Data Analysis Dashboard

Description: A project to load, clean, and visualize datasets. It includes data ingestion using Pandas, summary statistics, and interactive plots with Plotly to generate a data dashboard.

Conceptual Code Includes:

·      Reading CSV files

·      Cleaning and transforming data

·      Plotting interactive charts

Web Scraper and Data Extractor

 Description: A Python project for scraping websites using libraries like Requests and BeautifulSoup. It includes HTML parsing, data extraction, and saving the results to CSV files for further analysis.

        Conceptual Code Includes:

·      HTTP requests to target pages

·      HTML content parsing and extraction

·      Outputting the scraped data into structured formats

Machine Learning Model for Classification

 Description: This project focuses on building a machine learning classifier using Scikit-learn. It covers data preprocessing, building and tuning a model (for example a RandomForestClassifier) and generating performance metrics and visualizations.

Conceptual Code Includes:

·      Data splitting and feature engineering

·      Model training, validation, and testing

·      Plotting performance metrics such as ROC curves