applied-statistics

XuankaiWang/XuankaiWang.github.io

This is the guide for learning applied statistics.

GeostatisticsLessons/GeostatisticsLessonsNotebooks

These are python notebooks accompanying Lessons available at GeostatisticsLessons.com

charlesfrye/AppliedStatisticsForNeuroscience

Materials for UC Berkeley Neuroscience 299

acl21/PGDAST

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!

GISerDaiShaoqing/Note-of-Applied-Statistics-with-R

Note-of-Applied-Statistics-with-R

rankinjl/internet-traffic-stats-project

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.

tanmoyie/Applied-Statistics

Reference materials of "Probability & Statistics" IPE 205 course

yk4r2/AppliedStats

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.

GISerDaiShaoqing/Note-of-Applied-Statistics-with-R-Book

GitBook of Note of Applied Statistics with R

freesoft/UIUC-MCSDS-bookmark

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

amajji/machine-learning-algorithms-from-scratch

This project contains an implementation of many Machine Learning algorithms from scratch

tlverse/sl3_lecture

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

mvharsh/Applied-Statistics-with-Python

This repository contains all my applied statistics projects using python

mauriceling/tapps

TAPPS: Technical (Analysis) and Applied Statistics System

ShrishailSGajbhar/PGPML-Projects

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

teobucci/applied-statistics-exams

Unofficial student solutions for the Applied Statistics course of the MSc in Mathematical Engineering @ Polimi (A.Y. 2021-2022).

yanellinunez/Commentary-to-mixture-methods-paper

Code associated with the publication: Reflection on modern methods: good practices for applied statistical learning in epidemiology.

1AyaNabil1/IBM-Applied-Data-Science-Capstone-Project

This project is the applied data science capstone project provided by IBM.

alokkshukla/STAT420

STAT420 at UIUC, Fall 2016 with David Dalpiaz

amacaluso/Machine-Learning-and-Deep-Learning-an-application-in-Bioinformatics

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

amitkumar-aimlp/projects

Artificial Intelligence and Machine Learning (AIML) Projects

CCSI-Toolset/measurement-optimization

Code for Measure This, Not That: Optimizing the Cost and Model-Based Informa- tion Content of Measurements

coreysparks/DEM7283

Course materials for Statistics for Demographic Data 2 DEM 7283 UTSA Department of Demography

johnmatzakos/pneumonia-survival-analysis

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

louisyuzhe/timeseries-forecast-automation

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

x10mrrobot01x/x10mrrobot01x.github.io

MAT-243 Applied Statistics for STEM Notes

dnyanshwalwadkar/Data-Science-Famework

This repository is a comprehensive collection of notebooks that covers various data science projects in detail. Each project is designed to provide a clear understanding of the data science pipeline, from data acquisition to model deployment.

immerse-ucsb/immerse-ucsb.github.io

GH pages repository to host all tutorial scripts as websites for sharing (PDF/HTML formats).

m-dadej/business-cycle-transmission

Data analysis for paper Business cycle transmission between France and United Kingdom

MicheleDiSabato/statistics-behind-spotify

Is it possible to predict the popularity of a song based on its technical features? Which aspect of a song should an artist focus on to get more visibility? Could record labels or a new up-and-coming artist benefit from these data-driven and data-informed decisions?

OlegRyzhkov2020/house_price_prediction

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

Plinkett/AppliedStatisticsProject2022

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

shruti18j/GreatLearning-PGP-AIML

(Revision) Source code, resources and projects as part of Great Learning's PGP - Artificial Intelligence and Machine Learning course assignments

TheVinh-Ha-1710/RStudio-Statistics

This project deeply studies 2 datasets (Traffic and Cake dataset) using applied statistics techniques.

thiagoscarelli/thiagoscarelli.github.io