Contents

2-sample test

anova

Basics

Batchnorm

bernoulli

binomial

Bootstrapping

bow

CI

classification

CLT

Confidence Interval

Debugging NN

distribution

fasttext

feature extraction

Geometric

hashing vectorizer

Hypothesis testing

KNN

layernorm

Logistic Regression

lognormal

Neural Network

NLP

normal

normalization

null hypothesis

one-sample-test

overfit

p-value

pipeline

poission

probability

sampling

t-distribution

text cleaning

tfidf

Tokenization

underfit

word2vec

z-distribution