AlekhyaBhupati/Transfer-Learning-for-Detection-of-Diabetic-Retinopathy-Disease

Demand-Forecasting-Models-for-Supply-Chain-Using-Statistical-and-Machine-Learning-Algorithms

Internship project

Object_Detection_Using_openCV

Object detection mainly detects the person, animal and things like cars, cup, mobile couch etc. In this project we developed object detection using OpenCV in Pycharm instance.

Advanced-Data-Mining-BikeSharingSystem-Analysis

Developed a predicting model for automatic bike sharing system using different machine learning and deep learning techniques like XGBoost, SVM, Decision Tree, Random Forest, and CNN and compared the accuracy of different algorithms. And applied grid search and random search to improve the accuracy, score, and reduced the random mean square error.

Test

Twitter is the best source for real-time data, it will provide a large amount of data that is publicly available Twitter API. We have used Kafka streaming to fetch data from Twitter API to Spark and PySpark to perform analytics and transfer data from SparkStreaming to the Hive database. And visualize the analysis of data using Tableau.

Real-Time-Data-Analysis-of-Twitter-API-Using-Apache-Spark-Streaming

Twitter is the best source for real-time data, it will provide a large amount of data that is publicly available Twitter API. We have used Kafka streaming to fetch data from Twitter API to Spark and PySpark to perform analytics and transfer data from SparkStreaming to the Hive database. And visualize the analysis of data using Tableau.