Introduction
This repository provides a structured curriculum for learning machine learning over a span of five months. It is designed for individuals who are starting from scratch and aims to guide them to an expert level in the field. The curriculum includes various topics such as data preprocessing, model training, evaluation techniques, and deployment strategies.
Key Features:
- Structured Learning Path: A clear roadmap that outlines what to learn each month.
- Hands-On Projects: Practical projects to apply learned concepts in real-world scenarios.
- Resource Links: Curated resources including books, articles, and online courses to enhance learning.
- Community Support: Access to a community of learners for collaboration and support.
Use Cases:
- Ideal for students and professionals looking to transition into data science and machine learning roles.
- Suitable for self-learners who prefer a guided approach to mastering machine learning concepts.