Topic: classification-models Goto Github
Some thing interesting about classification-models
Some thing interesting about classification-models
classification-models,In simpler words we tell whether a user on Social Networking site after clicking the ad’s displayed on the website,end’s up buying the product or not. This could be really helpful for the company selling the product. Lets say that its a car company which has paid the social networking site(For simplicity we’ll assume its Facebook from now on)to display ads of its newly launched car.Now since the company relies heavily on the success of its newly launched car it would leave no stone unturned while trying to advertise the car. Well then whats better than advertising it on the most popular platform right now.But what if we only advertise it to the correct crowd.
User: aadimangla
classification-models,Extensive EDA of the IBM telco customer churn dataset, implemented various statistical hypotheses tests and Performed single-level Stacking Ensemble and tuned hyperparameters using Optuna.
User: ahmedshahriar
Home Page: https://share.streamlit.io/ahmedshahriar/Telco-Customer-Churn-Prediction-Streamlit-App/main/app.py
classification-models,An R package that simplifies running machine learning algorithms using the tidymodels framework. Includes classification and regression models.
User: amanda-park
Home Page: https://amanda-park.github.io/easytidymodels/
classification-models,Website sources for Applied Machine Learning for Tabular Data
Organization: aml4td
Home Page: https://aml4td.org/
classification-models,The repository contains exercises on Machine Learning algorithms in R, using RStudio. Used to dive into ML, data preprocessing, data visualisation, and data exploration.
User: anastazijaverovic
classification-models,The goal was to perform predictive maintenance on commercial turbofan engine. The approach used here is a data-driven approach, meaning that data collected from the operational jet engine is used to perform predictive maintenance modeling. To be specific, to build a predictive model to estimate the Remaining Useful Life ( RUL) of a jet engine based on run-to-failure data of a fleet of similar jet engines. Supervised learning(Regression and Classification models) models were adapted and customized to fit our problem.
User: arjunsingh88
classification-models,
User: ayushs2k1
classification-models,Alignment-free bacterial identification and classification in metagenomics sequencing data using machine learning
Organization: bioinfouqam
classification-models,Neuronal morphology preparation and classification using Machine Learning.
Organization: bluebrain
Home Page: https://morphoclass.readthedocs.io
classification-models,MachineShop: R package of models and tools for machine learning
User: brian-j-smith
Home Page: https://brian-j-smith.github.io/MachineShop/
classification-models,Uses machine learning classification models predict unemployment based on mental health data.
User: camerongridley
classification-models,Repository for several data science and analysis projects
User: cereniyim
classification-models, Collision Avoidance Strategies with Jetracer Pro AI Kit.
User: chentyra
classification-models,Easily generate synthetic data for classification tasks using LLMs
User: daspartho
classification-models,Projeto de predição de churn utilizando algoritmos de classificação. Ao final do projeto, foi entregue um modelo de machine learning que consegue prever o churn dos clientes futuros e, também, foi dada uma lista com os atuais clientes que estão em maior risco de churn.
User: deborabmfreitas
classification-models,Code for the CUP Elements on text analysis in Python for social scientists
User: dirkhovy
Home Page: https://doi.org/10.1017/9781108873352
classification-models,In this project I used ML modeling and data analysis to predict ad clicks and significantly improve ad campaign performance, resulting in a 43.3% increase in profits. The selected model was Logistic Regression. The insights provided recommendations for personalized content, age-targeted ads, and income-level targeting, enhancing marketing strategy.
User: farrellwahyudi
classification-models,This repository contains the code and datasets for creating the machine learning models in the research paper titled "Time-series forecasting of Bitcoin prices using high-dimensional features: a machine learning approach"
User: heliphix
Home Page: https://doi.org/10.1007/s00521-020-05129-6
classification-models,This aims to explore different data mining techniques, such as classification, regression, clustering, and association rule mining, using datasets available in Weka.
User: imharshag
classification-models,Data science project conducting complete analysis of online shopping behavior
User: janhavi-giri
classification-models,Machine learning series 2.1 on decision tree, with information about series 1 on logistic regression
User: jhylin
classification-models,Classification ML models for predicting customer outcomes (namely, whether they're likely to opt into email / catalog marketing) depending on customer demographics (age, proximity to store, gender, customer loyalty duration) as well as sales and shopping frequencies by department
User: jspano95
classification-models,Milk quality prediction using Machine Learning
User: kasturimandlik
classification-models,Based on the Udemy Course "Machine Learning A-Z: AI, Python & R + ChatGPT Prize [2024]"
User: kkeshav1101
classification-models,Airline Marketing Study: prediction of customer satisfaction and customer clustering using sklearn libraries.
