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Showing posts with the label statistical analysis of data

Graphic design python turtle 🐢

By Kajal Vishwakarma -
from turtle import * import colorsys bgcolor('black') pensize(0) tracer(50) h=0 for i in range(300): c=colorsys.hsv_to_rgb(h,1,1) h+=0.9 color(c) forward(300) left(100) fd(i) goto(0,0) down() rt(90) begin_fill() circle(0) end_fill() rt(10) for j in range(5): rt(30) done() Please follow my blog and subscribe my channel for more videos and newly updates 👍👍👍👍👍 import turtle as t import colorsys t.bgcolor('black') t.tracer(100) h=0.4 def draw(ang,n): t.circle(5+n,60) t.left(ang) t.circle(5+n,60) for i in range(200): c=colorsys.hsv_to_rgb(h,1,1) h+=0.005 t.color(c) t.pensize(2) draw(90,i*2) draw(120,i*2.5) draw()
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Statistical Analysis of Data in machine learning

By Kajal Vishwakarma -
 Statistical Analysis of Data Statistical data analysis is a procedure of performing various statistical operations. it is a kind of quantitative research which seeks to quantify the data, and typically, applies some from of statistical analysis. quantitative data basically involves descriptive data, such as survey data and observational data. statistical data analysis generally involves some from of statistical tools, which a layman cannot perform without having any statistical knowledge. there are various software packages to perform statistical data analysis. this software includes statistical analysis system (SAS), statistical packages for the social science (SPSS), stat soft, etc. Data in statistical data analysis consists of variable(s). sometimes the data is univariate or multivariate. Depending upon the number of variables, the researcher performs different statistical techniques. If the data in statistical data analysis is multiple in numbers, then several multi-variates can b
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