#sangroup

[prakashchristiansen]

Fantastic experience at Interpol World 2019 conference !! #interpolworld2019 #interpolworld #conference #police #cyberthreats #cybersecurity #Cyberbullying #tech #nextgen #internet #vulsanx #vulsanxcybersecurity #vulsanxcybersecuritybox #vulsanxpentest #vulsanxcybersecurityacademy #sangroup #prakashchristiansen (at Marina Bay Singapore) https://www.instagram.com/p/Bzs_NpGgP_5/?igshid=3q9sbymdk94u

[captaindentex]

Machine Learning for Data Analysis: Assignement 3

#Loading Libraries import numpy as np import pandas as pd import matplotlib import matplotlib.pyplot as plt import scipy.stats as sp import datetime as dt import time as tm import os import csv import seaborn import pydotplus import sklearn.metrics import statsmodels.api as sm import statsmodels.formula.api as smf import statsmodels.stats.multicomp as multi from pandas import Series, DataFrame from io import StringIO from IPython.display import Image from scipy.spatial.distance import cdist from sklearn import tree from sklearn import datasets from sklearn import preprocessing from sklearn.model_selection import train_test_split from sklearn.tree import DecisionTreeClassifier from sklearn.metrics import classification_report from sklearn.metrics import mean_squared_error from sklearn.ensemble import ExtraTreesClassifier from sklearn.ensemble import RandomForestClassifier from sklearn.linear_model import LassoLarsCV from sklearn.cluster import KMeans from sklearn.decomposition import PCA

print('') print('Data File') print('-------------------------------------') file='datamal.csv' data=pd.read_csv(file,low_memory=False) #data.columns=map(str.upper,data.columns) pd.set_option('display.float_format',lambda x: '%f' %x) data['Water']=data['Water'].apply(pd.to_numeric, errors='coerce') #Explanatory variable data['Sanitation']=data['Sanitation'].apply(pd.to_numeric, errors='coerce') #Explanatory variable data['Malaria']=data['Malaria'].apply(pd.to_numeric, errors='coerce') #Response variable

#Remove missing values subdata=data[['Country', 'Water', 'Sanitation', 'Malaria']].dropna()

#Grouping explanatory variables subdata['Watergroup']=pd.cut(subdata.Water, [0.00, 0.50, 1.00],labels=[0,1]) subdata['Sangroup']=pd.cut(subdata.Sanitation, [0.00, 0.50, 1.00],labels=[0,1]) subdata['Malgroup']=pd.cut(subdata.Malaria, [0.00, 10000.00, 12000000.00],labels=[0,1])

#Remove missing values sub1=subdata[['Watergroup','Sangroup','Malgroup']].dropna() print('sub1.dtypes\n',sub1.dtypes) print('sub1.describe\n',sub1.describe())

print('') print('# Data Management') print('-------------------------------------') #Split into training and testing sets predvar=sub1[['Watergroup','Sangroup']] target=sub1.Malgroup

# standardize predictors to have mean=0 and sd=1 predictors=predvar.copy() predictors['Watergroup']=preprocessing.scale(predictors['Watergroup'].astype('float64')) predictors['Sangroup']=preprocessing.scale(predictors['Sangroup'].astype('float64'))

pred_train, pred_test, tar_train, tar_test=train_test_split(predictors, target, test_size=0.3)

print('pred_train.shape\n',pred_train.shape) print('pred_test.shape\n',pred_test.shape) print('tar_train.shape\n',tar_train.shape) print('tar_test.shape\n',tar_test.shape)

# specify the lasso regression model model=LassoLarsCV(cv=10, precompute=False).fit(pred_train,tar_train)

# print variable names and regression coefficients print(dict(zip(predictors.columns, model.coef_)))

# plot coefficient progression m_log_alphas=-np.log10(model.alphas_) ax=plt.gca() plt.plot(m_log_alphas, model.coef_path_.T) plt.axvline(-np.log10(model.alpha_), linestyle='--', color='k',            label='alpha CV') plt.ylabel('Regression Coefficients') plt.xlabel('-log(alpha)') plt.title('Regression Coefficients Progression for Lasso Paths')

