rahulthewaffle

aim-expedia-takehome

Code and documentation for Expedia/AIM Takehome

algorithms_sedgewick_wayne

Code, notes, supplements, and scratchpads for Princeton's Algorithms Course

awesome-pipeline

A curated list of awesome pipeline toolkits inspired by Awesome Sysadmin

career

coding_questions

Code and scratch for practice problems

convolutional_neural_nets_ng

Code, notes, and scratch work for course 4 of the Deeplearning.ai specialization.

dl.ai_tensorflow_course1

Notebooks for learning deep learning

edx_azure_data_factory

Code and materials for edX Azure Data Factory course

functional-programming-scala

Exercises, practice files, and notes for Martin Odersky's course Functional Programming Principles in Scala

prezto

The configuration framework for Zsh

rahulthewaffle/aim-expedia-takehome

Code and documentation for Expedia/AIM Takehome

rahulthewaffle/algorithms_sedgewick_wayne

Code, notes, supplements, and scratchpads for Princeton's Algorithms Course

rahulthewaffle/awesome-pipeline

A curated list of awesome pipeline toolkits inspired by Awesome Sysadmin

rahulthewaffle/career

rahulthewaffle/coding_questions

Code and scratch for practice problems

rahulthewaffle/convolutional_neural_nets_ng

Code, notes, and scratch work for course 4 of the Deeplearning.ai specialization.

rahulthewaffle/dl.ai_tensorflow_course1

Notebooks for learning deep learning

rahulthewaffle/edx_azure_data_factory

Code and materials for edX Azure Data Factory course

rahulthewaffle/functional-programming-scala

Exercises, practice files, and notes for Martin Odersky's course Functional Programming Principles in Scala

rahulthewaffle/prezto

The configuration framework for Zsh

rahulthewaffle/improving_deep_neural_nets_ng

Code and Notes for Course 2 in the deeplearning.ai Specialization on coursera

rahulthewaffle/misc-text-files

Miscellaneous text files for sharing. Feel free to take a gander, don't judge me too much on what's in here ;)

rahulthewaffle/misc_code

miscellaneous code, usually for my personal testing

rahulthewaffle/my_app_sample

rahulthewaffle/neural_networks_deep_learning_ng

Code and Notes for Course 1 in the deeplearning.ai Specialization on coursera

rahulthewaffle/ng-introML-stanford-ex4

Octave code and other files for the week 5 assignment of Andrew Ng's Introduction to Machine Learning course on Coursera.

rahulthewaffle/ng-introML-stanford-ex5

Homework assignment for the week 6 assignment of Andrew Ng's Introduction to Machine Learning course on Coursera.

rahulthewaffle/ng-introML-stanford-ex6

Homework assignment for the week 7 assignment of Andrew Ng's Introduction to Machine Learning course on Coursera.

rahulthewaffle/ng-introML-stanford-ex7

Week 8 Assignment (Exercise #7) for Andrew Ng's Machine Learning Course

rahulthewaffle/ng-introML-stanford-ex8

Week 9 Assignment (Exercise #8) for Andrew Ng's Machine Learning Course

rahulthewaffle/py4e_capstone_severance

Capstone Course for Dr. Chuck Severance's Python for Everybody specialization.

rahulthewaffle/python_databases_severance

Code for Course #4 of the UMichigan Python MOOC

rahulthewaffle/python_web_data_severance

rahulthewaffle/sequence_models_ng

Code, notes, and scratch files for Andrew Ng's Sequence Models course

rahulthewaffle/severance-introPython2-uMich-week10

Files for week 10 of Charles Severance's Python for Everybody Specialization

rahulthewaffle/severance-introPython2-uMich-week9

Files for week 9 of Charles Severance's Python for Everybody Specialization

rahulthewaffle/SparkLearning