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.
Data Science Project - Build a recommendation engine which will predict the products to be purchased by an Instacart consumer again.
Deep Learning Project- Learn to apply deep learning paradigm to forecast univariate time series data.
PySpark Project-Get a handle on using Python with Spark through this hands-on data processing spark python tutorial.
Data science project in R to develop automated methods for predicting the cost and severity of insurance claims.
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 machine learning and IoT project, we are going to test out the experimental data using various predictive models and train the models and break the energy usage.
Data Science Project in Python- Given his or her job role, predict employee access needs using amazon employee database.
This project analyzes a dataset containing ecommerce product reviews. The goal is to use machine learning models to perform sentiment analysis on product reviews and rank them based on relevance. Reviews play a key role in product recommendation systems.
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.