hodwilliam Goto Github PK

10-steps-to-become-a-data-scientist

📢 Ready to learn! you will learn 10 skills as data scientist:📚 Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.

2015-cs171-homework

Homework submissions for Harvard's CS171: Visualization

2019

CS 171 website for 2019

2019-cs109b

altair-tutorial

Notebooks for the Altair tutorial

altair_notebooks

Tutorial and Examples Jupyter Notebooks for Altair

amgit

Modified version of Pro Git

anuditverma.github.io

Anudit Verma's blog:

asdfree

analyze survey data for free

book-notes

Notes from books and other interesting things that I've read.

bookdown-demo

A minimal book example using bookdown

causal-inference-1

Causal Inference 1 Mixtape Session

causal-inference-2

Causal Inference II Mixtape Session taught by Scott Cunningham

codingclub

collaboration

This is a one-hour introduction to collaborating on GitHub

course-materials

Repository for materials used in INFO206.

course-starter-python

👩‍🏫🐍 Starter repo for building interactive Python courses

coursera_test

coursera_test repository

csci_e_82a_probabalistic_programming

cse515t

Materials for Bayesian Methods in Machine Learning Course

data-science-at-the-command-line

Data Science at the Command Line

data-science-interview-questions-and-answers

Data science interview questions with answers. Not ideally (yet)

datacamp_python_data_science_toolbox_1

datacamp_python_data_science_toolbox_2

dataviz

Support files for "Data Visualization: A Practical Introduction"

deep-learning-with-r-notebooks

R notebooks for the code samples of the book "Deep Learning with R"

deeplearning.ai-summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

diid17-transferlearningnightlights

Problem Set for the Data-Intensive International Development Class : Predicting poverty using nightlights intensity in Rwanda

dissertateusu

Materials for writing a dissertation at Utah State University in R Markdown

ditching-excel-for-python

Functionalities in Excel translated to Python