DataAnalysis

Contains notebooks containing various data analysis.

data_analysis.ipynb

• Exploratory Data Analysis
  • Skewness and Kurtosis in Data Distributions
  • Importance of Correlation Matrix in Binary Classification
  • Pair Plots or Scatter Matrix:
  • Heatmaps
  • Box Plots
• Checking and Removing Outliers
• Scaling
  • Quantile Transformation
  • QQ Plot
• Classifiers
• PCA Visualization Interpretation
• Model Training
  • Model Creation
  • Stacking
  • Soft Voting
  • Hard Voting
  • Calibrating the model
  • Model Calibration in PyCaret
  • Calibration Techniques in Machine Learning
  • Finalizing the last model
  • Precision and Recall Trade-off

knn.ipynb

• In addition to basic exploratory data analysis it explains and demonstrates the use of K-Nearest Neighbor.

custom_classifier.ipynb

• Demonstrates the implementation of a custom classifier for training and prediction.