With massive data collection from the Internet of Things transforming life and industry across the globe, businesses today have access to more data than ever before.
Database management is all about tracking and organising, a very important part of running a business. Every organisation can now use databases to go beyond basic data storage and transactions to analyse vast quantities of data from multiple systems.
Together with the usage of business intelligence tools, companies can now leverage the data they collect to run more efficiently, enable better decision-making, and become more agile and scalable.
Oracle, together with Microsoft or IBM…
The incredible amount of data on the Internet is a rich resource for any field of research or personal interest. To effectively harvest that data by using an automated process is known as web scraping.
Say we want to get some content from one or more webpages. Beautiful Soup helps you pull particular content from a webpage, remove the HTML markup, and save the information. It is a tool for web scraping that helps you clean up and parse the documents you have pulled down from the web.
For this project, I won’t be using any .csv or .xlsx data…
Approximately 40 million used vehicles are sold each year. Effective pricing strategies can help any company to efficiently sell its products in a competitive market and making profit.
In the automotive sector, pricing analytics play an essential role for both companies and individuals to assess the market price of a vehicle before putting it on sale or buying it.
There are two main goals I want to achieve with this Data Science Project. First, to estimate the price of used cars by taking into account a set of features, based on historical data. …
An estimated 1.2 million people are killed in road crashes each year, and as many as 50 million are injured.
Road traffic injuries are predictable and preventable, but the study of data is of utmost importance. Understanding the factors around which these tragedies occurs, will give us the insight needed in order to prevent them.
Using the Database of the SDOT Traffic Management Division of Seattle, the main objectives of this project are: to build a Classification model that can predict the probability of one of these type of accidents (property damage or injury) and to get a better understanding…
Self-taught data scientist in the making. Passionate about solving real-life problems and improving community Quality of Life by utilising Data Science and ML.