A package for MD, Docking and Machine learning drug discovery pipeline

Classification is the process of predicting the class of given data points. Classes are sometimes called as targets/ labels or categories.

Map of Artificial Intelligence: Classifications, Approaches, Algorithms, Libraries, Tools, State of Art Studies, Awesome Repos, etc..

Language Model Learning a Dataset for Data-Augmented Prediction

This repository contains two classification projects: credit card default prediction and mobile price classification along with streamlit deployment .

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…

Build visual machine learning models with multidimensional general line coordinate visualizations by interactive classification and synthetic data generation tools.

Review Classification using NLP

IoT CWE Dataset

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).

Machine learning model trained on 520K social media comments generating probability distribution of emojis based on textual context.

Project aim is to use machine learning for predicting the winner of Pokémon among player choices. Potential audiences are the general public interested in playing the game and company management.

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

CODSOFT Data Science Internship Project Tasks.

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.