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Classifying customers based on their credit scores helps banks and credit card companies immediately to issue loans to customers with good creditworthiness. A person with a good credit score will get loans from any bank and financial institution. There for using Machine Learning Algorithms to predict credit score.
Perform two distinct simple trading strategies with various classification models in Python. Generate 'buy' and 'sell' signals based on feature variables for the MSFT security. Signals are selected as the target/label variable used by classifiers.
The main target of this study was to predict the price of a house using information about several characteristics of it. In addition, a classification problem was also raised: dividing into cheap and expensive houses. Many Machine Learning Models have been used (up to 13).
It gives the information about the top 5 best and worst performing crops and predicts the price of a particular crop over a period of 6 months. It also has a feature in which you provide the report of soil like nitrogen and PH level and it will suggest you a crop to grow in your farm.
Análises de Predições de Vendas e Predições de Subscrições de Serviço. A base Retail foi utilizada nos modelos de regressão para previsão de vendas e a base marketing foi utilizada no modelo de classificação para previsão de subscrições do serviço. No trabalho como um todo foram utilizados os modelos de Regressão Linear e Logística, Árvore de De…
Using R Language to predict whether a user will download an app after clicking a mobile app advertisement. Click on the link below to see more details!