I hereby claim:
- I am simplymathematics on github.
- I am simplymathematic (https://keybase.io/simplymathematic) on keybase.
- I have a public key ASDdXBYOOtb-8BaMAfRlTCdDW9vR8at5wdMs6xGGq3HhCwo
To claim this, I am signing this object:
I hereby claim:
To claim this, I am signing this object:
@"%SystemRoot%\System32\WindowsPowerShell\v1.0\powershell.exe" -NoProfile -InputFormat None -ExecutionPolicy Bypass -Command " [System.Net.ServicePointManager]::SecurityProtocol = 3072; iex ((New-Object System.Net.WebClient).DownloadString('https://chocolatey.org/install.ps1'))" && SET "PATH=%PATH%;%ALLUSERSPROFILE%\chocolatey\bin" | |
choco install wget | |
wget | |
"EXTERNALTICKETNUMBER";"ACCOUNT";"TICKETDATE";"ACTUALSTARTDATETIME";"ACTUALFINISHDATETIME";"TICKETCLASS";"HOSTNAME";"APPORSYSID";"OSNAME";"OSCLASS";"MACHINECLASS";"ARCHITECTURE";"TAD";"PROCTYPE";"PHYSICALMEMORY";"OsType";"MachineType";"Vendor";"ResolutionClass";"MachineTypeSRM";"CPU_PCT";"MEM_PCT";"N_CPU";"MEM_GB";"N_VMS";"CAPACITY_GB";"USED_GB";"USED_PCT";"FREE_PCT";"N_DISKS";"TOT_KPPS";"TOT_KBPS";"N_OFF";"MonitoringStartDate" | |
"3684ef4cdd667417c443dbb60a3c6966";"E";"2012-07-01 01:09:00";"2012-07-01 01:21:00";"2012-07-01 02:45:00";"Crash";"d5e6b5d344903dd1561522e75631ab76";"d477ed4917e27d9a48172b195f764cb2";"Microsoft Windows";"Microsoft Windows 2003";"VIRTUAL_MACHINE";NULL;"0000-00-00";"Intel(R) Xeon(R) CPU X5670 @ 2.93GHz";"3839";"Windows";"VM";NULL;"Reboot";"VM";NULL;NULL;NULL;NULL;NULL;"85.33718";"20.03126";"23.473074690304976";"76.52694288702767";"3";"155.24776";"52.75020000000001";"2";"2011-01-31" | |
"1beada3ebe9217583e8028acf668c985";"E";"2012-07-01 02:59:00";"2012-07-01 03:00:00";"2012-07-01 0 |
# Facial Recognition and Combatting Sampling Bias | |
## Executive Summary | |
Data: | |
Potentially:https://www.nist.gov/srd/nist-special-database-18 | |
National Institute for Standards dataset for mugshots. | |
Potentially: https://lionbridge.ai/datasets/5-million-faces-top-15-free-image-datasets-for-facial-recognition/ | |
Potentially: http://robotics.csie.ncku.edu.tw/Databases/FaceDetect_PoseEstimate.htm | |
Other Faces in the wild | |
# Librerouter Testing and Coverage Mapping | |
Pros: Very useful, great portfolio piece, front-end/db/rest practice. Light C++/Sh development. Distributed development. | |
Cons: Hardware dependency, very hard to accurately test a large coverage map without deploying code to a target system | |
Data: From libremap.net, collected in real-time on target hardware, or simulated with qemu | |
Goal: Front-end application for displaying real-time service data as fed from target hardware | |
# Real-time Chat Bot | |
Pros: Fun hack, great portfolio piece, tensorflow RT practice | |
Cons: Expensive, no immediate value to market or open source project | |
Data: |
Country | LifeExp | InfantSurvival | Under5Survival | TBFree | PropMD | PropRN | PersExp | GovtExp | TotExp | |
---|---|---|---|---|---|---|---|---|---|---|
Afghanistan | 42 | 0.835 | 0.743 | 0.99769 | 0.000228841 | 0.000572294 | 20 | 92 | 112 | |
Albania | 71 | 0.985 | 0.983 | 0.99974 | 0.001143127 | 0.004614439 | 169 | 3128 | 3297 | |
Algeria | 71 | 0.967 | 0.962 | 0.99944 | 0.001060478 | 0.002091362 | 108 | 5184 | 5292 | |
Andorra | 82 | 0.997 | 0.996 | 0.99983 | 0.003297297 | 0.0035 | 2589 | 169725 | 172314 | |
Angola | 41 | 0.846 | 0.74 | 0.99656 | 7.04E-05 | 0.001146162 | 36 | 1620 | 1656 | |
Antigua and Barbuda | 73 | 0.99 | 0.989 | 0.99991 | 0.000142857 | 0.00277381 | 503 | 12543 | 13046 | |
Argentina | 75 | 0.986 | 0.983 | 0.99952 | 0.002780191 | 0.000741044 | 484 | 19170 | 19654 | |
Armenia | 69 | 0.979 | 0.976 | 0.9992 | 0.003698671 | 0.004918937 | 88 | 1856 | 1944 | |
Australia | 82 | 0.995 | 0.994 | 0.99993 | 0.002331953 | 0.009149391 | 3181 | 187616 | 190797 |
#!/bin/bash | |
# Define physical ethernet interface to be bridged | |
# with TAP interface(s) above. | |
eth="eth0" | |
eth_ip="192.168.42.2" | |
eth_netmask="255.255.255.0" | |
eth_broadcast="192.168.42.255" | |
eth_gateway="192.168.42.1" | |
eth_mac="XX:XX:XX:XX:XX:XX" |
I want to build a chloropleth map that shows various internet usage statistics around the world.
The digital divide is real and mapping it is an important first step
World Bank Data I can use the api at the World Bank to collect statistics for various data points.
import pandas as pd | |
import numpy as np | |
import sys | |
import argparse | |
import time | |
def eeg_clean(file_input, file_output): | |
data1 = pd.read_csv(file_input, sep = ';') | |
data1.dropna(inplace = True) |