📊 Methods of Applied Statistics Course Textbook Repository

This is the guide for learning applied statistics.

These are python notebooks accompanying Lessons available at GeostatisticsLessons.com

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!

Note-of-Applied-Statistics-with-R

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.

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

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

Tutorials for MATH 2411 Applied Statistics, HKUST, Fall 2024

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

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

This repository contains all my applied statistics projects using python

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

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

TAPPS: Technical (Analysis) and Applied Statistics System

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

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