Pinned Repositories
AlgorithmsSedgewick
Code from the book "Algorithms" (4th ed.) by Robert Sedgewick and Kevin Wayne (original, and my solutions to exercises).
Concurrency
Multithreading examples(with Presentation) in Java
connection
Spring based project template
data-science-ipython-notebooks
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, Spark, Hadoop MapReduce, HDFS, matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes
google-interview-university
A complete daily plan for studying to become a Google software engineer.
jboss-template
Template for J2EE development based on JBoss stack of technologies
kaggle-titanic
A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstartes basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.
pandas-cookbook
Recipes for using Python's pandas library
patterns
patterns
python-machine-learning-book
The "Python Machine Learning" book code repository and info resource
ishulga's Repositories
ishulga/AlgorithmsSedgewick
Code from the book "Algorithms" (4th ed.) by Robert Sedgewick and Kevin Wayne (original, and my solutions to exercises).
ishulga/Concurrency
Multithreading examples(with Presentation) in Java
ishulga/connection
Spring based project template
ishulga/data-science-ipython-notebooks
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, Spark, Hadoop MapReduce, HDFS, matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes
ishulga/google-interview-university
A complete daily plan for studying to become a Google software engineer.
ishulga/jboss-template
Template for J2EE development based on JBoss stack of technologies
ishulga/kaggle-titanic
A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstartes basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.
ishulga/pandas-cookbook
Recipes for using Python's pandas library
ishulga/patterns
patterns
ishulga/python-machine-learning-book
The "Python Machine Learning" book code repository and info resource
ishulga/pycon-pandas-tutorial
PyCon 2015 Pandas tutorial materials
ishulga/pyconuk-introtutorial
practical introduction to pandas and scikit-learn via Kaggle problems
ishulga/scientific-python-lectures
Lectures on scientific computing with python, as IPython notebooks.
ishulga/sklearn_pandas_tutorial
EuroScipy 2014 tutorial: Introduction to predictive analytics with pandas and scikit-learn
ishulga/spring-data-book
Spring Data - The Definitive Guide - Modern Data Access for Enterprise Java Developers
ishulga/wstore
Project for applying and testing JBoss technologies.