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ML application in Physics PH6232

Home Page: https://alaha999.github.io/

Jupyter Notebook 97.07% Python 2.93%
machine-learning matplotlib numpy pandas physics python scikit-learn experimentalhep

mlphycourse's Introduction

ML Course IISER Pune

PH6232: Machine Learning and its physics applications

Course Website: https://alaha999.github.io/

Course Modules: https://alaha999.github.io/modules/

Installing packages

We need python,numpy,matplotlib,tensorflow,keras, and scikit-learn for this course.

NB: Please make sure you have these libraries working in your system. If not, make sure you come to wednesday's tutorial session and we will help you with the installation! But this comes with a free joke,

Week 1

  • Date: Feb 3, 2023
  • basic python, matplotlib, numpy and pandas dataframe
  • Lectures on neural network (overview and math)

Week 2

  • Date: Feb 10, 2023
  • Build a regression deep neural network in the context of Projectile Motion
  • Lectures on regression DNN and week 2 materials

mlphycourse's People

Contributors

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