Beginner Machine Learning
- 4 Courses | 1h 25m
- 12 Labs | 12h
Track 1: Introduction to Machine Learning
In this track of the Machine Learning Aspire Journey, the focus will be on understanding the concepts of machine learning, feature engineering and data transformations prior to implementing machine learning models.
- 2 Courses | 20m
- 1 Lab | 1h
Track 2: Supervised Learning I : Linear and Logistic Regression
In this track of the Machine Learning Aspire Journey, the focus will be on understanding, implementing and evaluating foundational supervised learning models such as linear and logistic regression.
- 4 Labs | 4h
Track 3: Supervised Learning II: Naive Bayes, SVM, KNN and Decision Trees
In this track of the Machine Learning Aspire Journey, the focus will be on popular supervised algorithms such as the Naive Bayes Classifier, Support Vector Machines, K-Nearest Neighbors and Decision Trees.
- 4 Labs | 4h
Track 4: Recommender Systems
In this track of the Machine Learning Aspire Journey, the focus will be on understanding how recommender systems work and how to build and evalute them.
- 2 Courses | 1h 5m
- 1 Lab | 1h
Track 5: Unsupervised Learning; K Means Clustering and PCA
In this track of the Machine Learning Aspire Journey, the focus will be on mastering unsupervised learning algorithms such as Principal Component Analysis and K Means Clustering.
- 2 Labs | 2h
EARN A DIGITAL BADGE WHEN YOU COMPLETE THESE TRACKS
Skillsoft is providing you the opportunity to earn a digital badge upon successful completion on some of our courses, which can be shared on any social network or business platform.
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