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Today in this article, we shall see how to How to set up WSL on Windows and run Linux commands on Windows machines. I shall be listing few simple steps which can be used to configure. I have used Windows 10 machine to showcase this feature. What is WSL? WSL is  Windows Subsystem for Linux. It lets developers run Linux environments directly on Windows without the overhead of virtual machines or extra setup. Once configured for WSL, you get support for all command-line tools, utilities, and applications. Example-  Ubuntu command line utilities including  bash, ssh, git, apt Set up WSL in Windows Please follow below basic steps. Step 1: Run Powershell Run Powershell in Administrator mode and run the below command Enable-WindowsOptionalFeature -Online -FeatureName Microsoft-Windows-Subsystem-Linux If not used as admin mode might get below error, “Enable-WindowsOptionalFeature: The requested operation requires elevation.” Step 2: Enable Microsoft-Windows-Subsystem-Linux The above command wi

  "A big dream needs your small steps in consistent manner and in right direction" - Kushal Sharma Businesses (organizations) are looking out for you. Seriously! so don't hide yourself. I am helping you with 3 cases where I would explain you on 3 job roles. The fisrt is Business Analyst, second Data Analyst followed by third Analytics Engineer. You can watch this video to understand the job roles before or after you read the 3 cases I have explained further. Case 1: Business Analyst Sandip Sathe is working as a Business Analyst. He has great communication skills, knowledge of business processes and analytical abilities. He asks relevant questions to understand the business requirement. As per his daily responsibilities, he documents all the business needs, discusses with the software development team, plans the timeline and remains in strong communication with client. He is a key interface with end user (client) and the managers in his organisation. He leads on-going revi

 Another session added to ii-Meetup as demanded by most of you. This was "Mock Interview Session" for fresh graduates and active job seekers.  We understand the pain area of a job seeker. It starts from preparing for technical concepts, soft skills, adapting to new era tools and making best out of online tools while attempting interviews. So, we came up with Mock Interview Session this Sunday, 14 November 2021. Here you can find the recording of the session. A total of 32 candidates participated in the event as below: Sourabh Adekar Rubi Maurya Omkar Potadar Saurav Yadav Pankaj Baviskar Jayashri Teacher shridhar birajdar Akhilesh Maurya Pratiksha Zende Siddhesh Sawarkar Shubhangi shinde Gayatri Mahajan Avishkar Gawade Aditya Kadam Rachit Kashyap Sumedh Thorat Varsha Shinde Mayuri Gaikwad Kartik Shilwant shubhangi swami Dnyaneshwar Maske Sagar Chaudhari Jayashri Sonawane Manjiri Bhavsar Dhiraj Patil Aarti Gore Shaikh Nikkhat Sucheta Chandanshive Chaitanya Vibhute Bharati Patil

  Today’s world is entirely powered by big data. These data are generating from every step of an individual’s online activity, be it browsing the internet or the use of advanced connected devices, particularly IoT devices. This exponential increase in data has given the rise of big data analytics. It is very complex process to analyze big data and discover information such as underlying patterns, market trends, customer preferences, and others. This will definitely help organizations to make strategically well calculated data-driven business decisions. As big data analytics enables businesses to draw useful insights from their data and use it to identify new opportunities, it leads to smarter business moves with efficient operations. Today, people as well as businesses generate data at an exceptional rate from millions of sources while social channels being the largest sources of data available out there. Thus, utilizing the power of truly big data analytics tools and technique

  ·        Simple intuition behind neural networks If you have been a developer or seen one work – you know how it is to search for bugs in a code. You would fire various test cases by varying the inputs or circumstances and look for the output. The change in output provides you a hint on where to look for the bug – which module to check, which lines to read. Once you find it, you make the changes and the exercise continues until you have the right code / application. Neural networks work in very similar manner. It takes several input, processes it through multiple neurons from multiple hidden layers and returns the result using an output layer. This result estimation process is technically known as “Forward Propagation“. Next, we compare the result with actual output. The task is to make the output to neural network as close to actual (desired) output. Each of these neurons are contributing some error to final output. How do you reduce the error? We try to minimize the value