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bb4f

bma

bma-main

boombust

c-

ccm

chan_svinma

dissect

dts

A Keras library for multi-step time-series forecasting.

gittest

gps

gpslibr

hello-world

ideas

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

learntidytext

Learn about text mining 📄 with tidy data principles

ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

nowcasting

R package for Dynamic Factor Models with mixed frequencies and unbalanced panel :chart_with_downwards_trend:

propacad

rladies_shinydashboards

Shiny Dashboards Workshop for R-Ladies Philly

sar

selbosh.github.io

Personal web site, "Tea & Stats", built with blogdown and Hugo

svm-with-caret-package

Classification using SVM models. Trying to predict diabetes data taken from kaggle.com. There are three SVM models in 'R_SVM_with_Caret' file, using 'kernlab', 'pROC' & 'e1071' package via 'caret' package.

tensorflow

Computation using data flow graphs for scalable machine learning

textforecast

Forecasting and Regression Analysis using textual data.

themlbook

The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.

thesisdown

An updated R Markdown thesis template using the bookdown package

tidytext-tutorial

Materials for leading tutorials on text mining using tidy data principles

trysignrestrictions