Data Science Project in Python- Build a machine learning algorithm that automatically suggests the right product prices.
In this human activity recognition project, we use multiclass classification machine learning techniques to analyse fitness dataset from a smartphone tracker.
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.
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.
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.
This data science in python project predicts if a loan should be given to an applicant or not. We predict if the customer is eligible for loan based on several factors like credit score and past history.
Data Science Project in R -Build a machine learning algorithm to predict the future sale prices of homes.
In this data science project, we will predict the credit card fraud in the transactional dataset using some of the predictive models.
PySpark Project-Get a handle on using Python with Spark through this hands-on data processing spark python tutorial.