Projects in Awesome Lists tagged with machinelearningalgorithms
A curated list of projects in awesome lists tagged with machinelearningalgorithms .
https://github.com/tanishq-ctrl/house-price-prediction-and-visualization
This repository contains code and data for analyzing real estate trends, predicting house prices, estimating time on the market, and building an interactive dashboard for visualization. It is structured to cater to data scientists, real estate analysts, and developers looking to understand property market dynamics.
catboost catboost-classifier catboostregressor dataanlaytics datavisualization-project housepriceprediction lightgbm lightgbm-classifier lightgbm-regressor machinelearningalgorithms r2score rmse-score xgboost xgboost-algorithm xgboost-classifier
Last synced: 22 Mar 2025
https://github.com/warmachine028/simple-linear-regression
A very basic implementation of linear regression using python
linear-regression machinelearning machinelearning-python machinelearningalgorithms
Last synced: 14 Jun 2025
https://github.com/darkshadowcoder/dl-nlp-sentiment_analysis
Depot de notebook python d'algorithmes de machine Learning nécéssaires à l'analyse de sentiments
deeplearning-notebooks machine-learning machinelearningalgorithms nlp-machine-learning notebooks-jupyter python3
Last synced: 12 Mar 2025
https://github.com/venkat-0706/accenture-hackathon
Developing an e-commerce recommendation system involves utilizing technologies such as Python for programming, Pandas for data manipulation, SQL for database management, FastAPI for building APIs, PostgreSQL for data storage, and Docker for containerization.
alembic api docker fastapi machinelearningalgorithms matplotlib numpy postgresql pydantic python3 scipy seaborn sqlmodel
Last synced: 10 Jun 2025
https://github.com/jigyasag18/gold-price-prediction-project-using-machine-learning
This repository contains a machine learning project focused on predicting gold prices (GLD) using historical stock market data, including indicators such as SPX, USO, SLV, and EUR/USD. The project implements a Random Forest Regressor for accurate price forecasting, complete with data visualization, correlation analysis, and model evaluation metrics
data dataset jupyter-notebook jupyter-notebooks machine-learning machinelearing machinelearningalgorithms machinelearningmodel machinelearningprojects matplotlib mlproject numpy pandas randomforestregressor seaborn
Last synced: 20 Feb 2025
https://github.com/gauravcodepro/neural-network-metagenomics
a function to generate the hidden layers from the given fasta and the expression files. it takes the replicate columns and then calculates the expression and length as a hidden layer. Applying to the transcriptomics, meta transcriptomics and other expression datasets
bioinformatics machinelearning machinelearningalgorithms metagenomics metatranscriptomics neural-network neural-networks
Last synced: 22 Feb 2025
