This course covers Python for data science and machine learning in detail and is for a beginner in Python. You will also learn about core concepts of data science, exploratory data analysis, statistical methods, role of data, challenges of bias, variance and overfitting, model evaluation techniques, model optimization using hyperparameter tuning, grid search cross-validation techniques, and more.
This course will get you started with Nmap and teach you all the techniques and tricks needed for scanning and probing computer networks, including host discovery and operating system detection by sending packets and analyzing the responses.