Data Science Tutorials

Find out how to create a histogram chart using the Seaborn library in Python.

Learn how to connect and analyze MongoDB databases in Python.

Explore the architecture of Transformers, the models that have revolutionized data handling through self-attention mechanisms.

Explore the importance of Normalization, a vital step in data preprocessing that ensures uniformity of the numerical magnitudes of features.

Learn how to use Power BI for predictive analytics and create your first model in Power BI.

Dive into the essentials of backpropagation in neural networks with a hands-on guide to training and evaluating a model for an image classification use scenario.

Learn the inner workings of gradient boosting in detail without much mathematical headache and how to tune the hyperparameters of the algorithm.

Learn to master DynamoDB with Node.js in this beginner's guide. Explore table creation, CRUD operations, and scalability in AWS's NoSQL database.

Learn everything about Zephyr-7B, including its training, how to access it, and how to fine-tune it on a custom database using free Kaggle GPUs.

Learn how to easily install and use Stable Diffusion Web UI for generating high-quality images on your laptop.

Learn the basics of bringing your data pipelines to production, with Apache Airflow. Install and configure Airflow, then write your first DAG with this interactive tutorial.

Explore the basics of Shiny for Python so you can start making interactive dashboards and web applications with this new library quickly!