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Projects in Awesome Lists tagged with classification-algorithm

A curated list of projects in awesome lists tagged with classification-algorithm .

https://github.com/hendhamdi/deep_learning-cnn-master.github.io

Image Classification with a Convolutional Neural Network (CNN)

classification-algorithm cnn deep-learning python testing training

Last synced: 10 Sep 2025

https://github.com/assasinator/segmentation-in-skin-lesion-classification-

Melanoma is one of the most dangerous types of skin cancers. So, early detection of this cancer can help the patient recover better. This is a course project where we tried to implement several classification algorithms both on segmented and non-segmented images to check the effect of segmentation on the classification. We also tried to explore the performance metrics of different classification algorithms.Our research has shown that, for small dataset the traditional CNN works better when the image is segmented and for the images without segmented the transfer learning algorithm works better compared to other classification algorithms.

classification-algorithm deep-neural-networks image-processing machine-learning-algorithms medical-imaging segmentation

Last synced: 21 Jun 2025

https://github.com/sudothearkknight/15-machinelearningprojects

A curation of 15 Machine Learning projects in various fields that are helping me gain a better understanding of the different machine learning tools, techniques, algorithms and methodalogies.

classification-algorithm machine-learning machine-learning-algorithms natural-language-processing pycharm-ide python3 regression-models scikit-learn scikitlearn-machine-learning spam-detection

Last synced: 19 Jan 2026

https://github.com/gorosgobe/clj

Small library for classification and clustering in Java

classification classification-algorithm clustering decision-trees java k-means

Last synced: 20 Jun 2025

https://github.com/dimits-ts/numpy-mlp-classifier

Implementing a logistic regression and neural network models with batch stochastic gradient descent using numpy

artificial-intelligence classification-algorithm machine-learning neural-network

Last synced: 10 Jul 2025

https://github.com/tharuneshwar-s/ResumeRevealer

ResumeRevealer is an advanced tool designed for HR professionals, recruiters, and hiring managers to streamline the process of resume parsing and candidate evaluation. It offers a comprehensive solution to extract valuable insights from diverse resume formats, standardize job titles, and mine detailed skills from project descriptions.

classification-algorithm jupyter-notebook nlp nltk o-net onevsrestclassifier pdf-reader python scap sentence-transformers space

Last synced: 22 Oct 2025

https://github.com/mateusjunges/inteligencia-computacional

Repositório para as atividades desenvolvidas na matéria de Inteligência Computacional, do curso de Engenharia de Computação da Universidade Estadual de Ponta Grossa

ai artificial-intelligence classification-algorithm neural-network

Last synced: 13 Mar 2025

https://github.com/anandanraju/ibm_applied_data_science_capstone_final_project

This repository demonstrate proficiency in data science and machine learning techniques using a real-world data set and prepare a report for stakeholders. To demonstrate proficiency in data science and machine learning techniques using a real-world data set and prepare a report for stakeholders.

applied-data-science capstone-project classification-algorithm coursera decision-tree-classifier ibm ibm-cloud machine-learning machine-learning-algorithms regression-models svm

Last synced: 07 Jul 2025

https://github.com/manjit-baishya-datascience/raisin-variety-prediction

The "Raisin Variety Prediction" project involves data analysis, cleaning outliers, preprocessing data, and training machine learning models for predicting raisin varieties. The best-performing model is chosen based on accuracy scores for deployment.

classification-algorithm data-science machine-learning machine-learning-algorithms

Last synced: 02 Mar 2025

https://github.com/atharvapathak/lead_scoring_case_study

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.

classification classification-algorithm exploratory-data-analysis lead-scoring logistic-regression machine-learning outlier-detection pca python random-forest

Last synced: 15 Apr 2026

https://github.com/birkagal/diabetes-classifier

🩺 Powered by Machine Learning algorithms, web-app to help find early stage diabetes prediction.

classification-algorithm classification-model decision-tree flask machine-learning multilayer-perceptron-network perceptron python3

Last synced: 15 Apr 2026

https://github.com/antononcube/wl-rocfunctions-paclet

Wolfram Language (aka Mathematica) paclet for Receiver Operation Characteristic (ROC) functions.

classification-algorithm paclet receiver-operating-characteristic roc-curve roc-curves wolfram

Last synced: 12 Feb 2026

https://github.com/kalana99/190530h_ml_mini_project

A Mini project to critically evaluate various classifier models along with feature engineering techniques.

classification-algorithm feature-engineering feature-extraction feature-selection hyperparameter-tuning kaggle-competition machine-learning pca

Last synced: 16 Apr 2026

https://github.com/kush1912/neural-networks

This repository consists of all the assignments i have done as a part of the neural networks lab which was a part of my curriculum.

bpnetwork classification-algorithm keras-tensorflow kmeans-algorithm neural-network perception regression-algorithms svm

