If you’re a programmer looking to switch into an exciting new career track, this course will teach you the basic techniques used by real-world industry Machine Learning developers. If you've done some programming before, you should pick it up quickly. If you're new to this technology, don't worry - the course covers the topics from the basics. Text Extraction and Preprocessing: Named Entity Recognition Text Extraction and Preprocessing: POS Tagging Text Extraction and Preprocessing: Lemmatization Text Extraction and Preprocessing: Stemming Text Extraction and Preprocessing: Stop Word Removal Text Extraction and Preprocessing: N-grams Text Extraction and Preprocessing: Tokenization Support Vector Machines : Classification MarginĮxample and Applications of Unsupervised LearningĪssociation Rule Mining: Market Basket AnalysisĪssociation Rule Generation: Apriori Algorithm Support Vector Machines : Linear Separability Random Forest Classifier- Bagging and Bootstrappingĭecision Tree and Random Forest Classifier Relationship between Artificial Intelligence, Machine Learning, and Data Scienceĭefinition and Features of Machine Learning The course contains content based videos along with practical demonstrations, that performs and explains each step required to complete the task.īy the end of the course, you will be able to learn about: The course covers the basics as well as the advanced level concepts. The “Machine Learning” course is an intermediate level course, curated exclusively for both beginners and professionals.
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