In this machine learning project, you will develop a machine learning model to accurately forecast inventory demand based on historical sales data.
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.
Data Science Project in Python- Given his or her job role, predict employee access needs using amazon employee database.
Music Recommendation Project using Machine Learning - Use the KKBox dataset to predict the chances of a user listening to a song again after their very first noticeable listening event.
In this machine learning churn project, we implement a churn prediction model in python using ensemble techniques.
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 resume parser example we use the popular Spacy NLP python library for OCR and text classification.
In this project you will use Python to implement various machine learning methods( RNN, LSTM, GRU) for fake news classification.
In this loan prediction project you will build predictive models in Python using H2O.ai to predict if an applicant is able to repay the loan or not.
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.