Supervised Machine Learning: Regression and Classification
I learned how to build supervised machine learning models. I learned how to use regression models to predict continuous values, and how to use classification models to predict discrete values. I learned how to use Python to build machine learning models, and how to evaluate the performance of your models.
Learn to analyze data using Python. I learned how to use Python libraries such as Pandas, Numpy, and Matplotlib to work with data. I learned how to clean data, perform exploratory data analysis, and create data visualizations. I learned how to use Python to answer questions about the data, and how to share the results of your analysis.
Learn the basics of programming and how to think computationally. I learned how to write programs that take inputs, process them, and produce outputs. I learned how to debug programs and how to solve programming problems. I learned how to express algorithms precisely using pseudo-code and control flow. I learned how to write Python programs that use variables, conditional statements, loops, functions, and lists.
I learned courses about IT Support, Software, and Network Security. I learned how to troubleshoot and solve problems. It was such an amazing experience. I learned a lot of new things and I am very happy to have taken this course.
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