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ASSIGNMENTS

BASICS OF STATISTICS LEVEL 1

BASICS OF STATISTICS LEVEL 2

HYOTHESIS TESTING

SIMPLE LINEAR REGRESSION

MULTIPLE LINEAR REGRESSION

LOGISTIC REGRESSION

CLUSTERING

KMEANS CLUSTERING

HIERARCHICAL CLUSTERING

DBSCAN

PCA

Association Rules

Recommendation System

EDA2

Random Forest

LGBM & XGBM

KNN

SVM

Neural Networks

Time series

Naive Bayes & Text Mining