Name: Karthikeyan Thiagarajan
Type: User
Company: University of Central Florida
Bio: I am a data analyst. My interests range from Bayesian analysis to machine learning. I have a good working knowledge of R and Python.
Location: United States
Karthikeyan Thiagarajan 's Projects
100 Days of ML Coding
https://harvard-iacs.github.io/2019-CS109A/
30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace.
Auto-generation of templates for written reports for 6.419x Data Analysis: Statistical Modeling and Computation in Applications
🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision
Advanced R: a book
Advanced Data Science 2020 Edition
Advanced Deep Learning with Keras, published by Packt
Advanced Deep Learning with R, published by Packt
Advanced Differnce-in-Differences Mixtape Track
adventr: tutorials in R for An Adventure in Statistics (Field, 2016)
STAN files for fitting an accelerated failure time model, part of a paper submission
Exercises for the book Artificial Intelligence: A Modern Approach
Python translation of algorithm design manual C code.
Slides and Python files used in my CS22 videos on youtube
A repository with IPython notebooks of algorithms implemented in Python.
Self-study on Larry Wasserman's "All of Statistics"
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
Getting Started with Amazon SageMaker Studio, published by Packt
Lesson files used in the Analysis of Factorial Designs for Psychologists - Practical Applications in R, taught at Ben-Gurion University on the Negev
Anatomy of Matplotlib -- tutorial developed for the SciPy conference
Notebooks and code for the book "Introduction to Machine Learning with Python"