Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression (via scikit-learn)
-
Updated
Apr 9, 2019 - Python
Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression (via scikit-learn)
Implementation of Regression Models on Navigation with IMUs.
A recommendation system based on Artificial Intelligence to predict best-fit color palettes according to user input
Predict NYC taxi travel times (Kaggle competition)
My exercises in the machine learning course
sklearn, tensorflow, random-forest, adaboost, decision-tress, polynomial-regression, g-boost, knn, extratrees, svr, ridge, bayesian-ridge
My solutions to projects given in the Udemy course: Python for Data Science and Machine Learning Bootcamp by Jose Portilla
I'm attempting the NYC Taxi Duration prediction Kaggle challenge. I'll by using a combination of Pandas, Matplotlib, and XGBoost as python libraries to help me understand and analyze the taxi dataset that Kaggle provides. The goal will be to build a predictive model for taxi duration time. I'll also be using Google Colab as my jupyter notebook.…
asthma-rates.com - predict asthma rates after changes in social policy - Data Science Capstone Project
Boston house price prediction.
A LibreOffice Calc extension that fills missing data using machine learning techniques
All data mining machine learning algorithms are basically coded by displaying solutions with Python
Assignments of the ML Course at IIT Gandhinagar
A k-nearest neighbors algorithm is implemented in Python from scratch to perform a classification or regression analysis.
In this project I have implemented 14 different types of regression algorithms including Linear Regression, KNN Regressor, Decision Tree Regressor, RandomForest Regressor, XGBoost, CatBoost., LightGBM, etc. Along with it I have also performed Hyper Paramter Optimization & Cross Validation.
This repository contains projects related to KNN algorithm using R, Python
In this program, I used the KNN model to estimate Iranian universities' entrance exam (konkur) rank, and I also developed a telegram bot so users could use it.
Transfer Learning Image Classifier knn image tensorflow js
Engineer's Thesis
Add a description, image, and links to the knn-regression topic page so that developers can more easily learn about it.
To associate your repository with the knn-regression topic, visit your repo's landing page and select "manage topics."