Course Outline
Foundations of Applied Machine Learning
- Comparing Statistical Learning and Machine Learning
- Cycles of Iteration and Assessment
- Understanding the Bias-Variance Trade-off
Supervised vs. Unsupervised Learning
- Overview of Machine Learning Languages, Categories, and Use Cases
- Distinguishing Supervised from Unsupervised Methods
Supervised Learning Methods
- Decision Tree Structures
- Random Forest Algorithms
- Assessing Model Performance
Implementing Machine Learning in Python
- Selecting the Right Libraries
- Utilizing Supplementary Tools
Regression Analysis
- Linear Regression Models
- Addressing Nonlinearity and Generalizations
- Practical Exercises
Classification Techniques
- Refresher on Bayesian Concepts
- Naive Bayes Algorithm
- Logistic Regression
- K-Nearest Neighbors
- Practical Exercises
Validation via Cross-validation and Resampling
- Strategies for Cross-validation
- Bootstrap Techniques
- Practical Exercises
Unsupervised Learning Techniques
- K-means Clustering
- Illustrative Examples
- Addressing Challenges in Unsupervised Learning and Methods Beyond K-means
Neural Networks
- Understanding Layers and Nodes
- Python Libraries for Neural Networks
- Integration with scikit-learn
- Working with PyBrain
- Deep Learning Concepts
Requirements
Proficiency in Python is required. A foundational understanding of statistics and linear algebra is also advised.
Testimonials (7)
Interesting knowledge
Gabriel - MINDEF
Course - Machine Learning with Python – 4 Days
The trainer was a practitioner with a lot of experience and had a very good knowledge of the material.
Witold Iwaniec - City of Calgary
Course - Machine Learning with Python – 4 Days
The trainer because he could handle almost every subject and situation.
Florin Babes - eMAG IT RESEARCH SRL
Course - Machine Learning with Python – 4 Days
The manner in which the trainer explained the concepts, his positive and welcoming attitude and the real-world examples provided for each exercise.
Ovidiu Calita - eMAG IT RESEARCH SRL
Course - Machine Learning with Python – 4 Days
Very good training session with nice documentation and exercises and Kristian did it like a professional he is.
Adrian Boulescu - eMAG IT RESEARCH SRL
Course - Machine Learning with Python – 4 Days
I like that he is very skilled and has lots of knowledge in his domain.
dan dumitriu - eMAG IT RESEARCH SRL
Course - Machine Learning with Python – 4 Days
rich documentation and many resources as course support, as well as resources for the post-course learning process
