Course Outline
Introduction to Applied Machine Learning
- Distinguishing between statistical learning and Machine learning
- The iteration and evaluation process
- Understanding the Bias-Variance trade-off
Supervised Learning and Unsupervised Learning
- Overview of Machine Learning languages, types, and use cases
- Comparing Supervised and Unsupervised Learning approaches
Supervised Learning
- Decision Trees
- Random Forests
- Evaluating model performance
Implementing Machine Learning with Python
- Selecting the appropriate libraries
- Utilizing supplementary tools
Regression
- Linear regression
- Exploring generalizations and Nonlinearity
- Practical Exercises
Classification
- Key concepts from Bayesian statistics
- Naive Bayes
- Logistic regression
- K-Nearest neighbors
- Practical Exercises
Cross-validation and Resampling
- Different Cross-validation methodologies
- The Bootstrap technique
- Practical Exercises
Unsupervised Learning
- K-means clustering
- Illustrative Examples
- Addressing challenges in unsupervised learning beyond K-means
Neural Networks
- Understanding layers and nodes
- Python libraries for neural networks
- Implementation using scikit-learn
- Implementation using PyBrain
- Introduction to Deep Learning
Requirements
Participants are expected to have a solid understanding of the Python programming language. Additionally, foundational knowledge in statistics and linear algebra is strongly recommended.
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
