classification-models

There are 274 repositories under classification-models topic.

  • dirkhovy/text_analysis_for_social_science

    Code for the CUP Elements on text analysis in Python for social scientists

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  • aml4td/website

    Website sources for Applied Machine Learning for Tabular Data

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  • brian-j-smith/MachineShop

    MachineShop: R package of models and tools for machine learning

    Language:R62799
  • mukulsinghal001/lead-scoring-model-python

    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.

    Language:Jupyter Notebook532024
  • heliphix/btc_data

    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"

    Language:Jupyter Notebook523929
  • yupidevs/pactus

    Framework to evaluate Trajectory Classification Algorithms

    Language:Python44100
  • UTS-CASLab/hyperbox-brain

    A scikit-learn compatible hyperbox-based machine learning library in Python

    Language:Python31212
  • RicardoMoya/Data_Science_Introduction_With_Python

    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.

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  • lucastsutsui/EmbML

    A tool to support using classification models in low-power and microcontroller-based embedded systems.

    Language:Python18111
  • sinanw/ml-classification-malicious-network-traffic

    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.

    Language:Jupyter Notebook17103
  • MuhamedHabib/DataScienceProject

    Projet-PI-4DS2

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  • wandalistathea/analisis_sentimen_tokopedia

    Sentiment analysis of Tokopedia app users on Google PlayStore using the Support Vector Machine (SVM) method

    Language:Jupyter Notebook14101
  • thieu1995/IntelELM

    IntelELM: A Python Framework for Intelligent Metaheuristic-based Extreme Learning Machine

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  • AiCorsair/Dataquest-Data-Science-Analysis-Projects

    A repository dedicated to storing guided projects completed while learning data science concepts with Dataquest.

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  • cereniyim/Data-Science-Projects

    Repository for several data science and analysis projects

  • farrellwahyudi/Predicting-Ad-Clicks-Classification-by-Using-Machine-Learning

    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.

    Language:Jupyter Notebook9101
  • BlueBrain/morphoclass

    Neuronal morphology preparation and classification using Machine Learning.

    Language:Python84454
  • SayamAlt/Water-Quality-Prediction

    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.

    Language:Jupyter Notebook8102
  • thieu1995/MetaPerceptron

    MetaPerceptron: A Standardized Framework For Metaheuristic-Driven Multi-layer Perceptron Optimization

    Language:Python8100
  • aadimangla/Predicting-product-sales-through-ads

    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.

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  • imharshag/Data-Mining-Models-weka

    This aims to explore different data mining techniques, such as classification, regression, clustering, and association rule mining, using datasets available in Weka.

  • pyladiesams/classification-bias-beginner-apr2021

    Basics of classification and bias

  • ahmedshahriar/Customer-Churn-Prediction

    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.

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  • KKeshav1101/ML_AtoZ-Using-Python

    Based on the Udemy Course "Machine Learning A-Z: AI, Python & R + ChatGPT Prize [2024]"

    Language:Jupyter Notebook5100
  • MatinAfzal/IRIS-GUI

    A graphical machine learning program written with tkinter and scikit-learn library.

    Language:Python5101
  • Mohanty-Hitesh-4495/Indian-Script-Classification

    A repository housing a CNN model for text recognition, implemented in Python with TensorFlow and OpenCV.

    Language:Jupyter Notebook5200
  • VeeLeeKoh/Stop-and-Frisk-Data-Analysis

    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.

    Language:Jupyter Notebook5201
  • virajbhutada/telecom-customer-churn-prediction

    Predict and prevent customer churn in the telecom industry with our advanced analytics and Machine Learning project. Uncover key factors driving churn and gain valuable insights into customer behavior with interactive Power BI visualizations. Empower your decision-making process with data-driven strategies and improve customer retention.

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  • anastazijaverovic/Machine_Learning_Algorithms_R

    The repository contains exercises on Machine Learning algorithms in R, using RStudio. Used to dive into ML, data preprocessing, data visualisation, and data exploration.

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  • Analysis-Online-Shopping-Behavior

    janhavi-giri/Analysis-Online-Shopping-Behavior

    Data science project conducting complete analysis of online shopping behavior

    Language:Jupyter Notebook4101
  • leo-cavalcante/airline-passenger-satisfaction

    Airline Marketing Study: prediction of customer satisfaction and customer clustering using sklearn libraries.

    Language:Jupyter Notebook4101
  • MarinaMoreno/Which-employees-will-quit-their-positions-Binary-classification-

    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.

    Language:Jupyter Notebook4100
  • NourKamaly/AirlineTicketPricePrediction

    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

    Language:Jupyter Notebook4104
  • chentyra/jetracer-CollisionAvoidance

    Collision Avoidance Strategies with Jetracer Pro AI Kit.

    Language:Jupyter Notebook3101
  • Mohit6304/Parkinsons-Disease-Detection

    A machine learning-based web app for detecting Parkinson's disease from voice recordings. The app extracts key voice features, applies pre-trained models, and provides real-time predictions of Parkinson's likelihood. Built using Streamlit, Librosa, and scikit-learn.

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