Practical Full-Stack Machine Learning

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

Pandas is a high-level data manipulation tool developed by Wes McKinney. It is built on the Numpy package and its key data structure is called the DataFrame. DataFrames allow you to store and manipulate tabular data in rows of observations and columns of variables.

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It is a python script to send automated bulk WhatsApp messages to multiple recipients from an excel sheet at once.

Jupyter Notebooks and Data Sets for Pandas Library

Course materials for: Introduction to Data Science and Programming

Códigos Python com diferentes aplicações como técnicas de machine learning e deep learning, fundamentos de estatística, problemas de regressão de classificação. Os vídeos com as explicações teóricas estão disponíveis no meu canal do YouTube

인프런 - 단 두 장의 문서로 데이터 분석과 시각화 뽀개기

Python Basics, Machine Learning and Deep Learning

Docker image for python datascience container with NumPy, SciPy, Scikit-learn, Matplotlib, nltk, pandas packages installed.

Data Visualization Tutorial | Matplotlib | Seaborn | Pandas

Interfaces Graficas en Python con Tkinter

Repositório com um tutorial simples e claro de Polars, biblioteca de análise de dados no Python, uma alternativa ao Pandas.

Python client for Finnhub API

🐍 Data Analysis with the Pandas Library & Notes 📊📈

Projeto open source para criação de uma ferramenta para automação de análise de ativos da bolsa de valores utilizando algorítmo de machine learning

A modern solution that leverages computer vision technology to automate and streamline the process of recording attendance.

Artificial Intelligence Complete Course