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.
In this ensemble machine learning project, we will predict what kind of claims an insurance company will get. This is implemented in python using ensemble machine learning algorithms.
Deep Learning Project- Learn to apply deep learning paradigm to forecast univariate time series data.
In this machine learning project, you will uncover the predictive value in an uncertain world by using various artificial intelligence, machine learning, advanced regression and feature transformation techniques.
PySpark Project-Get a handle on using Python with Spark through this hands-on data processing spark python tutorial.
In this deep learning project, you will build a classification system where to precisely identify human fitness activities.
In this data science project, you will predict borrowers chance of defaulting on credit loans by building a credit score prediction model.
Data Science Project in Python- Build a machine learning algorithm that automatically suggests the right product prices.
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.