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Projects in Awesome Lists tagged with ml-models

A curated list of projects in awesome lists tagged with ml-models .

https://github.com/faizanzaheergit/studentperformanceprediction-ml

This is a simple machine learning project using classifiers for predicting factors which affect student grades, using data from CSV file

ai-ml artificial-intelligence artificial-intelligence-projects csv-files data-science machine-learning machine-learning-projects ml-models python python3

Last synced: 10 Sep 2025

https://github.com/explosion/spacy-huggingface-hub

🤗 Push your spaCy pipelines to the Hugging Face Hub

huggingface machine-learning ml-models models natural-language-processing nlp spacy

Last synced: 19 Oct 2025

https://github.com/virajbhutada/spotify-track-analysis-and-recommendation

Experience a comprehensive exploration of Spotify's musical landscape seamlessly transitioned from Tableau visualizations to SQL analysis. Dive into track inventory, streaming metrics, and sonic trends via interactive dashboards, while leveraging SQL queries for deeper insights into KPIs and cross-platform rankings.

audio-analysis data-analysis data-analytics data-science data-visualization eda machine-learning-library ml-models mysql recommendation-system spotify spotify-data spotify-dataset sql-database sql-server streaming-metrics tableau tableau-public trends-analysis

Last synced: 28 Apr 2025

https://github.com/mongoexpuser/synthetic-drilling-data-app-for-sqlite-ml

Generate synthetic drilling data that can be used for testing machine learning (ML) models.

classification data drilling events inference machine-learning ml-models node-sqlite3 nodejs prediction python sqlite3 training

Last synced: 08 Apr 2026

https://github.com/abdullahashfaqvirk/Amazon-Laptop-Price-Prediction

Developed an Amazon laptop price prediction tool using machine learning algorithms, integrated with a Streamlit app for an interactive user experience.

amazon data-science machine-learning ml-algorithms ml-models prediction-model python streamlit tool

Last synced: 11 May 2025

https://github.com/akhileshthite/healthyme-ai

Predict diseases with the help of AI to save cost, time, and to prevent misdiagnosis.

flask flask-application healthcare-application html-css-javascript machine-learning ml-models python

Last synced: 31 Oct 2025

https://github.com/elysian01/ml-eda-and-modelling-using-streamlit

Beautiful Web interface made using Streamlit for quick Exploratory Data Analysis and building classification models which are implemented from scratch.

data-analysis data-visualization eda exploratory-data-analysis knn-classification logistic-regression matplotlib ml-model-on-web ml-models naive-bayes-classifier pandas seaborn streamlit streamlit-webapp

Last synced: 12 Apr 2025

https://github.com/scifer99/convolutional-neural-network-example

This is an example Convolutional Neural Network ML model as a solution for various Classification use cases!

copyright ibm-watson image-classification-algorithms machine-learning-algorithms machine-learning-engineering ml-model-development ml-models

Last synced: 17 Jun 2026

https://github.com/virajbhutada/article-recommendation-system

This project aims to redefine content discovery by delivering personalized article recommendations tailored to individual user preferences. We use advanced machine learning techniques like PCA and K-means clustering to analyze user behavior and article characteristics to provide highly accurate recommendations.

anaconda article-recommendation clustering-algorithm data-analysis data-science keras-tensorflow machine-learning machine-learning-algorithms ml-models numpy pandas plotly python scikit-learn scipy

Last synced: 06 Jan 2026

https://github.com/virajbhutada/ML-projects

A collection of machine learning mini-projects and analyses developed using Jupyter Notebook. Each project demonstrates practical applications of machine learning algorithms on a variety of datasets, covering techniques from exploratory data analysis (EDA) to model training and evaluation.

business-analytics clustering data-science decision-trees linear-regression machine-learning-algorithms ml-models prediction stock-price-prediction supervised-machine-learning unsupervised-machine-learning

Last synced: 16 Sep 2025

https://github.com/dmslakmal/inflationpredictormodel

This project aims to forecast inflation rates using machine learning techniques. Leveraging historical economic data on GDP and unemployment rates, the model provides predictions for future inflation trends.

machine-learning ml-models neural-network python python-ml python-neural-networks

Last synced: 24 Apr 2026

https://github.com/abhayanigam/machine_learning

Machine Learning Concepts And Models using Octave and Jupyter Notebook

algorithms jupyter-notebook machine-learning machine-learning-algorithms matlab ml-algorithms ml-models model octave

