Statistics-and-Econometrics-for-Data-Science
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This repository contains notebooks for understanding some concepts of statistics and econometrics that can be helpful in data science
This task is meant for beginners to python. If you already have some experience with numpy, pandas, etc, I recommend checking out other issues. All the issues tagged good first...
Hey I would like to create a notebook which would explain apriori algorithm and also have an implementation.So pls assign me this issue @PetalsOnWind
I will able to explain from scratch , add properties and give more insights through an example. @PetalsOnWind @AnushkaThakkar please assign me this issue
full implementation and explanation of anomaly detection using NumPy and matplotlib library
All the functionality of seaborn to plot different graph
I think sentiment analysis is a very important topic in ml and it should also be added in the set of notebooks. The notebook will contain information on how sentiment...
1. add some statistical properties of markov chains 2. Add about ergodic markov chains 3. more explanations for code @sameeksharl Look into this
I would like to provide a detailed implementation of phi k correlation, which is a newly emerging method to find correlations between any type of data(categorical, ordinal, and numerical )....