Data Cleaning & Preprocessing in Python for Machine Learning

Learn how to resolve Data Quality issues in Machine Learning & Data Science using Data Cleaning in Python Pandas.
4.33 (32 reviews)
Udemy
platform
English
language
Data Science
category
Data Cleaning & Preprocessing in Python for Machine Learning
149
students
1.5 hours
content
Jul 2022
last update
$19.99
regular price

Why take this course?

🌟 Data Cleaning & Preprocessing in Python for Machine Learning 🌟

Course Headline: Master the Art of Resolving Data Quality Issues in Machine Learning & Data Science with Expert Data Cleaning Techniques using Python Pandas!

Course Description: Dive into the world of data where messiness is the norm, and discover how to transform it into a treasure trove for analytics, machine learning, and beyond. Data cleaning, though often perceived as a tedious task, is a critical skill in any data scientist's arsenal. With Python Pandas as your trusted tool, you'll learn to navigate through the complexities of real-world raw data with finesse.

🚀 What You Will Learn:

  • 🚫 Tackle Missing Values: Detect and handle missing data effectively without losing valuable insights.
  • ✍️ Correct Data Types: Identify and fix incorrect data types to ensure your dataset is accurate and usable.
  • 🎨 Work with Categorical Columns: Manage categorical data skillfully, turning chaos into organized information.
  • 🔍 Replace Incorrect Values: Pinpoint and replace incorrect values with the correct ones, maintaining data integrity.
  • ⚛️ Apply Lambda for Advanced Cleaning: Utilize the Apply Lambda method to apply complex cleaning functions precisely where needed.
  • 📈 Group Data Efficiently: Group your dataset by particular columns to gain deeper insights and facilitate more sophisticated analyses.
  • 🔬 Detect & Remove Outliers: Safeguard your data against skewing results with effective outlier detection and removal strategies.
  • ⚖️ Feature Scaling: Learn the nuances of feature scaling to normalize data for optimal model performance.
  • 📝 Textual Data Cleaning in NLP: Specialize in cleaning and preprocessing textual data for natural language processing tasks.

Course Structure: This comprehensive course is designed with a variety of learning materials, including lectures, quizzes, and interactive Jupyter notebooks that will guide you through real-world scenarios. Each concept is explained thoroughly to ensure a deep understanding of the techniques and their applications in data cleaning and preprocessing.

Whether you're a beginner or an experienced professional looking to refine your skills, this course will equip you with the expertise to handle complex datasets with confidence. Enroll now and elevate your data science journey to new heights with Python Pandas! 🚀📊

Join us and turn your data into insights today!

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4796708
udemy ID
24/07/2022
course created date
03/08/2022
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