Last synced: 15 Feb 2026

https://github.com/fadhiildzaki/bank_deposit_prediction

This project showcases an end-to-end data science solution to predict whether a client will subscribe to a term deposit based on historical marketing data from a Portuguese banking institution. By leveraging machine learning algorithms, the project aims to improve the efficiency and effectiveness of marketing campaigns.

classification-algorithm data-analyst data-science data-visualization machine-learning python statistical-analysis supervised-learning

Last synced: 15 May 2026

https://github.com/hrolfrc/calf-milp

Milp feature section and hypercube vertex weights inspired by calf

classification-algorithm

Last synced: 10 Mar 2026

https://github.com/shridhar1504/cancer-prediction-datascience-project

The Cancer Prediction and Classification project aims to develop a Machine Learning based system for the prediction of the Diagnosis of the Cancer.

classification-algorithm classification-models data-science machine-learning supervised-learning

Last synced: 20 Jun 2025

https://github.com/iececchetti/activityrecognitionoriginal

An Android Activity Recognition app, able to catch action as run, walking, standing, sweeping, vacooming etc.. Read the wiki for other info

activerecord activity activity-recognition activity-recognition-transition android android-app android-application classification classification-algorithm java microsoft-band-2 recognition sensors

Last synced: 16 Apr 2026

https://github.com/adamrossnelson/conmtrx

Produces confusion matrix and related statistics.

bayes bayesian-inference classification-algorithm stata

Last synced: 04 Mar 2026

https://github.com/jibbs1703/loan-approval-prediction

This repository contains a Loan Approval Prediction Model. The model predicts the likelihood of loan approval based on applicant data. The model deployment is done using FastAPI to allow applicant data to be entered in order to obtain an approval prediction.

api-endpoints aws-ec2 aws-s3 classification-algorithm fastapi feature-engineering feature-selection loan-approval-prediction model-deployment model-training-and-evaluation

Last synced: 04 Apr 2026

https://github.com/victorlcastro-dsa/bank-marketing-term-deposit-classifier

This project focuses on predicting customer subscription to term deposits using historical data from direct marketing campaigns. By analyzing features from the dataset, the goal is to develop a predictive model that helps optimize marketing strategies and improve campaign efficiency.

bank-marketing-analysis classification-algorithm model-prediction project-based-learning

Last synced: 04 Jun 2026

https://github.com/gattsu001/telecom-churn-predictor

Predicts which telecom customers are likely to churn with 95% accuracy using engineered features from usage, billing, and support data. Implements Sturges-based binning, one-hot encoding, stratified 80/20 train-test split, and a two-level ensemble pipeline with soft voting. Achieves 94.60% accuracy, 0.8968 AUC, 0.8675 precision, 0.7423 recall.

churn-prediction classification classification-algorithm customer-retention data-science data-visualization feature-engineering joblib jupyter-notebook machine-learning pandas scikit-learn supervised-learning svm

Last synced: 18 Apr 2026

https://github.com/shridhar1504/churn-prediction-using-pca-datascience-project

This project predicts customer churn in a bank using Principal Component Analysis (PCA). This can be helpful for churn prediction, as it can help to identify the most important features that contribute to customer churn.

classification-algorithm classification-models data-science dimensionality-reduction machine-learning principal-component-analysis supervised-learning

Last synced: 09 Apr 2025

https://github.com/faizantkhan/machine-learning

Machine Learning Practice and Exercises Welcome to our repository dedicated to the practice and mastery of machine learning (ML) concepts and techniques. This repository serves as a comprehensive resource for learners and enthusiasts looking to enhance their ML skills through hands-on exercises and practical applications.

classification-algorithm clustering-algorithm data-science datavisualization decision-trees eda linear-regression logistic-regression machine-learning machine-learning-algorithms machine-learning-library math matplotlib-pyplot model-selection pandas python sklearn-library testing-data training-data

Last synced: 18 Apr 2026

https://github.com/darwincamahalan/human-age-gender-classification

A age and gender identifier machine learning desktop application for CCTV cameras in shopping malls

cafe classification-algorithm computer-vision facial-recognition machine-learning opencv python

Last synced: 19 Apr 2026

https://github.com/tar3q-az1z/spoj-solutions

contains the solutions of problems from spoj

classification-algorithm cplusplus dp spoj spoj-solutions

Last synced: 06 Jun 2026

https://github.com/gakas14/healthcare_diabetes

Build a model to accurately predict whether a patient in the dataset has diabetes or not.

classification-algorithm healthcare knn-classification logistic-regression machine-learning svm xgboost

Last synced: 20 Sep 2025

https://github.com/dahmansphi/bireyselvalue_v1

TEST ON THE BireyselValue ALGORITHM FOR CLASSIFICATION PROBLEMS

ai classification-algorithm machine-learning-algorithms

Last synced: 10 Aug 2025

https://github.com/holygrease/algorithm-id3

Decision tree learning is a method for approximating discete-valued target functions, in which the learned function is represented by a decision tree.

