MIT-Machine Learning with Python–From Linear Models to Deep Learning
Data Science Project Refactoring with python
Monte Carlo simulations are an important part of the Data Science toolkit
It is an intiiative undertaken by Student Ambassadors Club, Jamshoro for students who are absolute begineers in programming and want to learn it.
Universal data analysis tools for atmospheric sciences
3D visualization of scientific data in Python
Pandasql allows you to query pandas DataFrames using SQL syntax
MACEst is a confidence estimator that can be used alongside any model (regression or classification) which uses previously seen data (i.e. any supervised learning model) to produce a point prediction.
BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and machine learning workflows even for datasets that do not fit into memory.
Obsidian tools: a Python package for analysing an Obsidian.md vault
A demo of a data science project using Kedro