techniques for discrete data. The models are to predict tweets' location solely using lexical analysis.
User: ptjahjadi
machine-learning-classification,CODSOFT Data Science Internship Project Tasks.
User: shahjan49
machine-learning-classification,Machine Learning Projects
User: shahjan49
machine-learning-classification,2023λ 11μ λνμ°μ 곡νν(UNIST) : λ€μ€ μν κ²½νμ κ³ λ €ν κ²μ μ μ μ΄ν μμΈ‘: λ‘€ κ²μμ μ€μ¬μΌλ‘, 1μ μ
User: shinho123
machine-learning-classification,In this Machine Learning Classification project we are going to predict who is going to survive the titanic crash and who isn't !!
User: shusingh
machine-learning-classification,Notebooks for Machine Learning Classification
User: sidx369
machine-learning-classification,iris classification demo
User: szchixy
machine-learning-classification,:ambulance: Get Instant Result from your Test Reports analyzed over a huge data-set using machine learning classification
User: vigzmv
Home Page: http://vigneshm.com/HealthHack/
machine-learning-classification,This project is Master thesis research conducted at ENEA Portici Research Center, Italy. The data is obtained from the HPC CRESCO6 cluster at ENEA Portici Research Center. The aim is to identify energy consuming areas within the data center. In this project, real-time dataset from ENEA Portici Research Center is used. There are several techniques implemented including big data analytics and AI technology.
User: waniakhance
machine-learning-classification,Cancerous Tumor Classifier based on RNA-Seq gene expressions dataset
User: xprathamesh
machine-learning-classification,A package for MD, Docking and Machine learning drug discovery pipeline
User: zhenglz
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