# plot mean square error for each fold m_log_alphascv=-np.log10(model.cv_alphas_) plt.figure() plt.plot(m_log_alphascv, model.mse_path_, ':') plt.plot(m_log_alphascv, model.mse_path_.mean(axis=-1), 'k',         label='Average across the folds', linewidth=2) plt.axvline(-np.log10(model.alpha_), linestyle='--', color='k',            label='alpha CV') plt.legend() plt.xlabel('-log(alpha)') plt.ylabel('Mean squared error') plt.title('Mean squared error on each fold')

# MSE from training and test data train_error=mean_squared_error(tar_train, model.predict(pred_train)) test_error=mean_squared_error(tar_test, model.predict(pred_test)) print('training data MSE') print(train_error) print('test data MSE') print(test_error)

# R-square from training and test data rsquared_train=model.score(pred_train,tar_train) rsquared_test=model.score(pred_test,tar_test) print('training data R-square') print(rsquared_train) print('test data R-square') print(rsquared_test)

A lasso regression analysis was conducted to identify a subset of variables from 2 categorical predictor variables that best predicted a categorical response variable measuring high or low Malaria cases. Categorical predictors included Water and Sanitation Access. All predictor variables were standardized to have a mean of zero and a standard deviation of one.

Data were randomly split into a training set that included 70% of the observations (N=61) and a test set that included 30% of the observations (N=27). The least angle regression algorithm with k=10 fold cross validation was used to estimate the lasso regression model in the training set, and the model was validated using the test set. The change in the cross validation average (mean) squared error at each step was used to identify the best subset of predictor variables.

Of the 2 predictor variables, 1 was retained in the selected model. During the estimation process,water access was most strongly associated with Malaria cases.

[prakashchristiansen]

VULSAN X imprints the exposure at INTERPOL WORLD 2019 #interpolworld #interpolworld2019 #speaker #cybersecurity #vulsanxcybersecurity #soc #edr #mdr #penetrationtesting #nextgenmonitoring #cyberattack #technology #international #sangroup #prakashchristiansen (at Marina Bay Singapore) https://www.instagram.com/p/BzgJPf9ARzT/?igshid=1vm55xoptlc5t

[prakashchristiansen]

#vulsanx getting acknowledged... #cyberthreats #cybersecurity #conference #idca #datacenter #dc #networksecurity #tech #newtechnology #dlp #sangroup #prakashchristiansen #linux #vulsanxcybersecuritybox (at Malaysian Global Innovation and Creativity Centre) https://www.instagram.com/p/BzU10HgAdIY/?igshid=1ivh50rxagasu

[prakashchristiansen]

Women in CyberSecurity !! #women #womeninpower #womenincybersecurity #cybersecurity #vulsanx #womensocanalyst #womens #prakashchristiansen #sangroup #womenintech https://www.instagram.com/p/By9PY-3gSpa/?igshid=buy48np8qp1h

[prakashchristiansen]

Humbled and Trilled to work along side with Former FBI Head and potential collaboration 2019 #cyberintelligence #cyberinvestigations #threathunting #cyberwar #cyberbullying #cyberwar #cyberterrorism #cyberattack #vulsanx #vulsanxcybersecuritybox #apt #penetrationtesting #sangroup #prakashchristiansen (at Conrad Manila) https://www.instagram.com/p/Byt1OetAwZh/?igshid=1jarh96nyzdqx

[prakashchristiansen]

Join me here at Malaysia Tech Week as I will be at the Panel Discussion #mdec #mymagic *'EMERGING TECHNOLOGIES & SMART CITY DEVELOPMENT'* *Date : 17th June 2019 (Monday)* *Venue : Open Space, Level 4, Cyberview Sdn Bhd, Block 3750 Persiaran APEC, Cyberjaya 63000.* @blockchainacademy.asia @vulsanx #vulsanxcybersecurity #vulsanxcybersecuritybox #sangroup #cyberwar #cybersecurityexpert #threatintelligence #iot #ml #ai #emergingtech #cyberattack @skmm_mcmc @openuniversitymalaysia https://www.instagram.com/p/BySfdC6Ab3m/?igshid=1oqyb56grn8s0

[prakashchristiansen]

