Popular GitHub Repositories for Pandas Dataframe

Evidently is ??an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

DataFrames for Go: For statistics, machine-learning, and data manipulation/exploration

2025-trading-automation-scripts

The "House Price Prediction" project focuses on predicting housing prices using machine learning techniques. By leveraging popular Python libraries such as NumPy, Pandas, Scikit-learn (sklearn), Matplotlib, Seaborn, and XGBoost, this project provides an end-to-end solution for accurate price estimation.

Classification Gender by Machine learning In Python Flask Web App

Welcome to the Machine Learning Projects Repository! This repository hosts a collection of predictive modeling projects, each focusing on different aspects of data analysis and machine learning. These projects cover a wide range of topics, including linear regression, multiple regression

A Reddit Flair Detector using Machine Learning Algorithms

LLMWorkbook is a Python package that integrates Large Language Models (LLMs) with tabular datatypes - workbooks and dataframes for seamless data analysis and automation.

Market basket analysis using Pandas and next order prediction by XGBoost

Use Facebook Prophet model to forecast Sales including seasonality patterns

A time slicer for training and testing temporally correlated Machine Learning models.

AutoML Clustering toolkit

这款CSV数据分析工具功能强大，能轻松分析任何CSV文件并从中提取有价值的信息。它基于LangChain、Python、Pandas库、OpenAI API和Streamlit用户界面，旨在让您轻松探索数据并解答与CSV数据文件相关的问题。

Inpoda est un programme python qui traite et analyse les données d'une base de données stocké au format JSON. L'enjeux principal d'Inpoda est d'extraire les 'Topics' et sentiments des tweets d'une base de données internationale.

Learning to rank is an algorithmic technique employing machine learning models to solve ranking problems

In this project, I embark on the exciting journey of constructing a neural network from scratch, leveraging the poIr of two popular Python libraries, Numpy and Pandas. Our focus is on implementing a neural network for the Lander Game, a task that involves intricate algorithms and data manipulation.

Machine Learning End Semester Project

Text Processing RNN leverages RNN and LSTM models for advanced text processing. It features deep learning techniques for NLP tasks, utilizing GloVe for word embeddings, aimed at both educational and practical applications.

Пример реализации нейронной сети Хопфилда на python3.