Machine Learning
- 36 hours Instructor led Online Training
- Soft copy of Study materials
- Course Completion Certificate
- Industry wise – Real life practical examples
Overview
Machine Learning course for aspirants or professionals with prior knowledge and want to earn Machine Learning certification. Our machine learning online course imparts practical hands-on knowledge of Machine Learning and covers most widely used supervised and unsupervised Machine Learning techniques, including social media text analytics and recommendation engine. It will make you an expert in machine learning, a form of artificial intelligence that automates data analysis to enable computers to learn and adapt through experience to do specific tasks without explicit programming.
The program also features seven industry projects, numerous case studies and periodic interaction with industry leaders in the Machine Learning ecosystem, the topics that will be covered include Supervised learning, Unsupervised learning, best practices in machine learning and the program structure will be based around multiple case studies and applications, to help you learn how to apply algorithms to build smart robots, text understanding, medical informatics, database mining and other areas.
Course outline
Introduction to Machine learning
- What is machine learning?
- What are the use case of Machine learning?
- Statistical learning vs. Machine learning
- Iteration and evaluation
- Major Classes of Learning Algorithms -Supervised vs Unsupervised Learning
- Different Phases of Predictive Modelling (Data Pre-processing, Sampling, Model Building, Validation)
- Concept of Overfitting and Under fitting (Bias-Variance Trade off) & Performance Metrics
- Types of Cross validation(Train & Test, Bootstrapping, K-Fold validation etc)
- Introduction to CARET package
- Introduction to H2O package
Supervised Learning
- Linear Regression
- Logistic regression
- Generalization & Non Linearity
- Recursive Partitioning(Decision Trees)
- Ensemble Models(Random Forest, Bagging & Boosting(ada, gbm etc))
- Artificial Neural Networks(ANN)
- Support Vector Machines(SVM)
- K-Nearest neighbours
- Naive Bayes
Social Media and Text analytics
- Social Media – Characteristics of Social Media
- Applications of Social Media Analytics
- Metrics(Measures Actions) in social media analytics
- Examples & Actionable Insights using Social Media Analytics
- Text Analytics – Sentiment Analysis using R
- Text Analytics – Word cloud analysis using R
- Text Analytics – K-Means Clustering
Unsupervised learning
- K-means clustering
- Challenges of unsupervised learning and beyond K-means
Recommendation Engine
- Market Basket Analysis
- Collaborative Filtering
Key Features
- 36 hours Instructor led Online Training
- Soft copy of Study materials
- Course Completion Certificate
- 100% Money Back Guarantee
- Flexibility to choose classes
- Training by Certified World class trainer
- Industry wise – Real life practical examples
- Post training support
- 10% discount on any other Course
Who should attend
- Developers aspiring to be data scientists or machine learning engineers
- Analytics managers who are leading a team of analysts
- Business analysts who want to understand data science techniques
- Information architects who want to gain expertise in machine learning algorithms
- Analytics professionals who want to work in machine learning or artificial intelligence
- Graduates looking to build a career in data science and machine learning
- Experienced professionals who would like to harness machine learning in their fields to get more insights