Machine Learning Model for Order Demand Prediction based on historical Order data - Built for Swiggy Hackathon 2018
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Updated
Jul 16, 2018 - Python
Machine Learning Model for Order Demand Prediction based on historical Order data - Built for Swiggy Hackathon 2018
In this project we are comparing various regression models to find which model works better for predicting the AQI (Air Quality Index).
This repository contains Python functions for predicting time series.
Machine Learning Software that predicts planets based on their distance from the sun, number of satellites and various properties
The project would generate report of the result of the students and is also capable of concluding the result analysis report of the students as in tables, figures in Excel Sheet. The project is based on python which will use the web scraping technique used to launch the website from an automated software (as a web browser) to visit the website (…
A simple implementation of Random Forest Regression in python.
Machine Learning Prediction Software Based on Classification and Regression Based on Processor [CPU] Specifications
Time series processing library
Machine learning algorithm solves multi-class classification problem of video games content rating (without playing it). Quantitative Methods for Computer Science exam project.
This repository is a collection of both basic and advanced code templates for Model Building. All codes I am sharing are from the practical exercises I did from the Data Science Infinity Program.
it's my first data science application using streamlit and my first project uploaded to Github. I would like to thank Misra_Turp(youtube) for this project.
A machine learning method for confidence interval (CI) computation with specific application to Covid-19 forecast on 54 countries.
House-Price-Prediction-App
Implementation of regression algorithms in python.
Project aims to forecast potato prices in India using LSTM, KNN, and Random Forest Regression, integrating historical data on prices, regional stats, and rainfall patterns. Targeting agricultural stakeholders for informed decision-making.
Regression Models (other than simple and multiple) using Python
Mon Travail à Initiative Personnelle Encadré (TIPE) sur le thème de la ville pour mon parcourt en MP.
Predicting Big mart sales
Development of new ML library
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