Learn KAGGLE-KERNELS with Real Code Examples

Start with Python/R basics

Load and explore Kaggle datasets

Perform EDA using Pandas/NumPy/Matplotlib

Train simple ML models

Participate in competitions using notebooks

Week 1: Basic Python/R and data manipulation

Week 2: Visualization and EDA

Week 3: Supervised learning models

Week 4: Unsupervised learning and deep learning

Week 5: Share and analyze notebooks for improvement

What are Kaggle Kernels and their purpose?

How do you access datasets in Kaggle Kernels?

Can you run ML models with GPU in Kaggle Kernels?

How can notebooks be shared or downloaded?

What are limitations for using Kaggle Kernels in production?

Cell - unit of code execution

Run - execute the current cell or all cells

Dataset - use Kaggle-hosted datasets directly

Markdown - document your workflow

Kernel settings - select Python/R, CPU/GPU/TPU

Mastering Kaggle Notebooks for Data Science

Python for Data Science with Kaggle Kernels

Machine Learning Experiments in Kaggle

Hands-On Kaggle Notebooks for Beginners

Advanced Data Analysis with Kaggle Notebooks

Getting Started with Kaggle Kernels

Exploratory Data Analysis in Kaggle Notebooks

Machine Learning with Kaggle Notebooks

Using GPU/TPU in Kaggle Notebooks

Sharing and Versioning Kaggle Notebooks

https://www.kaggle.com/docs/kernels

https://www.kaggle.com/docs/notebooks

Kaggle Forums and Discussions

Stack Overflow Kaggle tag

Kaggle Learn courses

Kaggle notebook examples

Data science community blogs

Kaggle Forums and Discussions

Kaggle Learn tutorials

Stack Overflow Kaggle-related questions

Kaggle Notebook examples

Data science and ML community blogs