Machine Learning with Python
- Offered bySoftLogic Systems
Machine Learning with Python at SoftLogic Systems Overview
Mode of learning | Online |
Official Website | Go to Website |
Credential | Certificate |
Machine Learning with Python at SoftLogic Systems Highlights
- Earn a certificate from SoftLogic Systems
Machine Learning with Python at SoftLogic Systems Course details
- Understanding the Fundamentals of Machine Learning
- Data Preprocessing and Feature Engineering
- Implementing Supervised Learning Algorithms
- Building and Evaluating Unsupervised Learning Models
- Understanding Model Selection and Evaluation Techniques
- This Machine Learning with Python course dives into the basics of machine learning using an approachable, and well-known, programming language
- You’ll learn about Supervised vs Unsupervised Learning, look into how Statistical Modeling relates to Machine Learning, and do a comparison of each
Machine Learning with Python at SoftLogic Systems Curriculum
Module 1 – Supervised vs Unsupervised
Machine Learning vs Statistical Modelling
Supervised vs Unsupervised Learning
Supervised Learning Classification
Unsupervised Learning
Module 2 – Supervised Learning I
K-Nearest Neighbors
Decision Trees
Random Forests
Reliability of Random Forests
Advantages & Disadvantages of Decision Trees
Module 3 – Supervised Learning II
Regression Algorithms
Model Evaluation
Model Evaluation: Overfitting & Underfitting
Understanding Different Evaluation Models
Module 4 – Unsupervised Learning
K-Means Clustering plus Advantages and disadvantages
Hierarchical Clustering plus Advantages & Disadvantages
Measuring the Distances Between Clusters – Single Linkage Clustering
Measuring the Distances Between Clusters – Algorithms for Hierarchy Clustering
Density-Based Clustering
Module 5 – Dimensionality Reduction & Collaborative Filtering
Dimensionality Reduction: Feature Extraction & Selection
Collaborative Filtering & Its Challenges