bagging-regressor

There are 0 repository under bagging-regressor topic.

ZeeshanKhalid2k01 / Bagging
Bagging is the term from "Bootstrap Aggregation Algorithm", That is for Low Bias & Low Variance
bagging bagging-classifier bagging-ensemble bagging-regressor bagging-trees baggingalgorithms
Language:Jupyter Notebook 1
Aliabdurahman / Prediction-of-crop-Production-in-India
The dataset provides information on crop production in India from 1997 to 2015. The Crop Production was predicted using Decision Tree Regressor, K Neighbours Regressor, Bagging Regressor, Random Forest Regressor and Gradient Boosting Regressor
bagging-regressor decision-tree-regression gradient-boosting-regressor k-nearest-neighbours-regressor machine-learning random-forest
Language:Jupyter Notebook 0
bernatsort / Barcelona_house_price_prediction
Predicción del precio de venta de las viviendas en venta y de las viviendas en alquiler de Barcelona.
bagging-regressor catboost-regressor exploratory-data-analysis house-price-prediction machine-learning random-forest-regressor shap-values
Language:Jupyter Notebook 0
kpsijil2 / Cement-Manufacturing
Predicting cement strength
accuracy adaboost-regressor bagging-regressor decision-tree-regression ensemble feature-importance gradient-boosting-regressor gridsearchcv kfold-cross-validation knn-regression matplotlib numpy pandas python random-forest-regression seaborn sklearn support-vector-regression xgboost-regression
Language:HTML 0
MaoIlich / Project-4-Feature-Selection_Model-Selection-and-Tuning
Goal is to predict the concrete compressive strength using collected data
gridsearchcv randomizedsearchcv linearregression bagging-regressor random-forest-regressor gradient-boosting-regressor xgboost-regression lgbmregressor
Language:Jupyter Notebook 0
PashaDEVAcc / Housing-prices-ml
bagging-regressor housing-prices-competition kaggle kaggle-competition machine-learning python sklearn
Language:Jupyter Notebook 0
rociobenitez / AirbnbPricingModel
A Machine Learning exploration evaluating various models to predict Airbnb prices, culminating in an optimized Gradient Boosting Regressor.
bagging-regressor gradient-boosting-regressor lasso-regression-model machine-learning machine-learning-algorithms models prediction-model predictive-modeling random-forest-regression regression-models regression-trees
Language:HTML 0
RohitG57 / Taxi-Fare-Prediction
Aim of this project is to predict taxi fare based on available data. This dataset contains total 8 variables and 50000 indexes.
bagging-regressor decision-tree-regression extra-tree-regressor feature-engineering random-forest-regression regression-models
Language:Jupyter Notebook 0
srushtii-m / Flight-fares-and-delay-prediction
Analysis of flight systems to check the effectiveness of using Twitter data in conjunction with traditional datasets to improve predictions.
bagging-regressor data-augmentation data-mining delay-prediction exploratory-data-analysis predictive-modeling random-forest regression-models sentiment-analysis twitter-api
Language:Jupyter Notebook 0
sujaypuvvadi / Pre-Owned-Cars-Price-Estimation-and-Analysis
This project provides the best possible price of a used car by taking attributes such as Manufactured Year, Number of Cylinders, Condition, and many more as inputs. Out of all models tested, the Random Forest model predicted the prices closest to the prices listed on Craigslist. Developed a web app using the Flask API for the deployment of this project.
python ml python3 machine-learning cars used-cars estimation flask webapi html css bootstrap website jupyter-notebook random-forest bagging-regressor linear-regression xgboost
Language:Jupyter Notebook 0
swarna0712 / Of-Genomes-and-Genetics-Data-Analytics
Predicting genetic disorder and disorder subclass based on familial history and its effects
data-science data-visualization dataanalytics data-analysis data-mining prediction-model prediction genesis-child-theme genetics genomics disorder subclass svm-classifier xgboost ensemble bagging-regressor logistic-regression decisiontreeclassifier random-forest eda
Language:Jupyter Notebook 0
vicaaa12 / simple-regression-Predict-Movie-Rental-Duration
machine learning regression
bagging-regressor bootstrap-aggregation decision-tree-regression ensemble-machine-learning feature-selection hyperparameter-tuning lasso-regularization linear-regression model random-forest-regression randomsearch-cv regression
Language:Jupyter Notebook 0
Akash1070 / Predicting-Compressive-Strength-Of-Concrete-Model
Predicting Compressive Strength of Concrete
python3 adaboost-regressor bagging-regressor decisiontreeregressor kneighborsregressor svm-model xgboost
Language:Jupyter Notebook
sean-atkinson / supervised_learning_models
This mini-project involves experimenting with a variety of classification and regression models, exploring different techniques to understand their behaviors and applications in predictive analytics.
adaboost-classifier bagging-regressor decision-tree-classifier decision-tree-regression knn-classifier knn-regressor linear-regression logistic-regression random-forest-classifier random-forest-regressor support-vector-classifier support-vector-regressor adaboost-regressor bagging-classifier mini-project predictive-analytics python scikit-learn
Language:Jupyter Notebook
Zauverer / Random-Forest
bagging-regressor decision-tree-regression gridsearchcv random-forest-regressor mean-square-error mae r2-score
Language:Jupyter Notebook