Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"
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Updated
Nov 12, 2022 - Jupyter Notebook
Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"
Jupyter notebooks with examples of statistical methods and analyses using R.
This R Studio Markdown aims to analyze data from 2020 of FBI's Hate Crime Statistics with various key parameters as control variables and defend hypotheses about hate crimes and bias motivation.
Jupyter notebook for Quantium Data Analytics Virtual Internship Program
Python notebooks I used for active learning / test stuff out while learning statistical signal processing
Explore parametric & non-parametric hypothesis tests in this Jupyter Notebook tutorial. Compare means, analyze variance & more with real-world examples! 📊✨
This repo contains the project jupyter notebooks and data files to view and re-run my analysis of the flight data.
Jupyter Notebook applying statistical theory to housing price prediction, using techniques like the Kolmogorov–Smirnov test, Box-Cox transformation, Pearson/Spearman correlations, chi-square tests, and feature importance, with analysis of prediction accuracy across price ranges.
Analysis of bus delays data from TTC (Toronto Transit Commission). So far we concluded that there is a statistically signigificant difference in number of delays between days with good weather and bad weather within the "Mechanical" and "General" delay reasons. More details in Jupyter Notebooks.
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