emmygold1 Goto Github PK

1day-notebooks

appliances-energy-prediction-data

Data sets and scripts for the publication in Energy and Buildings

automated-feature-engineering

Automated feature engineering in Python with Featuretools

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-public-datasets

An awesome list of high-quality open datasets in public domains (on-going). By everyone, for everyone!

berkeley-stat-157

Homepage for STAT 157 at UC Berkeley

biostat-578

A repository for all of my teaching material

book-socialmediaminingpython

Companion code for the book "Mastering Social Media Mining with Python"

breast-cancer-scikitlearn

simple tutorial on Machine Learning with Scikitlearn

burgr_package_discovery

A short talk on ways I discover R packages, and R package stats.

casecrossover

An R package for performing case-crossover and case-time-control analyses in an observational database in the OMOP Common Data Model.

cheatsheets

RStudio Cheat Sheets

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

cnn-from-scratch

A Convolutional Neural Network implemented from scratch (using only numpy) in Python.

code

Compilation of R and Python programming codes

codebookr

An R package to aid cleaning, checking and formatting data using metadata read from Codebooks or Data Dictionaries.

coinmarketcappy

Python 3+ API to retrieve, scrape and cache historical data from coinmarketcap.com

coursera-r-programming

Repo for Coursera.com online course: R Programming

coursera-r-programming-1

Notes from the R programming Coursera course

crossover

Crossover Designs

cs231n-2019

Notes and assignment solution to http://cs231n.stanford.edu

cs231n-2020

Solutions to Assignments of CS231n: Convolutional Neural Networks for Visual Recognition(http://cs231n.github.io/)

d2l-book

Books with Jupyter notebooks

d2l-en

Dive into Deep Learning: an interactive deep learning book with code, math, and discussions

data

data-manipulation-workshop

An introduction to data manipulation in R via dplyr and tidyr.

data-processing-and-visualization

This document forms the basis of potentially several workshops/talks that get into everyday programming with R.

data-science-books

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

data-tools

Collection of code snippets for working with data.