Data Science Project in R -Build a machine learning algorithm to predict the future sale prices of homes.
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 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.
In this machine learning project, you will develop a machine learning model to accurately forecast inventory demand based on historical sales data.
In this project, we are going to work on Sequence to Sequence Prediction using IMDB Movie Review Dataset using Keras in Python.
PySpark Project-Get a handle on using Python with Spark through this hands-on data processing spark python tutorial.
In this Kmeans clustering machine learning project, you will perform topic modelling in order to group customer reviews based on recurring patterns.
Data Science Project in Python- Build a machine learning algorithm that automatically suggests the right product prices.
In this data science project, you will predict borrowers chance of defaulting on credit loans by building a credit score prediction model.
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.