Scikit Learn is the de facto Machine Learning package for Python. It consists of classification, regression, clustering, dimension reduction, model selection, and many data preprocessing functionalities. You can do many supervised and unsupervised machine learning with Scikit Learn.
This Machine Learning with Scikit-Learn training course aims to equip you with fundamental machine learning knowledge using such as classification algorithms and classification metrics, ensemble methods, regression and regularization, K-Means and Hierarchical Clustering and, feature reduction with PCA.
In Scikit Learn - Advanced training course, you will learn many useful utility functions such as model selection, hyper parameter tuning, feature extraction, data preprocessing, etc.
By attending Machine Learning with Scikit Learn workshop, delegates will learn:
- Supervised Learning vs Unsupervised Learning
- Analysing Classification Models with F1 Score and AUC
- Multivariate Linear regression
- Ridge and Lasso Regularization to reduce overfitting
- Silhouette Analysis and Dendrogram for Clustering
- Dimension Reduction with PCA
By attending Scikit Learn - Advanced workshop, delegates will learn:
- Feature Extraction
- Pipelines
- Discussing Ensemble Methods in Detail
- Hyper Parameter Tunning
- Model Metrics
For Machine Learning with Scikit Learn
- Knowledge of Basic Python
For Scikit Learn - Advanced Knowledge of:
- Basic Python
- Basic Scikit-Learn
- Basic Machine Learning
- Data Analysts
- Data Scientists
- Financial Analytics
- Engineers
- Digital Marketers