johan010

Two-sigma-kaggle-challenge

Challenge on Kaggle where market and news data is used to make predictions.

adanet

Fast and flexible AutoML with learning guarantees.

audio-classification-pytorch

In this project, several approaches for training/finetuning an audio gender recognition is provided. The code can simply be used for any other audio classification task by simply changing the number of classes and the input dataset.

Churn_Modelling-

Churn_Modelling using Keras

cookiecutter-data-science

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

CryptoBot

Cryptocurrency bot using Polo exchange

Electrospinning-using-4-steppers

FAI-notes

Some notes, tutorials, and some experimentation with the fast.ai library (https://github.com/fastai/fastai)

Machine-Learning_Course

Projects done while completing the Udemy Python for data science/machine learning course

Text-classification

This model takes in short phrases for 3 language and predicts which language it is.

imglab

To speedup and simplify image labeling/ annotation process with multiple supported formats.

is-duckworth-it

Attempt to quantify the accuracy of the mystical duckworth lewis system

johan010.github.io

Neural_net_from_scratch

writing a neural net from scratch using Python

Pytorch-Implementations

Pytorch Implementation examples

Soccer-world-cup-predictor--for-fun-

Predictor written to compete in Superbru

testrep

Titanic

Kaggle Titanic exercise