Developing delivery time estimation model using Neural Networks
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Updated
May 29, 2024 - Jupyter Notebook
Developing delivery time estimation model using Neural Networks
This repo contains projects, tasks and other code which I have developed on a Data Scientist course at SkillFactory.
The open-source tool for building high-quality datasets and computer vision models
An ML-based project designed to accurately classify email messages as either spam or ham (non-spam)
In this repository, you'll find a curated collection of my data analysis projects, each offering a glimpse into my analytical prowess and problem-solving abilities.
Predicting University Admission Chances, where we explore the likelihood of admission for prospective students based on various factors. Leveraging machine learning, we have employed two powerful algorithms, Decision Tree and Random Forest, to predict the chances of admission.
This repository contains a collection of Data Science projects showcasing various aspects of data analysis and manipulation
Prepping tables for machine learning
Ecommerce Sales Data Analysis In POWER-BI .
Data was downloaded through Kaggle
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
This data project analyses a UK-based retailer's customers based on their Recency, Frequency and Monetary values and accordingly assists with customer re-segmentation work.
This data analysis work examines and visualises annual sales performance of a global supplier procuring office and stationary products.
Vrinda Store Data Analysis using MS-Excel
Python package to make URL extraction, generalization, validation, and filtration easy.
A collection of Jupyter notebooks for AI and ML tasks. Explore, learn, and contribute to advance your skills in artificial intelligence and machine learning. #Hacktoberfest friendly!
Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.
Repositorio del proyecto de predicción del problema Telco Customer Churn (kaggle)
pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation
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