classification classification-algorithm

Last synced: 27 Jul 2025

https://github.com/marta-barea/mlp-sonar-classifier

A simple project to train and evaluate two multilayer perceptron models on the Sonar data using TensorFlow, SciKeras, and Scikit-Learn — one without data standardization and another with standardized input data.

classification-algorithm deep-learning multilayer-perceptron python sonar-dataset

Last synced: 18 Sep 2025

https://github.com/somjit101/ds-knn-k-fold-cv

An implementation of the **k-Nearest Neighbours Classification Algorithm** using some popular demo datasets.

classification-algorithm cross-validation cross-validation-scores k-fold-cross-validation k-nearest-neighbor-classifier k-nearest-neighbors k-nearest-neighbours knn-classifier

Last synced: 15 Aug 2025

https://github.com/tin-cat/smax

Content maturity rating method for artistic social communities

algorithm algorithms classification classification-algorithm classification-algorithms classification-methods

Last synced: 18 Jun 2025

https://github.com/ap-atul/pima-indians-diabetes

Pima Indians Diabetes Classification with custom Naive Bayes

classification-algorithm naive-bayes-classifier pima-indians-diabetes

Last synced: 18 Aug 2025

https://github.com/francescopiocirillo/bayesian-map-vs-logistic-regression

Binary classification project in Python comparing a MAP classifier (with known distributions) vs. logistic regression. Includes analytical posterior derivation, Monte Carlo simulation, and gradient-based training. Focus on error probability, variance impact, and model performance.

bayesian-classifier binary-classification classification-algorithm data-science gradient-descent jupyter-notebook logistic-regression machine-learning map-estimation monte-carlo-simulation probabilistic-models python statistical-modeling supervised-learning

Last synced: 17 May 2026

https://github.com/tharuneshwar-s/resumerevealer

ResumeRevealer is an advanced tool designed for HR professionals, recruiters, and hiring managers to streamline the process of resume parsing and candidate evaluation. It offers a comprehensive solution to extract valuable insights from diverse resume formats, standardize job titles, and mine detailed skills from project descriptions.

classification-algorithm jupyter-notebook nlp nltk o-net onevsrestclassifier pdf-reader python scap sentence-transformers space

Last synced: 28 Apr 2026

https://github.com/audrbar/ml-sports

A Supervised Machine Learning Project for Text Classification

classification-algorithm mashine-learning neural-network python

Last synced: 24 May 2026

https://github.com/holygrease/algorithm-k-nn

k-NN methods assign the classification of new example most similar to the classification of k nearby training examples.

classification classification-algorithm

Last synced: 22 Aug 2025

https://github.com/rakibhhridoy/breastcanceranalysis-classificationclustering

Breast cancer prediction both in classification and clustering method for better understanding the data. Though clustering is different from classification,to finding the key aspect the data have,sometimes we need every possible way to catch behavior of the data.

breast-cancer-prediction breastcancer-classification classification classification-algorithm clustering eda hyperparameter-optimization machine-learning python scikit-learn supervised-learning unsupervised-learning

Last synced: 14 Apr 2026

https://github.com/yixin0829/multi-label-wine-quality-classification

Multi-label wine classification ML project trained using Kaggle wine quality dataset :bar_chart:

analysis classification-algorithm data-science exploratory-data-analysis machine-learning python sklearn

Last synced: 08 May 2026

https://github.com/hrolfrc/score-regression

Classifier that maximizes score as a function of features.

classification-algorithm

Last synced: 25 May 2026

https://github.com/aaleksandraristic/intelligent-ecg-diagnostic-system-based-on-cnn-models

Implement an intelligent diagnostic system capable of accurately classifying cardiac activity. By analyzing ECG images or electronic readings, the system aims to detect various abnormalities, including distinguishing normal vs. abnormal heartbeats, identifying myocardial infarction (MI) and its history, and assessing the impact of COVID-19.

classification-algorithm cnn-keras cnn-model convolutional-neural-networks deep-learning deep-neural-networks ecg-classification ecg-signal image-classification image-preprocessing machine-learning resnet resnet-50 vgg16 vgg16-model

Last synced: 14 Apr 2026

https://github.com/sogeking-nul/spam_sms_classification

spam detection model made by testing dataset on various regression algos

classification-algorithm incentix machine-learning nltk python streamlit

Last synced: 07 May 2026

https://github.com/christiandarvs/smartcents-algorithm

The SmartCents Algorithm utilizes classical machine learning techniques to recommend financial literacy modules to students based on their responses to a set of questions.

classification-algorithm machine-learning sklearn

Last synced: 02 Jan 2026

https://github.com/chandkund/predicting-student-grades

This project predicts student grades (G1, G2, G3) based on various features such as demographic information, study habits, family background, and other academic factors. The aim is to develop a predictive model that can assist in identifying students who may need additional support.

classification-algorithm ensemble-learning exploratory-data-analysis machine-learning matplotlib numpy pandas regression-models seaborn

Last synced: 29 Apr 2026