MACHINE LEARNING PROFESSIONAL - L1
Completed by Nurmyrat Purmyradov on November 17, 2025
Verified learner ·
Badge ID: c84SYGCASzqOEmBggEs6MA
About this Badge
The badge earner has demonstrated proficiency in machine learning by mastering fundamental concepts, including supervised and unsupervised learning, neural networks, and model evaluation. They have gained hands-on experience building machine learning models in Python using NumPy, scikit-learn, TensorFlow, and advanced techniques such as decision trees, recommender systems, and deep reinforcement learning. Through applied projects, they have developed the skills to apply machine learning solution
Learning objectives
- Master machine learning and AI with a focus on algorithms (Supervised, Unsupervised, Regression, Classification, Clustering).
- Gain hands-on experience using relevant tools and libraries (Jupyter, Pandas, NumPy, Keras, TensorFlow).
- Develop a solid theoretical understanding and practical skills for real-world applications.
- Showcase expertise through a portfolio of projects, earning an IBM Professional Certificate for a successful machine learning career.
Skills learned
- Machine Learning
- Probability & Statistics
- Regression Analysis
- Machine Learning Algorithms
- Data Analysis
- Human Learning
- Applied Machine Learning
- Statistical Programming
- Artificial Neural Networks
- Deep Learning
- Algorithms
- Network Model
- Python Programming
- Statistics
- Probability Distribution
- Communication
- Planning
- Problem Solving
- Skills section collapsed. Showing 8 of 18 skills.
Learning content completed
Some of the content and skills presented have been contributed by the content provider.