classification-algorithims

There are 216 repositories under classification-algorithims topic.

  • PDSclassifier

    Language:R2
  • Gradient-Descent-Scratch

    Language:Jupyter Notebook2
  • MLProject

    Final Year Project

    Language:CSS3
  • PointCloud_Classification_and_Segmentation

    Implementing a PointNet based architecture for classification and segmentation with point clouds. Q1 and Q2 focus on implementing, training and testing models. Q3 asks you to quantitatively analyze model robustness.

    Language:Python2
  • Kaggle-Notebooks

    A list of Notebooks created by me on Kaggle

    Language:Jupyter Notebook2
  • DNA-Classifier-and-Comparator

    Testing DNA sequences against various classification allgorithms

    Language:Jupyter Notebook2
  • salaries-in-data

    💷 💵 💶 A ML project containing web scraping, NLP and some classification model evaluation

    Language:Jupyter Notebook2
  • Credit_Card_Default_Prediction

    In this project we predict credit card defaults using classification models.

    Language:Jupyter Notebook2
  • EOLearn

    A simple example of a machine learning library for land-cover classification

    Language:Python2
  • Machine-Learning-Study-

    Personal, studying and tips materials, plus some coding challenges and tests i had done.

    Language:Jupyter Notebook2
  • Diabetes-Prediction-Model

    In this project we will try to predict if the person has diabetes has or not.

    Language:Python2
  • Early-Stage-Diabetes-UCI-ML

    Data collected from the patients of Sylhet Diabetes Hospital, Bangladesh.

    Language:Jupyter Notebook2
  • ModelServingApplication-Tensorflow-Flask

    Tensorflow deep learning model serving using flask. The template is simple as main concern is building the web app. Template making quite easy than serving,it shows all the steps needed to linking the model with our web application.

    Language:Python2
  • Heart-Disease-Prediction

    Heart Disease Prediction - Using Sklearn, Seaborn & Graphviz Libraries of Python & UCI Heart Disease Dataset Apr 2020

    Language:Jupyter Notebook2
  • InfoSystemV1-Visitor_Device

    The purpose of this Android application is to serve as part of a system of 3 apps that collect information about visits to the house. This app, in particular, is used to validate visitors who are logging in to the system. Once a visitor has signed into the app, the Alzheimer's patient and their caretaker are notified.

    Language:Java2
  • ECE239AS-Neural-Networks-and-Deep-Learning-UCLA

    These Codes are written as part of Neural Networks and Deep learning course at UCLA.

    Language:Jupyter Notebook2
  • Loan-best-Classifier

    Final assignment of a Machine Learning with python Course on Coursera it's purpose is to check and choose the best classification model that predicts if the user can have a loan or not.

    Language:Jupyter Notebook2
  • Coursera-Deep-Learning-Specialization-deeplearning.ai

    [Coursera] Deep Learning Specialization on Coursera

    Language:HTML2
  • Pin-SVM

    Pin SVM

    Language:MATLAB2
  • hate-speech-detection

    Hate-speech and offensive language detection model using various Machine Learning and NLP techniques and labeled Twitter data

    Language:Python2
  • Image-Pre-Classification

    Extracting Hist Features to do Image Classification using Decision Tree or Random Forest or Adaboost

    Language:Python2
  • SalaryClassifier

    A machine learning script that uses KNN, Naive Bayes, Decision Trees, and Random Forests classification algorithms to predict a person's salary.

    Language:Python2
  • Classification-binaire

    Modèles de classification binaire.

    Language:Python2
  • Air-quality-prediction-ml-algorithms

    AirPredict AQI prediction using classification algorithm

    Language:Jupyter Notebook1
  • Sepsis-Classification-ML-Project-with-FastAPI-Deployment

    This repository houses a machine learning project focused on the early detection and classification of sepsis, and integrating the model into a web application using FAST API.

    Language:Jupyter Notebook1
  • LP2-Customer-Churn-Machine-Learning-Predictions

    In this project, we embark on an exciting journey to explore and analyze customer churn within the Telecom network service using the CRISP-DM (Cross-Industry Standard Process for Data Mining) framework.

    Language:Python1
  • Food-Adulteration

    Food Adulteration detection using hyperspectral images and machine learning techniques.

    Language:Jupyter Notebook1
  • credit_risk_prediction

    Project Based Virtual Internship ID/X Partners; Credit Risk Predictive Model

    Language:Jupyter Notebook1
  • Airplane-Boat-Car

    Quick image classification model designed to tell the difference between an airplane, boat, or a car that was trained on hundreds of images!

    Language:Python1
  • Movie-Genre-Classification

    Movie genre classification in NLP using multinomial navie bayes classification and linear support vector classification.

    Language:Jupyter Notebook1
  • music-genre-classifier

    Classifies music files by their genres using machine learning algorithms

    Language:Python1
  • Breast-Cancer-Wisconsin-Anomaly-Diagnosis

    Performed statistical-EDA and normalization analysis on digitized mass images with 10 nuclei features (radius, texture) Predicted malignant - benign cancer using Logistic, LDA-QDA, KNN, Lasso-Ridge classifiers with 0.89, 0.88, 0.92, 0.96 and 0.97 accuracies respectively along with decision boundaries and ROC curves

    Language:Jupyter Notebook1
  • ChristianRCanlas.github.io

    e-Portfolio showcasing my personal projects.

    Language:Python1
  • Standard-Deviation-MNIST

    "Quantum-Inspired MNIST" achieved 72% accuracy using nothing but means, addition, and subtraction. This experiment adds standard deviations.

    Language:Jupyter Notebook1
  • cse3013-ai-project

    This repo contains project which we(Shikhar, Sri Charan, and me) did as a part of our university course CSE3013-Aritificial Intelligence.

    Language:Jupyter Notebook1
  • AMLS_21-22_SN20146464

    This repository contains the code of the coursework of the ELEC0134 Applied Machine Learning Systems module at UCL. The aim of this project is to classification the Brain Tumor images.

    Language:Jupyter Notebook1