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umerjamil16 / Installing MongoDB on a Cloud9 workspace
Last active January 1, 2020 18:51
Installing MongoDB on a Cloud9 workspace
sudo apt-get install -y mongodb-org
$ mkdir data
$ echo 'mongod --bind_ip=$IP --dbpath=data --nojournal --rest "$@"' > mongod
$ chmod a+x mongod
$ ./mongod
$ mongo
@umerjamil16
umerjamil16 / FILE Uploading API
Created November 1, 2016 06:03
FILE Uploading API
File Uploading API: .filestack.com/
@umerjamil16
umerjamil16 / Cloud IDEs
Created November 1, 2016 10:26
Cloud IDEs
http://plnkr.co/
@umerjamil16
umerjamil16 / Cloud IDEs
Created November 1, 2016 10:26
Cloud IDEs
http://plnkr.co/
@umerjamil16
umerjamil16 / #1 Introduction
Created November 15, 2016 07:52
Principles of Machine Learning - edX course - Notes
#1 Introduction
- 6 week duration course
- 1 Module per week
- 3 hours per week
- 35 minutes daily
@umerjamil16
umerjamil16 / config
Last active December 8, 2016 05:30
Config. Angular 2 on Cloud9 IDE
source <(curl -s https://angularbootcamp.com/c9a2cli)
ng server --port 8080 --live-reload-port 8082 --host 0.0.0.0
@umerjamil16
umerjamil16 / angular2.md
Created November 20, 2016 08:38
Angular 2 CLI Commands

Angular-CLI

Join the chat at https://gitter.im/angular/angular-cli

[![Build Status][travis-badge]][travis-badge-url] [![Dependency Status][david-badge]][david-badge-url] [![devDependency Status][david-dev-badge]][david-dev-badge-url] [![npm][npm-badge]][npm-badge-url]

Prototype of a CLI for Angular 2 applications based on the ember-cli project.

% Robotics: Estimation and Learning
% WEEK 3
%
close all
imagepath = './train';
Samples = [];
for k=1:11
% Load image
I = imread(sprintf('%s/%03d.png',imagepath,k));
@umerjamil16
umerjamil16 / IK_server.py
Created April 10, 2019 14:15
RoboND project code
#!/usr/bin/env python
# Copyright (C) 2017 Udacity Inc.
#
# This file is part of Robotic Arm: Pick and Place project for Udacity
# Robotics nano-degree program
#
# All Rights Reserved.
# Author: Harsh Pandya
@umerjamil16
umerjamil16 / adcom_predict.py
Created May 26, 2019 20:04
Predicting Student Admissions with Neural Networks - Udacity PyTorch Coursework
#!/usr/bin/env python
# coding: utf-8
# # Predicting Student Admissions with Neural Networks
# In this notebook, we predict student admissions to graduate school at UCLA based on three pieces of data:
# - GRE Scores (Test)
# - GPA Scores (Grades)
# - Class rank (1-4)
#
# The dataset originally came from here: http://www.ats.ucla.edu/