regressor
There are 28 repositories under regressor topic.
lalvim/PartialLeastSquaresRegressor.jl
Implementation of a Partial Least Squares Regressor
trislett/TFCE_mediation
Fast regression and mediation analysis of vertex or voxel MRI data with TFCE
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
gbossi/regressor-for-market-sales
A working forecasting model to optimize promotions and warehouse stocks of one of the most important European retailers
madhurimarawat/ML-Model-Datasets-Using-Streamlits
This repository contains my machine learning models implementation code using streamlit in the Python programming language.
sinhabishal77/Kaggle-Bike-Sharing-Demand
Used historical usage patterns with weather data in order to forecast hourly bike rental demand.
RohitLearner/House-Prices-Visualization-Prediction
Predict sales prices and practice different machine learning regressors.
Arminkhayati/Machine_learning_lec
My Machine Learning course projects
ASHOKKUMAR-K/Weight_Prediction
It is an End to End Data Science project using Linear Regression Machine Learning model.
contactnipun/Neural-Nets
Solving Industry based and Solution based problems through Neural Networks
NAMYUNWOO/Weather_prediction_GPR
Weather prediction with Gaussian Process Regression
AnnaShestova/multiple-linear-regression-with-backward-elimination
Multiple linear regression model implementation with automated backward elimination (with p-value and adjusted r-squared) in Python and R for showing the relationship among profit and types of expenditures and the states.
autolordz/fund-data-rank
国内基金数据获取及回归排名
GnanaPrakashSG2004/Statistical-Methods-In-AI-M23
Coursework done as part of the Statistical Methods in AI course offered in Monsoon 2023 by Prof. Ravi Kiran Sarvadevabhatla, IIITH. Topics covered include KNNs, Decision Trees, Dimensionality Reduction, Gaussian Mixture Models, Bagging, Boosting, MLP Classifiers and Regressors, Logistic Regression, Kernel Density Estimation and Hidden Markov Models
lowhung/neural-networks
Experimentation with Neural Networks, as well as recommender systems related to movies.
alexwilliam1/IS_Notebooks
Intelligent systems Jupyter notebooks.
cruz-marco/50_startups
Gradient Boosting prediction for the profit of 50 american startups
LamFra/AEGADT
Application and Evaluation of Genetic Algorithms on Decision Trees. A project for the course of Software Dependability at University of Salerno.
lprtk/hybrid-learning-prototype
Exploring hybride learning prototype
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.
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.
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.
gianmarco-holm/PY01_MachineLearning_LinearRegression_HousePrices
Técnica de Machine Learning, que genera un modelo de regresión lineal, para predecir los precios de las casas.
Mike7831/Yet-Another-Neural-Network-Library
Neural network library in C++
stabgan/Random-Forest-Regression
Applied the Random Forest model in my Regressor model both in Python and R
sumony2j/KNN_Regression
Python implementation of K-Nearest Neighbors (KNN) Regressor for regression tasks. Versatile algorithm for predicting continuous outcomes based on neighboring data points. Suitable for various machine learning applications.
sumony2j/Tree_Regression
Python implementation of Decision Tree Regression and Random Forest Regression. Efficient algorithms for predictive modeling. Ideal for regression tasks in machine learning.
tk-yoshimura/Regression
Regression Analysis Utility