Deep Learning Project- Learn about implementation of a machine learning algorithm using autoencoders for anomaly detection.
In this machine learning project, you will develop a machine learning model to accurately forecast inventory demand based on historical sales data.
In this data science project, you will work with German credit dataset using classification techniques like Decision Tree, Neural Networks etc to classify loan applications using R.
In this deep learning project, you will build a classification system where to precisely identify human fitness activities.
Data Science Project in Python- Build a machine learning algorithm that automatically suggests the right product prices.
Data science project in R to develop automated methods for predicting the cost and severity of insurance claims.
In this machine learning and IoT project, we are going to test out the experimental data using various predictive models and train the models and break the energy usage.
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, 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 data science project, we will predict the credit card fraud in the transactional dataset using some of the predictive models.