KenHollandWHY's repositories
modern-pandas
Source code for my collection of articles on using pandas.
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
2016-01-tennis-betting-analysis
Methodology and code supporting the BuzzFeed News/BBC article, "The Tennis Racket," published Jan. 17, 2016.
AIND-Constraint_Satisfaction
Constraint Satisfaction Problem lab to solve the N-Queens problem
AIND-Simulated_Annealing
Jupyter notebook exercise to check your understanding of simulated annealing
BayesianOptimization
A Python implementation of global optimization with gaussian processes.
coursera-ML
use numpy and tensorflow to implement these basic ML model and learning algorithm
Data-Analysis-and-Machine-Learning-Projects
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
hackerrank
Scripts for HackerRank problems.
intro-to-rl
Working solutions to https://webdocs.cs.ualberta.ca/~sutton/book/ebook/the-book.html
introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
kaggle_ndsb2017
Kaggle datascience bowl 2017
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
learningwithdata
Code for Learning with Data Blog
MLAlgorithms
Minimal and clean examples of machine learning algorithms
scientific-python-lectures
Lectures on scientific computing with python, as IPython notebooks.
scikit-learn-videos
IPython notebooks from the scikit-learn video series
seasonal
Robustly estimate trend and periodicity in a timeseries.
sklearn-pandas
Pandas integration with sklearn
TopDeepLearning
A list of popular github projects related to deep learning
vowpal_wabbit
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.