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1. Sign-Language-Interpreter-using-Deep-Learning Sign-Language-Interpreter-using-Deep-Learning Public

   DEEP LEARNING : A sign language interpreter using live video feed from the camera to help 70 million people suffering from hearing disability by converting sign language into words .

   Python 3 2

2. Identify-Diabetic-Patient-Readmission Identify-Diabetic-Patient-Readmission Public

   MACHINE LEARNING : Classified the hospital re-admission probability of a DIABETIC patient by using appropriate Data Science techniques such as Feature Engineering and Model Deployment

   Jupyter Notebook 1

3. Air-Passengers-Time-Series-Analysis Air-Passengers-Time-Series-Analysis Public

   TIME SERIES ANALYSIS : Forecasted number of passengers for next 10 years of airlines using ARIMA model in python

   Jupyter Notebook 7 19

4. UNICEF-Mortality-rate-analysis UNICEF-Mortality-rate-analysis Public

   DATA ANALYSIS : Found Factors Causing Under 5 Mortality, Trend Analysis and Recommendations for Reducing Under-5 Mortality Rate at Country level

   Jupyter Notebook

5. Audit-Risk-Prediction-for-a-Financial-Firm Audit-Risk-Prediction-for-a-Financial-Firm Public

   MACHINE LEARNING : Audit risk analysis using multiple firms' historical data using Regression algorithms like KNN, Kernelized SVM, Decision Tree, Random Forest etc.

   Jupyter Notebook 15 4

6. Sports-expert-system-using-AI Sports-expert-system-using-AI Public

   ARTIFICIAL INTELLIGENCE : Built sports expert system using AI CLIPS language to recommend sports by answering questions

   CLIPS