This repository contains Python functions for predicting time series.
The objective of this project is to model the prices of Airbnb appartments in London.The aim is to build a model to estimate what should be the correct price of their rental given different features and their property.
Hybrid RecSys, CF-based RecSys, Model-based RecSys, Content-based RecSys, Finding similar items using Jaccard similarity
Crypto & Stock* price prediction with regression models.
Machine Learning model for price prediction using an ensemble of four different regression methods.
Time series processing library
This repo is a part of K136. Kodluyoruz & Istanbul Metropolitan Municipality Data Science Bootcamp. The project aims to produce a machine learning model for home price estimation. The model was built on the Kaggle House Prices - Advanced Regression Techniques competition dataset.
Predicting Snow Conditions in Passo Tonale (Trento, Italy)
The Zomato Delivery Time Prediction Application is a machine learning-driven Flask web application designed to predict the estimated delivery time for food orders placed on the Zomato platform.
Python package that converts an XGBRegressor model to an Excel formula expression.
Almost and AutoML around xgb, catboost and lightgbm
HousingPriceRegression.py file contains project based on linear regression. The dataset comprises values of aspects related to residential places and price of a house. TitanicClassification.py file contains project based on binary classification. The dataset comprises of data related to passengers and binary value of whether they survived or not.
The goal is to model the change in hedge words between early and published versions of papers from these journals using the gender of their authors and the text (BERT embeddings) as features.
Predicting Big mart sales
Development of new ML library
Fetches the data from MongoDB and creates xboost model for prediction
AQI Predictor V2 use multiple Supervised Machine Learning with Hyper tuning. ML algorithms used Linear Regressor, Lasso Regressor, Decision Tree Regressor, Random Forest Regressor, XGboost Regressor. The Model deployed on web and can predict AQI visit https://aqipredictor.up.railway.app/
College Rank Predictor
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