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Performance of Alcoholic Students in Academics

Download Dataset Sample Dataset : Click Here      Original Dataset : Click Here Click Here for the Dataset Explanation Experiment-1 : Perform J48 Classification for both Datasets through Weka.  Obtain the Decision Tree and Classification Accruacies and confusion matrix. Experiment-2 : Perform Manual J48 Classification for Sample Dataset.  Compare and Correllate with Weka Results.

Sample Dataset

Construct Decision tree for the following dataset using Entropy Information Gain Technique.

Sentiment Analysis of the Voters of United States

Voters Dataset This data set includes votes for each of the U.S. House of Exercise 1. Run Apriori on this data with default settings. List out all association rule patterns. Exercise 2. Run Apriori on this data with default settings. Comment on the rules that are generated. Several of them are quite similar. How are their support and confidence values related? Exercise 3. It is interesting to see that none of the rules in the default output involve Class = republican. Why do you think that is?

Road Accident Data for Data Analytics

Click Here to download Road Accident Data Information on accidents across Leeds. Data includes location, number of people and vehicles involved, road surface, weather conditions and severity of any casualties. Source : https://datamillnorth.org/dataset/6efe5505-941f-45bf-b576-4c1e09b579a1

Hackathon Guidelines:

Team size should not exceed 4 Members. (Preferable each team should consist one Girl Student) Deadline for submission is upto 06-01-2020 11.59 PM. Prepare PPT and finalization is on 07-01-2020 in A007/2 Lab of IT Department during 10AM to 4PM. Any information will be updated though whatsapp.

List of Healthcare titles for Hackathon - For your reference

Drug Discovery Using Neural Networks Tumour Detection from Brain MRI Images Detection and Classification of cancer cells in MRI Images Detection and Classification of cancer cells in MRI Images Cancer Cell Detection and Segmentation Blood Flow Detection and Monitoring Using Sensory Data Diabetic Retinopathy Detection Personalized treatment recommender system AI System for Prediction and Recommendation of Diabetes Recommendation of Doctors and Medicines Using Review Mining Disease Prediction Using Patient Treatment History and Health Data Real-Time Health Monitoring Using Wearable Devices Prediction of Epidemic Outbreaks Using Social Media Data Design and Implementation of prediction for Medical Insurance Activity Monitoring and Unusual Activity Detection for Elderly Homes Recognizing Exercises from Physiotherapy Videos Detecting Genes Responsible for Cancer Development DNA/Gene classification using RNN Sequential analysis Chest X-Ray Classification and Localizatio...