kklarsen Goto Github PK

-statistical-modeling-for-data-science-applications

Statistical modeling lies at the heart of data science. Well crafted statistical models allow data scientists to draw conclusions about the world from the limited information present in their data. In this three credit sequence, learners will add some intermediate and advanced statistical modeling techniques to their data science toolkit. In particular, learners will become proficient in the theory and application of linear regression analysis; ANOVA and experimental design; and generalized linear and additive models. Emphasis will be placed on analyzing real data using the R programming language.

anomalydetection

Anomaly Detection with R

artificial-intelligence-strategy-policy

choropleth-map-netherlands-bokeh-python

Jupyter notebook showing the use of bokeh (Python) to implement a choropleth map

cookbook-code

Recipes of the IPython Cookbook, the definitive guide to high-performance scientific computing and data science in Python

cookbook-data

Datasets used in the IPython Cookbook, the definitive guide to high-performance scientific computing and data science in Python

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

data

Data and code behind the stories and interactives at FiveThirtyEight

datasciencecoursera

repo for data science course

datasharing

The Leek group guide to data sharing

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deep-learning-models

Keras code and weights files for popular deep learning models.

dlaicourse

Notebooks for learning deep learning

ethereum_voting_dapp

Simple Ethereum Voting dapp using Truffle framework

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

exponential_distribution

Study of the exponential distribution

fashion-mnist

A MNIST-like fashion product database. Benchmark :point_right:

get-and-cleaning-data_course-project

This repo contains my course project to Coursera "Getting And Cleaning Data" course that is part of Data Science specialization.

getting_and_cleaning_data_project

Prepare tidy smartphone data based on Human Activity Data that can be used for later analysis.

git-github

Repo for DevOps training

googlevis_on_shiny

googleVis on shiny tutorial

hue

Let’s Big Data. Hue is an open source Web interface for analyzing data with Hadoop and Spark.

introduction_to_googlevis

Introduction to googleVis

jenkins_upgradev3

keras

Deep Learning for humans

keras-preprocessing

Utilities for working with image data, text data, and sequence data.

markovchains-and-mdps

nn-from-scratch

Implementing a Neural Network from Scratch

openapi

Course on OpenAPI

oreilly-matplotlib-course

Jupyter notebooks from my O'Reilly Media course "Matplolib for Developers: Data Visualization and Analysis with Python"