:bar_chart: Methods of Applied Statistics Course Textbook Repository

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

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

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

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

Tutorials for MATH 2411 Applied Statistics, HKUST, Fall 2024

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

Generalized functional derivative and integral calculus methods for noisy data

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.

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

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

MAT-243 Applied Statistics for STEM Notes

Logistic regression-based credit scoring model using public Kaggle data, designed for transparent PD estimation, performance evaluation, and teaching or regulatory use cases.

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

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

STAT420 at UIUC, Fall 2016 with David Dalpiaz

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

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

No description provided.

TAPPS: Technical (Analysis) and Applied Statistics System

P1: Artificial Intelligence and Machine Learning (AIML) Projects