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Laptop Price Prediction
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<p>Choosing a suitable laptop is challenging, especially for students, professionals, and AI practitioners, as not everyone understands the right specifications for their needs. Factors like processor type, GPU, and configurations can be complex. Our website simplifies this process, helping users easily find the perfect laptop for their work or studies.</p>
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<p>There are many ways to choose a suitable laptop, but the simplest way is based on its price. Price helps us determine what fits our budget, while the device's configuration value also plays a role in the laptop's cost. Since laptop prices can change over time, our data will be regularly updated via API on a monthly basis from various websites to reflect these fluctuations accurately.</p>
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<h2>Building a website to predict laptop prices using some regression methods</h2>
<p>This project employs advanced machine learning techniques, including Decision Tree, Random Forest, and XGBoost, with hyperparameter tuning performed using RandomizedSearchCV, to accurately predict laptop prices. The dataset was meticulously collected using WebScraper from multiple websites such as Cellphones and Anphats. To ensure price predictions remain aligned with current market conditions, the data is continuously updated via API integration. With these methods, the model achieves an impressive accuracy of up to 95%.</p>
<p>Laptop components are continuously decreasing in price and are subject to rapid changes, with innovative new products constantly entering the market. These factors contribute to the ever-shifting nature of laptop pricing. Thus, accurately estimating price ranges remains a crucial challenge—not only to suggest suitable laptops to consumers but also to provide insights into how laptop prices are trending over time.</p>
<p>The project was initiated by a team of four members and implemented as a simple website. The goal is to predict laptop prices using straightforward, easy-to-understand features without overwhelming users with overly complex parameters. The simplicity of this design ensures accessibility for all users, while the project remains open for further optimization and improvement in the future.</p>
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<h2>About Me</h2>
<p>Hey there! I'm NV, a coding enthusiast always eager to explore not only AI and IT but also various other fields to better understand the world around me. I believe that diving into new things can be exciting and a bit intimidating, but it always brings valuable experiences and adds a bit of fun to my coding journey.<br></p>
<p>Currently, I'm studying AI and Data Science. Initially, I wasn’t very enthusiastic, but over time, the field has captured my curiosity, and now I’m completely immersed in it. Perhaps it's because I lean more towards logic rather than abstract concepts, which makes this area so intriguing to me.<br></p>
<p>When I'm not programming, you’ll find me reading, watching movies, or playing games with my friends. These activities keep me inspired and motivated as I continue my journey.<br></p>
<p>If you're interested in my projects, check out my GitHub. Let's embark on this exciting journey together!
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<h2>Thank You!</h2>
<p>We will meet again!!.</p>
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