Data Science Tutorials

Learn what the normal equation is and how can you use it to build machine learning models.

Learn easy and effective ways to run SQL queries in Python and R for data analysis and database management.

Learn basic visualizations of various data structures using Bokeh.

Learn about the lasso and ridge techniques of regression. Compare and analyse the methods in detail.

Learn the important basics and installation process of Bokeh

Learn how gradient descent optimizes models for machine learning. Discover its applications in linear regression, logistic regression, neural networks, and the key types including batch, stochastic, and mini-batch gradient descent.

Learn about the most popular deep learning model RNN and get hands-on experience by building a MasterCard stock price predictor.

Learn basic MLOps and end-to-end development and deployment of ML pipelines.

Learn about how learning curves can help you evaluate your data and identify optimal solutions.

Prepare for your first Kaggle Competition with this step-by-step tutorial.

Learn about Hadoop ecosystem, the architectures and how to start with Cloudera.

Learn about Kaggle datasets and notebooks and get a head start on creating your Kaggle profile.