Deep Learning Project- Learn to apply deep learning paradigm to forecast univariate time series data.
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.
In this machine learning resume parser example we use the popular Spacy NLP python library for OCR and text classification.
In this project, we are going to work on Sequence to Sequence Prediction using IMDB Movie Review Dataset using Keras in Python.
In this project, we are going to talk about Time Series Forecasting to predict the electricity requirement for a particular house using Prophet.
Data Science Project in Python- Build a machine learning algorithm that automatically suggests the right product prices.
In this machine learning project, we will use binary leaf images and extracted features, including shape, margin, and texture to accurately identify plant species using different benchmark classification techniques.
Data Science Project in R -Build a machine learning algorithm to predict the future sale prices of homes.
In this project, we are going to talk about H2O and functionality in terms of building Machine Learning models.
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.