Data Science Mastery: Journey into Machine Learning

Data Science Mastery: Journey into Machine Learning, available at $59.99, has an average rating of 4.95, with 528 lectures, based on 75 reviews, and has 922 subscribers.

You will learn about 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. This course is ideal for individuals who are Aspiring data scientists and machine learning enthusiasts who have a basic understanding of Python programming. or Learners who want to acquire comprehensive knowledge and practical skills in Python, data science, and machine learning. or 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. It is particularly useful for Aspiring data scientists and machine learning enthusiasts who have a basic understanding of Python programming. or Learners who want to acquire comprehensive knowledge and practical skills in Python, data science, and machine learning. or 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.

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Summary

Title: Data Science Mastery: Journey into Machine Learning

Price: $59.99

Average Rating: 4.95

Number of Lectures: 528

Number of Published Lectures: 519

Number of Curriculum Items: 528

Number of Published Curriculum Objects: 519

Original Price: $39.99

Quality Status: approved

Status: Live

What You Will 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.

Who Should Attend

• 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.

Target Audiences

• 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.