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Machine Learning Algorithms

anojaa gnanes — Mon, 08 Jun 2020 04:25:55 +0000

Part 1: Logistic Regression

Welcome to Article “Machine Learning Algorithms”. I write continuous article about Machine Learning Algorithms.I hope this article will help to who willing to learn machine learning .

First we discuss about what is Regression?” Regression is the predictive modelling Technique” the Regression will estimate the relationship between a dependent variable and an independent variable.

So what is Logistic Regression and why use that? In this Logistic Regression the Results/outcome should be generated in Binary format it is used to predict the outcome of a categorical/discrete variable.outcome should be like in this format. zero or one(0/1),true or false.

Logistic Regression We have the categorical(discrete) variable, so predict value in discrete in nature. for an example tomorrow going to snow or tomorrow not going to snow. Its solved basically classification problems, the Logistic Regression graph called sigmoid curve.

Now we can see the Logistic Regression use-cases in our real life. the first example is Weather prediction ,for an example In the whether prediction we predict ,Today which is going to rain or not going to rain. the result provide yes or no value.

now we moving to classification problem,python help to multi classification problem.if we taken the vertebrates animals, here we can classifying its a “horse or not / bear or not bear” like that.its called as a class classification.

there have few steps to implement to any machine learning algorithms ,I implement this algorithm with below steps.

1.Collecting data =The First step is collecting the data and import the libraries.

2.Analyzing data =The Second step is Analyzing data,here we creating the plot for check the Relationship between the variables.

3.Data wrangling= The Third step is wrangling the data , we have the large number of data sets so we need to cleaning the unnecessary data /null value data from our data set.so we used this code.

4.Train/Test=The Fourth step is Build the model on the Train data and predict the output the test data.here we use the Logistic Regression for the train the model

5.Accuracy check =The final step is Accuracy checking ,calculate the Accuracy to the our Result

creating Components (part I)

anojaa gnanes — Thu, 31 Oct 2019 05:30:44 +0000

there are two main ways to creating components in React.now we can discuss about how to create the components in the React.

1.stateless functional components

stateless component is just a plain javascript function which takes props as an argument and returns a react element, A stateless component has no state.

They have 2 main features:
*When rendered they receive an object with all the props that were passed down.
*They must return the JSX to be render.

basic structure for the statelss components

example:-

import React from 'react';
import PropTypes from 'prop-types';
const FirstComponent = props => (

Hello, {props.name}! I am a FirstComponent.

);
FirstComponent.propTypes = {

name: PropTypes.string.isRequired,
}

2.state components

The heart of every React component is its “state”, an object that determines how that component renders & behaves. In other words, “state” is what allows you to create components that are dynamic and interactive.

basic structure for the state components

example:-

import React, { Component } from 'react';
class SecondComponent extends Component {
constructor(props) {
super(props);
this.state = {
toggle: true
};
this.onClick = this.onClick.bind(this);
}
onClick() {
this.setState((prevState, props) => ({
toggle: !prevState.toggle
}));
}
render() {
return (

Hello, {this.props.name}! I am a SecondComponent.

Toggle is: {this.state.toggle}

);
}
}

Advantages and Disadvantages of 5G Technology

anojaa gnanes — Tue, 29 Oct 2019 05:46:09 +0000

  Advantages

a. High accuracy and large bidirectional bandwidth configuration

b. Technology to collect all the networks on a single platform.

c. Effective & efficient.

d. Technology o to facilitate common supervision tools for rapid action.

e. It was most likely; it will provide huge (Gigabit) radio data .it will Supported more than connections. f. Can be easy to control with the previous generations.

g. Technological voice to support heterogeneous services (including the private network).

h. Enabled to provide unified uninterrupted and consistent connectivity world.

Disadvantages

a. The technology under research, research on its applicability is on-going.

b. The(fast) speed at which this technology appears to be difficult to achieve(in the coming future, perhaps) due to inefficient coverage and traffic disruption because of the different transport forces of technology support in most parts of the world.

c. Infrastructure development needs high cost.

d. The issue of security and privacy that has not yet been resolved