The course will familiarize the learners with all essential skill sets required to be a good data scientist and machine learning engineer with real-world practical case studies regardless of their educational and professional background. The course is designed with independent modules starting from basic Python, Exploratory Data Analysis, Data Visualization, Machine Learning, Deep Learning, Computer Visions, and Natural Language Processing.
- The objective is to provide a foundational course to get started with Data Science and Machine Learning Engineering with real world projects and hands-on experiences. The essential skills are almost from all domains of data sciences including Machine Learning, Natural Language Processing and Computer Vision.
- After completing this course learners will be able to: Learn and apply Machine learning techniques with real-world applications, Learn and apply Natural Language processing techniques with real-world applications. Learn and apply Computer Vision techniques with real-world applications, Developing a web application with Streamlit, Working with GitHub to maintain Data Science Portfolio.
- Slack, Kaggle, Github, Python Libraries
- 37 Hours
- 37 Hours
Essential Data Science Building Blocks Course
Be A Member of Our OMDENA Local Chapter
Objective
What you will learn
PLATFORM & TOOLS
Duration
Duration
Website Link
UPCOMING AI CHALLENGES
