Daniel Suryakusuma's repositories
stochastic-processes
Stats 150: Stochastic Processes (Prof. Jim Pitman)
concepts-of-statistics
Stats 135: Concepts of Statistics (Prof. Adam Lucas)
numerical-analysis
Math 128A: Numerical Analysis (Prof. John Strain)
abstract-algebra
Math 113: Abstract Algebra (Prof. Paul Vojta)
bohemian-rhapsody
spotify data analytics in R, Excel, SQL
data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
159mt
Music 159 Midterm Project
auw
applied underwriters case project
actuarial-foss
A curated list of free and open source actuarial software
HackJam2014
Cal HackJam - August 27, 2014
InnoDSp15-portfolio
Gold Tier Portfolio
jekyll-now
jekyll blog for daniel.finance
minimal-mistakes
:triangular_ruler: A flexible two-column Jekyll theme. Perfect for personal sites, blogs, and portfolios hosted on GitHub or your own server.
ml-coursera-python-assignments
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
pages
website
PCDM
Property Casualty Data Model Specification
qgrid
An interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks
R-Machine-Learning
D-Lab's 6 hour introduction to machine learning in R. Learn the fundamentals of machine learning, regression, and classification, using tidymodels in R.
shiny-insurance-examples
Examples of Shiny applications for insurance
synth
Hackjam Spring 2014
tikzcd-editor
A simple visual editor for creating commutative diagrams.
visualization-with-python
Materials for the D-Lab's visualization workshop