📊 Methods of Applied Statistics Course Textbook Repository
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Updated
Jan 8, 2024 - HTML
📊 Methods of Applied Statistics Course Textbook Repository
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!
Reference materials of "Probability & Statistics" IPE 205 course
These are python notebooks accompanying Lessons available at GeostatisticsLessons.com
Materials for UC Berkeley Neuroscience 299
STAT420 at UIUC, Fall 2016 with David Dalpiaz
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.
This is the guide for learning applied statistics.
📓 💪 An introductory workshop lecture on ensemble machine learning with pipelines using the sl3 R package
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.
Automated the process of training time-series data with multiple Machine Learning and Stats Models to output the most accurate forecast result
Machine learning projects done as part of an online PGPML course offered by Great Learning, an ed-tech company.
Network Analysis Applied Statistics Project
All the bookmarks that I've used for my work and study
TAPPS: Technical (Analysis) and Applied Statistics System
Resources for the Lab section of Applied Quantitative Analysis-II (GA-SOC), NYU
Unofficial student solutions for the Applied Statistics course of the MSc in Mathematical Engineering @ Polimi (A.Y. 2021-2022).
Data analysis course taken at EPFL during Spring 2017-18. Assignments consist of data analysis projects done in R.
Course website for Applied Statistics I at CSU, Chico (MATH 315)
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