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predicting-heart-disease-using-machine-learning

Experiments with the Cleveland database have concentrated on simply attempting to distinguish presence (values 1,2,3,4) from absence (value 0). See if you can find any other trends in heart data to predict certain cardiovascular events or find any clear indications of heart health.

predicting-the-closing-stock-price-of-apple-using-lstm

In this project we will be looking at data from the stock market, particularly some technology stocks. We will learn how to use pandas to get stock information, visualize different aspects of it, and finally we will look at a few ways of analyzing the risk of a stock, based on its previous performance history.

predicting-the-likelihood-of-e-signing-a-loan-based-on-financial-history

Develop a model to predict for 'quality' applicants are those who reach a key part of the loan application process.

predicting_loan_defaulters_using_deep_learning

In this case study, we will also develop a basic understanding of risk analytics in banking and financial services and understand how data is used to minimise the risk of losing money while lending to customers.

real-or-not-nlp-with-disaster-tweets

Predict which Tweets are about real disasters and which ones are not

siim-isic-melanoma-classification

Identify melanoma in lesion images Kaggle Competition

telecom_customer_churn_prediction

Predict behavior to retain customers. You can analyze all relevant customer data and develop focused customer retention programs.

time_series_analysis_tutorial

A time series is a series of data points indexed (or listed or graphed) in time order. Most commonly, a time series is a sequence taken at successive equally spaced points in time.

using-gradient-boosting-for-time-series-prediction-tasks

web_page_dashboard

workshop

The Materials Project Workshop Curriculum