Stanford Machine Learning Course
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Updated
Oct 14, 2017 - MATLAB
Stanford Machine Learning Course
Business analytics, data analysis projects and practices.
exSeek: extracellular RNA analysis tool for noninvasive biomarker
Looking at the probability of being accepted in a graduate program using a machine learning model
This repository contains classification of documents, to classify documents into one out of several possible malware families, using Google Cloud Platform, PySpark, Jupyter notebook. This project is done for CSCI8360: Data Science Practicum at The University of Georgia.
all kinds of text classification models and more with deep learning
Fishing relevance classifier for youtube videos based on text and metadata
Classifiacation of molecules as MUSK or non-MUSK using machine learning model.
The aim of this project is to use reinforcement learning to solve the Taxi game
A repository to save my machine learning notes.
enemy detection in call of Duty :Mobile. Trained on custom dataset.
Sentiment analysis of tweets using machine learning
Artificial Intelligence and Machine Learning - Team Project - Dice Wars
<Do it! 딥러닝 입문> 도서의 주피터 노트북
Prototype provides following functionalities: using CCTV footage, detect whether the distance between two people is more than 6ft or not, predict queue wait time outside the shop and crowd counting.
It is a fully responsive web application that compares two smartphones based on their reviews available on e-commerce sites like Amazon and Flipkart by aspect-based sentiment analysis (ABSA). The application also classifies reviews based on the aspects and corresponding sentiments.
DeepFovea++: Reconstruction and Super-Resolution for Natural Foveated Rendered Videos (PyTorch).
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