Machine Learning For Beginners: Build and Train an ML Model

Machine Learning For Beginners: Build and Train an ML Model, available at $54.99, has an average rating of 4.57, with 41 lectures, based on 7 reviews, and has 880 subscribers.

You will learn about Understand Machine Learning Fundamentals Identify Data Science Roles and Responsibilities Acquire data from multiple sources and perform data cleaning to ensure accuracy and consistency. Conduct exploratory data analysis (EDA) and create visualizations to uncover patterns and insights using tools like Matplotlib and Seaborn. Implement strategies for detecting, handling, and imputing missing data. Identify and work with various data types, including numerical, categorical Develop, train, and evaluate machine learning models using libraries like Scikit-Learn. Conduct feature engineering to enhance model performance by creating, transforming, and selecting features. Interpret the results of machine learning models, including understanding metrics like accuracy, precision, recall, and F1 score. Execute data preprocessing steps, including normalization, standardization, and encoding categorical variables. This course is ideal for individuals who are Beginners with No Prior Experience or Career Changers or Undergraduate and graduate students in any discipline who want to gain foundational knowledge in data science. or Business analysts, managers, and decision-makers who want to leverage data for strategic planning and operational efficiency. or Educators who want to incorporate data science concepts into their curriculum or research. or Hobbyists and tech enthusiasts eager to learn about data science and its applications. It is particularly useful for Beginners with No Prior Experience or Career Changers or Undergraduate and graduate students in any discipline who want to gain foundational knowledge in data science. or Business analysts, managers, and decision-makers who want to leverage data for strategic planning and operational efficiency. or Educators who want to incorporate data science concepts into their curriculum or research. or Hobbyists and tech enthusiasts eager to learn about data science and its applications.

Enroll now: Machine Learning For Beginners: Build and Train an ML Model

Summary

Title: Machine Learning For Beginners: Build and Train an ML Model

Price: $54.99

Average Rating: 4.57

Number of Lectures: 41

Number of Published Lectures: 41

Number of Curriculum Items: 41

Number of Published Curriculum Objects: 41

Original Price: $39.99

Quality Status: approved

Status: Live

What You Will Learn

• Understand Machine Learning Fundamentals
• Identify Data Science Roles and Responsibilities
• Acquire data from multiple sources and perform data cleaning to ensure accuracy and consistency.
• Conduct exploratory data analysis (EDA) and create visualizations to uncover patterns and insights using tools like Matplotlib and Seaborn.
• Implement strategies for detecting, handling, and imputing missing data.
• Identify and work with various data types, including numerical, categorical
• Develop, train, and evaluate machine learning models using libraries like Scikit-Learn.
• Conduct feature engineering to enhance model performance by creating, transforming, and selecting features.
• Interpret the results of machine learning models, including understanding metrics like accuracy, precision, recall, and F1 score.
• Execute data preprocessing steps, including normalization, standardization, and encoding categorical variables.

Who Should Attend

• Beginners with No Prior Experience
• Career Changers
• Undergraduate and graduate students in any discipline who want to gain foundational knowledge in data science.
• Business analysts, managers, and decision-makers who want to leverage data for strategic planning and operational efficiency.
• Educators who want to incorporate data science concepts into their curriculum or research.
• Hobbyists and tech enthusiasts eager to learn about data science and its applications.

Target Audiences

• Beginners with No Prior Experience
• Career Changers
• Undergraduate and graduate students in any discipline who want to gain foundational knowledge in data science.
• Business analysts, managers, and decision-makers who want to leverage data for strategic planning and operational efficiency.
• Educators who want to incorporate data science concepts into their curriculum or research.
• Hobbyists and tech enthusiasts eager to learn about data science and its applications.