Udacity Deep Learning Foundation Nanodegree: Project 1

Udacity MLND P1: Predicting Boston Housing prices

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

Repository containing projects from course work

Data Analysis Using Pandas

Optimization tool for bundling real-time app notifications

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/

A Machine Learning Web Application (Built with Flask) for classifying Emails and SMS into Spam and Ham.

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

NanoDegree Data analysis Project.The data comes from the FBI's National Instant Criminal Background Check System. The NICS is used by to determine whether a prospective buyer is eligible to buy firearms or explosives. Gun shops call into this system to ensure that each customer does not have a criminal record or isn’t otherwise ineligible to mak…

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.

White and Red Wine classification using logistic regression

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

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.

This contains packages like numpy, pandas, matplotlib used in creating analysis based on the posed questions you'll see on the introduction section in the .ipynb file.

Udacity Data Analyst Nanodegree Project II