adaboost-regressor

There are 0 repository under adaboost-regressor topic.

Irlll / house-rental-prediction-machine-learning
Proyek pertama predictive analytics untuk membangun model machine learning yang dapat memprediksi harga sewa rumah dan apartement di India.
house-price-prediction machine-learning machine-learning-projects predictive-modeling machine-learning-terapan dicoding machine-learning-terapan-dicoding adaboost adaboost-regressor k-nearest-neighbours k-nearest-neighbours-regressor machine-learning-model random-forest random-forest-regressor regression-models
Language:Jupyter Notebook 7
LuluW8071 / Laptop-Price-Prediction
A collection of machine learning models for predicting laptop prices
laptop-price-prediction machine-learning python adaboost-regressor decision-tree-regression ensemble-learning extra-tree-regressor gradient-boosting-regressor knn-regression lasso-regression multiple-linear-regression random-forest-regression ridge-regression stacking-ensemble svm-regressor voting-regressor xgboost-regression sckiit-learn streamlit
Language:Jupyter Notebook 2
bala-1409 / Price-Prediction-for-Used-Cars-Datascience-Project
This project uses machine learning to predict the price of a used car. The model is trained on a dataset of historical car sales data, and it can then be used to predict the price of a car based on its features.
adaboost-regressor data-science kaggle-dataset machine-learning price-prediction regression regression-model supervised-learning used-cars-price-prediction
Language:Jupyter Notebook 1
davutbayik / Food-Delivery-Time-Prediction
Food Delivery Time Prediction using Machine Learning
adaboost-regressor decision-tree-regression exploratory-data-analysis feature-engineering hyperparameter-tuning machine-learning machine-learning-algorithms random-forest-regression xgboost-regression food-delivery-time-prediction
Language:Jupyter Notebook 1
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
Diamond-Price-Modelling-Based-on-Their-Attributes
msikorski93 / Diamond-Price-Modelling-Based-on-Their-Attributes
The purpose of this notebook is to develop an automated function to predict the price of a diamond based on its given features (cut, color, dimensions, etc.). We will create a machine learning model which can estimate these values. We need to find continuous data, so we will perform a regression task. We will use supervised learning to find the prices.
adaboost-regressor exploratory-data-analysis knearest-neighbor-algorithm polynomial-regression random-forest regression-analysis
Language:Jupyter Notebook 0
Niru8449 / SuccessSage
Developed student performance predicting model, showing strong understanding of predictive modeling techniques.
adaboost-regressor catboostregressor data-cleaning-and-preprocessing decision-tree-regression exploratory-data-analysis kneighborsregressor lasso matplotlib randomforestregressor randomizedsearchcv regression-models ridge seaborn sklearn svr xgboost-regression
Language:Jupyter Notebook 0
ShreyaPatil1199 / Big_Mart_Sales_Prediction
Big Mart Sales Prediction is a data-driven project aiming to forecast product sales accurately across Big Mart outlets. Leveraging machine learning and comprehensive datasets, our project empowers retailers to optimize inventory, enhance profitability, and make informed decisions in the dynamic world of retail.
adaboost-regressor comparison correlation-analysis decision-tree-regression exploratory-data-analysis extreme-gradient-boosting gradient-boosting-regressor lasso-regression linear-regression random-forest-regression ridge-regression
Language:Jupyter Notebook 0
ShreyaPatil1199 / Data_Science_Salary_Prediction
The objective of the project is to conduct a comprehensive analysis of a dataset of data science job postings, identifying the most important factors that influence salaries. Build predictive models that can be used to predict salaries for data science professionals, taking into account factors such as experience level, education, skills etc.
adaboost-regressor data-cleaning decision-tree-regression exploratory-data-visualizations extreme-gradient-boosting-regressor gradient-boosting-regressor multiple-linear-regression random-forest-regressor ridge-regression
Language:Jupyter Notebook 0
ShreyaPatil1199 / Laptop-Price-Predictor
Predict laptop prices using machine learning. This project leverages multiple linear regression to achieve an 82% prediction precision. Explore the influence of features like brand, specs, and more on laptop prices.
adaboost-regressor data-analysis-python data-extraction data-visualization decision-tree-regression exploratory-data-analysis gradient-boosting-regressor jupyter-notebook linear-regression machine-learning outlier-removal outliers-detection random-forest-regressor ridge-regression extreme-gradient-boosting-regressor
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
dyavadi8769 / Student_Performance_Indicator_AWS_CI-CD_ML_Project
This repository contains a machine learning model aimed at predicting student performance across various metrics. Utilizing a diverse set of Machine Learning Regression algorithms, the model predicts scores based on demographic and academic variables.This project demonstrates robust approach to leveraging machine learning for educational outcomes.
accessibility adaboost-regressor aws aws-beanstalk aws-ec2 catboost-regressor decision-tree-regression docker-image exploratory-data-analysis gradient-boosting-regressor linear-regression model-evaluation random-forest-regression xgboost-regressor
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