07-16-2024, 11:31 AM
[center]![[Image: Feature-Engineering-in-ML.jpg]](https://i.postimg.cc/3rC56vjm/Feature-Engineering-in-ML.jpg)
Published 7/2024
Created by Miuul Data Science & Deep Learning
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 39 Lectures ( 4h 34m ) | Size: 1.51 GB
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Master Data Preprocessing and Feature Engineering with Python.
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What you'll learn:
Master techniques to clean and preprocess raw data for analysis.
Apply various methods to handle and encode outliers and missing values.
Implement scaling and transformation strategies to enhance data quality.
Perform feature extraction from different data types and optimize models.
Requirements:
Basic understanding of Python programming is recommended.
Enthusiasm for learning data manipulation and application of statistical methods.
Description:
Unlock the potential of your data with Miuul's targeted, high-impact course designed to equip you with the essential skills in feature engineering. This course teaches you how to clean, process, and enhance raw data, transforming it into a format ready for advanced machine learning models. You will master the techniques to cleanse and prepare raw data, making it ideal for deeper analysis and modeling. Additionally, you will explore advanced feature techniques such as handling outliers, encoding categorical variables, and scaling features to enhance model accuracy and performance.What You Will LearnOver the course of 4.5 hours of focused content, this course takes you straight to the heart of feature engineering. The learning experience is made interactive with quizzes that reinforce the concepts taught in each section, helping you to engage thoroughly with the material. By the end of the course, you will earn a certificate of completion that adds significant value to your professional profile.Course FeaturesThis course offers quick skill enhancement, upgrading your abilities in data processing significantly. The methods taught are highly valued in tech and data science roles across industries, making this training not only relevant but also practical. You can learn at your convenience, proceeding at your own pace and fitting the learning into your schedule. The course includes all the resources you need to understand and apply feature engineering effectively.Why This Course?Whether you are looking to advance in your current role, tackle new challenges, or lead data-driven projects, this course is your gateway to unlocking the power of data. Equip yourself with valuable skills crucial in today's data-centric job market! The course structure includes a detailed exploration of techniques for dealing with outliers, missing values, encoding strategies, and feature scaling, alongside hands-on practice with the Titanic dataset to apply what you've learned. A comprehensive quiz at the end helps to consolidate your knowledge and earn your certificate.Enroll NowTake the first step towards mastering feature engineering and start transforming data into actionable insights today by enrolling in Miuul's transformative course!
Who this course is for:
Beginners interested in starting a career in data science or machine learning.
Data analysts and professionals looking to refine their feature engineering skills.
Students and researchers who require advanced data manipulation techniques for projects.
IT professionals seeking to understand data preprocessing to improve system insights.
Homepage
Published 7/2024
Created by Miuul Data Science & Deep Learning
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 39 Lectures ( 4h 34m ) | Size: 1.51 GB
[/center]
[center]
Master Data Preprocessing and Feature Engineering with Python.
[/center]
What you'll learn:
Master techniques to clean and preprocess raw data for analysis.
Apply various methods to handle and encode outliers and missing values.
Implement scaling and transformation strategies to enhance data quality.
Perform feature extraction from different data types and optimize models.
Requirements:
Basic understanding of Python programming is recommended.
Enthusiasm for learning data manipulation and application of statistical methods.
Description:
Unlock the potential of your data with Miuul's targeted, high-impact course designed to equip you with the essential skills in feature engineering. This course teaches you how to clean, process, and enhance raw data, transforming it into a format ready for advanced machine learning models. You will master the techniques to cleanse and prepare raw data, making it ideal for deeper analysis and modeling. Additionally, you will explore advanced feature techniques such as handling outliers, encoding categorical variables, and scaling features to enhance model accuracy and performance.What You Will LearnOver the course of 4.5 hours of focused content, this course takes you straight to the heart of feature engineering. The learning experience is made interactive with quizzes that reinforce the concepts taught in each section, helping you to engage thoroughly with the material. By the end of the course, you will earn a certificate of completion that adds significant value to your professional profile.Course FeaturesThis course offers quick skill enhancement, upgrading your abilities in data processing significantly. The methods taught are highly valued in tech and data science roles across industries, making this training not only relevant but also practical. You can learn at your convenience, proceeding at your own pace and fitting the learning into your schedule. The course includes all the resources you need to understand and apply feature engineering effectively.Why This Course?Whether you are looking to advance in your current role, tackle new challenges, or lead data-driven projects, this course is your gateway to unlocking the power of data. Equip yourself with valuable skills crucial in today's data-centric job market! The course structure includes a detailed exploration of techniques for dealing with outliers, missing values, encoding strategies, and feature scaling, alongside hands-on practice with the Titanic dataset to apply what you've learned. A comprehensive quiz at the end helps to consolidate your knowledge and earn your certificate.Enroll NowTake the first step towards mastering feature engineering and start transforming data into actionable insights today by enrolling in Miuul's transformative course!
Who this course is for:
Beginners interested in starting a career in data science or machine learning.
Data analysts and professionals looking to refine their feature engineering skills.
Students and researchers who require advanced data manipulation techniques for projects.
IT professionals seeking to understand data preprocessing to improve system insights.
Homepage
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