DataScience Classroomnotes 21/Apr/2022

To Perform Machine Learning

  • Having knowledge of Statistics
    • Distributions
    • Classifications
    • Regressions
  • Understanding the RAW DATA
  • Knowledge of existing python libraries & when to use what
  • Data cleaning
  • Adding new features
  • Making data good/suitable for the machine learning algorithms
  • Choosing the right algorithm
  • Maintaining the model
  • Calling the Model from existing Application

Additional Skills

  • Image Processing
  • NLP
  • Deep Learning
  • Reinforcement Learning
  • Cloud Services:
    • Deploying Models will be simple

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