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.
In this machine learning project, you will develop a machine learning model to accurately forecast inventory demand based on historical sales data.
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.
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.
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.
Data Science Project in R -Build a machine learning algorithm to predict the future sale prices of homes.
Machine Learning Project in R-Detect fraudulent click traffic for mobile app ads using R data science programming language.
In this deep learning project, you will build a classification system where to precisely identify human fitness activities.
In this project, we are going to work on Sequence to Sequence Prediction using IMDB Movie Review Dataset using Keras in Python.
Data Science Project - Build a recommendation engine which will predict the products to be purchased by an Instacart consumer again.