NOTEBOOKS & MATH BASICS

Array

Sparse matrix

DataFrame

Strings, Lists, Dictionaries

pd.read_csv

Data inspection

Value counts

Bar plot

Scatter plot

scikit-learn

logistic regression

decision tree, max_depth

confusion matrix

accuracy, precision, recall, F1-score

classification report

word embedding

out-of-vocabulary

train_test_split

count_vectorizer

count_vectorizer.fit_transform

count_vectorizer.transform

svm_tfidf_vectorizer

GloVe

X_train_emb

scaler

svm_linear

mnb

tree

mlp

train_err.append()

dev_err.append()

report

silhouette score

adjusted rand index

Descriptive vs Inferential Statistics

Probability Theory

Methodology

Sample space

Linearity of Expectation

Multiplication Rule of Probability

Addition Rule of Probability

Counting number of possibilities

P(A) = | A | / | Ω |

Bayes’ Rule

Independence

Expectation Basics

Random Variables in ML