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.
In this project, we are going to talk about Time Series Forecasting to predict the electricity requirement for a particular house using Prophet.
In this NLP AI application, we build the core conversational engine for a chatbot. We use the popular NLTK text classification library to achieve this.
Data Science Project in R -Build a machine learning algorithm to predict the future sale prices of homes.
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 talk about H2O and functionality in terms of building Machine Learning models.
Deep Learning Project- Learn to apply deep learning paradigm to forecast univariate time series data.
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.
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.