chriscross00

cci

Work done in python for Cracking the Coding Interview

challenges

PyBites Code Challenges

clean-visualize

A repo of random datasets that I'll clean up and/or visualize. Done in R and Python.

cookiecutter-data-science

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

ISL_labs

Introduction to Statistical Learning labs done in R Markdown

learn_SE

Learning software engineering best practices

ml_py

Exploring machine learning with scikit-learn and other Python libraries.

projects

Data science projects

stat_inference

Working through Statistical Inferences by Casella and Berger

stat_tests

Statistical tests done in Python and R

coursera_design

The University of Alberta's course on Design Patterns and Software Architecture

daily_coding_problem

Solutions for Daily Coding Problem interview questions done in Python

Devereux_Slough_Logger

Time series analysis of water logger data

EDA_py

Learning to use Pandas, Numpy

learn_go

Explore go through tutorials and mini projects

learn_scala

A collection of Scala tutorials and mini projects.

mini_projects

Small projects to learn a technique or technology

ML_Ng

Coursera's Machine Learning labs taught by Andrew Ng done in Python

practice_python

project_euler

learn

prophet

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

R-for-DS-Work

Constantly learning and improving

rappor

RAPPOR: Privacy-Preserving Reporting Algorithms

stat_rethinking

Working through Richard McElreath's Statistical Rethinking

sudoku_solver

Creating a Sudoku solver with Python

time_series