- What is Data Preprocessing?
- Checking for Null Values: Concept + Python Code
- Correlated Feature Check: Concept + Python Code
- Data Molding(Encoding): Concept + Python Code
- Data Splitting
- Data Splitting : Python Code
- Impute Missing Values: Concept + Python Code
- Scaling
- Scaling: Python Code
- Label Encoder: Concept + Code
- One-Hot Encoder: Concept + Python Code
What you'll learn
- What is Data Preprocessing? What are various types of Data Preprocessing and why we need it.
Description
This course is designed to understand the basic concept of data preprocessing. Anyone can opt for this course. No prior understanding of machine learning is required. The data pre-processing concept and its implementation in Python are covered in detail.
Data quality is critical to a successful machine learning model. Data preprocessing is a prerequisite for machine learning. We cannot feed into machine learning algorithms as raw data. It is important to clean the data, analyze it, and transform it to understand machine learning algorithms.
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About the instructors
- 4.14 Calificación
- 49195 Estudiantes
- 5 Cursos
Rishi Bansal
Senior Developer
A total of 13 years of experience. I started my career as a programmer. Apart from programming, I have worked on Cloud & Virtualization technology, DevOps and Machine Learning. Also, I have very good knowledge of software design methodologies, information systems architecture, object oriented design, and software design patterns. Teaching is my passion. I hope you will enjoy my course.
Student feedback
Course Rating
Reviews
good!
it is good for basic understanding
Recommended for absolute beginners. I couldn't understand the instructors' english all the time, but the code is easy to understand.
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Nice tutorial.
Inglês horroroso. Curso muito curto. Simples
Superb Course, Highly recommend this course
nice course