I have moved this over to the Tech Interview Cheat Sheet Repo and has been expanded and even has code challenges you can run and practice against!
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################################### Keras2DML: Parallely training neural network with SystemML####################################### | |
import tensorflow as tf | |
import keras | |
from keras.models import Sequential | |
from keras.layers import Input, Dense, Conv1D, Conv2D, MaxPooling2D, Dropout,Flatten | |
from keras import backend as K | |
from keras.models import Model | |
import numpy as np | |
import matplotlib.pyplot as plt |
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# -*- coding: utf-8 -*- | |
""" | |
Created on Mon Sep 23 23:16:44 2017 | |
@author: Marios Michailidis | |
This is an example that performs stacking to improve mean squared error | |
This examples uses 2 bases learners (a linear regression and a random forest) | |
and linear regression (again) as a meta learner to achieve the best score. | |
The initial train data are split in 2 halves to commence the stacking. |
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# See official docs at https://dash.plotly.com | |
# pip install dash pandas | |
from dash import Dash, dcc, html, Input, Output | |
import plotly.express as px | |
import pandas as pd | |
df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/gapminderDataFiveYear.csv') |
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import tweepy | |
import csv | |
import pandas as pd | |
####input your credentials here | |
consumer_key = '' | |
consumer_secret = '' | |
access_token = '' | |
access_token_secret = '' | |
auth = tweepy.OAuthHandler(consumer_key, consumer_secret) |
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is.prime <- function(num) { | |
if (num == 2) { | |
TRUE | |
} else if (any(num %% 2:(num-1) == 0)) { | |
FALSE | |
} else { | |
TRUE | |
} | |
} |
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from pyspark import SparkConf, SparkContext | |
from sklearn.datasets import make_classification | |
from sklearn.ensemble import ExtraTreesClassifier | |
import pandas as pd | |
import numpy as np | |
conf = (SparkConf() | |
.setMaster("local[*]") | |
.setAppName("My app") | |
.set("spark.executor.memory", "1g")) |
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# sql.export.rf(): save a randomForest model as SQL | |
# v0.04 | |
# Copyright (c) 2013-2014 Shane Butler <shane dot butler at gmail dot com> | |
# | |
# sql.export.rf is free software: you can redistribute it and/or modify it | |
# under the terms of the GNU General Public License as published by | |
# the Free Software Foundation, either version 2 of the License, or | |
# (at your option) any later version. | |
# | |
# sql.export.rf is distributed in the hope that it will be useful, but |
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ZIP,LAT,LNG | |
00601,18.180555, -66.749961 | |
00602,18.361945, -67.175597 | |
00603,18.455183, -67.119887 | |
00606,18.158345, -66.932911 | |
00610,18.295366, -67.125135 | |
00612,18.402253, -66.711397 | |
00616,18.420412, -66.671979 | |
00617,18.445147, -66.559696 |