ANPA will be conducting “Introduction to Python and Machine Learning” class this December.

The course is targeted for absolute beginners. We will start with introduction to Python, plotting graphs and then go to machine learning model. You will have assignment every week to complete and there will also be final project presentation.

At the end of the course we will also show how to properly load your projects in Github so that you can mention it in your resume.

  • Anyone who wish to conduct computational physics research by incorporating various machine learning models
  • Anyone who is currently a graduate student and thinks data science and machine learning would be something they wish to keep as backup for future employment,
  • Anyone who is totally new to Python and wish to understand what all this BUZZ about data science and analytics is.

In order to register for the course, click here.

Once registered, you will receive an email with payment info.

Class Time: 2:00-4:00 PM ET

Dates Topics
December 18th Introduction to Python and Plotting
December 19th Introduction to Python and Plotting (continued)
December 25th Data Analysis using Pandas
December 26th Introduction to Machine Learning: Linear and Logistic Regression.

(Final project will be assigned on this day).

January 2nd Support Vector Machine, Decision Trees
January 8th Random Forest, XGBOOST
January 9th Introduction to Neural Networks
January 15th Github Documentation and Final Project Preparation
January 16th Final Project Presentation