## Chi-Square goodness of fit test

A brief introduction to ChiSquare goodness of fit test using attendance data. Codes for Chi-sq plots along with post-hoc Cramers V are available.

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# Blog

# Blog

## Chi-Square goodness of fit test

## Analysis of variance (Anova)

## Hypothesis test for population parameters

## All you ‘really’ need to know | Python Notebook | Advanced – Pandas

## Table of Contents

## Why are basics important?

## Time series EDA

## A Not-so-Quick-but-Conceptual guide to Python | Notebook | Intermediate — Part 2

## Multicollinear analysis

## A Not-so-Quick-but-Conceptual guide to Python — Notebook | Intermediate | Part 1

and machine learning

A brief introduction to ChiSquare goodness of fit test using attendance data. Codes for Chi-sq plots along with post-hoc Cramers V are available.

Anova hypothesis test on unemployment data. Post hoc analysis and visualisations are presented.

Discussion on hypothesis testing. Introduction to z-test and t-test, Code for visualization of z-test and t-test.

It’s pretty obvious to summon the fact that you wouldn’t have clicked on this article if you have no understanding of the basics and intermediate level concepts of Python. You have? Then it is fair enough to go ahead with this article. You are confused with some basic stuffs, or perhaps forgot about it? IContinue reading All you ‘really’ need to know | Python Notebook | Advanced – Pandas

Links to all other posts in a structured way. Table of contents.

Explains why basics are important using a simple example.

Tutorial on Time Series EDA. Contains time plot, seasonal plots and correlogram plots (ACF) for in-time problem with reusable R code.

Let me be honest. This notebook took me a lot more time than I excepted because I want my audience to understand the concepts of the some of the topics mentioned below in as granular level as possible, yet not making the notebook lengthy. As promised, this is the part 2 of Python Intermediate ofContinue reading A Not-so-Quick-but-Conceptual guide to Python | Notebook | Intermediate — Part 2

Tutorial on Multicollinearity which is the third part of EDA. Plot of Correlation matrix and network for in-time problem with reusable code.

Hi. As mentioned in my previous article, I am now sharing the intermediate part of the Python Tutorial series. I decided to split this part up into 2. Part 1 covers:1. Data Types [list, tuple, dictionary, set, frozenset]2. Conditional statements and loops [if-elif-else, for, while, break, continue]3. File IO [read, write, append, close]4. Exception HandlingContinue reading A Not-so-Quick-but-Conceptual guide to Python — Notebook | Intermediate | Part 1