Udemy – Data-Centric Machine Learning with Python: Hands-On Guide 2025-3

Data-Centric Machine Learning with Python: Hands-On Guide. This intensive 3-4 hour course teaches the fundamental concepts and advanced techniques of data-centric machine learning in Python. In a world where data is critical, this course emphasizes the importance of data quality and its impact on model performance. Participants will learn the fundamentals of machine learning, data science tools in Python, and key steps in data preparation including exploratory analysis, missing value management, and feature engineering. Supervised learning techniques such as regression and classification are also taught, along with appropriate evaluation criteria. More advanced topics include cross-validation, hyperparameter tuning, and unsupervised learning such as clustering and anomaly detection. Practical applications such as text analytics, image classification, and recommender systems are also covered. At the end of the course, participants apply their knowledge to a real-world scenario by completing a practical loan forecasting project. This course is designed for data scientists, analysts, and technology professionals who want to use data-driven machine learning in their professional work.

What you will learn

• Data preprocessing: You effectively preprocess data for machine learning models.
• Exploratory data analysis: You perform exploratory data analysis using Python libraries.
• Supervised and unsupervised learning: You will recognize the difference between supervised and unsupervised learning.
• Building and optimizing algorithms: You build and optimize machine learning algorithms in Python.
• Data Visualization: You create insightful data visualizations and plots.
• Feature Engineering: You apply feature engineering techniques to improve models.
• Model performance evaluation: You evaluate the model’s performance with appropriate metrics.
• Solve real-world problems: You solve real-world problems using machine learning workflows.

This course is suitable for people who:

• Beginners: People looking to explore machine learning concepts.
• Python Programmers: Python programmers who want to expand their skill set.
• Data Analysts: Data analysts who are eager to transition to machine learning.
• Students: Students interested in the practical applications of data science.
• Specialists: Professionals looking to automate data-driven decision-making.
• Enthusiasts: Enthusiasts who are curious about building predictive models.

Course Details Data-Centric Machine Learning with Python: Hands-On Guide

• Publisher:  Udemy
• Instructor:  Meta Brains , Skool of AI
• Training level: Beginner to advanced
• Training duration: 3 hours and 35 minutes
• Number of lessons: 37

Course headings

Prerequisites for the Data-Centric Machine Learning with Python: Hands-On Guide course

• Basic understanding of Python programming.
• Familiarity with high school-level math concepts.
• A computer with Python and necessary libraries installed.
• No prior data science or machine learning knowledge needed!

Course images

Sample course video

Download link

Download Part 1 – 1 GB

Download Part 2 – 886 MB

File(s) password: www.downloadly.ir

File size

1.8 GB