Projects in Awesome Lists tagged with sklean

https://github.com/yunshuipiao/SWBlog

machine learning practitioner， android and python

ai-first machine-learning-algorithms python sklean tensorflow

Last synced: 15 May 2025

https://github.com/garcane/ethereum-prediction-ml

A machine learning project that predicts the future price of Ethereum (ETH) using the price data gathered from coincodex.com.

crypto cryptocurrency ethereum jupyternotebook lstm lstm-neural-networks machine-learning machine-learning-algorithms python scikit-learn scikitlearn-machine-learning sklean svm tensorflow

Last synced: 10 Apr 2026

https://github.com/gappeah/ethereum-prediction-ml

A machine learning project that predicts the future price of Ethereum (ETH) using the price data gathered from coincodex.com.

crypto cryptocurrency ethereum jupyternotebook lstm lstm-neural-networks machine-learning machine-learning-algorithms python scikit-learn scikitlearn-machine-learning sklean svm tensorflow

Last synced: 16 Jan 2026

https://github.com/kientech/crop-recommendation-with-machine-learning

The Crop Recommendation with Machine Learning project is designed to assist farmers and agricultural professionals in selecting the most suitable crops for their specific environmental conditions.

fastapi machine-learning modeling numpy pandas python reactjs sklean

Last synced: 22 Mar 2025

https://github.com/malleswarigelli/chest_disease_image_classification_

Build end-to-end DL pipeline for computer vision (Image classification) for “Chest Disease Classification from Chest CT Scan Images” and deploy Flask web app to AWS EC2 with Docker and CI/CD tool: Jenkins

aws-ec2 aws-ecr ci-cd cnn-image-classification custom-exceptions deep-learning docker dvc-pipeline gdown gdrive github-workflows jenkins keras-tensorflow logging mlflow-model mlflow-tracking pandas sklean vgg16-model

Last synced: 15 Apr 2026

https://github.com/maddieemihle/cryptoclustering

Using K-means clustering to predict if cryptocurrencies are affected by 24-hour or 7-day price changes. Also to investigate the impact of dimensionality reduction using PCA on clustering outcomes.

hvplot kmeans-clustering machine-learning pca-analysis python sklean unsupervised-learning