Radicl Machine Learning
Eligibility
9th Grade onwards
Start Date:
01-08-2022
Duration
2 months
Course Description
Radicl is designed to launch students into the world of Data Science. This course builds a strong data science foundation and utilizes low code frameworks, to allow students to apply their learnings. The learning culminates in a project where the student works on a pre-designed problem and designs an ML solution.
KEY CONCEPTS COVERED
Basics of Data Analysis
- Introduction to Data Analysis
- Anatomy of Data
- Basics of Excel and SQL
Python for Data Science
- Basics of Python Programming
- Conditionals, functions, and Loops
- Data Structures in Python
An Introduction to Machine Learning
- Basics of Machine Learning
- EDA and Feature Engineering
- Measuring Model Performance
Automated Machine Learning
- An introduction to AutoML
- Building Solution using AutoML tools
Natural Language Processing
- Basics of Natural Language Processing (NLP)
- Types of modeling in NLP
- Doing NLP using a no-code framework
INDUSTRY PROJECT
Capstone project under the guidance of data scientists.
COURSE OUTCOMES
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Designed to build a strong data science foundation
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Curated problem sets and quizzes
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Live classes by expert data science instructors
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Capstone project under the guidance of data scientists
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Access to an aspirational Data Science community
N/A
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