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MongoDB, Express.js, React.js, Node.js, Python, JavaScript (ES6+), RESTful APIs, Git.
In this project, your task is to identify major themes/topics across a collection of BBC news articles. You can use clustering algorithms such as LDA, LSA, etc.
The dataset consists of TV shows and movies available on Netflix as of 2019. The dataset is collected from Flixable, which is a third-party Netflix search engine.
Prediction of bankruptcy is a phenomenon of increasing interest of firms who stand to lose money because of unpaid debts.
This challenge asks you to build a classification model to predict the sentiment of COVID-19 tweets.
In this project, we use three different datasets to come up with a book recommendation system for different users based on how they and others have rated previously purchased books.
Rossmann operates over 3,000 drug stores in 7 European countries. Currently, Rossmann store managers are tasked with predicting their daily sales for up to six weeks in advance.
Built a Classification model using Machine learning to predict whether a customer will default on his/her credit card.
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