Posts

Showing posts with the label Limitation of Machine Learning Scope in Machine Learning

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()
Post a Comment
Read more

Scope and Limitation of Machine Learning

By Kajal Vishwakarma -
 Scope :- Increase in Data Generation:- Due to excessive production of data, need a method that can be used to structure, analyze and draw useful insight from data. This is where machine learning comes in. It uses data to solve problems and find solution the most complex tasks faced by organizations. Improve Decision Making :- By making use of Various algorithms, Machine Learning can be used to make better business decisions. For example, Machine Learning is used to forecast sales, predict downfalls in the stock market, identify risks and anomalies, etc. Uncover patterns & trends in data:- Finding hidden patterns and extracting key insight from data is the most essential part of machine learning. by building predictive models and using statistical techniques, machine learning allows you to dig beneath the surface and explore the data at a minute scale. Understanding data and extracting patterns manually will take days, whereas machine learning algorithms can perform such computati
Post a Comment
Read more