Develop your skills by working on
Hadoop and Data Science projects
designed by top industry leaders

In this project, we are going to talk about Time Series Forecasting to predict the electricity requirement for a particular house using Prophet.

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.

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.

Data Science Project in Python- Build a machine learning algorithm that automatically suggests the right product prices.

Machine Learning Project in R-Detect fraudulent click traffic for mobile app ads using R data science programming language.

In this project, we are going to work on Deep Learning using H2O to predict Census income.

In this project, we are going to talk about H2O and functionality in terms of building Machine Learning models.

In this deep learning project, we will predict customer churn using Artificial Neural Networks and learn how to model an ANN in R with the keras deep learning package.

In this project, we are going to talk about Time Series Forecasting to predict the electricity requirement for a particular house using Prophet.

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.

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.

Machine Learning Project - Work with KKBOX's Music Recommendation System dataset to build the best music recommendation engine.

Machine Learning Project in R-Detect fraudulent click traffic for mobile app ads using R data science programming language.

In this project, we are going to talk about H2O and functionality in terms of building Machine Learning models.

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.

Machine Learning Project - Work with KKBOX's Music Recommendation System dataset to build the best music recommendation engine.

In this project, we are going to work on Sequence to Sequence Prediction using IMDB Movie Review Dataset​ using Keras in Python.

In this project, we are going to work on Deep Learning using H2O to predict Census income.

In this deep learning project, we will predict customer churn using Artificial Neural Networks and learn how to model an ANN in R with the keras deep learning package.

Deep Learning Project using Keras Deep Learning Library to predict the effect of Genetic Variants to enable personalized Medicine.

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, we will predict customer churn using Artificial Neural Networks and learn how to model an ANN in R with the keras deep learning package.

In this neural network project, we are going to develop an algorithm that will automatically identify the boundaries of the car images which will help to remove the photo studio background.

Deep Learning Project- Learn to apply deep learning paradigm to forecast univariate time series data.

In this project, we are going to work on Sequence to Sequence Prediction using IMDB Movie Review Dataset​ using Keras in Python.

In this data science project, we are going to work on video recognization data and a robust level of image recognization MNIST data.

In this tensorlfow project, our goal is to correctly identify digits from a dataset of tens of thousands of handwritten images.

In this project, we are going to work on Deep Learning using H2O to predict Census income.

In this project, we are going to talk about H2O and functionality in terms of building Machine Learning models.

Deep Learning Project- Learn about implementation of a machine learning algorithm using autoencoders for anomaly detection.

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.

The goal of this IoT project is to build an argument for generalized streaming architecture for reactive data ingestion based on a microservice architecture. 

In this project, we are going to work on Sequence to Sequence Prediction using IMDB Movie Review Dataset​ using Keras in Python.

In this deep learning project, we will predict customer churn using Artificial Neural Networks and learn how to model an ANN in R with the keras deep learning package.

In this deep learning project, you will build a classification system where to precisely identify human fitness activities.

The goal of this NLP project is to predict which of the provided quora question pairs contain two questions with the same meaning.