GitHub topics: regressor
Wb-az/MLib-PySpark-SoundLevel-Prediction
Creates a ML Pipeline leveraging PySpark SQL and PySpark MLib to predict sound level
Language: Jupyter Notebook - Size: 972 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

fatimesevilgen/house-price-prediction-app
🏠 House price prediction app with Random Forest Regressor and using Streamlit for Modern UI.
Language: Jupyter Notebook - Size: 905 KB - Last synced at: 5 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

lalvim/PartialLeastSquaresRegressor.jl
Implementation of a Partial Least Squares Regressor
Language: Julia - Size: 172 KB - Last synced at: 3 days ago - Pushed at: over 2 years ago - Stars: 41 - Forks: 6

madhurimarawat/ML-Model-Datasets-Using-Streamlits
This repository contains my machine learning models implementation code using streamlit in the Python programming language.
Language: Jupyter Notebook - Size: 3.58 MB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 4 - Forks: 4

cellinewilliem/rRegressor Fork of dboesono/rRegressor
An R package that provides flexible and simple machine learning regression predictive models used for supervised learning predictive tasks
Language: R - Size: 977 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

trislett/TFCE_mediation
Fast regression and mediation analysis of vertex or voxel MRI data with TFCE
Language: Python - Size: 110 MB - Last synced at: 7 days ago - Pushed at: about 2 years ago - Stars: 30 - Forks: 9

tk-yoshimura/Regression
Regression Analysis Utility
Language: C# - Size: 29.3 KB - Last synced at: 12 days ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

gianmarco-holm/PY01_MachineLearning_LinearRegression_HousePrices
Técnica de Machine Learning, que genera un modelo de regresión lineal, para predecir los precios de las casas.
Language: Jupyter Notebook - Size: 421 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

lowhung/neural-networks
Experimentation with Neural Networks, as well as recommender systems related to movies.
Language: Jupyter Notebook - Size: 2.16 MB - Last synced at: about 1 year ago - Pushed at: almost 8 years ago - Stars: 1 - Forks: 0

autolordz/fund-data-rank
国内基金数据获取及回归排名
Language: Python - Size: 15.6 KB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

NAMYUNWOO/Weather_prediction_GPR
Weather prediction with Gaussian Process Regression
Language: Jupyter Notebook - Size: 2.34 MB - Last synced at: about 1 year ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 1

lprtk/hybrid-learning-prototype
Exploring hybride learning prototype
Language: Jupyter Notebook - Size: 426 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

ririraissa/AirBnB_Prediction_Segmentation
Data-Driven Price Prediction and Market Segmentation of Air BnB so both host and guest know about the price in the market.
Language: Jupyter Notebook - Size: 19.4 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

gbossi/regressor-for-market-sales
A working forecasting model to optimize promotions and warehouse stocks of one of the most important European retailers
Language: Jupyter Notebook - Size: 1.28 MB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 3 - Forks: 2

Mike7831/Yet-Another-Neural-Network-Library
Neural network library in C++
Language: C++ - Size: 11.9 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

YoussefSultan/Predict-Bodyfat-Using-Catboost-Webapp
This repository is comprised of the Exploratory Data Analysis of the Body Fat data set from Kaggle. The feature engineering, hyperparameter tuning, and model training of the model. With comparative outlooks on the prediction vs actual results to understand and determine model accuracy.
Language: Jupyter Notebook - Size: 3.82 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 1

ASHOKKUMAR-K/Weight_Prediction
It is an End to End Data Science project using Linear Regression Machine Learning model.
Language: HTML - Size: 189 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 5

LamFra/AEGADT
Application and Evaluation of Genetic Algorithms on Decision Trees. A project for the course of Software Dependability at University of Salerno.
Language: Python - Size: 2.25 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Arminkhayati/Machine_learning_lec
My Machine Learning course projects
Language: Jupyter Notebook - Size: 13.6 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

cruz-marco/50_startups
Gradient Boosting prediction for the profit of 50 american startups
Language: Jupyter Notebook - Size: 66.4 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

anirudhrealdeal/DragonRealEstate
Machine Learning model to predict the price of a house taking a few parameters like crime rate, number of rooms etc. Uses a pre-existing dataset from the UCI ML repository for training the model.
Language: Jupyter Notebook - Size: 948 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

MohammadAsadolahi/tensorflow-2.0-simple-linear-regression-whitout-keras
Simple linear regressor that tries to approximate a simple function deployed in Tensorflow 2.0 without Keras
Language: Jupyter Notebook - Size: 95.7 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

alexwilliam1/IS_Notebooks
Intelligent systems Jupyter notebooks.
Language: Jupyter Notebook - Size: 323 KB - Last synced at: about 1 month ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

lucrieffel/Kaggle-Competition-House-prices-Advanced-Regression-techniques
I participated in a Kaggle competition where I used a random forest regressor and hyper-parameter tuned my model to most accurately predict the sale price of a home based on multiple characteristics and features.
Language: Jupyter Notebook - Size: 28.3 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0

stabgan/Random-Forest-Regression
Applied the Random Forest model in my Regressor model both in Python and R
Language: R - Size: 4.88 KB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0
