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  • Main Page
  • Career Tracks
    • Data Scientist with Python
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    • Machine Learning Scientist with Python
  • Courses
    • Courses
      • Supervised Learning with scikit-learn
      • Unsupervised Learning in Python
      • Linear Classifiers in Python
      • Machine Learning with Tree-Based Models in Python
      • Extreme Gradient Boosting with XGBoost
      • Cluster Analysis in Python
      • Dimensionality Reduction in Python
      • Preprocessing for Machine Learning in Python
      • Machine Learning for Time Series Data in Python
      • Feature Engineering for Machine Learning in Python
      • Model Validation in Python
        • Basic Modeling in scikit-learn
        • Validation Basics
        • Cross Validation
        • Selecting the best model with Hyperparameter tuning.
      • Skill Assessment
      • Machine Learning Fundamentals in Python
      • Introduction to Natural Language Processing in Python
      • Feature Engineering for NLP in Python
      • Introduction to TensorFlow in Python
      • Introduction to Deep Learning in Python
      • Introduction to Deep Learning with Keras
        • 1. Introducing Keras
        • Chapter2
      • Introduction to Deep Learning with Keras
      • Advanced Deep Learning with Keras
      • Image Processing in Python
      • Image Processing with Keras in Python
      • Hyperparameter Tuning in Python
      • Introduction to PySpark
      • Machine Learning with PySpark
      • Winning a Kaggle Competition in Python
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