notebooks

This is a collection of my study notes and lecture notes, on various topics, in Jupyter-notebook format.

You're free to you use them for educational, academic, or other noncommercial purposes, but I'd appreciate a citation.

Statistics & Data Analysis

(Non)Correlation between zodiac signs and body weight Astrologers claim a lot of weird things, including that some zodiac signs make you overweight. In this fun project, I challenge that claim using a survey of 1000+ people. I use Pandas, determine the coefficient of correlation of zodiac signs with weight, and with body-mass index. I also determine the 95% confidence interval for the correlation coefficient, using bootstrapping.
Sayısal Loto ve Şans Topu Analizleri (Turkish) I analyze the outcomes of two types of lotteries in Turkey. In particular, I debunk the claim that one particular district gets a disproportionate amount of prizes. I also analyze whether the lottery outcomes are random, using Haigh's W statistic.

Resampling Stats in Python

This is a Pythonic "transcription" of Daniel T. Kaplan's 1999 book Resampling Stats in Matlab using Python 3. It's a short, informative book illustrating the general principles of statistical simulations and, in particular, how resampling can be used to obtain confidence intervals for data.

The notebooks below do not contain the full text of the book. I keep explanations at the minimum, and I focus on reimplementing the examples of the book. Occasionally I add my own comments and calculations. Any errors in these additions are my own responsibility.

Chapter 1: Sampling, Resampling, and Inference

Chapter 2: Making Statements with Precision: Confidence Intervals

Name		Name	Last commit message	Last commit date
Latest commit History 15 Commits
(Non)Correlation between zodiac signs and body weight.ipynb		(Non)Correlation between zodiac signs and body weight.ipynb
Classify wheat seeds.ipynb		Classify wheat seeds.ipynb
Head size and brain weight - Linear regression.ipynb		Head size and brain weight - Linear regression.ipynb
Jumping Ball on Chessboard (VPython).ipynb		Jumping Ball on Chessboard (VPython).ipynb
Linear regression with a quadratic model function.ipynb		Linear regression with a quadratic model function.ipynb
Linear regression.ipynb		Linear regression.ipynb
Perceptron Learning Algorithm.ipynb		Perceptron Learning Algorithm.ipynb
README.md		README.md
Rejection sampling.ipynb		Rejection sampling.ipynb
Resampling Stats in Python - Chapter 1.ipynb		Resampling Stats in Python - Chapter 1.ipynb
Resampling Stats in Python - Chapter 2.ipynb		Resampling Stats in Python - Chapter 2.ipynb
Rosenbrock, Newton's method.ipynb		Rosenbrock, Newton's method.ipynb
Rosenbrock, coordinate descent.ipynb		Rosenbrock, coordinate descent.ipynb
Rosenbrock, quasi-Newton methods.ipynb		Rosenbrock, quasi-Newton methods.ipynb
Rosenbrock, steepest descent, backtracking.ipynb		Rosenbrock, steepest descent, backtracking.ipynb
Rosenbrock, steepest descent, decreasing step length.ipynb		Rosenbrock, steepest descent, decreasing step length.ipynb
Rosenbrock, steepest descent.ipynb		Rosenbrock, steepest descent.ipynb
annual income modeling.ipynb		annual income modeling.ipynb
annualincome.csv		annualincome.csv
seeds_dataset.txt		seeds_dataset.txt

mkozturk/notebooks

Folders and files

Latest commit

History

Repository files navigation

notebooks

Statistics & Data Analysis

Resampling Stats in Python

About

Resources

Stars

Watchers

Forks

Languages