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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

Related Keywords
regressor 25 machine-learning 8 python 6 regression 5 linear-regression 5 classifier 4 pandas 4 machine-learning-algorithms 3 scikit-learn 3 random-forest 3 decision-tree-regression 3 decision-tree 3 numpy 3 regression-models 3 random-forest-regressor 2 machine 2 knn 2 learning 2 supervised-learning 2 sklearn 2 ensemble-learning 2 function-approximation 2 data-science 2 correlation-analysis 1 data-preprocessing 1 lightgbm 1 boost 1 xgboost 1 artificial-intelligence 1 c-plus-plus 1 deep-learning 1 feedforward-neural-network 1 multi-layer-perceptron 1 body 1 prediction-algorithm 1 multi-layer-perceptron-classifier 1 neural-network 1 fund-api 1 fund-data 1 fund-management 1 funds 1 jijin 1 mathematics 1 public-funding 1 python-batch 1 gaussian-process-regression 1 weather-prediction 1 combined-models 1 hybrid-learning 1 library 1 airbnb 1 clustering 1 datascience 1 machinelearning-python 1 prediction 1 data-analysis 1 data-mining 1 cat 1 kernel-pca 1 kpca 1 m1 1 tic-tac-toe 1 gradient-boosting 1 scipy-stats 1 ml 1 price-prediction 1 training 1 function-approximator 1 gradient-descent-algorithm 1 tensorflow2 1 classification 1 cnn 1 jupyter 1 tensorflow 1 kaggle-competition 1 forest 1 rails 1 fat 1 fitness 1 health 1 percentage 1 deployment 1 flask 1 flask-api 1 flask-application 1 heroku 1 heroku-app 1 heroku-deployment 1 simple-linear-regression 1 weight-prediction 1 decision-trees 1 genetic-algorithm 1 adaboost 1 bagging 1 decision-tree-classifier 1 kernel-knn 1 linear-algorithm 1 multivariate-analysis 1 nipals 1 partial-least-squares-regression 1