Referenced During Curriculum
Python:
Data Science:
Statistics
P value
Z score
Machine Learning:
Understanding Models
Underfitting and Overfitting
Gradient Decent
Supervised Learning
Regression
Evaluation
Regularization
Classification
Confusion Matrix Understanding
Roc and Auc Curves
Decision Trees (regression and classification)
Unsupervised Learning
K means overview
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