Foundations of ML & Python for Data Science
Completed by UDAYAPRAKASH PASUPATHI
January 7, 2026
14 hours (approximately)
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What you will learn
Gain a strong foundation in machine learning terminology, algorithms, and real-world applications.
Master key statistical concepts like probability, hypothesis testing, and data distributions for ML tasks.
Develop proficiency in Python, including core libraries like NumPy and Pandas for data analysis.
Skills you will gain
- Category: NumPy
- Category: Applied Machine Learning
- Category: Model Training
- Category: Statistical Methods
- Category: Machine Learning Methods
- Category: Descriptive Statistics
- Category: Probability
- Category: Statistical Machine Learning
- Category: Data Manipulation
- Category: Model Evaluation
- Category: Probability & Statistics
- Category: Python Programming
