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turingDH / Supervised_SKLearn.ipynb
Created March 28, 2019 21:34
SKLearn Supervised Learning
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@turingDH
turingDH / sum_square_Pool.py
Created March 26, 2019 00:12
multiprocessing Pool example
## Credit to LucidProgramming https://www.youtube.com/watch?v=u2jTn-Gj2Xw for the walkthrough. My changes weren't terribly significant.
import os # to get core count on machine
import time # to time the duration
from multiprocessing import Pool # to instantiate a Pool of workers to distribute the process across the cores in CPU
def sum_square(number):
s=0
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turingDH / gist:80a91745a7d60d4272486c0618a91476
Created November 15, 2018 03:28
Search script files in RStudio; open via file protocol
library(dplyr)
library(DT)
library(purrr)
library(tidyr)
phraseToSearch <- 'this|that'
scriptFiles <-
bind_rows(
map_dfc('~/R', list.files, full.names = T) %>% rename(fileNames = V1),
@turingDH
turingDH / sparklyr_cv_pipeline_example.R
Created April 5, 2018 05:02 — forked from eddjberry/sparklyr_cv_pipeline_example.R
An example of creating a Spark pipeline with sparklyr
# Load packages
library(dplyr)
library(sparklyr)
# Set up connect
sc <- spark_connect(master = "local")
# Create a Spark DataFrame of mtcars
mtcars_sdf <- copy_to(sc, mtcars)
import numpy as np
import pandas as pd
greeks = [chr(code) for code in range(945,970)]
Greeks = ['alpha', 'beta', 'gamma', 'delta', 'epsilon', 'zeta', 'eta', 'theta', 'iota', 'kappa', 'lambda', 'mu', 'nu', 'xi', 'omicron', 'pi', 'rho', 'word-final sigma', 'sigma', 'tau', 'upsilon', 'phi', 'chi', 'psi', 'omega']
df = pd.DataFrame(greeks, Greeks).reset_index().reset_index()
df.rename(columns={df.columns[0]:"chr_val", df.columns[1]:"greek text", df.columns[2]:"greek symbol"}, inplace=True)
df['chr_val'] += 945
print(df)
@turingDH
turingDH / AirQuality_Regression.ipynb
Last active March 30, 2018 00:39
UCI Air Quality = initial EDA
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@turingDH
turingDH / LogisticRegressionRanges_R_Screen.png
Last active February 9, 2018 03:52
Logistic Regression: probability vs. odds vs. log odds
LogisticRegressionRanges_R_Screen.png