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Tag: Python online course

How To Create An Image Dataset and Labelling By Web Scraping?

Posted on by Imarticus Learning

Every data science project starts with data. We need to acquire a huge amount of data to train our machine learning models. There are various ways to collect data. Surfing websites and downloading the structured datasets present on them is one of the most common methods for data collection. But there are times when this data is not enough. Certain problem statement datasets are not easily available on the web. And to deal with this situation, we need to create our own datasets.

In this article, we will discuss the method of creating a custom image dataset and labeling it using Python. First, let us talk about acquiring images through web scraping.

Web Scrapping

Web Scraping refers to the process of data scraping from websites. It surfs the world wide web and stores the extracted data in the system. Beautifulsoup is one of the most popular Python libraries for image scraping. The requests library requests the essential webpage.

How To:

When we go to the developer tool by clicking on a picture on the webpage, there displays a format starting with images.pexel.com/photos after which a number is listed, which is unique for every photo. One can get a similar image using the regex (regular expression).

Using this method, our images get scrapped. We can also print the links if we want to see those links and make a directory of them. After this, we will download the images. Once the process is complete, you can see the scrapped images through the specified path where images are stored.

Labeling

After scrapping and storing the images, we need to classify them through labeling. Labeling software is used for this purpose. It is a pip installable annotation tool. It provides two annotations YOLO and PASCAL VOC.

How To:

You can open the labeling software using the command: (base) C:\Users\Jayita\labeling

There will be specified options on the left-hand side of the screen. On the right-hand side, you will see the image file information. Select ‘Open dir’ to see all images. Press ‘a’ to view the previous image and ‘d’ to view the next image.

To get the annotations, draw a rectangular box and press ‘w’. A window will pop up to store the image’s class name. Once you are done with drawing the box and labeling the image, it’s time to save it. To generate the annotations, you need to store the image in PASCAL VOC or YOLO format.

One can learn about this in detail in a data science course. Web scrapping and labeling is not a hard process once you understand the basics of it. You need to be careful while scrapping a website and obey the rules so that you do not harm the website you are scrapping. Take time to consider your requirements and research accordingly to find a suitable website for this process. For example, if you plan to develop a model for fashion, then online shopping websites should be on your scrapping list.

Learning web scraping and labeling is important if you want to build a data science career in the future. It will provide you with a deep understanding of image datasets. You can use these techniques to increase the data in situations where available data for a project is less. You can apply this process to multiple classes if they share the same folder and get the desired results.

The Future of Ecommerce in India

Posted on by Imarticus Learning

By Manish Kumar.
Ecommerce in India has been growing at a rapid pace and has given a new dimension to how the people shop in India. Statistics show that it will continue to grow; the growth rate one day will be more realistic and become stable eventually. It is very difficult to predict at this point in time when the growth rate would stabilize.
Currently, this growth rate is being accelerated using levers like deep product discounts, coupons, cash backs, etc. This model would slowly go down because companies one day have to focus on the bottom line and not just top lines for long run sustainability and profitability.
Besides that, big brick & mortar giants like Birla, Reliance, Tata, etc have launched, and are still launching, their ecommerce businesses to compete with pure-play tech driven giants like Amazon, Flipkart, Snapdeal, and other online shopping giants.

But the big question being, is this another bubble which is going to burst?
As per a recent survey by Deloitte’s state of media democracy only 15% of users who log into e-commerce websites in India actually end up buying something. The main problem e-commerce websites are facing in India is generating organic traffic.
India being a highly price sensitive market, customer retention is another major issue. A typical Indian user will visit all the possible e-commerce websites and end up buying from a source where he will be offered the lowest price and that is how some of the big price comparison websites make money.
Flipkart has been able to make quite some success when it comes to Indian space of e-tailing mainly because they have been able to offer products on a price much lesser than their competitors and brick and mortar stores. Amazon. In, of late has given a very stiff competition to other major players by providing great customer service.
Having said that, the winner in this segment is still decided by GMV (Gross Merchandize Value) and not the real profit on papers.
Imarticus Learning is an analytics and finance institute that have courses of those docip-thumbnail (1)mains. We have been ranked top 4 analytics institutes in the country. Imarticus even offers Python online course called Certification in Python. Python is a powerful open-source language that is extremely versatile and has the potential to build web applications and act as a data analytics tool, making it extremely useful for aspirants who wish to enter the E-Commerce arena.

5 Top Reasons to Learn Python

Posted on by Imarticus Learning

One should have a good grasp of technology, as its uses and advantages have seeped in almost all spheres of professional setups. If you are working in the field of IT, programmer to be specific, a quick way to upgrade your resume would be to learn Python. Python is considered to be the most commonly used programming languages. Hence for a programmer who is on the brink of embarking his career should learn Python.
So if you are considering learning to code, and be updated and efficient with your skills in the world of programming. Then further read on to understand five undisputable reasons you should learn Python.

