Machine Learning project : Sentiment Analysis for Jumia Reviews & Smartphone Price Prediction System

🌐 Sentiment Analysis and Recommendation System:
Leveraging sentiment analysis algorithms, I collected and analyzed customer comments from Jumia using BeautifulSoup. The system categorizes sentiments as positive or negative and recommends or advises against a product accordingly. For a hands-on experience, I've also simulated this functionality through a user-friendly web application using Flask and front-end technologies.
📈 Price Prediction System:
Employing regression techniques, I predicted product prices on Jumia based on historical data, helping them make better purchasing decisions. Similar to the Sentiment Analysis System, I've created a web application for a seamless user experience.
⚙️ Tech Stack:
Jupyter Notebook, Python, NumPy, Pandas, Matplotlib, Seaborn, BeautifulSoup, scikit-learn, Flask
HTML, CSS, JavaScript for the web application
MySQL Database for data storage
🔗 Link to GitHub Repository:
I hope you find it inspiring and clear, feel free to explore it here : [github.com/aym...] (the readme file provides explanation with details and also how to run the applications).
Additionally In the github Repository you will find the report (Memory/Machine Learning Project Final Writeup.pdf) as a research paper which Contain the details of this project (from data collection to model deploying), and let me know your thoughts and suggestions.
🔍 See my latest project here : aymane-maghout...
#DataScience #SentimentAnalysis #PricePrediction #MachineLearning #WebDevelopment #ProjectCompletion

[@aymanemaghouti2065]

🔗 Link to GitHub Repository:
I hope you find it inspiring and clear, feel free to explore it here : github.com/aymane-maghouti/Sentiment-Analysis-for-Jumia-Reviews-and-Smartphone-Price-Prediction-System
🔍 See my latest project here : aymane-maghouti.github.io/