Certificat Professionnel Obligatoire S4: IBM Machine Learning
Completed by NOUBOUGH Mouaad on June 3, 2025
Verified learner ·
Badge ID: ElTtjS_-TKKU7Y0v_oyilA
About this Badge
Certificat Professionnel Obligatoire S4: IBM Machine Learning
Learning objectives
- Apply clustering and dimensionality-reduction algorithms to analyze unlabeled data sets and evaluate cluster performance using relevant metrics.
- Develop and evaluate deep learning models using neural network architectures and explore reinforcement learning applications.
- Build and assess regression and classification models using error metrics, regularization techniques, and ensemble methods to predict outcomes and handle unbalanced data sets.
- Retrieve, clean, and engineer features from diverse data sources for exploratory data analysis and hypothesis testing in machine learning projects.
Skills learned
- Artificial Intelligence and Machine Learning (AI/ML)
- Machine Learning Algorithms
- Applied Machine Learning
- Statistical Machine Learning
- Exploratory Data Analysis
- Artificial Neural Networks
- Statistical Hypothesis Testing
- Natural Language Processing
- Linear Algebra
- Dimensionality Reduction
- Text Mining
- Generative AI
- Artificial Intelligence
- Statistical Inference
- Performance Metric
- Predictive Modeling
- Computer Vision
- Reinforcement Learning
- Supervised Learning
- Data Presentation
- Python Programming
- Deep Learning
- Unsupervised Learning
- Regression Analysis
- Web Applications
- Feature Engineering
- Data Mining
- Statistical Modeling
- Big Data
- Unstructured Data
- Machine Learning
- Data Cleansing
- Data Manipulation
- Jupyter
- Tensorflow
- NumPy
- Data Processing
- Data Science
- Statistical Analysis
- Network Architecture
- Data Access
- Data Transformation
- Data Quality
- Data Analysis
- Scikit Learn (Machine Learning Library)
- PyTorch (Machine Learning Library)
- Classification And Regression Tree (CART)
- Keras (Neural Network Library)
- Pandas (Python Package)
- Sampling (Statistics)
- Probability & Statistics
- Skills section collapsed. Showing 5 of 51 skills.
Learning content completed
Some of the content and skills presented have been contributed by the content provider.