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How Pandas Profiling Can Speed up your Exploratory Data Analysis (EDA) in Machine Learning

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Pandas Profiling Data analysis is a process of inspecting, cleansing, transforming and modeling data with the goal of discovering useful information, informing conclusion and supporting decision-making. According to Wikipedia, Exploratory Data Analysis is defined as follows In statistics, exploratory data analysis (EDA) is an approach to analyzing data sets to summarize their main characteristics, often with visual methods. A statistical model can be used or not, but primarily EDA is for seeing what the data can tell us beyond the formal modeling or hypothesis testing task. EDA is very important in understanding large datasets while building machine learning models.Generally speaking, EDA is a collection of various findings like Data Quality, Data Spread and Variable Relationships. Data Quality refers to information that define the quality of data and makes sure if is an information is actually necessary for decision making and also helps us determine the overlea
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How to deploy and host your Web Applications on Heroku

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Heroku is a cloud platform that lets you build, deliver, monitor and scale applications on the go. Heroku helps the developers to deploy and host their web applications on their cloud platform without having to know much about how their cloud infrastructure actually works. Heroku supports multiple programming environments such as Nodejs, Ruby, Java, PHP, Python, Go, Scala and Clojure. This blog post will discuss about how to deploy your Web Application on Heroku using both  Heroku CLI  and their Web Interface in simple steps. Once you follow these steps, your project will be live under the heroku's free subdomain <your-preferred-name>.herokuapp.com . For this blog post, I've used a sample project called " Incrementer Demo " and the project code is available on github. Using Heroku Command Line Interface (CLI) Step 1 : Download and Install Heroku CLI from Heroku Devcenter • SignUp/Register a free Heroku account • Go to  https://devcenter.heroku.c
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How to mimic a fully functional REST API using JSON Server node module.

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What is a RESTful API? A Representational State Transfer (REST) API is a web service that uses HTTP requests to GET, POST, PUT, PATCH and DELETE data from server. RESTful systems provide faster performance, reliability and scalability by updating and reusing components without affecting the performance while running on a server.   What is a JSON Server? JSON Server is a Node Module that you can use to create a mocked version of REST JSON web service on the go. All you need is a json file for storing your data. Before directly getting started with our discussion, let’s go through why we actually need to fake/mock our REST API while we can setup one on any server with limited knowledge. Well, you can go through setting up a basic RESTful web service “ quickly ” in this never ending tutorial guide https://stackify.com/rest-api-tutorial And if you are basically a front-end developer who wants to strictly focus on developing an application, test it with server dat
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