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mldeveloper01 / flare.json
Created September 10, 2017 13:50
Data file for sunburst demo
{
"name": "flare",
"children": [
{
"name": "analytics",
"children": [
{
"name": "cluster",
"children": [
{"name": "AgglomerativeCluster", "size": 3938},
@mldeveloper01
mldeveloper01 / stratified.R
Created September 21, 2017 14:33 — forked from mrdwab/stratified.R
Stratified random sampling from a `data.frame` in R
stratified <- function(df, group, size, select = NULL,
replace = FALSE, bothSets = FALSE) {
if (is.null(select)) {
df <- df
} else {
if (is.null(names(select))) stop("'select' must be a named list")
if (!all(names(select) %in% names(df)))
stop("Please verify your 'select' argument")
temp <- sapply(names(select),
function(x) df[[x]] %in% select[[x]])
@mldeveloper01
mldeveloper01 / stratified.R
Created September 21, 2017 14:33 — forked from mrdwab/stratified.R
Stratified random sampling from a `data.frame` in R
stratified <- function(df, group, size, select = NULL,
replace = FALSE, bothSets = FALSE) {
if (is.null(select)) {
df <- df
} else {
if (is.null(names(select))) stop("'select' must be a named list")
if (!all(names(select) %in% names(df)))
stop("Please verify your 'select' argument")
temp <- sapply(names(select),
function(x) df[[x]] %in% select[[x]])
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
File: stratified.py
Author: SpaceLis
Email: Wen.Li@tudelft.nl
Github: http://github.com/spacelis
Description:
Sampling in a stratified way. That is sampling from each subpopulation to
make the sample set more representative than simple random sampling. For

Advanced Functional Programming with Scala - Notes

Copyright © 2016-2017 Fantasyland Institute of Learning. All rights reserved.

1. Mastering Functions

A function is a mapping from one set, called a domain, to another set, called the codomain. A function associates every element in the domain with exactly one element in the codomain. In Scala, both domain and codomain are types.

val square : Int => Int = x => x * x
@mldeveloper01
mldeveloper01 / detect.py
Created November 1, 2017 08:28 — forked from Lukse/detect.py
Advanced OpenCV 3 python hole detection
import cv2
import sys
import numpy as np
camera = cv2.VideoCapture("video.avi")
# Setup BlobDetector
detector = cv2.SimpleBlobDetector_create()
params = cv2.SimpleBlobDetector_Params()
@mldeveloper01
mldeveloper01 / text-cleaning+word2vec-gensim.py
Created November 8, 2017 13:22 — forked from a-paxton/text-cleaning+word2vec-gensim.py
Cleaning Text Data and Creating 'word2vec' Model with Gensim
# preliminaries
from pymongo import MongoClient
from nltk.corpus import stopwords
from string import ascii_lowercase
import pandas as pd
import gensim, os, re, pymongo, itertools, nltk, snowballstemmer
# set the location where we'll save our model
savefolder = '/data'
@mldeveloper01
mldeveloper01 / interviewitems.MD
Created February 8, 2018 07:15 — forked from KWMalik/interviewitems.MD
My answers to over 100 Google interview questions

##Google Interview Questions: Product Marketing Manager

  • Why do you want to join Google? -- Because I want to create tools for others to learn, for free. I didn't have a lot of money when growing up so I didn't get access to the same books, computers and resources that others had which caused money, I want to help ensure that others can learn on the same playing field regardless of their families wealth status or location.
  • What do you know about Google’s product and technology? -- A lot actually, I am a beta tester for numerous products, I use most of the Google tools such as: Search, Gmaill, Drive, Reader, Calendar, G+, YouTube, Web Master Tools, Keyword tools, Analytics etc.
  • If you are Product Manager for Google’s Adwords, how do you plan to market this?
  • What would you say during an AdWords or AdSense product seminar?
  • Who are Google’s competitors, and how does Google compete with them? -- Google competes on numerous fields: --- Search: Baidu, Bing, Duck Duck Go
@mldeveloper01
mldeveloper01 / interviewitems.MD
Created February 8, 2018 07:15 — forked from KWMalik/interviewitems.MD
My answers to over 100 Google interview questions

##Google Interview Questions: Product Marketing Manager

  • Why do you want to join Google? -- Because I want to create tools for others to learn, for free. I didn't have a lot of money when growing up so I didn't get access to the same books, computers and resources that others had which caused money, I want to help ensure that others can learn on the same playing field regardless of their families wealth status or location.
  • What do you know about Google’s product and technology? -- A lot actually, I am a beta tester for numerous products, I use most of the Google tools such as: Search, Gmaill, Drive, Reader, Calendar, G+, YouTube, Web Master Tools, Keyword tools, Analytics etc.
  • If you are Product Manager for Google’s Adwords, how do you plan to market this?
  • What would you say during an AdWords or AdSense product seminar?
  • Who are Google’s competitors, and how does Google compete with them? -- Google competes on numerous fields: --- Search: Baidu, Bing, Duck Duck Go
@mldeveloper01
mldeveloper01 / tensorflow.md
Created February 18, 2018 10:53 — forked from gentaiscool/tensorflow.md
Building Tensorflow on CentOS 7.X from Source

I figured out how to build tensorflow from source in centOS. This process does not require any root access and you can do it anywhere. This will save your time and no need to worry much after this.

#What to prepare:

  1. Java 8
  2. Bazel
  3. Tensorflow
  4. CuDNN and CUDA toolkit (assume you have install them)

#Installation ##Bazel