Watch Scikit Learn Tutorial | Scikit-Learn Workflow | Data Preprocessing In Machine Learning | Intellipaat Video Tutorial


Tutorial Details & Info

Tutorial Title: Scikit Learn Tutorial | Scikit-Learn Workflow | Data Preprocessing In Machine Learning | Intellipaat
Instructor / Channel: Intellipaat
Lesson Runtime: 57:10 Minutes
Publish Date: October 12, 2022
Total Students / Views: 122,550 views

Master the concepts in Scikit Learn Tutorial | Scikit-Learn Workflow | Data Preprocessing In Machine Learning | Intellipaat presented by Intellipaat. The total lesson runtime is 57:10 minutes with detailed practical demonstrations. Follow along to build your skills today on TutorTube.

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Course Description & Lesson Notes

Official Video Description:

This video on "Data Preprocessing In Machine Learning" will help you understand both the theoretical and implementation details about data preprocessing and how to achieve it with scikit-learn library. The session will begin by bulding programming intuition for scikit-learn algorithmic workflow. Understand the different steps involved in data preprocessing such as handling missing values, value imputation, data scaling, and data encoding. So, let's get started with this second Scikit-Learn tutorial for beginners! 🔵 The topics covered in this tutorial are: 00:00 - Scikit-Learn Workflow 13:49 - Data Cleaning And Preprocessing 24:08 - Value Imputation 36:15 - Feature Engineering 40:27 - Data Encoding 44:30 - Data Scaling ✅What Is Scikit-Learn? Scikit-learn (previously scikits.learn and also known as sklearn) is a free software machine learning package for Python. It features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy. Scikit-learn (Sklearn) is the most useful and robust library for machine learning in Python. It provides a selection of efficient tools for machine learning and statistical modeling including classification, regression, clustering and dimensionality reduction via a consistence interface in Python. ✅Prerequisites to Use Scikit-Learn 1. Python Programming Environment 2. SciPy 3. NumPy 4. Pandas 5. Matplotlib 🔵 Intellipaat Training courses: https://intellipaat.com/ Intellipaat is a global online professional training provider. We are offering some of the most updated, industry-designed certification training programs which includes courses in Big Data, Data Science, Artificial Intelligence and 150 other top trending technologies. We help professionals make the right career decisions, choose the trainers with over a decade of industry experience, provide extensive hands-on projects, rigorously evaluate learner progress and offer industry-recognized certifications. We also assist corporate clients to upskill their workforce and keep them in sync with the changing technology and digital landscape. #scikitlearntutorial #scikitlearnworkflow #datapreprocessinginmachinelearning #datapreprocessing #scikitlearn #scikit #scikitlearnworkflowexplained #machinelearningtutorialforbeginners #intellipaat 📌 Do subscribe to Intellipaat channel & get regular updates on videos: https://goo.gl/hhsGWb ---------------------------- Intellipaat Edge 1. 24*7 Life time Access & Support 2. Flexible Class Schedule 3. Job Assistance 4. Mentors with +14 yrs 5. Industry Oriented Course ware 6. Life time free Course Upgrade ------------------------------ For more information: Please write us to sales@intellipaat.com or call us at: +91-7847955955 Website: https://intellipaat.com/ Facebook: https://www.facebook.com/intellipaatonline Telegram: https://t.me/s/Learn_with_Intellipaat Instagram: https://www.instagram.com/intellipaat LinkedIn: https://www.linkedin.com/company/intellipaat-software-solutions/ Twitter: https://twitter.com/Intellipaat

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Learn how to understand Scikit Learn Tutorial | Scikit-Learn Workflow | Data Preprocessing In Machine Learning | Intellipaat with this comprehensive video tutorial guide. Throughout this course, you will learn essential skills for Scikit Learn Tutorial | Scikit-Learn Workflow | Data Preprocessing In Machine Learning | Intellipaat.

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🎓 Lesson Overview & Learning Outcomes:

Welcome to the step-by-step video guide for Scikit Learn Tutorial | Scikit-Learn Workflow | Data Preprocessing In Machine Learning | Intellipaat taught by Intellipaat. This tutorial provides a comprehensive walkthrough designed to take you from foundational principles to practical implementation.

💡 Key Topics Covered in This Course:

  • Core Fundamentals & Setup: Understanding the workspace, essential tools, and initial setup for Scikit Learn Tutorial | Scikit-Learn Workflow | Data Preprocessing In Machine Learning | Intellipaat.
  • Step-by-Step Practical Demonstration: Hands-on implementation guided by Intellipaat with real-world examples.
  • Best Practices & Key Shortcuts: Time-saving workflows, keyboard shortcuts, and industry-standard recommendations.
  • Troubleshooting & Common Pitfalls: How to avoid common beginner errors and optimize your workflow for peak efficiency.

📋 Recommended Prerequisites & Study Notes:

No prior advanced experience is required. Follow along with the video player above on any desktop computer, tablet, or mobile device. Pause and rewind at key steps to practice along with the instructor.

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