applied-statistics

📊 Methods of Applied Statistics Course Textbook Repository

📖 现代应用统计 Modern Applied Statistics with R

Materials for UC Berkeley Neuroscience 299

This repo contains study materials, lab records, previous year assignments and question papers, term end exam form, assignment instructions, percentage calculator etc. of the 1-year programme PGDAST, offered by IGNOU. Checkout the programme guide for more details!

These are python notebooks accompanying Lessons available at GeostatisticsLessons.com

Note-of-Applied-Statistics-with-R

Reference materials of "Probability & Statistics" IPE 205 course

A repo with homeworks and labs from a course on applied stats taken by me during my bachelor's degree in MIPT, Ru. Course authors: Andrii Hraboviy, @andriygav and Oleg Bakhteev, @bahleg.

GitBook of Note of Applied Statistics with R

Type-generic math and numerical library supporting c99 and cpp98 (header only).

📓 💪 An introductory workshop lecture on ensemble machine learning with pipelines using the sl3 R package

All the bookmarks that I've used for my work and study

Course website for Applied Statistics I at CSU, Chico (MATH 315)

In-depth analysis about rminer package for regression. Project from my Applied Statistics and Data Analysis course in CS master degree.

TAPPS: Technical (Analysis) and Applied Statistics System

STAT420 at UIUC, Fall 2016 with David Dalpiaz

A statistical decomposition of internet traffic data (in bits) over time. Using RStudio I performed a Simple Trend Model, Multiplicative Classical Decomposition, Additive Classical Decomposition, and an ARIMA model.

This project contains the code to perform a task of Particle identification (PID) in Astrophysics, comparing Deep Learning and Classical Machine Learning approaches. Data are provided by Agile team (http://agile.rm.iasf.cnr.it/) and the goal of the analysis is to provide a Statistical model which is able to distinguish gamma-ray photon for background particles.

A survival analysis project on pneumonia using peumon dataset of the KMsurv package.

Machine learning projects done as part of an online PGPML course offered by Great Learning, an ed-tech company.

Automated the process of training time-series data with multiple Machine Learning and Stats Models to output the most accurate forecast result

Study on how house prices are affected by internal and external housing characteristics.

This repository has some basic concepts of applied statistics implemented in R.

Homework for applied statistics

Machine Learning and Deep Learning in Bioinformatics - Master's thesis repository

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.

Feedforward network @epam

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.

Data analysis course taken at EPFL during Spring 2017-18. Assignments consist of data analysis projects done in R.

Methods of Applied Statistics: NASA Li-ion Battery Health Degradation Analysis