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Course Curriculum

  Introduction
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  Machine Learning 101
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  Machine Learning and Data Science Framework
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  The 2 Paths
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  Data Science Environment Setup
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  Pandas: Data Analysis
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  NumPy
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  Matplotlib: Plotting and Data Visualization
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  Scikit-learn: Creating Machine Learning Models
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  Supervised Learning: Classification + Regression
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  Milestone Project 1: Supervised Learning (Classification)
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  Milestone Project 2: Supervised Learning (Time Series Data)
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  Data Engineering
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  Neural Networks: Deep Learning, Transfer Learning and TensorFlow 2
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  Storytelling + Communication: How To Present Your Projects
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  Career Advice + Extra Bits
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  Learn Python
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  Learn Python Part 2
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  Bonus: Learn Advanced Statistics and Mathematics for FREE!
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  Where To Go From Here?
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