Data Mining all Assignments covering all types of different topics & their assignments with all needful details.
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Updated
Jan 5, 2022
Data Mining all Assignments covering all types of different topics & their assignments with all needful details.
Code for the PhD thesis. The topic was on defect detection of 3D printing using x-rays. The repository includes an implementation of the mode filter and empirical null filter.
This repository has some basic concepts of applied statistics implemented in R.
An entry course in statistics at The University of Oslo. Autumn 2021
Collection of some exercises and code snippets for the course of Applied Statistics [Politecnico di Milano, 2020/2021] by Professor Piercesare Secchi.
📖 Un complemento interactivo para entender y dominar la Estadística Aplicada: Estadística Básica, Aprendizaje Estadístico y Ciencia de Datos con R.
A working library of functions, data, color palettes (etc.) for everyday, and not-so-everyday, R tasks
Introduction to Data Science and Machine Learning algorithms: SVM, Naive Bayes, Decision Trees, Random Forests
Detecting the key reason for crime(manslaughter) happened in 30 years. There's a lot of aspect present in the data published by US government. The data and the finding can be used in any country prospect,if not all but handy few.
Applied Analytics projects
Implementation of some r programs using R studio.
A repository of the Applied Statistics project of Politecnico di Milano for the 2021/2022 academic year. Includes an analysis of the Nextstrain dataset of amino acid substitutions of SARS-CoV-2
This repository includes all the assignments completed for the IDS702: Modelling & Representation of Data at Duke MIDS program.
Network Analysis Applied Statistics Project
Resources for the Lab section of Applied Quantitative Analysis-II (GA-SOC), NYU
This project covers both Simple Linear Regression and Multiple Linear Regression which are used in prediction airline flight ticket. Moreover, Correlation analysis and Timeseries analysis are performed as well. This project is built as a fulfillment for my masters degree.
LaTeX version of NIST's Engineering Statistics Handbook
This is a project where the given data set is modeled using statistical methods and giving up a best model using results .
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