Python Machine Learning Course
Python Machine Learning Course.
Prerequisites: Basic knowledge of Python
Our Style: Hands-on, Practical
Location: Online, Instructor-led
Download: anaconda.com
Duration: 3 hours
Pre-requisites: Basic Python Skills
Python Machine Learning Course
Our Python Machine Learning Course is a practical, instructor-led course for learners with basic Python knowledge who want to develop real-world machine learning skills. You will learn how to use Python and scikit-learn to prepare and analyse data and build, test and evaluate machine learning models. The course introduces supervised and unsupervised learning, classification, regression, clustering, dimensionality reduction, feature engineering and data preprocessing. Through practical exercises and examples, you will gain hands-on experience applying machine learning techniques to real-world problems and develop a solid foundation for continuing your studies in Python machine learning and artificial intelligence.
Course Topics
- Supervised Machine Learning:
Classification Algorithms:
Classification Algorithms: Naive Bayes, Decision Tree, Logistic Regression, K-Nearest Neighbors, Support Vector Machine
Regression Algorithms: Linear, Polynomial - Unsupervised Machine Learning: Clustering Algorithms: K-means clustering, Hierarchical Clustering
Dimension Reduction Algorithms: Principal Component Analysis Latent Dirichlet allocation (LDA)
Association Algorithms: Apriori, Euclat
Other machine learning Algorithms: Reinforcement learning Algorithms: Q-Learning - Ensemble Methods Algorithms: Stacking, bagging, boosting.
- Random Forest Random Forest, Gradient Boosting
- Neural Networks and Deep Leaning Algorithms: Convolutional Network (CNN)
- Data Exploration and Preprocessing: The first part of a Machine Learning project understands the data and the problem at hand. Data cleaning, data transformation and data pre-processing are covered using Python functions to make data exploration and preprocessing relatively easy.
- Injecting domain knowledge in the process, attributes are extracted from the data and engineered into Machine Learning algorithms.
What is included with Python Machine Learning
- PCWorkshops Python Machine Learning Course Certificate on completion
- Python Machine Learning Course Notes
- Python Machine Learning Code Examples
- Practical Python Machine Learning exercises and Python Machine Learning Code Samples
- After the course: 1-Hour personalised online revision session
Book the Python Machine Learning Course
About us
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