KishManani

PyDataLondon2022

Slides for "Feature engineering for time series forecasting" talk

MSTL

Notebook to accompany MSTL article

DataTalksClub2022

Slides for "Feature engineering for time series forecasting" talk for DataTalks.Club given in August 2022.

m5-forecasting-tutorial

An end-to-end tutorial to forecast the M5 dataset using feature engineering pipelines and gradient boosting.

financial_forecasting_competition_g_research

My submission to the G Research Financial Forecasting Competition of 2018

feature_engine

Feature engineering package with sklearn like functionality

sktime

A unified framework for machine learning with time series

CAAF

A Python implementation of a cellular automaton model of atrial fibrillation, an abnormal heart rhythm.

KishManani

waterfall

An easy to use waterfall chart function for Python

kishan-dat-toxic-comment-challenge

Team Kishan-and-Dat R&D for Toxic Comment Challenge

statsmodels

Statsmodels: statistical modeling and econometrics in Python

machine_learning_from_scratch

Implement machine learning algorithms from scratch for learning purposes.

pagmo2

A C++ / Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.

prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

skforecast

Time series forecasting with scikit-learn models

tsibbledata

Example datasets for tsibble