Fast Laptop Price Prediction Model

Python, Algorithm, Statistics, Machine Learning (ML), Data Science, Data Analysis, Linear Regression, Model Evaluation · I’m building a laptop-price predictor and need your help finishing the end-to-end pipeline. The data is already cleaned and includes the features that matter most to me right now: Processor, RAM, Brand, operating system, Screen size, and weight.

My priority is speed, so I’d like the first production-ready version to rely on a well-tuned Linear Regression model. If you believe a lightweight tree-based alternative would shave even more milliseconds off inference time, feel free to explain the trade-offs, but please keep the main focus on a fast linear solution.

Here’s what I need delivered: • a Jupyter Notebook (or Python script) that loads the dataset, performs any final feature engineering, trains the model, and benchmarks its prediction latency; • concise comments explaining each step, including the scikit-learn preprocessing and model-selection choices; • a short README summarising performance metrics and how to run the code on a fresh environment (conda or venv).

If everything runs quickly on my side and matches the reported speed metrics, the project is complete. Let me know which additional details you need, and we can get started right away.