Language: English (US)
Master Python for Data Science: Classification, Regression, Data Visualization, and Feature Engineering Techniques
https://www.udemy.com/course/python-for-data-science-beginner-to-advance/
Welcome to "Python for Data Science: From Basics to Advanced Techniques"! This comprehensive course is designed to equip you with the essential skills and knowledge required to excel in data science using Python. Whether you are a beginner or looking to advance your data science capabilities, this course covers everything you need to know. We start with an introduction to Python and its application in data science, ensuring you are comfortable with programming fundamentals. Next, we dive into classification problems, using real-world datasets to classify income levels and understand how different attributes influence these predictions. Our journey continues with regression analysis, where you'll learn to predict continuous values, such as the price of pre-owned cars. We will guide you through data cleaning, exploratory data analysis, and building regression models using various techniques, including linear regression and random forests. Data visualization is another critical area covered in this course. You will master tools like Matplotlib and Seaborn to create insightful visualizations that help you interpret data trends and patterns effectively. Feature engineering is also a focal point, teaching you how to preprocess and transform raw data into meaningful features that improve model performance. We emphasize practical, hands-on exercises and real-world projects to solidify your understanding and application of these concepts. By the end of this course, you will have a robust foundation in data science, equipped with the skills to tackle complex data problems and derive actionable insights using Python. Join us on this exciting journey and take your data science expertise to the next level!
Python_For_Data_Science.part1.rar Python_For_Data_Science.part1.rar Python_For_Data_Science.part2.rar
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