In this Kmeans clustering machine learning project, you will perform topic modelling in order to group customer reviews based on recurring patterns.
Machine Learning Project - Work with KKBOX's Music Recommendation System dataset to build the best music recommendation engine.
Data Science Project - Build a recommendation engine which will predict the products to be purchased by an Instacart consumer again.
In this data science project, you will learn how to perform market basket analysis with the application of Apriori and FP growth algorithms based on the concept of association rule learning.
Deep Learning Project- Learn to apply deep learning paradigm to forecast univariate time series data.
Data Science Project in Python- Build a machine learning algorithm that automatically suggests the right product prices.
In this machine learning resume parser example we use the popular Spacy NLP python library for OCR and text classification.
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.
Machine Learning Project in R- Predict the customer churn of telecom sector and find out the key drivers that lead to churn. Learn how the logistic regression model using R can be used to identify the customer churn in telecom dataset.
In this data science project in R, we are going to talk about subjective segmentation which is a clustering technique to find out product bundles in sales data.