Titanic Survival Exploration with NumPy, Pandas and Scikit-Learn

Udacity Deep Learning Foundation Nanodegree: Project 1

doing exploratory data analysis of products in Japanese e-commerce platform Mercari

Repository containing projects from course work

IPA 주관 인공지능센터 기본(fundamental) 과정: 파이썬(Python)

Este repositório contém os arquivos para a realização de análise das reclamações feitas no site reclame aqui no mês de agosto de 2019. A anilise foi inspirada em outra encontrada aqui: https://minerandodados.com.br/analise-exploratoria-de-dados-passo-a-passo-com-python/

This is an Polynomial Regression Model with Statistical Degree and Minimum Cost Analysis

Task 1: Prediction using Supervised ML

This the projects repository for Data Analysis Advanced Track Nanodegree which is a three month scholarship provided by the Information Technology Industry Development Agency (ITIDA) in cooperation with Udacity platform to upskill Egyptian youth skills in the Data Analysis field and prepare them for future freelancing opportunities.

This project is built using a RandomForestRegressor model. The application takes in input from the user and predicts the real estate pricing for a district in california.

Artificial Intelligence Course - Computer Assignment 0 - Introduction to pandas, numpy and classification - University of Tehran - Spring 1401

Pump it Up, Data Mining the Tanzania Water Table

Projet de visualisation des données sur la pollution aux abords des crèches d'Île-de-France en Python en L3 à l'université Sorbonne Paris Nord

This project is conducted as a part of Udacity Data Analyst Nanodegree. The purpose of this project is to perform exploratory data analysis, then create a presentation with explanatory charts that conveys findings and insights from the data set provided.

Create a machine learning model to determine the likelihood of a customer defaulting on a loan based on credit history, payment behavior, and account details.

This project aims to communicate findings revealed from the Prosper Loan Dataset using exploratory and explanatory data analysis.

BookVista is a book recommendation system. It leverages both popularity-based and collaborative filtering techniques to provide personalized book suggestions tailored to each user's unique preferences and reading habits.

Apply statistics inference and using pandas and numpy to carry data cleaning and modeling.

Guided machine learning project for online course