RoadMap.md

RoadMap for Technical Team - Data Science and AI

Welcome to the Data Science Community's roadmap for learning AI and Machine Learning. This guide will help our associates navigate their learning journey.

Road Map For Machine Learning:

Models:

• Linear Regression
• Classification
• Clustering

Accuracy Improvement Concepts:

• Feature Selection
  • PCA (Principal Component Analysis)
  • Select K Best
• Hyperparameter Optimization
  • Grid Search CV

Performance Metrics:

Regression:

• Mean Squared Error (MSE)
• Mean Absolute Error (MAE)
• R-squared (r2)
• Adjusted R-squared

Classification:

• Confusion Matrix
• Accuracy
• Precision
• Recall
• F1 Score
• AUC ROC Score
• Classification Report

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Details:

Linear Regression:

• Learn about Linear Regression
• Practice Linear Regression

Classification:

• Learn about Classification
• Practice Classification

Clustering:

• Learn about Clustering
• Practice Clustering

Feature Selection:

• Read about Feature Selection
  • PCA (Principal Component Analysis)
  • Select K Best

Hyperparameter Optimization:

• Learn about Hyperparameter Optimization
  • Grid Search CV

Performance Metrics:

Regression:

• Mean Squared Error (MSE)
• Mean Absolute Error (MAE)
• R-squared (r2)
• Adjusted R-squared

Classification:

• Confusion Matrix
• Accuracy
• Precision
• Recall
• F1 Score
• AUC ROC Score
• Classification Report

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Feel free to click on the links to learn more about each topic and start your learning journey. Happy learning!