User: leo-cavalcante
classification-models,A tool to support using classification models in low-power and microcontroller-based embedded systems.
User: lucastsutsui
Home Page: https://pypi.org/project/embml/
classification-models,The project is based on datasets from various sectors namely finance, health, industrial, crime, education, social media, biology, product and multimedia from the UCI repository and Kaggle. Trained and evaluated 8 classification methods across 10 classification datasets, 7 regression methods across 10 regression datasets and 2 classification methods (Convolutional Neural Network and Decision Tree Classifier).
User: mananp96
classification-models,This repository contains an ML project that was approached with a business mindset from the beginning to the end. It addresses the problem of binary classification.
User: marinamoreno
classification-models,This repo is all about my Machine Learning Journey
User: meer-khan
classification-models,Implementation of machine learning algorithms from their basic mathematical fundamentals to their code counterparts.
User: mouadettali
classification-models,Projet-PI-4DS2
User: muhamedhabib
classification-models,Lead Scoring is such a powerful metric when it comes to quantifying the lead & it is nowadays used by every CRM. In this repository, we are going to take a look at the UpGrad lead scoring case study and see how can we solve this problem through several supervised machine learning models.
User: mukulsinghal001
classification-models,Detect fraudulent credit card transactions through supervised machine learning
User: ncdisrup-ai
classification-models,First rank winner in the Machine Learning Course Competition for class 2021-2022. Airline ticket price prediction from end to end (analysis - preprocessing - modeling - testing - deployment - documentation) between Indian cities
User: nourkamaly
Home Page: https://airline-ticket-prediction-app.herokuapp.com/
classification-models,Basics of classification and bias
Organization: pyladiesams
classification-models,The goal of this project is to predict the perpetrator's relationship with the victim, by using Classification as a part of machine learning.
User: renad-albishri
classification-models,En este proyecto de GitHhub podrás encontrar parte del material que utilizo para impartir las clases de Introducción a la Ciencia de Datos (Data Science) con Python.
User: ricardomoya
classification-models,Experimental machine learning library that provides readable yet efficient implementations of fundamental ML models, written using NumPy.
User: rixsilverith
classification-models,Successfully established a machine learning model which can predict whether any given water sample is potable or not, based on its set of various properties, to a considerably high level of accuracy.
User: sayamalt
classification-models,This project aims to analyze and classify a real network traffic dataset to detect malicious/benign traffic records. It compares and tunes the performance of several Machine Learning algorithms to maintain the highest accuracy and lowest False Positive/Negative rates.
User: sinanw
classification-models,Regression, classification, clustering and recommender systems models.
User: stivenramireza
classification-models,IntelELM: A Python Framework for Intelligent Metaheuristic-based Extreme Learning Machine
User: thieu1995
Home Page: https://intelelm.readthedocs.io
classification-models,MetaPerceptron: Unleashing the Power of Metaheuristic-optimized Multi-Layer Perceptron - A Python Library
User: thieu1995
Home Page: https://metaperceptron.readthedocs.org
classification-models,A scikit-learn compatible hyperbox-based machine learning library in Python
Organization: uts-caslab
Home Page: https://uts-caslab.github.io/hyperbox-brain/
classification-models,Application of data analytics and machine learning to classify if an individual stopped by the police in New York City will be frisked, based on the circumstances of the stop and features of the individual suspect.
User: veeleekoh
classification-models,Sentiment analysis of Tokopedia app users on Google PlayStore using the Support Vector Machine (SVM) method
User: wandalistathea
classification-models,Tabular machine learning simplified!
User: xaviernogueira
classification-models,This project is a network intrusion detector that uses machine learning algorithms to distinguish between bad (intrusions/attacks) and good (normal) connections. The UI is built using Flask framework and the KDD Cup 1999 dataset is used for training. Python, Flask, and Scikit-learn are the main technologies used in this project.
User: yashwanth-javvaji
classification-models,Framework to evaluate Trajectory Classification Algorithms
Organization: yupidevs
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