In this machine learning resume parser example we use the popular Spacy NLP python library for OCR and text classification.
In this machine learning project you will work on creating a robust prediction model of Rossmann's daily sales using store, promotion, and competitor data.
Text data requires special preparation before you can start using it for any machine learning project.In this ML project, you will learn about applying Machine Learning models to create classifiers and learn how to make sense of textual data.
In this supervised learning machine learning project, you will predict the availability of a driver in a specific area by using multi step time series analysis.
Music Recommendation Project using Machine Learning - Use the KKBox dataset to predict the chances of a user listening to a song again after their very first noticeable listening event.
In this machine learning pricing project, we implement a retail price optimization algorithm using regression trees. This is one of the first steps to building a dynamic pricing model.
Deep Learning Project- Learn to apply deep learning paradigm to forecast univariate time series data.
Data Science Project in R -Build a machine learning algorithm to predict the future sale prices of homes.
In this loan prediction project you will build predictive models in Python using H2O.ai to predict if an applicant is able to repay the loan or not.
Data Science Project in Python- Given his or her job role, predict employee access needs using amazon employee database.