Machine Learning Data Science Course

4.1

(111 reviews)

16 Lessons
56 Students
Certificate of completion

Track:

Programming

Data Science is a field about processes and systems to extract data from structured and semi-structured data. Machine Learning is a field of study that gives computers the capability to learn without being explicitly programmed .

To Register in Course you have to watch at least 30 Second of any lesson

What You'll Learn

Master data preprocessing, cleaning, and transformation techniques for effective machine learning models in data science
Implement supervised and unsupervised machine learning algorithms for real-world data analysis and prediction tasks
Apply feature engineering and selection methods to improve model accuracy and performance in data science projects
Evaluate model performance using metrics like accuracy, precision, recall, and F1 score for data-driven decision making
Utilize Python, R, and popular libraries to develop, test, and deploy machine learning models in data science workflows
Interpret data visualizations and statistical summaries to extract actionable insights from structured and semi-structured data
Design scalable data pipelines and automate machine learning processes for efficient data science operations
Integrate machine learning models into business solutions to solve complex problems and optimize outcomes