Course Outline
Introduction to Applied Machine Learning
- Distinguishing between statistical learning and Machine learning
- The cycle of iteration and evaluation
- Understanding the Bias-Variance trade-off
Supervised and Unsupervised Learning Paradigms
- Overview of Machine Learning languages, types, and applications
- Comparing Supervised and Unsupervised Learning
Supervised Learning Techniques
- Decision Trees
- Random Forests
- Strategies for Model Evaluation
Implementing Machine Learning with Python
- Selecting the appropriate libraries
- Utilizing auxiliary tools
Regression Analysis
- Linear regression fundamentals
- Generalizations and handling nonlinearity
- Practical Exercises
Classification Methods
- Refresher on Bayesian principles
- Naive Bayes algorithm
- Logistic regression
- K-Nearest Neighbors (K-NN)
- Practical Exercises
Cross-validation and Resampling Methods
- Various Cross-validation strategies
- Bootstrap technique
- Practical Exercises
Unsupervised Learning Approaches
- K-means clustering
- Case study examples
- Challenges in unsupervised learning and advanced methods beyond K-means
Neural Networks
- Architecture of layers and nodes
- Python libraries for neural networks
- Implementation using scikit-learn
- Implementation using PyBrain
- Introduction to Deep Learning
Requirements
Proficiency in Python programming is required. A foundational understanding of statistics and linear algebra is strongly 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
