Normalization vs Standardization Explained

The term normalization and standardization are used a lot in statistics and data science. We sometimes use them interchangeably. People usually get confused between these two terms. But there is a subtle difference between these two. And that’s where the interviewer takes the step and boom! you are doomed. In this article, I’ll explain what normalization and standardization are in a simple language as possible without using much of technical jargon. Their application in real life using examples, and the difference between them. So bear with me for five minutes it will be worth your time.
What is Normalization?
It is a scaling technique method in which data points are shifted and rescaled so that they end up in a range of 0 to 1. It is also known as min-max scaling.

#normalization #standardization #data-science #statistics

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Normalization vs Standardization Explained

The term normalization and standardization are used a lot in statistics and data science. We sometimes use them interchangeably. People usually get confused between these two terms. But there is a subtle difference between these two. And that’s where the interviewer takes the step and boom! you are doomed. In this article, I’ll explain what normalization and standardization are in a simple language as possible without using much of technical jargon. Their application in real life using examples, and the difference between them. So bear with me for five minutes it will be worth your time.
What is Normalization?
It is a scaling technique method in which data points are shifted and rescaled so that they end up in a range of 0 to 1. It is also known as min-max scaling.

#normalization #standardization #data-science #statistics

How native is React Native? | React Native vs Native App Development

If you are undertaking a mobile app development for your start-up or enterprise, you are likely wondering whether to use React Native. As a popular development framework, React Native helps you to develop near-native mobile apps. However, you are probably also wondering how close you can get to a native app by using React Native. How native is React Native?

In the article, we discuss the similarities between native mobile development and development using React Native. We also touch upon where they differ and how to bridge the gaps. Read on.

A brief introduction to React Native

Let’s briefly set the context first. We will briefly touch upon what React Native is and how it differs from earlier hybrid frameworks.

React Native is a popular JavaScript framework that Facebook has created. You can use this open-source framework to code natively rendering Android and iOS mobile apps. You can use it to develop web apps too.

Facebook has developed React Native based on React, its JavaScript library. The first release of React Native came in March 2015. At the time of writing this article, the latest stable release of React Native is 0.62.0, and it was released in March 2020.

Although relatively new, React Native has acquired a high degree of popularity. The “Stack Overflow Developer Survey 2019” report identifies it as the 8th most loved framework. Facebook, Walmart, and Bloomberg are some of the top companies that use React Native.

The popularity of React Native comes from its advantages. Some of its advantages are as follows:

• Performance: It delivers optimal performance.
• Cross-platform development: You can develop both Android and iOS apps with it. The reuse of code expedites development and reduces costs.
• UI design: React Native enables you to design simple and responsive UI for your mobile app.
• 3rd party plugins: This framework supports 3rd party plugins.
• Developer community: A vibrant community of developers support React Native.

Why React Native is fundamentally different from earlier hybrid frameworks

Are you wondering whether React Native is just another of those hybrid frameworks like Ionic or Cordova? It’s not! React Native is fundamentally different from these earlier hybrid frameworks.

React Native is very close to native. Consider the following aspects as described on the React Native website:

• Access to many native platforms features: The primitives of React Native render to native platform UI. This means that your React Native app will use many native platform APIs as native apps would do.
• Near-native user experience: React Native provides several native components, and these are platform agnostic.
• The ease of accessing native APIs: React Native uses a declarative UI paradigm. This enables React Native to interact easily with native platform APIs since React Native wraps existing native code.

Due to these factors, React Native offers many more advantages compared to those earlier hybrid frameworks. We now review them.

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Normalization vs Standardization

In Machine Learning, a model will be as good (or as bad) as the data you train the model with. The magnitude of different features affects different machine learning models for various reasons.

For example, consider a data set containing two features, age, and income. Here age ranges from 0–100, while income ranges from 0 to a huge amount which is mostly higher than 100. Income is about 1,000 times larger than age. So, these two features are in very different ranges. When we do further analysis, like multivariate linear regression, for example, the attributed income will intrinsically influence the result more due to its larger value. But this doesn’t necessarily mean it is more important as a predictor. Therefore, the range of all features should be scaled so that each feature contributes approximately proportionately to the final distance.

For this exact purpose, using Feature Scaling is essential.

In this article, we will be discussing what, why of feature scaling, the techniques to achieve feature scaling, it’s usefulness, and python snippet to achieve feature scaling using these techniques.

The flow of discussion will be as follows,

• Feature Scaling
• Normalization
• Standardization
• Implementation
• When to use what?

Feature scaling

Feature scaling is a technique to change the values of numeric columns in the dataset to use a common scale, without distorting differences in the ranges of values or losing information.

Why use Feature Scaling?

1. Gradient descent converges much faster with feature scaling than without it.
2. Many classifiers (like KNN, K-means) calculate the distance between two points by the Euclidean distance. If one of the features has a broad range of values, the distance will be governed by this particular feature. So the range of features should be scaled so that each feature contributes approximately proportionately to the final distance.

However, every dataset does not require features scaling. It is required only when features have different ranges.

This can be achieved using two widely used techniques.

1. Normalization
2. Standardization

#feature-scaling #standardization #data-science #machine-learning #normalization

Standardization and Normalization Explained

Standardization

What is Standardization why it is important ?

Suppose you have purchased a laptop at a cost of 50,000/- in India , after some time your brother brought the same product from canada at a cost of 950 canadian dollar(1C.D=50/-) for you .You want to compare both the deal for that you have to convert the laptop’s price in single currency (either in rupee or canadian dollar).Now;

price of laptop you have purchased=50,000/-

price of laptop your brother has been brought for you=50 X 950=47,500/-

Now by converting both the laptop’s price in single currency you are able to descriminate who has paid fleecing amount of money.In statistics this process is known as standardization.We need it so that we can convert the different-different units of data into single unit for obtaining inference out of it.

#standardization #machine-learning #normalization #statistics

PWA vs Native App: Which Is Better Option In 2021?

Every year, the world is expanding with the launch of new smartphones and other gadgets available in the market. According to Statista, more than 50% of the population will be using smartphones by the end of 2021.

Hence, businesses worldwide have understood the importance of smartphones and are joining the mobile industry by launching native apps.

Apart from native apps, progressive web apps is another technology that is gaining a lot of attention among businesses. Moreover, various leading companies worldwide have openly accepted PWA and built progressive web apps.

Now, the question arises, how is PWA different from the native apps? Read More

#pwa vs native #pwa vs native app #progressive web app vs native #progressive web app vs native app #pwa vs native app performance