Data Science Mastery: Journey into Machine Learning

Learn Machine Learning, Data Science and Deep Learning with Python

Created by: Tech Career World
Udemy Instructor

What Will I Learn?

• Gain proficiency in using Python libraries commonly used in data science and machine learning, such as NumPy, Pandas, and Matplotlib.
• Learn how to clean and preprocess datasets, including handling missing data, outliers, and feature scaling.
• Acquire knowledge of exploratory data analysis techniques to extract insights and patterns from data.
• Master the fundamentals of statistical analysis and apply statistical methods to interpret and draw conclusions from data.
• Understand the principles of machine learning and its various algorithms, such as regression, classification, and clustering.
• Learn how to select appropriate machine learning models and techniques for different types of problems and datasets.
• Develop skills in feature engineering and selection to enhance the performance of machine learning models.

Requirements

• Just passion for learning!

Target audience

• Aspiring data scientists and machine learning enthusiasts who have a basic understanding of Python programming.
• Learners who want to acquire comprehensive knowledge and practical skills in Python, data science, and machine learning.
• The course content is tailored to provide valuable insights and hands-on experience to individuals aiming to excel in data-driven problem-solving and analysis.