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anomaly-detection

Machine Learning for anomaly detection - exercise case only

coding-exercises

My implementation of useful data structures, algorithms, as well as my solutions to programming puzzles.

cookiecutter_ds

flask_ml_model_deployment

Deployment of ML model using Flask on simple web service

home-credit-kaggle

Create end-to-end framework for Home Credit kaggle dataset on production level code

home_credit_kaggle

Create end-to-end framework for Home Credit kaggle dataset on production level code

ludwig

Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.

ludwig_tutorial

Ludwig: Uber open-source API that allows to train and test deep learning models without write a code. Use case tutorial on binary classification: fraud transactions identification

luigi

Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.

machine-learning

Content for Udacity's Machine Learning curriculum

ml_proj_template

initial project machine learning on server

nyc_taxi_trip_kaggle

EDA + prediction model on NYC Taxi Trip Kaggle's case

pysembler

An automatic ensembler of machine learning models in python

python_codingbat_practice

Beginner python codingbat practice

woe_binning_implementation

Implementation of WOE (Weight of Evidence) and binning techniques in python

zsh-config