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# System prepended metadata

title: Applied Statsitcs

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# Applied Statsitcs
## Syllabus
1. Inferential Statistics: Moments, Probability Distributions, Binomial Distribution, Cumulative Probability, Continuous Probability, Distributions, Central Limit Theorem.
2. Hypothesis Testing: Null and Alternate Hypotheses, p-value Method, A/B Testing, Z-test, T-Test, F-Test, Chi-Square Test.
3. Linear Regression: Simple Linear Regression, Residual Analysis and Predictions, Multicollinearity, Prediction vs Projection, Multiple Linear Regression 
4. Logistic Regression: Sigmoid Curve, Feature Elimination, Confusion Matrix, Accuracy, Sensitivity, Specificity, Precision, Recall, ROC Curve 
5. Naive Bayes: Bayes' Theorem, Laplace Smoothing, Multinomial Naive Bayes ,Bernoulli Naive Bayes, Spam Ham Classifier 
6. Fixed effect/Random effect models
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8. Survival Analysis: Censoring, Survival Probability, Kaplan-Meier Curves, Parametric Survival curves, Cox proportional hazards models
