Handledningar i data science

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.