Buying and selling a car can be an important financial decision, and thus being able to estimate the selling price of a car is very important.
The objective of this project is to create a web application that allows for user input to estimate the selling price of a car given a number of features using a machine learning estimator and real data collected from the web.
After the release of a new game, it is important to know whether it has been accepted by the community and to know if there are some issues that should be adressed.
The objective of this project is to analyze the tweets to estimate the sentiment and evaluate the success of the game.
IMDb (Internet Movie Database) is one of the biggest online databases regarding films, series, video games and others.
The objective of this project is to explore the available datasets to gain insights about IMDb
Preventing customer churn is a very important matter for a company, as understanding why customers are leaving allows to make better decisions. Moreover, acquiring new customers can be more expensive than keeping old ones.
The objective of this project is to understand why customers may want to leave the company and to train a ML model able to predict what customers are likely to churn.
It is important for a business to forecast sales to better anticipate and make better business decisions, but even more important it is to understand what impact sales and which stores are performing better or worse.
The objective of this project is to gain insights from the data and forecast sales.
This project takes a look at how to use modern technologies to deal with image classification. More precisely, we saw how to build a model using CNNs and transfer learning and we were able to build a multi-class model that achieved 85% accuracy on test data.
Photo by Niels Kehl on Unsplash
During disasters, communication is vital, but it is at such times that disaster response organizations are least able to filter and extract the most important messages.
The objective of this project is to classify messages into several categories to indicate to which organizations they should be referred.