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.
Predict NYC taxi travel times (Kaggle competition)
A recommendation system based on Artificial Intelligence to predict best-fit color palettes according to user input
My exercises in the machine learning course
sklearn, tensorflow, random-forest, adaboost, decision-tress, polynomial-regression, g-boost, knn, extratrees, svr, ridge, bayesian-ridge
Source for the book Computer Science from Scratch
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
A k-nearest neighbors algorithm is implemented in Python from scratch to perform a classification or regression analysis.
Assignments of the ML Course at IIT Gandhinagar
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
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."