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ASSIGNMENT – 03 Name: Yash Ahuja Enrollment No.: 08817002023 Division: B Semester: 4th Shift: 1st (Morning) Programme: BCA

 Q1. Write short notes on: (a) PPC Advertising PPC (Pay-Per-Click) is an online advertising model where advertisers pay a fee each time their ad is clicked. It is widely used on platforms like Google Ads and social media. Advertisers bid on keywords, and ads appear when those keywords are searched, helping drive instant and targeted traffic. (b) POEM (Paid, Owned, Earned Media) Paid Media: Advertising a brand pays for (e.g., Facebook Ads, Google Ads). Owned Media: Channels owned and controlled by the brand (e.g., website, email list). Earned Media: Free publicity through word-of-mouth, reviews, and social shares. POEM helps create balanced and integrated digital marketing strategies. (c) Affiliate Marketing Affiliate Marketing is performance-based where affiliates earn a commission by promoting a brand’s product. They use websites, blogs, or social media to drive traffic or sales through unique referral links. It’s a cost-effective model as payment is based on results. (d) Crawler ...
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ASSIGNMENT – 02 Name: Yash Ahuja Enrollment No.: 08817002023 Division: B Semester: 4th Shift: 1st (Morning) Programme: BCA

 Q1. Write short notes on: (a) Digital Marketing vs Traditional Marketing Digital Marketing involves promoting products or services using online platforms like websites, social media, email, and search engines. It is cost-effective, measurable, and allows targeting specific audiences. Traditional Marketing uses offline channels like newspapers, television, radio, and billboards. It generally has a broader reach but lacks real-time feedback and precise targeting. (b) Online Marketing Mix The Online Marketing Mix includes four essential elements: Product: Goods or services offered online (e.g., e-books, software). Price: Competitive pricing based on market conditions and user perception. Place: Channels like websites, apps, or social media where products are available. Promotion: Techniques like SEO, email marketing, PPC, and social media campaigns used to attract customers. (c) Web Analytics Web analytics is the process of collecting and analyzing data from websites to understand us...
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Machine Learning in IOT

 In today’s data-driven world, detecting unusual patterns or anomalies is crucial across various industries, from cybersecurity to finance and healthcare. Machine learning (ML) has revolutionized anomaly detection, making it more efficient, accurate, and scalable. But what exactly is anomaly detection, and how does ML enhance it? Let’s dive in. Understanding Anomaly Detection Anomaly detection refers to identifying data points, events, or observations that deviate from normal behavior. These anomalies may indicate fraudulent transactions, network intrusions, equipment failures, or even rare diseases. Traditional rule-based detection methods often struggle with large, complex datasets, making ML a game-changer in this field .  How Machine Learning Enhances Anomaly Detection Machine learning offers several advantages over traditional anomaly detection methods: Automated Learning – ML models can learn patterns from vast amounts of data without explicit programming. Adaptability –...
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Introduction

 Hello, fellow food lovers! I’m YASH😺 , and if there’s one thing that truly defines me, it’s my endless love💝 for food🍲. Whether it’s exploring new restaurants, cooking up a storm in my kitchen, or hunting down the best street food spots, my world revolves around flavors, textures, and the joy of sharing good food with great company. A Little About Me 😊 I consider myself a full-time foodie and a part-time chef in my own kitchen. My love affair with food began at an early age when I would watch my family cook traditional dishes with passion and precision. That curiosity turned into an obsession, and now, trying new cuisines and experimenting with ingredients is my way of life. What You Can Expect Here 😋😁 On this blog, I’ll be sharing my food adventures, recipes, reviews, and all things delicious. Expect restaurant recommendations, hidden gems, travel-inspired eats, and even some kitchen mishaps that turn into happy accidents! Whether you love fine dining or a good old-fashione...
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