aflaisler
Data scientist. I love dogs, art with D3 and cars (and occasionally time series, speech recognition and NLP).
endource.comLondon, UK
Pinned Repositories
affiliate_networks_data
Retrieve, merge and clean data from the different affiliate networks
algorithms
Minimal examples of data structures and algorithms in Python
automation_airflow
automation of report retrieval through Apache Airflow
ay_bio
case_study_churn_prediction
The aim of this project is to predict the churn rate from a set of raw data.
case_study_w4d5
The goal of this repo is to predict the sale price of a particular piece of heavy equipment at auction based on it's usage, equipment type, and configuration. The data is sourced from auction result postings and includes information on usage and equipment configurations.
checkSum
Check md5 sum of downloaded files using python's hashlib library
f1_2017
This project aims to predict the fastest and average laps of a formula one driver for the season 2017.
hyperopt-sklearn
Hyper-parameter optimization for sklearn
sklearn_snippets
snippets template aimed at jupyter notebook snippets extension (Nbextensions/snippets)
aflaisler's Repositories
aflaisler/f1_2017
This project aims to predict the fastest and average laps of a formula one driver for the season 2017.
aflaisler/hyperopt-sklearn
Hyper-parameter optimization for sklearn
aflaisler/sklearn_snippets
snippets template aimed at jupyter notebook snippets extension (Nbextensions/snippets)
aflaisler/algorithms
Minimal examples of data structures and algorithms in Python
aflaisler/automation_airflow
automation of report retrieval through Apache Airflow
aflaisler/ay_bio
aflaisler/clear-lambda-storage
Removes old versions of Lambda functions
aflaisler/d3_responsive_templates
Collection of simple D3 templates with data provided by flask/py
aflaisler/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.
aflaisler/deep_learning
aflaisler/doc2audiobook
Convert text documents to high fidelity audio(books).
aflaisler/dsi-cross-validated-readings
Selected questions and answers from stats.stackexchange.com
aflaisler/etl_lih
aflaisler/flight_app
aflaisler/FOMC-Statements-Minutes-Scraper
A convenient class for scraping all the existing FOMC meeting statements
aflaisler/fraud_detection_testing
aflaisler/generative_art
A collection of my generative artwork, mostly with Processing in Python mode
aflaisler/graph_examples_jupyter_notebook
Some simple examples of graph with jupyter nb + matplotlib / seaborn
aflaisler/gridSearch_helper
Create the hyperparameters' dictionary automatically
aflaisler/hyperopt
Distributed Asynchronous Hyperparameter Optimization in Python
aflaisler/kaggle-avazu-ctr
Kaggle competition Click-Through Rate Prediction (Avazu).
aflaisler/lecture_decision_trees
aflaisler/markdown-github-bear-toc
Autogenerated Table of Contents for Github Markdown or Bear Notes
aflaisler/pl-predictions-using-fifa
Training a neural network to predict the outcome of a football match using fifa ratings
aflaisler/predict_next_purchase
Predicting a customer's next purchase using automated feature engineering
aflaisler/st_anal
aflaisler/terraform-up-and-running-code
Code samples for the book "Terraform: Up & Running" by Yevgeniy Brikman
aflaisler/thank-you-github
An open letter of gratitude to GitHub
aflaisler/tips_and_tricks_Python
List of tips and tricks I find useful in python 2.7
aflaisler/yellowbrick
Visual analysis and diagnostic tools to facilitate machine learning model selection.