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 loan prediction project you will build predictive models in Python using H2O.ai to predict if an applicant is able to repay the loan or not.
In this machine learning project you will work on creating a robust prediction model of Rossmann's daily sales using store, promotion, and competitor data.
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 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.
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 project you will use Python to implement various machine learning methods( RNN, LSTM, GRU) for fake news classification.
Deep Learning Project- Learn to apply deep learning paradigm to forecast univariate time series data.
In this supervised learning machine learning project, you will predict the availability of a driver in a specific area by using multi step time series analysis.
Use the Adult Income dataset to predict whether income exceeds 50K yr based on