Project 3 - W207 (Machine Learning)
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Updated
May 6, 2018 - Jupyter Notebook
Project 3 - W207 (Machine Learning)
grur: an R package tailored for RADseq data imputations
This Repository contains the projects which are part of Udacity Machine Learning Nanodegree
An attempt to solve the face recognition problem with deep learning to identify famous people in images
Built in a machine learning hackathon organised by National Stock Exchange, Mumbai, India
Detection of Fake News Posts on Facebook
Empirical Research on the Impacts of Tweets on bitcoin Price
The files named regression and curve fitting contain the code which was used to analyse Ironman data. For description please read the paper named final report. The files Untitled 5 and 8 contain the code and analysis for the new york yellow cabs data. Please read the Project Report file for that
indexDilemma() function co-authored and Included in CRAN
These projects were carried out as part of the MATH2021-1 High-dimensional data analysis course of the ULiege.
My pipeline for applying PCA for 'endocrine profiling'
Tool research paper reviewers could use to detect a single researcher claiming multiple authors’ work
Using unsupervised machine learning I analyze cryptocurrencies according to their features
Accurately predicting companies' future failure with Python.
Visualization of various image data using Principal Component Analysis and t-SNE
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