In this project, we create a model to do the accurate prediction of heart disease problems in health care applications. Easier to analyse the scalable of health care big data. Less time consumption with the efficiency of data in heart disease. High performance in data maintained of heart disease prediction.
Platform? ? ? ? ?: Python
Delivery? ? ? ? ? :? One Day
Support? ? ? ? ? : Online Live Session
Deliverables? : Project Files, Report and Presentation
The main objective of this project is to predict the employee attrition rate using Machine Learning Algorithms such as SVM and Naive Bayes algorithms. After the results obtained, the performance of the model is evaluated by calculating the accuracy score and showing it in the form of a confusion matrix.
Platform? ? ? ? ?: Python
Delivery? ? ? ? ? :? One Day
Support? ? ? ? ? : Online Live Session
Deliverables? : Project Files, Report and Presentation
Churn Modelling Analysis using Deep Learning | Machine Learning Projects
Churn Analysis is one of the worldwide used analyses on Subscription Oriented Industries to analyse customer behaviours to predict the customers which are about to leave the service agreement from a company. The proposed model ?rst classi?es churn customers data using classi?cation algorithms, in which the Random Forest (RF) and Decision tree (DT) algorithm performed well with 90.44% correctly classi?ed instances.
Platform? ? ? ? ?: Python
Delivery? ? ? ? ? :? One Day
Support? ? ? ? ? : Online Live Session
Deliverables? : Project Files, Report and Presentation
The idea of visualizing data by applying machine learning and pandas in python. Taking dataset from a medical background of different people (prime Indians dataset from UCI repository). This data set consists of information on the user’s age, sex type of symptoms related to diabetes. Design a testing and training set and predict are chances of patients having diabetes in the coming five years. Data is classified and shown in the form of different graphs.
Platform? ? ? ? ?: Python
Delivery? ? ? ? ? :? One Day
Support? ? ? ? ? : Online Live Session
Deliverables? : Project Files, Report and Presentation
