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)

Source for the book Computer Science from Scratch

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

My solutions to projects given in the Udemy course: Python for Data Science and Machine Learning Bootcamp by Jose Portilla

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.

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

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.

Boston house price prediction.

All data mining machine learning algorithms are basically coded by displaying solutions with Python

This repository contains projects related to KNN algorithm using R, Python

A LibreOffice Calc extension that fills missing data using machine learning techniques

A k-nearest neighbors algorithm is implemented in Python from scratch to perform a classification or regression analysis.

Transfer Learning Image Classifier knn image tensorflow js

Predictive Analysis using a Comparison of Three Machine Learning Algorithms (KNN, Random Forest, and Boosting Algorithm) to Predict Home Selling Prices.