niallmartin
Data Scientist working in Google, Dublin. PhD in ML from University of Cambridge.
GoogleDublin
Pinned Repositories
algorithmic-toolbox
awesome-causality-algorithms
An index of algorithms for learning causality with data
Coronavirus-R0-Ireland
Creating a workbook to measure the R0 for coronavirus in ireland
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
python-cheatsheet
Comprehensive Python Cheatsheet
Python-for-Algorithms--Data-Structures--and-Interviews
Files for Udemy Course on Algorithms and Data Structures
PythonDataScienceHandbook
Jupyter Notebooks for the Python Data Science Handbook
Wes_McKinney_Pydata_Book_Code
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
niallmartin's Repositories
niallmartin/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
niallmartin/python-cheatsheet
Comprehensive Python Cheatsheet
niallmartin/PythonDataScienceHandbook
Jupyter Notebooks for the Python Data Science Handbook
niallmartin/Wes_McKinney_Pydata_Book_Code
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
niallmartin/algorithmic-toolbox
niallmartin/awesome-causality-algorithms
An index of algorithms for learning causality with data
niallmartin/Coronavirus-R0-Ireland
Creating a workbook to measure the R0 for coronavirus in ireland
niallmartin/blog-1
Source code for my personal blog
niallmartin/CLRS
:notebook:Solutions to Introduction to Algorithms
niallmartin/covid-19
A collection of work related to COVID-19
niallmartin/cs231n.github.io
Public facing notes page
niallmartin/DataSciencePython
common data analysis and machine learning tasks using python
niallmartin/Dijkstras_Algorithm
Here I implement a shortest path algorithm to find the minimum distance between nodes in a graph
niallmartin/eo-nytimes
Update Electric Objects with NYTimes frontpage.
niallmartin/FinanceOps
Research in investment finance with Python Notebooks
niallmartin/handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
niallmartin/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
niallmartin/intro-to-probability-solutions
Solutions to the exercises in Grinstead and Snell's Introduction to Probability
niallmartin/mindpark
Testbed for deep reinforcement learning algorithms
niallmartin/niallmartin.github.io
niallmartin/open-quant-live-book
An open source, hands-on and fully reproducible book in quantitative finance, data science and econophysics. Join us and help Make Wall Street Great Again!
niallmartin/pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
niallmartin/pandas_exercises
Practice your pandas skills!
niallmartin/Python-for-Finance
iPython notes, and examples from the YouTube series by sentdex, Python Programming for Finance.
niallmartin/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
niallmartin/self-driving-car-nd
Udacity's Self-Driving Car Nanodegree project files and notes.
niallmartin/SQL
List all SQL interview questions
niallmartin/tensorflow
Computation using data flow graphs for scalable machine learning
niallmartin/TensorFlow-Examples
TensorFlow tutorials and code examples for beginners
niallmartin/udacity-deep-learning
Udacity Deep Learning MOOC assignments