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course_material

Course material

coursera-machine-learning

Coursera Machine Learning - Python code

coursera-machinelearning-python

Skeleton code for doing the coursera machine learning course in the form of an ipython notebook.

coursera-ml-andrewng

use numpy, scipy, and tensorflow to implement these basic ML model and learning algorithm

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

coursera-ml-julia

Coursera Stanford Machine Learning course in Julia

coursera-ml-py

Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera

coursera-stanford

Stanford

coursera-stanford-ml-python

Coursera/Stanford Machine Learning course assignments in python

coursera-university-of-washington

University of Washington

coursera.computationallinearalgebra

coursera_data_structures_and_algorithms_specialization

My solution to Data Structures and Algorithms Specialization (Algorithmic Toolbox; Data Structures; Algorithms on Graphs; Algorithms on Strings; Advanced Algorithms and Complexity; Genome Assembly Programming Challenge)

coursera_linear-and-integer-programming

This is the problem solutions and program assignments for the Coursera course Linear and Integer Programming. This course can be found here: https://www.coursera.org/course/linearprogramming

coursera_machine_learning_exercises

Machine Learning by Andrew Ng from Coursera

coursera_machinelearning_assignments

The assignments through several machine learning courses at Coursera

courseraml

I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!

courses

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

courses-1

courses-2

fast.ai Courses

courses-intro-to-git

Introduction to Git for Data Science

courses-intro-to-sql

DataCamp's course: Intro to SQL for Data Science

courses-introeconometrics-ph.d

This course provides a graduate level introduction to probability and statistics. The course was designed for economists starting their doctoral education. Edits, comments, and suggestions are welcome.

courses-kaggle-house-prices

courses-timeseries-undergraduate

This course will provide a basic, yet rigorous, introduction to Time Series Econometrics. This course is intended for upper-level undergraduates and beginning M.A./M.S. students.

coursework

summer school coursework

covid

data viz related to COVID-19

covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

covid-19-simulator

An in browser simulator for covid 19 propagation

covid-19-text-analyses

covid-20

A collection of work related to COVID-19