Name: Ruhollah Moussavi-Baygi
Type: User
Company: University of California, Berkeley
Bio: A computational bioscientist with passion on data analysis and hidden pattern extraction from big data pool.
Location: Berkeley, CA
Blog: https://cal.berkeley.edu/ruhollah
Ruhollah Moussavi-Baygi's Projects
Advanced R programming: a book
Sequential regulatory activity predictions with deep convolutional neural networks.
API for the Clone Finder application
Cracking the Coding Interview 6th Ed. Solutions
Deep learning using Keras in R (under development)
A list of deep learning implementations in biology
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Neural network graphs and training metrics for PyTorch and Tensorflow.
Student Solutions to An Introduction to Statistical Learning with Applications in R
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Materials for teaching the Python FUNdamentals workshop at UC Berkeley's D-lab
R for data science
Notes and exercise attempts for "An Introduction to Statistical Learning"
Statistics for Machine Learning, published by Packt
Short programming tutorials pertaining to data analysis.