Data Science 2023: Data Preprocessing & Feature Engineering
Master data cleaning & feature engineering for machine learning! Learn Pandas & Scikit-learn to prepare data for powerful AI models.
Course Content
Data Science 2023: Data Preprocessing & Feature Engineering is an all-levels Udemy course taught by Anupam Khare. It runs 6h 14m, is taught in English, and includes a certificate of completion. Learners rate it 4.3 out of 5 from 40 reviews, with 303 students enrolled. It is a paid course, last updated February 2023.
Real-world data is often messy! That's why data preprocessing frequently consumes around 70% of the time in a Machine Learning (ML) project. Finding focused resources on this critical, yet often overlooked, step can be difficult.
Introducing "Data Science Course: Data Cleaning & Feature Engineering" – a comprehensive, in-depth course dedicated entirely to the challenging world of data preprocessing in Machine Learning. If you're looking to significantly improve your data preprocessing skills and build high-performing ML models, this course is designed for you!
Developed by experienced Data Scientists, this course demystifies the why and how of effective data preprocessing. I'll guide you through each step of the process, equipping you with new skills and a deeper understanding of how to tackle complex data cleaning challenges.
Here's a breakdown of what you'll learn:
- Part 1 - EDA (Exploratory Data Analysis): Uncover valuable insights hidden within your dataset.
- Part 2 - Data Cleaning: Master techniques to effectively clean your data based on the insights gained from EDA.
- Part 3 - Data Manipulation: Learn to generate new features, subset data, and work efficiently with dates and other data types.
- Part 4 - Feature Engineering: Prepare your data for optimal model performance through strategic feature creation.
- Part 5 - Function Writing with Pandas DataFrame: Automate your data preprocessing tasks with powerful Python scripting.
Bonus Section: Gain valuable interview preparation tips and strategies to boost your career prospects as a data science professional.
Who is this course for?
- Anyone aiming to become proficient in data preprocessing.
- Aspiring data scientists seeking a deeper understanding of data nuances and treatment.
- Budding data scientists looking to refine their data preprocessing skills.
- Anyone interested in the crucial data preprocessing phase of the data science process.
Important Note: This course is specifically focused on data preprocessing and is not designed for those primarily interested in learning machine learning algorithms themselves.
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