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 the important basics and installation process of Bokeh

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

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.

A detailed guide to time series forecasting. Learn to use python and supporting frameworks. Learn about the statistical modelling involved.

The data scientist's comprehensive guide to mastering PyCharm

Data cleaning is a very basic building block of data science. Learn the importance of data cleaning and how to use Python and carry out the process.

A brief guide for navigating Google Colab to carry out data science coding and collaborating with other data scientists.

Learn the basic and essential commands for SQL with examples and a workspace notebook to refer to.

This Python Streamlit tutorial is designed for data scientists and machine learning engineers who want to quickly build web apps without extensive web development knowledge.