Pinned Repositories
2015-04-16-uvalib
2017
active-learning-workshop
Active Learning Workshop Materials
advanced_python
Examples of advanced Python programming techniques
AlgorithmsBook
My algorithmic design paradigms book!
anlp19
Course repo for Applied Natural Language Processing (Spring 2019)
Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)
Assignments
Assignments for COGS 108.
AtmoChem
Atmospheric chemistry data and analysis
Deep-Neural-Networks-HealthCare
Tangible and Practical Deep Learning Projects Repository for Healthcare such as Cancer, Drug Discovery, Genomic and More
prasadseemakurthi's Repositories
prasadseemakurthi/Data-Science-45min-Intros
Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques
prasadseemakurthi/2015-04-16-uvalib
prasadseemakurthi/dataprojects
Projects for The Data Incubator, this summer
prasadseemakurthi/DevPH_Rev4
prasadseemakurthi/dsi-capstone-sentry
prasadseemakurthi/engarde
A library for defensive data analysis.
prasadseemakurthi/gadsdc
General Assembly Data Science DC
prasadseemakurthi/Interview_Problems
Example coding interview problems found through online resources, Cracking the Code book, mentors and colleagues. An additional robust resource for example interview questions and solutions is at https://github.com/mmihaljevic/algortihms_challenges.
prasadseemakurthi/ipython-notebooks
A collection of IPython notebooks covering various topics.
prasadseemakurthi/IPythonTheanoTutorials
prasadseemakurthi/machine_learning
Python coded examples and documentation of machine learning algorithms.
prasadseemakurthi/machinelearningbootcamp
boilerplate code, scripts, modules, data for CCA 2-day Machine Learning Bootcamp
prasadseemakurthi/Meetup-Fall-2013
Slides, code, and other information relating to the Fall 2013 Meetups
prasadseemakurthi/ml-with-spark
Spark MLlib binary classification implementation using decision trees. Uses credit rating data for the classification.
prasadseemakurthi/NER
prasadseemakurthi/pandas-cookbook
Recipes for using Python's pandas library
prasadseemakurthi/parallel_ml_tutorial
Tutorial on scikit-learn and IPython for parallel machine learning
prasadseemakurthi/python-data-visualization-course
Course materials for teaching data visualization in Python.
prasadseemakurthi/scala_school2
Scala School 2
prasadseemakurthi/sklearn_pycon2015
Materials for my Pycon 2015 scikit-learn tutorial.
prasadseemakurthi/sklearn_scipy2013
Scikit-learn tutorials for the Scipy 2013 conference
prasadseemakurthi/sklearn_tutorial
Materials for my scikit-learn tutorial
prasadseemakurthi/sta-663-2015
Course materials for STA663
prasadseemakurthi/sta-663-2016
STA663 Statistical Computing and Computation, Spring 2016
prasadseemakurthi/stanford_dl_ex
Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial
prasadseemakurthi/stat212b
Topics Course on Deep Learning UC Berkeley
prasadseemakurthi/theano-tutorial
A collection of tutorials on neural networks, using Theano
prasadseemakurthi/tutorials
prasadseemakurthi/warriorjs
Game written in JavaScript for learning JavaScript and artificial intelligence.
prasadseemakurthi/wordVectors
An R package for creating and exploring word2vec and other word embedding models