Passionate Computer Science Educator: ChatGpt Prompt Engineering | Empowering Diverse Learners in Java | Python | C | C++ | Data Structure | RDBMS
Please repost it👍 Some useful Python modules: Numpy - Provides powerful mathematical and scientific computing capabilities. Useful for numerical data and high-performance operations. Pandas - Offers easy data manipulation and analysis tools for working with structured data and time series. Great for data cleaning, preparation, and munging. Matplotlib - A robust plotting and visualization library to create charts, graphs, histograms, etc. Makes matplotlib eas Scikit-learn - Provides a range of supervised and unsupervised machine learning algorithms for predictive modeling and analysis. TensorFlow - An end-to-end open-source platform for machine learning and neural networks. Enables building and training ML models. Keras - A high-level API for building and training deep learning models conveniently with features like regularization, optimization, etc. PyTorch - Facebook's ML library providing tensor computation with GPU acceleration and auto differentiation capabilities. OpenCV - Implements algorithms for real-time computer vision and image/video processing. Facial recognition, object detection, etc. BeautifulSoup - Web scraping library to extract data from HTML and XML documents. Parses markup conveniently. Requests - Allows sending HTTP requests extremely easily to interact with web APIs and servers. Simplifies web interactions. Khurshid Md Anwar #numpy #pandas #matplotlib #seaborn #sklearn #tensorflow #keras #pytorch #opencv #beautifulsoup #requests