Quick and Fast

Python is definitely an easy language to learn, to be true the language was designed keeping this feature in mind. For a beginner, the biggest advantage is that the codes are approximately 3-5 times shorter in Python than in any other programming language. Python is also very easy to read, almost like reading the English language, hence it becomes effective yet uncomplicated in its application.
The dual advantage is that a beginner will not only pick up faster but, will also be able to code complex programmes in a shorter amount of time. And an experienced programmer will increase productivity.

Big Corporates use Python

Python is one of the most favourite languages used at Google, and they are ever hiring experts. Yahoo, IBM, Nokia, Disney, NASA all rely on Python. They are always in search of Python web developers, and a point to note is that they are big pay masters. Hence learning Python equals to big Pay cheques.

Python for Machine Learning and Artificial Intelligence

The biggest USP of Python is that it is easy to use, flexible and fast, hence it is the preferred language choice. And especially so in computer science research. Through Python, one can perform complex calculation with a simple ‘import’ statement, followed by a function call, thanks to Python’s numerical computation engines. With time Python has become the most liked language for Machine Learning.

Python is Open Source and comes with an exciting Ecosystem

Python has been there for almost 20 years or so, running across platforms as an open source. With Python, you will get codes for, Linux, windows and MacOS. There is also a number of resources that get developed for Python that keeps getting updated. It also has a standard library with in-built functionality.

Nothing is Impossible with Python

And if the above reasons are not convincing, perhaps the best reason to learn Python, is that irrespective of what your career goals are you can do anything. Since it is easy and quick to learn, with it, you can adapt to any other language or more importantly environment. Be it web development, big data, mathematical computing, finance, trading, game development or even cyber security, you can use Python to get involved.
Python is not some kind of a niche language, and neither is it a small time scripting language, but major applications like YouTube or Dropbox are written in Python. The opportunities are great, so learn the language and get started.

References:

Python Coding Tips For Beginners

Top Resources To Learn Python Online In 2022

Top Resources To Learn Python

It is Useful To Learn Python Language For Big Data

The Promises of Artificial Intelligence: Introduction

Posted on by Imarticus Learning

The field of Artificial Intelligence seems to working on a winning streak. In the year 2005, the U. S Defence Advance Research Project Agency, held the DARPA Grand Challenge, which was supposedly held to spur development of autonomous vehicles, basically in order to make self-driven, smart cars. This challenge was taken up and successfully completed by 5 teams. In the year 2011, in a great competition of Jeopardy, the IBM Watson system, was successfully able to beat two long time, human champions of the same legendary game. Another great win of technology over the human race would be in the year 2016, when Google DeepMind’s AlphaGo system was able to successfully defeat the world champion of Go Player, who was reportedly the world champion for 18 consecutive times.
While these feats of technology over the human brain are extremely commendable, today the long surviving dream of humans, which basically revolved around developing technology to control their surroundings, has finally come to fruition. This has resulted in the form of Google’s Google Assistant, Microsoft’s Cortana, Apple’s Siri and Amazon’s Alexa. As a result of all of these AI (Artificial Intelligence) powered virtual assistants, people are able to make greater use of technology in order to live better lives.
Artificial Intelligence is considered to be a field of computer science, which is entirely devoted to the creation of computing machines and systems, all of which are able to perform operations that are similar to human learning and decision making. According to the Association for the Advancement of Artificial Intelligence, AI is, “the scientific understanding of the mechanisms underlying thought and intelligent behaviour and their embodiment in machines.” While these intelligence levels can never be compared to those of the humans, but they can certainly vary in terms of various technologies.
Artificial Intelligence includes a number of functions, which include learning, which primarily includes a number of approaches such as deep learning, transfer learning, human learning and especially decision making. All of these functionalities can later help in the execution of various fields such as cardiology, accounting, law, deductive reasoning, quantitative reasoning, and mainly interactions with people, in order to not only perform tasks, but also to learn from the environment.
While the recent changes may be extremely mind blowing, the promise of AI has always been existing since era of electromechanical computing, this began in the time period, after the World War 2. The first conference of Artificial Intelligence was held at the college of Dartmouth in the year 1956 and at that time, it was said that AI could be achieved within the time period of summer. Later on, in the 1960’s there were scientists, who claimed that in the next decade, it would be possible to see various machines controlling human lives. But it was in the year 1965, when the Nobel Laureate, Herbert Simon, who is supposed to have predicted the words, which would have some substance and which were, “In the next 20 years, it would be possible that machines would be able to do any work of labour that man can”.
With Artificial Intelligence, going in full fervour, the field which it has affected most in the field of Data Science. And as there are many who believe that there is a great to achieve in this field, have begun to get trained in the same by approaching professional training institute – Imarticus Learning.