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Web Scraping Movie Data from IMDB: Dive into web scraping by collecting movie data from IMDB. Learn to extract essential details like ratings, reviews, and genres using Python libraries like Beautiful Soup and Requests, honing skills in data collection and analysis for future projects.
Building a Personal Expense Tracker: Create a personal expense tracker to monitor daily spending habits. Use Python and data visualization libraries to categorize expenses, visualize trends, and generate reports. This project enhances budgeting skills while applying data science principles to real-life scenarios.
Building a Weather Dashboard: Design a weather dashboard that provides real-time weather updates. Integrate APIs to fetch data and display it through interactive graphs and charts. This project teaches the fundamentals of API integration, data visualization, and user interface design.
Building an E-commerce Sales Dashboard: Develop an e-commerce sales dashboard to track online sales performance. Analyze key metrics such as revenue, conversion rates, and customer demographics. This project equips beginners with insights into data-driven decision-making and essential business intelligence practices.
Performing Sentiment Analysis on Tweets: Conduct sentiment analysis on tweets to assess public opinion on various topics. Utilize natural language processing techniques and libraries like NLTK or TextBlob to analyze sentiments. This project enhances skills in data mining, text analysis, and machine learning.
Building a Customer Segmentation Model: Create a customer segmentation model to categorize clients based on behavior and preferences. Use clustering algorithms like K-means to identify distinct customer groups. This project teaches important concepts in machine learning and data-driven marketing strategies.
Deploying a Machine Learning Model with FastAPI: Learn to deploy machine learning models using FastAPI. Create an application that serves predictions in real-time, showcasing how to integrate machine learning into web applications. This project enhances knowledge in deployment strategies and API development.
