UCI Data Preprocessing and Exploratory Data Analysis
"Unlocking the Power of Data: Mastering Data Preprocessing and Exploratory Data Analysis for Machine Learning at UCI"
Python,Data & Analytics,Data Science and AI ML
Lectures -5
Duration -34 mins
30-days Money-Back Guarantee
Get your team access to 10000+ top Tutorials Point courses anytime, anywhere.
Course Description
Welcome to the "UCI Data Preprocessing and Exploratory Data Analysis in Machine Learning" course, where we'll dive into the essential steps of preparing and understanding your data for effective machine learning. In this course, we will equip you with the knowledge and techniques necessary to harness the full potential of data in your machine learning endeavors using datasets from the UCI Machine Learning Repository.
Course Highlights:
1. Data Preprocessing Essentials: Begin by learning the critical steps involved in data preprocessing. You'll explore techniques for handling missing data, dealing with outliers, and performing data transformations to ensure the quality and integrity of your datasets.
2. UCI Machine Learning Repository: Gain familiarity with the UCI Machine Learning Repository, a valuable resource for access to a wide range of datasets. Learn how to retrieve, load, and work with datasets from this repository for various machine learning tasks.
3. Exploratory Data Analysis (EDA): Dive into the world of EDA, where you'll uncover hidden patterns and gain valuable insights from your data. Explore data visualization techniques, statistical summaries, and data profiling to understand your datasets thoroughly.
4. Feature Engineering: Discover the art of feature engineering and how to create informative features that improve the predictive power of your machine learning models. You'll learn techniques for selecting, transforming, and creating new features from existing data.
5. Data Preparation for Modeling: Understand the crucial steps of preparing data for machine learning models. This includes data encoding, splitting into training and testing sets, and ensuring that your data is ready for various algorithms.
6. Hands-on Projects: Apply your knowledge through hands-on projects and exercises. Work with real-world datasets from the UCI repository to practice data preprocessing and EDA techniques in the context of practical machine learning problems.
7. Data Visualization: Master data visualization techniques that help you communicate your findings effectively. Create impactful charts and graphs to convey your data-driven insights to stakeholders.
8. Best Practices and Pitfalls: Learn best practices for data preprocessing and EDA, as well as common pitfalls to avoid. Gain insights into how to make informed decisions at each stage of data preparation.
9. Real-world Applications: Explore real-world applications of data preprocessing and EDA across various domains, including healthcare, finance, and marketing. Understand how these techniques are applied to solve complex problems.
10. Preparing for Advanced Machine Learning: Set the stage for advanced machine learning tasks by mastering the fundamentals of data preparation and EDA. You'll be well-prepared to tackle more complex machine learning challenges.
Goals
What will you learn in this course:
You will understand how to evaluate Bard’s responses and check them for accuracy, quality, and relevance using Google Search or other sources
Prerequisites
What are the prerequisites for this course?
Students will need a computer/laptop to do the practical implementation.
Curriculum
Check out the detailed breakdown of what’s inside the course
Setting the Foundation: Data Preprocessing and Exploratory Data Analysis
1 Lectures
- Setting the Foundation: Data Preprocessing and Exploratory Data Analysis 01:57 01:57
Accessing Data: UCI Machine Learning Repository
1 Lectures
Converting Categorical Data to Numerical: A Transformation Journey
1 Lectures
Mastering Data Preprocessing and Exploratory Data Analysis: A Hands-On Guide for
1 Lectures
Unveiling Toxicity: Exploratory Data Analysis for Comment Classification
1 Lectures
Instructor Details
AKHIL VYDYULA
eCourse Certificate
Use your certificate to make a career change or to advance in your current career.
Our students work
with the Best
Related Video Courses
View MoreAnnual Membership
Become a valued member of Tutorials Point and enjoy unlimited access to our vast library of top-rated Video Courses
Subscribe nowOnline Certifications
Master prominent technologies at full length and become a valued certified professional.
Explore Now