rock-feller Goto Github PK

basemap

bigdata_aims_senegal

Big Data Lectures supporting data, code and notes

bigdata_aims_senegal_ii

Repository containing slides and material for the "Big Data II" lecture at AIMS Senegal.

climate_data_phd

This repository contains the real world climate data to be used throughout Rockefeller's PhD

dat8

General Assembly's 2015 Data Science course in Washington, DC

data-analysis

Data Analysis Using Python

data-collector

for the data science purpose

data-mining-python-script

It contain various script on web crawling/ data mining of social web(RSS,facebook,twitter,Linkedin)

data-science-aimscmr_2019

Here, find all of the materials for the Data Science Course at AIMS Cameroon

data_prep

data_visualization_bokeh

Working, learning and sharing Bokeh visualizations!

datahack-challenge

The DATAHACK Challenge

datamanip_2021

This repository contains a set of exercises on Data Manipulation with Pandas. From Data Cleaning, grouping, indexing up to Data crunching

dataprep_pandas

This repo contains a set of exercises that drives your journey into Data Analysis with Pandas: From Data loading, cleaning, indexing up to preprocessing

datascience_ift6758

datascience_workshop_aims_sa

A collection of Jupyter Notebooks files used during the Data Science Workshop in AIMS South Africa, April 2018.

datasets_for_education

This is a repository for datasets that could be used for teaching purposes

debut

Official Commencement of my Journey on GitHub

exploratory_dataanalysis_python

eading, Exploring, Visualizing the data about students in Portugal. Use of Statistical Methods to predict grades of students based on information about their background, family, habits

fatiando

Python toolkit for modeling and inversion in geophysics

free-springer-books

A Python code to download the Springer Books recently released

geophysics

Some code and excercise solutions related to the course of Geophysics at Universidad de los Andes, Colombia

get_the_springer-books

A Python code to download the Springer Books recently released

hackerranck_python_challenges

Simple challenges solved from Hackeranck. They are no universal solutions.

intro-to-ml

Spring School on Mathematics of Data Science 2019

introduction_to_r

Basic Interaction with R. Ideal for beginners.

ml_with_text_data_kevmar

Jupyter Notebooks that shows how to build a predictive model from their own text-based data, including feature extraction, model building and model evaluation.

mtpy

collection of python tools for standard MT data processing

obspy

ObsPy: A Python Toolbox for seismology/seismological observatories.

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more