applied-statistics

This is the guide for learning applied statistics.

📊 Methods of Applied Statistics Course Textbook Repository

These are python notebooks accompanying Lessons available at GeostatisticsLessons.com

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!

Materials for UC Berkeley Neuroscience 299

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

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

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

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

Tutorials for MATH 2411 Applied Statistics, HKUST, Fall 2024

Generalized functional derivative and integral calculus methods for noisy data

This repository contains all my applied statistics projects using python

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

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

📚 Courseworks over the MSc Statistics at Imperial College London, Department of Mathematics.

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