Data Science Project in Python- Build a machine learning algorithm that automatically suggests the right product prices.
In this project, we are going to work on Sequence to Sequence Prediction using IMDB Movie Review Dataset using Keras in Python.
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.
In this project, we are going to talk about H2O and functionality in terms of building Machine Learning models.
Data Science Project in R -Build a machine learning algorithm to predict the future sale prices of homes.
Machine Learning Project - Work with KKBOX's Music Recommendation System dataset to build the best music recommendation engine.
There are different time series forecasting methods to forecast stock price, demand etc. In this machine learning project, you will learn to determine which forecasting method to be used when and how to apply with time series forecasting example.
In this data science project, we will predict the credit card fraud in the transactional dataset using some of the predictive models.
In this R data science project, we will explore wine dataset to assess red wine quality. The objective of this data science project is to explore which chemical properties will influence the quality of red wines.
Data Science Project - Build a recommendation engine which will predict the products to be purchased by an Instacart consumer again.