Machine Learning For Beginners: Build and Train an ML Model
A Step-by-Step Guide to Understanding, Building, and Evaluating Your First Machine Learning Model
4.46 (27 reviews)
955
students
2.5 hours
content
Jun 2024
last update
$19.99
regular price
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.
6047333
udemy ID
6/28/2024
course created date
7/2/2024
course indexed date
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