• Confusion Matrix

  • Matplotlib
  • seaborn

• Losses

  • Categorical Cross Entropy
  • Sparse Categorical Cross Entropy

• Underfitting vs. Overfitting

• Vanishing Gradient Problem

• Exploding Gradient Problem

• Missing Data

• Precision - Recall and F1-score

• Batch Normalization

• One - Hot Encoding

• Learning Curves

• Bias - Variance

• Machine Learning Algorithms

  • K-Nearest Neighbours
  • Support Vector Machines
  • Decision Trees

• Exploratory Data Analysis

• Dimensionality Reduction

• Feature Engineering

• Data Wrangling

• Web Scraping

Source: https://developers.google.com/machine-learning/glossary and others