🌍 Python package of VTK-based algorithms to analyze geoscientific data and models

Stochastic gradient descent with model building

PyR@TE 3

A neural network model builder, leveraging a neuro-symbolic interface.

Tree-level completions of LNV operators for neutrino-mass model building

Tool demonstrating building credit risk models

The fraud identification models were build using Python Scikit-learn machine-learning module.

Web application for logistic regression made using Streamlit.

Successfully trained a machine learning model which can predict whether a given transaction is fraud or not.

This dataset contains information about drug classification based on patient general information and its diagnosis. Machine learning model is needed in order to predict the outcome of the drugs type that might be suitable for the patient.

"Welcome to the HR Employee Promotion Prediction project! This repository contains the code and resources for a machine learning project that focuses on predicting employee promotions. By analyzing various employee attributes, this project aims to provide valuable insights for HR decision-making and talent recognition within organizations.

This project carefully studies the customer reviews of a airline company, around 10,000+ reviews are collected through webscrapping and and by sentiment analysis captured the expierence of the customers. And based on that designed a Machine learning algorithm which is a random forest classifier to predict customers who are likely to book seats.

This project is to develop a machine learning model and deploy it as a user-friendly web application that predicts the resale prices of flats in Singapore.

Built and tested 6 supervised machine learning algorithm to develop a predictive classification model to classify 13000+ projects as success or failure.

Web application for linear regression made using Streamlit.

The modelsandbox package and its core Model class allow for users to build intricate, multi-level, highly parameterized mathematical models without needing extensive knowledge of Python to design complex classes and analysis structures.