Python for Data Science and Machine Learning (Beginner)
In this quest, you will dive into the world of Python programming specifically tailored for data science and machine learning. Starting from the basics, you’ll learn how to set up your Python environment, use essential libraries such as NumPy, Pandas, and Matplotlib, and understand fundamental concepts in data manipulation and visualization. As you progress, you'll explore machine learning algorithms, learning how to implement supervised and unsupervised learning models using Scikit-learn. By the end of this quest, you will have hands-on experience creating data-driven projects and be well-equipped to tackle real-world data science challenges.
• Set up Python and essential libraries for data science.
• Understand data manipulation techniques using Pandas.
• Visualize data with Matplotlib and Seaborn.
• Implement basic machine learning algorithms using Scikit-learn.