NEXT AT VULSAN X !! #bigdata #forensics #cyberintelligence #cyberinvestigations #cybersecuritybootcamp #hacker #hacked #malware #prakashchristiansen #vulsanxcybersecurity #machinelearning #blockchain #artificialintelligence #technology #malaysia #sangroup https://www.instagram.com/p/BxrbquVjzSW/?igshid=15qi3kvw2mwqf

[prakashchristiansen]

W O R D ! #cybersecurity #soc #blockchaintechnology #ai #ml #cybersecuritybootcamp #vulsanx #sangroup #prakashchristiansen #artificialintelligence #bigdata #vulsanxcybersecurity https://www.instagram.com/p/Bxmoxa3jxRJ/?igshid=k3pyeqa923dp

[prakashchristiansen]

Honoured share my thoughts with YBhg Prof Emeritus Dato Dr Sheikh Omar Abdul Rahman on Digital Transformation Initiative Tech Innovation Professionals.. i call you to join me at this great initiative .. #cybersecurity #digitaltransformation #cybertechnology #blockchaintechnology #vulsanx #prakashchristiansen #sangroup #ai #ml #sme #b40 #dna23 #iidt #iide #godigital #moe @kempendidikan #iidt #iide (at Putrajaya, Wilayah Persekutuan, Malaysia) https://www.instagram.com/p/Bxj8MviABQO/?igshid=rj6pzch7fy27

[prakashchristiansen]

Forum : Transformation Leadership in Digital Era #cybersecurity #ai #blockchain #ml #digitalcommunity #digitaltransformation #entrepreneurship #dataleak @vulsanx @blockchainacademy.asia #prakashchristiansen #sangroup #vulsanx #cyberintelligence #iidt #iide #technology #unicorn https://www.instagram.com/p/BxjCMZgAUC3/?igshid=1vzacc08jkooj

[prakashchristiansen]

Roped into UniKL faculty to share my little wisdom !! #industry4wrd #cybersecurity #unikl #csr #vulsanx #sangroup #smartcity #iot #databreach #prakashchristiansen @uniklbmi_ @uniklofficial @uniklceclub #digitaltransformation #digitalentrepreneur @vulsanx (at Universiti Kuala Lumpur British Malaysian Institute) https://www.instagram.com/p/BxP9RWkhw1d/?utm_source=ig_tumblr_share&igshid=1mlqtm2jqpug9

[prakashchristiansen]

Thank you #industry4wrd #cybersecurity #unikl #csr #vulsanx #sangroup #smartcity #iot #databreach #prakashchristiansen @uniklbmi_ @uniklofficial @uniklceclub #digitaltransformation #digitalentrepreneur @vulsanx (at Universiti Kuala Lumpur British Malaysian Institute) https://www.instagram.com/p/BxP9LCqB0KH/?utm_source=ig_tumblr_share&igshid=1d3cqs8tqw6nc

[prakashchristiansen]

Roped into UniKL faculty to share my little wisdom !! #industry4wrd #cybersecurity #unikl #csr #vulsanx #sangroup #smartcity #iot #databreach #prakashchristiansen @uniklbmi_ @uniklofficial @uniklceclub #digitaltransformation #digitalentrepreneur @vulsanx https://www.instagram.com/p/BxP89vYB9Vc/?utm_source=ig_tumblr_share&igshid=5vxztdn22b4

[prakashchristiansen]

Appreciation at the SME Digital Tech 4.0 conference 2019.. #cyber #security #virtualsecurity #iot #smarthome #technology #tracking #cyberresilience #ethicalhacking #penetrationtesting #prakashchristiansen #vulsanx #sangroup #internet #atcen (at Kuala Lumpur, Malaysia) https://www.instagram.com/p/Bw1O3i5hEzv/?utm_source=ig_tumblr_share&igshid=ipnhpfisbc6w

[prakashchristiansen]

You can Run but Can’t Hide !! #youcanrunbutyoucanthide #tracking #spy #smartphone #cyber #cybersecurity #hacker #hacks #vulsanx #prakashchristiansen #sangroup #cyberdefence #cyberattack #deepweb #iot #data #dataleak https://www.instagram.com/p/BwjRqgOhF_U/?utm_source=ig_tumblr_share&igshid=rmoq0yq5hkb6