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Projects in Awesome Lists tagged with classification-algorithims

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

https://github.com/lucko515/breast-cancer-classification

This project is to test classification algorithms wrote from scratch in python using only numpy. Algorithms wrote in this project: KNN, Logistic Regression and Naive Bayes classifier.

breast-cancer-wisconsin classification classification-algorithims machine-learning

Last synced: 14 Apr 2025

https://github.com/mardavsj/mushroom-classification

This repository classifies mushrooms as poisonous or edible using various machine learning algorithms

classification-algorithims decision-tree-classifier machine-learning-algorithms naive-bayes-classifier python support-vector-machine

Last synced: 08 Apr 2025

https://github.com/rakibhhridoy/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.

catvsdog-classifier classification-algorithims deep-learning flask flask-application python tensorflow webapp

Last synced: 14 May 2025

https://github.com/datarohit/pima-indians-diabetes-classification

This is a very popular Kaggle Dataset for practicing Classification and EDA. A detailed Statistical Analysis with EDA and many Plots has been done.

classification-algorithims classification-model machine-learning-algorithms matplotlib-pyplot numpy pandas seaborn sklean

Last synced: 09 Apr 2025

https://github.com/darshan12345678910/air-quality-prediction-ml-algorithms

AirPredict AQI prediction using classification algorithm

classification-algorithims gradio-interface numpy pandas

Last synced: 23 Nov 2025

https://github.com/khyatimahendru/balancing-data-smote

In this project, I have worked on the problem of Credit Card Fraud Detection. The data is highly imbalanced with the positive class (fraud) accounting merely for 0.172% of the data. In classification problem balancing your data is extremely important. Here I have described how accuracy should not be the only criteria to judge model performance.

classification classification-algorithims data-science imbalanced-data machine-learning smote

Last synced: 07 Apr 2025

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

Atividades da formação em Machine Learning da Alura

classification-algorithims jupternotebook machine-learning python

Last synced: 02 Jul 2025

https://github.com/traore-07/supervised-learning-models

Supervised learning is a machine learning technique where the algorithm is trained on a dataset with both input features (independent variables) and corresponding output labels (dependent variables). It uses labeled datasets to train algorithms to predict outcomes and recognize patterns.

classification classification-algorithims machine-learning machine-learning-algorithms regression regression-algorithms supervised-learning

Last synced: 12 Jun 2025