Akhila Gomadam Padmanaban's starred repositories
awesome-network-analysis
A curated list of awesome network analysis resources.
netsci-labs
(In progress) Network science laboratories. Covers graph theory, random graphs and ML on graphs
Data-Engineering-HowTo
A list of useful resources to learn Data Engineering from scratch
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
GPS-Data-Mining
Simple data-mining practice based on Taxi Service Trajectory. Here is a set of assignments for a data mining course during a semester.
resume.github.com
Resumes generated using the GitHub informations
foundations-of-security
Source code for 'Foundations of Security' by Christoph Kern, Anita Kesavan, and Neil Daswani
Geeksforgeeks
Solutions to problem on Geeksforgeeks.org
geeksforgeeks-sudo-placement
Solutions for GeeksforGeeks Sudo Placement
99-problems
This is an adaptation of the Ninety-Nine Prolog Problems written by Werner Hett.
Data-Science--Cheat-Sheet
Cheat Sheets
awesome-ml-for-cybersecurity
:octocat: Machine Learning for Cyber Security
mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
MarslandMLAlgo
Code and data for the second edition of the textbook `Machine Learning: An Algorithm Perspective" by Stephen Marsland.
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.
dragon-book-exercise-answers
Compilers Principles, Techniques, & Tools (purple dragon book) second edition exercise answers. 编译原理（紫龙书）第2版习题答案。
panama-papers-dataset-2016
Structured data about Panama papers collected from official ICIJ website
awesome-python-applications
💿 Free software that works great, and also happens to be open-source Python.
Learn_Data_Science_in_3_Months
This is the Curriculum for "Learn Data Science in 3 Months" By Siraj Raval on Youtube
dive-into-machine-learning
Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)
phd-thesis
Repository of my thesis "Understanding Random Forests"
awesome-random-forest
Random Forest - a curated list of resources regarding random forest
machine_learning_examples
A collection of machine learning examples and tutorials.
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.