Data Science Hub
Comprehensive resource for Statistics, Machine Learning and Deep Learning concepts
Statistics
Univariate/Bivariate Analysis
CDF & PDF Theory
Central Tendency
Distributions
Hypothesis Testing
Errors & Z/T Tests
Chi-Square Test
Covariance & Correlation
Q&A Section
Python Examples
Machine Learning
K Nearest Neighbors
KNN Factors
Logistic Regression
Support Vector Machines
Naive Bayes
Decision Trees
Ensemble Techniques
Performance Metrics
Unsupervised Learning
Miscellenaous
Deep Learning
Neural Networks
Generative Models
LLM Interview Questions
Transformer
Recurrent Networks
BERT