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a-2017

Public Repository for cs109a, 2017 edition

ameshousing

art_of_data_visualization

The art of effective visualization of multi-dimensional data

auto-send-linkedin-connect-request

Automatically send Linkedin invites with personalized messages to a database of targeted profiles.

awesome-public-datasets

A awesome list of (large-scale) public datasets on the Internet. (On-going collection)

boringppl-meeting-summarization

brainweb

cnngeometric_pytorch

CNNGeometric PyTorch implementation

cpp-test-server

crash-course-on-python

A comprehensive curriculum of Python programming foundation

creating-customer-segments

Applied Unsupervised Learning techniques on product spending data collected for customers of a wholesale distributor to identify customer segments hidden in the data.

cs229-notes

data-engineer-roadmap

Learning from multiple companies in Silicon Valley. Netflix, Facebook, Google, Startups

data-project-guideline-from-netflix

"Data science is such a nebulous term. To some, it means data analytics; to some it is synonymous to machine learning; others think there is a data engineering flavor to it. The wide spectrum of possible responsibilities and the nuanced differences across companies or even teams within the same company make the identity evasive. You literally have to speak to a data scientist in company X to understand how company X sees data science. This guidline is inspired by a Netflix talk with a focus on the structure of a data science projects."

data-science-roadmap

Learning from multiple companies in Silicon Valley. Netflix, Facebook, Google, Startups

deeplearning-roadmap

Deep Learning path with multiple notebooks

ecc

Edge-Conditioned Convolutions on Graphs

flownote-dockers

frontend-solutions

fruit-images-dataset

Fruits-360: A dataset of images containing fruits

git-fundamentals

A starting point for discovering the wonderful world of Git, GitHub, and Git Annex (Assistant)

hasbrain-helper-files

Helper files for hasBrain notebooks

house-prices-advanced-regression-techniques

This repo. contains my various approaches towards the problem : https://www.kaggle.com/c/house-prices-advanced-regression-techniques

introduction-to-pandas

Materials for the D-Lab's pandas workshop

introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

java-test-server

k8s-gateway

linkedin-profiles-scraping

Automatically scrape the web data of people profiles on Linkedin based on a specific search query

lm

machine-learning-with-python

Python codes for common Machine Learning Algorithms