The project utilizes the Online Retail Dataset, a transnational dataset capturing transactions from 01/12/2010 to 09/12/2011 for a UK-based non-store online retail company specializing in unique all-occasion gifts. The dataset includes transactions from both retail and wholesale customers.

In this project, we aim to predict whether a particular customer will switch to another telecom provider or not, a process referred to as churning and not churning in telecom terminology.

This project involves a case study of a real estate company with a dataset containing property prices in the Delhi region. The goal is to optimize the sale prices of properties based on important factors such as area, bedrooms, parking, etc.

This repository contains files related to the analysis and modeling of the relationship between TV advertising and sales using a simple linear regression model. The analysis utilizes the advertising dataset to build a linear regression model aimed at predicting Sales based on an appropriate predictor variable.

Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b

A light-weight, flexible, and expressive statistical data testing library

Sensor data visualization tool.

Data [ Exploration, Cleaning, Manipulation, Visualisation ]

Build a Web App called AI-Powered Heart Disease Risk Assessment App

This repository helps you understand python from the scratch.

Translate your CSV files effortlessly across multiple languages and save your time and effort.

A native Rust library for Delta Lake, with bindings into Python

This project is a Streamlit web application for scraping Twitter data using snscrape, allowing users to search by keywords or hashtags within a specified date range. It enables downloading the scraped tweets in CSV or JSON formats and facilitates uploading the data to a MongoDB database for storage and further analysis.

Access the parent Pandas data frame in loc[], iloc[], assign(), and others Pandas helpers

WhatsApp chats as dataframes. Python toolkit to analyse and parse WhatsApp chats.

Make awesome display tables using Python.

Um repositório em Python para armazenar códigos de exercícios da disciplina Análise de Dados e Big Data. Também, está presente o trabalho da disciplina, feito com o Jupyter Notebook.

Machine Learning End Semester Project

ProphitBet is a Machine Learning Soccer Bet prediction application. It analyzes the form of teams, computes match statistics and predicts the outcomes of a match using Advanced Machine Learning (ML) methods. The supported algorithms in this application are Neural Networks, Random Forests & Ensembl Models.

pandas is a powerful Python library for data analysis and manipulation. It’s like a Swiss Army knife for handling structured data!