title | layout | permalink |
---|---|---|
Resources |
default |
/resources |
Explore our curated list of resources to help you learn and grow in various domains.
Kickstart your journey into Machine Learning with Python! In Week 0, we covered:
- Python Basics
- Key ML Libraries: NumPy, Pandas, and Matplotlib
- Linear Regression
- Logistic Regression
🎯 Task 0: Apply ML concepts and perform Exploratory Data Analysis on real-life datasets.
View detailed resources and tasks on Notion
Explore the fundamentals of Neural Networks and dive into popular ML frameworks! In Week 1, we covered:
- Neural Network (NN) Basics
- Frameworks: PyTorch and TensorFlow
- Back Propagation
🎯 Task 1: Build your own NN from scratch using your knowledge of math and coding.
View detailed resources and tasks on Notion
Master the foundational ML frameworks! In Week 2, we covered:
- PyTorch and TensorFlow frameworks and their applications
🎯 Task: Build your own NN using either PyTorch or TensorFlow.
View detailed resources and tasks on Notion
Choose a domain to focus on for the next two weeks! The options include:
- Natural Language Processing (NLP): Explore text and language data.
- Computer Vision (CV): Understand how machines interpret visual inputs.
- Data Science (DS): Extract insights and knowledge from data.
- Reinforcement Learning (RL): Train agents to make optimal decisions.
All domain-specific resources and guidance are provided on Notion.
View the domain selection guide on Notion
Continue exploring and refining your project in the domain selected during Week 3. Use this week to consolidate your knowledge and complete your project.
All domain-specific resources and guidance are provided on Notion.
View the final week guide on Notion
Let's embark on this focused learning journey together!
Happy learning!