morgan-tam

Satellite_Flood_Segmentation_of_Harvey

Project-Benson

First project in Metis, Using MTA data

100-pandas-puzzles

100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

awesome-computer-vision

A curated list of awesome computer vision resources

awesome-public-datasets

A topic-centric list of high-quality open datasets in public domains. Propose NEW data ☛☛☛☛☛☛

biobert

BioBERT: a pre-trained biomedical language representation model for biomedical text mining

capsule_networks

This is the code for "Capsule Networks: An Improvement to Convolutional Networks" by Siraj Raval on Youtube

cvx_short_course

Materials for a short course on convex optimization.

Machine_Learning_Coursera

Machine Learning on Coursera using Python

Scraped_Amazon_Reviews_Regression

cvxpy

A Python-embedded modeling language for convex optimization problems.

dlbook_exercises

Exercises for the Deep Learning textbook at www.deeplearningbook.org

dsp

Metis Data Science Bootcamp - Official Prework Repository

Elements-of-Statistical-Learning

Contains LaTeX, SciPy and R code providing solutions to exercises in Elements of Statistical Learning (Hastie, Tibshirani & Friedman)

ESL_Study

A repo for "Elements of Statistical Learning" study slack team

forecasting

Time Series Forecasting Best Practices & Examples

ggd-poirot

Tutorials to help students complete the Metis/DG data project #belgianjamesbond

ISLR-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

models

Models built with TensorFlow

morgan-tam.github.io

MSK_Precision_Medicine_Challenge

https://www.kaggle.com/c/msk-redefining-cancer-treatment

MSongsDB

Code for the Million Song Dataset, the dataset contains metadata and audio analysis for a million tracks, a collaboration between The Echo Nest and LabROSA. See website for details.

RasterFairy

The purpose of Raster Fairy is to transform any kind of 2D point cloud into a regular raster whilst trying to preserve the neighborhood relations that were present in the original cloud. A typical use case is if you have a similarity clustering of images and want to show the images in a regular table structure.

statistical_learning

Notes on The Elements of Statistical Learning

ThinkStats2

Text and supporting code for Think Stats, 2nd Edition

YouTokenToMe

Unsupervised text tokenizer focused on computational efficiency