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.
Deep Learning Project- Learn to apply deep learning paradigm to forecast univariate time series data.
In this Kmeans clustering machine learning project, you will perform topic modelling in order to group customer reviews based on recurring patterns.
In this project, we are going to work on Deep Learning using H2O to predict Census income.
The goal of this data science project is to build a predictive model and find out the sales of each product at a given Big Mart store.
In this project, we are going to talk about Time Series Forecasting to predict the electricity requirement for a particular house using Prophet.
In this machine learning churn project, we implement a churn prediction model in python using ensemble techniques.
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.
In this NLP AI application, we build the core conversational engine for a chatbot. We use the popular NLTK text classification library to achieve this.
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.