Intro to Machine Learning - One Weekend


Intro to Machine Learning - One Weekend


These machine learning workshop present the basics behind the application of modern machine learning algorithms. We will discuss a framework for reasoning about when to apply various machine learning techniques, emphasizing questions of over-fitting/under-fitting, regularization, interpretability, supervised/unsupervised methods, and handling of missing data.

  • Machine Learning Concepts

    • MLA’s Seven Step Supervised Learning Process

    • Data Abstraction

    • Feature Engineering

    • Train Test Splitting

    • Model Evaluations

  • Algorithms covered:

    • Logistic Regression

    • Linear Regression

    • Text / Sentiment Analysis

    • K - Means

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