Machine Learning – II (F19SMT4C)


Learn advanced concepts in Machine Learning using Python.

Level: Hercules

Tools: Python, Tensorflow, NumPy, Pandas, Matplotlib, Seaborn, Plotly, Cufflinks

Prerequisite: Basic Programming, Familiarity with Tensorflow, NumPy, Pandas, Matplotlib

Students will take home: Project files

Location: 1073 S De Anza Blvd, San Jose, CA 95129

Course Content

  1. Recap of the following topics:
    • Python, Data Analysis, Data Visualization, Linear Regression, Logistic Regression
  2. K Nearest Neighbors
  3. Decision Trees and Random Forests
  4. Support Vector Machines
  5. K Means Clustering
  6. Principal Component Analysis
  7. Natural Language Processing
  8. Neural Networks and Deep Learning
    • Tensorflow Estimators
    • MNIST classification