Key Python libraries and frameworks essential for Data Science expertise include NumPy and pandas for data manipulation, Matplotlib and Seaborn for data visualization, and scikit-learn for machine learning. Additionally, TensorFlow and PyTorch are vital for deep learning, while Jupyter notebooks facilitate interactive data analysis and reporting. These tools empower Data Scientists to work efficiently and effectively in their field.
If you are interested in getting into this field, then check out this video about Sravan and how he became an expert in using Python for Data Science with the help of Intellipaat’s Machine Learning Course.
Back