banku50/inference-gateway

An open-source, high-performance gateway unifying multiple LLM providers, from local solutions like Ollama to major cloud providers such as OpenAI, Groq, Cohere, Anthropic, Cloudflare and DeepSeek.

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mikel-brostrom/Housing_Price_Prediction

California housing price prediction with NN, Random Forest and Linear Regression

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NeuroByte-Consulting/Linear-Regression-using-Python-and-Sklearn

The "Linear Regression in Machine Learning using Python and Sklearn" article's source code

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Sara-Esm/California-Housing-Dataset-PyTorch

California Housing Data Analysis

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Bhuvan-S-prasad/streamlit-regression

A machine learning project that predicts housing prices in California using regression techniques. This project includes comprehensive exploratory data analysis, feature engineering, linear regression modeling, and an interactive Streamlit web application for making predictions.

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PhenomSG/California-House-Price-Prediction

This project explores the impact of various features on house prices in California

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ankur715/Machine_Learning

ML, NN, NLP, ARIMA, clustering, classification, mapping

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aws-samples/amazon-sagemaker-xgboost-regression-model-hosting-on-aws-lambda-and-amazon-api-gateway

How to train a XGBoost regression model on Amazon SageMaker, host inference on a serverless function in AWS Lambda and optionally expose as an API with Amazon API Gateway

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aws-samples/amazon-sagemaker-xgboost-regression-model-hosting-on-amazon-ecs-fargate-and-amazon-api-gateway

How to train a XGBoost regression model on Amazon SageMaker, host inference on a Docker container running on Amazon ECS on AWS Fargate and optionally expose as an API with Amazon API Gateway.

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dilne/CaliforniaHousing

California Housing Price Prediction - Linear Regression, Support Vector Regression, Decision Trees, and Random Forest Regression

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salim-benhamadi/predicting-house-prices

Predicting California Housing Prices using Decision Tree Regressor

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kfmatovic716/CA-HOME-PRICE-PREDICTIONS---Final-Project

Create a platform that will predict a house price based on a user-input zip code and house type

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NisAr-PakhtoOn/California-housing-prediction

California house price prediction is done in this notebook

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aws-samples/amazon-sagemaker-xgboost-regression-model-monitor-and-alerting

How to train, deploy and monitor a XGBoost regression model in Amazon SageMaker and alert using AWS Lambda and Amazon SNS. SageMaker's Model Monitor will be used to monitor data quality drift using the Data Quality Monitor and regression metrics like MAE, MSE, RMSE and R2 using the Model Quality Monitor.

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Precioux/Computational-Intelligence-Projects

Computational Intelligence Course - Spring 2023

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cknin9/ML-California-House-Prediction

Using machine learning (tree-based methods) to predict prices of housing in California

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BALAJIHARIDASAN/Machine-Learning-project-end-to-end

This project is full scale end to end Machine learning project that used to predict the price of the california housing dataset

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rjnp2/California-Housing-Price-Prediction

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UditSharma9999/California_housing_prediction_using_tensorflow

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aws-samples/amazon-sagemaker-xgboost-regression-model-hosting-on-aws-app-runner

How to train a XGBoost regression model on Amazon SageMaker and host inference as an API on a Docker container running on AWS App Runner.

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nadavWeisler/PricePredictionSklearn

Build as part of "Building Your First scikit-learn Solution" Pluralsight course.

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ellieflgr/CaliforniaHousingPricesML

This is an educational workthrough project from the book "Hands-On ML with Scikit-Learn, Keras and TensorFlow" by Aurélien Géron. It is based on the well-known "California Housing Prices" dataset - through feature engineering I successfully improved the performance of the model used in the book.

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kbmclaren/tensorFlow-CMSC478-ML

Get started with Tensorflow/Keras API.

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Nikoletos-K/Ridge-regression-for-California-Housing-Dataset

🏡💲 Stochastic, full and mini-batch gradient descent for ridge regression using California Housing Dataset

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itirkaa/CaliforniaHousingPrices

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