Course Outline
Introduction to Applied Machine Learning
- Distinguishing Statistical Learning from Machine Learning
- The Role of Iteration and Evaluation
- Understanding the Bias-Variance Trade-off
Supervised Learning and Unsupervised Learning
- An Overview of Machine Learning Languages, Types, and Examples
- Key Differences Between Supervised and Unsupervised Learning
Supervised Learning
- Decision Trees
- Random Forests
- Techniques for Model Evaluation
Machine Learning with Python
- Selecting the Right Libraries
- Exploring Add-on Tools
Regression Analysis
- Linear Regression Fundamentals
- Generalizations and Handling Nonlinearity
- Practical Exercises
Classification Techniques
- Refresher on Bayesian Concepts
- Naive Bayes Classifier
- Logistic Regression
- K-Nearest Neighbors (KNN)
- Practical Exercises
Cross-validation and Resampling
- Diverse Cross-validation Approaches
- The Bootstrap Method
- Practical Exercises
Unsupervised Learning
- K-means Clustering Algorithm
- Illuminating Examples
- Challenges in Unsupervised Learning and Advanced K-means Concepts
Neural Networks
- Architecture: Layers and Nodes
- Numerous Python Neural Network Libraries
- Effective Use of scikit-learn
- Utilizing PyBrain
- Introduction to Deep Learning
Requirements
A solid understanding of Python programming is required. Basic familiarity with statistics and linear algebra is 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
