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Jan 13, 2025 | 
traveldailymedia.com | Mohit Singh
Travel has undergone a remarkable transformation in recent years, largely driven by advancements in technology. The rise of online booking engines has made travel planning easier and more flexible, giving travellers a simple way to manage their trips. But how are Travel Booking engines shaping the future of the travel industry? These platforms are transforming the way travellers plan and book their trips, offering convenience, personalization, and real-time availability like never before.
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Jan 6, 2025 | 
arxiv.org | Mohit Singh
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Nov 19, 2024 | 
traveldailymedia.com | Mohit Singh
In today’s highly competitive B2B travel landscape, optimizing return on investment (ROI) has become a paramount concern for companies aiming to sustain their growth and profitability. As organizations strive to navigate the intricacies of travel management, the integration of smart technology emerges as a transformative factor that can significantly enhance operational efficiency and reduce costs.
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Nov 17, 2024 | 
traveldailymedia.com | Mohit Singh
Mobile travel apps are becoming more popular, changing how people plan and enjoy their trips. Studies show that over 70% of travellers use these apps for different parts of their journeys. This includes booking hotels, arranging transportation, finding things to do, and organizing their plans. The increase in smartphone use and better internet access have helped more people use these apps easily while traveling. The demand for mobile travel apps is increasing.
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Nov 10, 2024 | 
dev.to | Mohit Singh
Frontend development is an exciting and rapidly evolving field that requires a combination of technical skills, creativity, and a growth mindset. As a junior frontend developer, you’re entering a world of endless possibilities and learning opportunities. In this article, we will explore ten essential tips that will help you excel in your career and pave the way for your professional growth.
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Oct 30, 2024 | 
medium.com | Mohit Singh
Mohit Singh·Follow3 min read·--Data science is a rapidly evolving field, and choosing the right tools for your project can significantly impact its success. With a plethora of options available, it can be overwhelming to determine which tools best meet your needs. This guide will help you navigate the selection process by outlining key considerations and popular tools in the data science ecosystem. Before diving into tools, clarify the objectives of your project.
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Oct 26, 2024 | 
medium.com | Mohit Singh
Mohit Singh·Follow3 min read·--Data science has emerged as a pivotal field in our increasingly data-driven world, yet its roots stretch back to the foundations of statistics and computing. In this blog, we’ll explore the historical progression of data science, tracing its transformation over the decades and highlighting key milestones that have shaped its evolution. The journey of data science begins in the early 20th century, with the development of statistical methods.
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Oct 24, 2024 | 
cancerworld.net | Mohit Singh
In October 2020 when I was 16, our family life changed dramatically when my mother was diagnosed with stage 3 breast cancer. She had known about a lump in her breast for a few months, but she didn’t tell anyone, probably because she didn’t want to worry us and also because we had lately been struggling to make ends meet. Though we had limited means, and despite being the eldest of three children, my childhood – in the Bhajanpura area of Delhi – had been relatively carefree up to that point.
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Oct 16, 2024 | 
medium.com | Mohit Singh
Mohit Singh·Follow3 min read·--In the realm of machine learning, data is often regarded as the lifeblood of any successful model. However, raw data is rarely ready for analysis. This is where data preprocessing comes into play. Data preprocessing is a critical step in the machine learning pipeline that transforms raw data into a format that can be effectively used for modeling.
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Oct 14, 2024 | 
medium.com | Mohit Singh
Mohit Singh·Follow3 min read·--In the rapidly evolving field of data science, mastering the right programming languages can significantly enhance your ability to analyze data, develop models, and communicate insights. Here, we explore five of the best languages to learn for anyone looking to make a mark in data science. Why Learn Python? Python is the undisputed king of data science.
