Python for Data Science and Machine Learning

Python is the backbone of AI and ML development, offering versatile libraries and an easy-to-learn syntax. This course focuses on applying Python to manipulate data and build machine learning models.

Python is the backbone of data science and machine learning due to its simplicity and extensive libraries. This course emphasizes using Python for tasks like data manipulation, visualization, and building predictive models. You’ll explore libraries such as NumPy for numerical computations, pandas for data analysis, and scikit-learn for machine learning algorithms. Hands-on projects will teach you how to clean datasets, perform exploratory analysis, and implement supervised and unsupervised learning models. By the end, you’ll be equipped to solve data-driven problems efficiently and create practical applications in various domains using Python.

What You’ll Learn:

• Basics of Python programming and data structures.
• Utilizing libraries like NumPy, pandas, and matplotlib for data handling.
• Building ML models using scikit-learn and TensorFlow.