Probability, Distributions & Sort Algorithms
Data Types
Descriptive Statistics
Sampling
Inferential Statistics
Hypothesis Testing
Intro to R
Exploratory Data Analysis ( R & Excel )
Correlation & Causation
Predictive Analytics
Supervised vs Unsupervised
Simple Linear Regression/Linear Regression
Regression Assumptions
Logistic Regression
MLE,Sensitivity,Specificity
ROC Curve
Decision Tree
Entropy & Gini Index
Trees for Prediction
Tress for Classification
Random Forest
Boosting
Clustering
K-Means Clustering
Hierarchical Clustering/Dendrogram
Time Series
Text Mining
KNN
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