Python and Machine Learning

PT24438
Training Summary
Python is a popular open source language. It has libraries for almost everything, including web programming, administrative tasks, system programming, mathematics, machine learning, and graphics. This course is intended for data scientists and software engineers. It gives them practical level of experience, achieved through a combination of about 50% lecture, 50% lab work
Prerequisites
Before taking this course, students should be able to navigate Linux command line, and have familiarity with programming
Duration
5 Days/Lecture & Lab
Audience
This course is designed for Data Scientists, Developers, and Administrators.
Course Topics
  • Python Introduction
  • Python Language Overview and First Steps
  • Python OOP
  • Pandas
  • NumPy
  • Python – DB Programming
  • Python – Web Programming
  • Visualization
  • NLTK
  • Machine Learning (ML) Overview
  • Machine Learning Environment
  • Machine Learning Concepts
  • Feature Engineering (FE)
  • Linear regression
  • Logistic Regression
  • Classification : SVM (Supervised Vector ::Machines)
  • Classification : Decision Trees & Random ::Forests
  • Classification : Naive Bayes
  • Clustering (K-Means)
  • Principal Component Analysis (PCA)
  • Recommendation (Collaborative filtering)
  • Final workshop (time permitting

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