janrth

air_quality

Applying XG Boost for multi-step forecasting

car_price

Building a neural net for a regression problem using pytorch. Plus parameter optimization using Ray.

Certificates

chat_bot

Simple chat bot with training pipeline and pytorch 2 layers feed forward NN

cnn_fashion_mnist

CNN using Keras + visualisation of feature maps + saving logs for tensorbard

logistic_regression

Using Numpy to optimize the log-loss via gradient descent for a binary classifier.

olscheck

pytorch-ts_examples

Applying pytorch-ts to univariate and multivariate use cases

reinforcement_learning

Model based learning + various model free based learning examples

time-series-stuff

Time-series cross-validation using Optuna, plus some forecasting errors.

janrth/olscheck

janrth/air_quality

Applying XG Boost for multi-step forecasting

janrth/pytorch-ts_examples

Applying pytorch-ts to univariate and multivariate use cases

janrth/car_price

Building a neural net for a regression problem using pytorch. Plus parameter optimization using Ray.

janrth/Certificates

janrth/chat_bot

Simple chat bot with training pipeline and pytorch 2 layers feed forward NN

janrth/cnn_fashion_mnist

CNN using Keras + visualisation of feature maps + saving logs for tensorbard

janrth/logistic_regression

Using Numpy to optimize the log-loss via gradient descent for a binary classifier.

janrth/reinforcement_learning

Model based learning + various model free based learning examples

janrth/time-series-stuff

Time-series cross-validation using Optuna, plus some forecasting errors.

janrth/covid_19

Simple calculation using probability rules for real world example

janrth/deepglo

This repository contains code for the paper: https://arxiv.org/abs/1905.03806. It also contains scripts to reproduce the results in the paper.

janrth/GBRT-for-TSF

janrth/github_command_summary

Overview of relevant git commands: pdf + tex file

janrth/heart_failure_prediction

Using real world health data to predict death from heart attack. Using feature interaction and an ensemble prediction from logistic regression, random forest classifier and xg boost classifier showing best results.

janrth/linear_regression

Using Numpy to implement gradient descent optimisation for Linear Regression.

janrth/marketing_mix_model_inspired_optimization

Maximizing sales based on channel activities while taking in consideration a main constraint and diminishing marginal returns.

janrth/monthly_mortality

Time-series prediction using some SARIMA model

janrth/nearest_neighbor

Using numpy to build own k-nn algorithm. Testing it on dummy data to show importance that train and test data is coming from the same underlying distribution.

janrth/pytorch-ts

PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend

janrth/pytorch-workshop

janrth/sqlite3_example

Quick sqlite3 example on how to create, insert and query databases.

janrth/UK_traffic_data

10 years of UK traffic data. Classification task to identify fatality of an accident