In this data science project, you will be working on building a machine learning model that can identify nerve structures in a data set of ultrasound images of the neck. This will help enhance catheter placement and contribute to a more pain free future.

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

In this project, we are going to talk about insurance forecast by using regression techniques.

Machine Learning Project in R- Predict the customer churn of telecom sector and find out the key drivers that lead to churn. Learn how the logistic regression model using R can be used to identify the customer churn in telecom dataset.

Learn to classify the sentiment of sentences from the Rotten Tomatoes dataset. You will be asked to label phrases on a scale of five values: negative, somewhat negative, neutral, somewhat positive, positive.

In this machine learning project, we will use hundreds of anonymized features to predict if customers are satisfied or dissatisfied for one of the biggest banks - Santander

In this machine learning project, we will build a predictive model to find out the sales of each product at a particular store.

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

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.

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

In this ensemble machine learning project, we will predict what kind of claims an insurance company will get. This is implemented in python using ensemble machine learning algorithms.

In this machine learning project, you will uncover the predictive value in an uncertain world by using various artificial intelligence, machine learning, advanced regression and feature transformation techniques.

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

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 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 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.

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

The goal of this tensorflow project is to identify hand-written digits using a trained model using the MNIST dataset. The MNIST dataset contains a large number of hand written digits and corresponding label (correct digit)

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

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

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

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

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 deep learning project, we are going to predict which team will win the NCAA basketball tournament of coming 2017 based on past historical data.

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

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.

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

In this machine learning resume parser example we use the popular Spacy NLP python library for OCR and text classification.

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.