A package for MD, Docking and Machine learning drug discovery pipeline
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Updated
Aug 30, 2020 - Python
A package for MD, Docking and Machine learning drug discovery pipeline
Map of Artificial Intelligence: Classifications, Approaches, Algorithms, Libraries, Tools, State of Art Studies, Awesome Repos, etc..
Classification is the process of predicting the class of given data points. Classes are sometimes called as targets/ labels or categories.
Language Model Learning a Dataset for Data-Augmented Prediction
This project is Master thesis research conducted at ENEA Portici Research Center, Italy. The data is obtained from the HPC CRESCO6 cluster at ENEA Portici Research Center. The aim is to identify energy consuming areas within the data center. In this project, real-time dataset from ENEA Portici Research Center is used. There are several technique…
This repository contains two classification projects: credit card default prediction and mobile price classification along with streamlit deployment .
Build visual machine learning models with multidimensional general line coordinate visualizations by interactive classification and synthetic data generation tools.
Review Classification using NLP
Supervised Machine Learning
Decision Tree Classification was explored on Breast Cancer Data.
This project involves the classification of ECG (Electrocardiogram) readings to determine whether they are normal or abnormal. The dataset consists of rows, each representing a complete ECG of a patient with 140 data points (readings).
Identify the various sections (bridge, chorus, etc) of a song.
Framework to build, evaluate, select, and compare ML classification and regression models using high-dimensional biological data and other covariates
🚀 Revolutionize customer targeting with a predictive ML model that optimizes insurance subscription. 🎯📊
2023년 11월 대한산업공학회(UNIST) : 다중 역할 경험을 고려한 게임 유저 이탈 예측: 롤 게임을 중심으로, 1저자
Notebooks for Machine Learning Classification
Machine Learning classifier comparison GUI application. Choose 21 classifiers, evaluation data (optional for evaluation of synthetic data), hyperparameters, cross-validation splits, and rng seed; tabulates, and visualizes in Parallel Coordinates: best, worst, average, and standard deviation of Accuracy/F1/Recall.
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