Quality Score
Overall Score : 56 / 100
Course Description
- What is Machine Learning? (Intro - " why its used, Data Science defined)
- Analytics Defined (Predictive, Prescriptive etc.,)
- Data Mining Flow(Phases defined - " with MOdeling phase that involves ML)
- Explanation on Data Set
- Supervised Learning
- Unsupervised Learning
- Classification Algorithms
- Regression Algorithms
- Linear Regression
- Logistic Regression
- Naive Bayes Classifier
- Anonymous Detection
- Decision Trees
- Random Forest
- Neural Networks
- K-Means Clustering
- Apriori algorithm
- Feature Selection
- Support Ventor Machine
- Basic explanation on Use Cases
- Basic Functions defines (Cost function, likelihood function, normalization, trade off etc.,)
- Primary tools/ Softwares used for ML
- Python Packages for Machine Learning
- Anyone who wants to learn about data and analytics
- Data Engineers
- Analysts
- Architects
- Software Engineers
- IT operations
- Technical managers
Instructor Details
- 2.8 Rating
44 Reviews
EDU CBA
EDUCBA is a leading global provider of skill based education addressing the needs of members across 100+ Countries. We are the LARGEST edu-tech firm in Asia with a portfolio of 5498+ online courses, 205+ Learning Paths, 150+ Job Oriented Programs (JOPs) and 50+ Career based Course Bundles prepared by top notch professionals from the Industry. Our training programs are Job oriented skill based programs demanded by the Industry across Finance, Technology, Business, Design, Data and new and upcoming technology.



