Python for Data Science and Machine Learning
Develop essential programming & development skills with expert instruction and practical examples.
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About This Course
Welcome to the "Python Mastery Practice Test: From Basics to Advanced" course. This practice test is designed to help you solidify your understanding of Python programming, data analysis, and machine learning. Whether you're a beginner looking to strengthen your foundational knowledge or an experienced developer seeking to enhance your skills, this practice test will provide you with a comprehensive and practical assessment of your abilities.
What You'll Learn:Python Programming Basics: Test your understanding of Python syntax, variables, data types, control flow, functions, and data structures. Ensure you have a solid foundation in Python programming. Data Analysis with NumPy and Pandas: Assess your skills in creating and manipulating arrays, DataFrames, and performing data operations.
Learn to handle real-world data efficiently. Data Visualization: Validate your ability to create and customize plots using Matplotlib, Seaborn, and Plotly. Enhance your data storytelling skills through effective visualizations.
Machine Learning Fundamentals: Evaluate your knowledge of machine learning concepts, algorithms, and model evaluation techniques. Test your understanding of both supervised and unsupervised learning methods. Practical Applications and Projects: Apply your skills to real-world scenarios, including data wrangling, feature engineering, model deployment, and database connectivity.
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