Algorithm Build for scraping data on Jumia e-commerce website using web scraping in r programing.

When you’re working with data, you need to figure out what you want to do, describe those tasks in the form of a computer program, and run the program.The dplyr package makes these steps quick and easy. Dplyr is a powerful library for manipulating data frames in r programming providing a consistent set of verbs that help you solve the most common data manipulation problems.

he goal of the capstone project was to build a Shiny Application that takes an English sentence as input and predicts the next word. Those kinds are well known e.g. from smartphone keyboards. The whole task was very strongly influenced by the complex and wide field of Natural Language Processing (NLP)

The goal of this project is just to display that you've gotten used to working with the data and that you are on track to create your prediction algorithm.

Course Project: Shiny Application and Reproducible Pitch presentation

Create a web page presentation using R Markdown that features a plot created with Plotly. Host your webpage on either GitHub Pages, RPubs, or NeoCities. Your webpage must contain the date that you created the document, and it must contain a plot created with Plotly. We would love to see you show off your creativity!

Create a web page using R Markdown that features a map created with Leaflet. Host your webpage on either GitHub Pages, RPubs, or NeoCities. Your webpage must contain the date that you created the document, and it must contain a map created with Leaflet. We would love to see you show off your creativity!

Peer-graded Assignment: Statistical Inference Course Project

Peer-graded Assignment: Statistical Inference Course Project

Weather events in the US and their impacts on health and economy

This assignment makes use of data from a personal activity monitoring device. This device collects data at 5 minute intervals through out the day. The data consists of two months of data from an anonymous individual collected during the months of October and November, 2012 and include the number of steps taken in 5 minute intervals each day.