Aymeric Flaisler's repositories
hyperopt-sklearn
Hyper-parameter optimization for sklearn
sklearn_snippets
snippets template aimed at jupyter notebook snippets extension (Nbextensions/snippets)
algorithms
Minimal examples of data structures and algorithms in Python
automation_airflow
automation of report retrieval through Apache Airflow
clear-lambda-storage
Removes old versions of Lambda functions
d3_responsive_templates
Collection of simple D3 templates with data provided by flask/py
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.
doc2audiobook
Convert text documents to high fidelity audio(books).
dsi-cross-validated-readings
Selected questions and answers from stats.stackexchange.com
FOMC-Statements-Minutes-Scraper
A convenient class for scraping all the existing FOMC meeting statements
generative_art
A collection of my generative artwork, mostly with Processing in Python mode
graph_examples_jupyter_notebook
Some simple examples of graph with jupyter nb + matplotlib / seaborn
gridSearch_helper
Create the hyperparameters' dictionary automatically
kaggle-avazu-ctr
Kaggle competition Click-Through Rate Prediction (Avazu).
markdown-github-bear-toc
Autogenerated Table of Contents for Github Markdown or Bear Notes
pl-predictions-using-fifa
Training a neural network to predict the outcome of a football match using fifa ratings
predict_next_purchase
Predicting a customer's next purchase using automated feature engineering
terraform-up-and-running-code
Code samples for the book "Terraform: Up & Running" by Yevgeniy Brikman
thank-you-github
An open letter of gratitude to GitHub
tips_and_tricks_Python
List of tips and tricks I find useful in python 2.7
yellowbrick
Visual analysis and diagnostic tools to facilitate machine learning model selection.