A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab

A jupyter notebook having all most frequent used code snippet for daily data scienceoperations

A Jupyter notebook where I play with my Goodreads data

Curated Python Notebooks for Amazing Data Visualization

En este repositorio vas a encontrar análisis realizados en Jupyter Notebook utilizando una variedad de poderosas bibliotecas de Python, entre las cuales se incluyen pandas, numpy, matplotlib, seaborn

📈 📊 Data visualisation notebooks and materials of Institute of Coding - Northumbria University

This is an example of how to use Python and Jupyter Notebook to explore a given dataset.

All Jupyter and Colab Notebooks are here

A Docker DevBox for Jupyter Notebook's with a focus on Computer Vision, Machine Learning, Finance, Statistics and Visualization.

One notebook to learn it all - Algorithms from scratch

Collection of notebooks describing common use cases of some important Python libraries for Data Science and Machine learning

Beginner's guide to Machine Learning. Notebooks, blogs, resources and tracks to help anyone get started.

This repository contains the collection of Python and Javascript (Observable Notebook) projects made for the DTU Data Science course 02806: Social Data Analysis and Visualizations

O objetivo desse projeto foi desenvolver uma breve análise estatística descritiva sobre os 36 funcionários cadastrados na seção de orçamentos da Companhia Milsa.

Learn Python for data analysis from zero with this tutorial based on Jupyter notebooks.

Analyse Los Angeles Crime rate between 2012 - 2016 using python pandas, numpy and matplot libraries

Data-science tutorials covering Python, Object-Orientated Programming Python standard libraries such as collections, itertools, math, statistics, random and datetime. The tutorials also cover the data-science libraries such as numpy, pandas, matplotlib and seaborn as well as the conda ecosystem.

With the rise of deep learning models and the successful result showing in different domains (such as Computer vision and Natural language processing)researchers and laboratories of chem-informatics try to apply these techniques in drug design and discovery. recently,the application of Deep Learning in this area of research has made a good progr…

Jupyter notebooks for the Fundamentals of Machine Learning course that is held at FEI, VSB-TU Ostrava