Last synced: 02 May 2026

https://github.com/mrankitgupta/titanic-survival-prediction-93-xgboost

Titanic Survival Prediction Project (93% Accuracy)🛳️ In this notebook, The goal is to correctly predict if someone survived the Titanic shipwreck using different Machine Learning Model & Hyperparameter tunning.

classification data-analysis data-science data-visualization gradient-boosting kaggle-competition linear-regression logistic-regression machine-learning machine-learning-algorithms ml ml-models nlp prediction predictive-modeling random-forest titanic titanic-kaggle titanic-survival-prediction xgboost

Last synced: 06 May 2026

https://github.com/rishisolanke/twitter-sentiment-analysis-using-machine-learning-

A research project that classifies tweets as positive, negative, or neutral using ML algorithms (Logistic Regression, Naïve Bayes, SVM) with NLP preprocessing.

data-science data-visualization logistic-regression machine-learning ml-models naive-bayes natural-language-processing nlp scikit-learn sentiment-analysis svm text-classification twitter-data

Last synced: 06 May 2026

https://github.com/simonskodt/big-data-processes

All weekly exercises in the Spring course Big Data Processes

big-data data-science ethics ml-models

Last synced: 29 Oct 2025

https://github.com/lilivalgo/machine-learning-projects

This repository hosts the machine learning project developed during my learning journey. It showcases my progress and the skills acquired in the field of machine learning

lag-feature linear-regression ml-models scikit-learn scipy-stats seaborn-plots

Last synced: 28 Mar 2025

https://github.com/sameer051022/sklearn_classification_and_regression_models

"A collection of Jupyter notebooks showcasing the implementation of key machine learning algorithms for classification and regression tasks using Python’s sklearn library. This repository includes detailed examples on SVM, KNN, and Logistic Regression models, complete with data preprocessing, parameter tuning, and comprehensive evaluations."

machine-learning ml-models python sklearn-classify

Last synced: 30 Jun 2026

https://github.com/virajbhutada/ml-projects

A collection of machine learning mini-projects and analyses developed using Jupyter Notebook. Each project demonstrates practical applications of machine learning algorithms on a variety of datasets, covering techniques from exploratory data analysis (EDA) to model training and evaluation.

business-analytics clustering data-science decision-trees linear-regression machine-learning-algorithms ml-models prediction stock-price-prediction supervised-machine-learning unsupervised-machine-learning

Last synced: 13 May 2026

https://github.com/dmslakmal/inflation-predictor-ml-flask-app

This repository contains an Inflation Predictor ML Project using Flask. The project aims to predict the inflation rate based on economic indicators such as GDP and the unemployment rate.

economic-forecasting flask flask-application flask-web-application inflation-prediction machine-learning ml-models neural-network python-machine-learning

Last synced: 14 Jun 2026

https://github.com/mpolinowski/sklearn-model-explainability

SHAP (SHapley Additive exPlanations) is a game theoretic approach to explain the output of any machine learning model.

explainable-ml ml-models shap sklearn

Last synced: 03 May 2026

https://github.com/nirmit27/credit-risk-modeling

Classification and regression models for predicting the level of risk associated with extending credit to a borrower and the basic EPS amount respectively.

credit-risk credit-risk-analysis machine-learning ml ml-model ml-models modelling numpy pandas python python3 sckiit-learn

Last synced: 29 Apr 2026

https://github.com/mayankyadav23/red-wine-quality-prediction

Predict the quality of red wine using 💡 Machine Learning models. Features 📊 data preprocessing, 🔍 EDA, and 🧠 models like Random Forest and Linear Regression for precise predictions based on chemical properties. Cheers to data science! 🥂

data-preprocessing exploratory-data-analysis ml-models red-wine

Last synced: 31 Jul 2025

https://github.com/albedim/nlp-face-tuning

Simple repository to get started with fine-tuning and ML models. You can download pre-trained models, fine-tune and test them very easily

ai fine-tuning machine-learning ml-models

Last synced: 14 May 2025

https://github.com/renatomaynard/supervised-machine-learning-models-pytorch-sklearn

This repository provides a comprehensive implementation of supervised machine learning models using PyTorch and Scikit-learn. It includes end-to-end workflows for both classification and regression tasks, covering data preprocessing, model training, evaluation, and comparison between traditional ML models

applied-machine-learning classification data-preprocessing deep-learning feature-engineering machine-learning ml-models ml-pipeline model-comparison model-evaluation python pytorch regression scikit-learn supervised-learning-algorithms

Last synced: 10 May 2026