Data Science Math Skills

Prepare for Data Scientist and Machine Learning Engineer interviews by learning the frequently asked interview questions

Reach unique mathemtical skills as a data analyst or data scientist

Learn Data Science from Scratch: Build, Analyze, and Deploy AI-Powered Solutions

Master Python Programming from Scratch Using Google Colab –Hands-on, Beginner-Friendly, and Practical.

Statistics you need at the Project : Descriptive and Inferential statistics, Hypothesis testing, Regression analysis

A complete hands-on Python, Machine Learning, LLM-powered AI apps featuring 9 real-world projects, Streamlit & Ollama.

Aspiring data science professionals can learn the Scikit-Learn library along with the fundamentals of machine learning with this book. The book combines the Anaconda Python distribution with the popular Scikit-Learn library to demonstrate a wide range of supervised and unsupervised machine learning algorithms. Care is taken to walk you through the principles of machine learning through clear examples written in Python that you can try out and experiment with at home on your own machine.

Aspiring data science professionals can learn the Scikit-Learn library along with the fundamentals of machine learning with this book. The book combines the Anaconda Python distribution with the popular Scikit-Learn library to demonstrate a wide range of supervised and unsupervised machine learning algorithms. Care is taken to walk you through the principles of machine learning through clear examples written in Python that you can try out and experiment with at home on your own machine.

Learn Python for Data Science & Supervised Machine Learning, and build classification models with fun, hands-on projects

Learn Python, Numpy, Pandas, Matplotlib, Linear Regression, Algebra, Statistics, Calculus, Projects & Data Visualisation