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
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 techniqueβ¦
Review Classification using NLP
his 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).
Supervised Machine Learning
Decision Tree Classification was explored on Breast Cancer Data.
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
Notebooks for Machine Learning Classification
Logistic Regression Implementations - ML, Shallow NN and Enhanced Deep Neural Network for Structured and Unstructured Data Classification
Project aim is to use machine learning for predicting the winner of PokΓ©mon among player choices. Potential audiences are the general public interested in playing the game and company management.
π Revolutionize customer targeting with a predictive ML model that optimizes insurance subscription. π―π
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