Ranking Reviews Based on their utility using Advanced NLP Techniques
-
Updated
Dec 8, 2022 - Python
Ranking Reviews Based on their utility using Advanced NLP Techniques
Predicting price of car from Car Prices dataset using RandomForestRegressor
Diamond Price Prediction Website
Book price dataset analysis and modeling
supervised-machine-learning-random-forest-regression
flood forecasting system - prediction of extent of the inundation, impact analysis & damage estimation
🏡House Price Prediction, Artificial Intelligence course, University of Tehran
Based on historical data predict total runs scored by the batting team, at the end of 6 overs for IPL 2021.
Helping our cousin from La Mancha to make stimations in the sales of iberian ham the next months. Applying feature engineer we help our SVM and Random Forest models to make the best predictions we can.
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.
Thesis Project in School. A system that helps monitor and predict Lettuce Growth days.
Air quality prediction in Africa using Light Gradient Boost Model and Random Forest Regressor
This repository focuses on building a random forest classifier and regressor as well as a gradient boosted regressor, building them from scratch using only NumPy for faster array processing.
Machine Learning project for finding Potential of players with FIFA19 database
A Study of the Effect of YouTube Tech Channels on the Revenue of Newly Released Devices
Implementing different regression models on Data Scientists salary dataset.
Python script that defines a Flask web application with two endpoints for predicting two machine learning models.
The aim of this project is to analyse Weekly sales data of walmart stores and build an ML model, that can predict sales of walmart stores.
A real estate market analyzer used to identify recently listed homes that could be undervalued.
Add a description, image, and links to the random-forest-regressor topic page so that developers can more easily learn about it.
To associate your repository with the random-forest-regressor topic, visit your repo's landing page and select "manage topics."