In this data science project with Python, we will complete the analysis of what sorts of people were likely to survive.You will learn to use various machine learning tools to predict which passengers survived the tragedy.

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 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 data science project, you will learn to predict churn on a built-in dataset using Ensemble Methods in 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 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 data science project with Python, we will complete the analysis of what sorts of people were likely to survive.You will learn to use various machine learning tools to predict which passengers survived the tragedy.

In this machine learning project, you will build a model to predict the purchase amount of customer against various products which will help the company create personalized offer for customers against different products.

In this data science project, we will predict the number of inquiries a new listing receives based on the listing's creation date and other features.

In this data science project, you will predict borrowers chance of defaulting on credit loans by building a credit score prediction model.

In this machine learning project, you will develop a machine learning model to accurately forecast inventory demand based on historical sales data.

In this machine learning project, we will predict which coupons a customer will buy.

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

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

In this project, we are going to predict item-level sales data using different forecasting techniques.

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 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.

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

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

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, you will learn how to perform market basket analysis with the application of Apriori and FP growth algorithms based on the concept of association rule learning.