Pinned Repositories
autocomplete
Trying to setup an web autocomplete tokenizer. UI: javascript, backend: django rest framework
Car-Price-Prediction-System
Technologies: Nutch 1.6, MapReduce in Java, Mahout. For selling a used car, its price can be predicted by giving some attributes. e.g. Car Model, total miles, engine type. Trained data will be provided to our system to predict the price for new data. Used Nutch to crawl car data from 52 states which is on craigslist.org. Over 0.3 million records were fetched. The content was then pruned using two MapReduce Jobs. The first MapReduce cleaned the data removing unwanted unicode symbols and incomplete data (information without car model or total miles or engine or price). The Second MapReduce extracted the required attributes and emitted in tsv format. This tsv was then provided to a Naïve Based Classifier in Mahout. A classification model was built from the training data. This models predicts the price when attributes like car model model, miles, engine was provided.
CPU-emulator
works with unix
example-spark-kafka
Apache Spark and Apache Kafka integration example
java-programs
Customers & post workers are threads. Only 10 customers are allowed in the store. Customer choose random tasks (buy stamps, mail letter, mail package). Predefined time for each task. Post worker serves next customer. Time served depends on the task. Only 1 weighing scale is available. Co-ordination is strictly by semaphores. Activities of 55 threads is demonstrated.
java-sockets-chat-system
Java Sockets Chat System via a Server
jquery-calculator
Keyboard listener jquery + javascript calculator. Still developing. But most of the features are developed
kafka-spark-consumer
High Performance Kafka Consumer for Spark Streaming. Now Support Spark 1.6 and Kafka 0.9
moonwalk
Michael Jackson MoonWalk in C++ using OpenGL
University-Database
3 Users. Admin, Professors, Student. Each having their own page. Admin can add new students, employees, courses, register/drop student for course, view student/employee info. Professors can add/update assignments, midterms, quizzes and give grade to students for them. Students can search for courses giving one or more parameters, view their transcripts.
aniketvjadhav's Repositories
aniketvjadhav/Car-Price-Prediction-System
Technologies: Nutch 1.6, MapReduce in Java, Mahout. For selling a used car, its price can be predicted by giving some attributes. e.g. Car Model, total miles, engine type. Trained data will be provided to our system to predict the price for new data. Used Nutch to crawl car data from 52 states which is on craigslist.org. Over 0.3 million records were fetched. The content was then pruned using two MapReduce Jobs. The first MapReduce cleaned the data removing unwanted unicode symbols and incomplete data (information without car model or total miles or engine or price). The Second MapReduce extracted the required attributes and emitted in tsv format. This tsv was then provided to a Naïve Based Classifier in Mahout. A classification model was built from the training data. This models predicts the price when attributes like car model model, miles, engine was provided.
aniketvjadhav/University-Database
3 Users. Admin, Professors, Student. Each having their own page. Admin can add new students, employees, courses, register/drop student for course, view student/employee info. Professors can add/update assignments, midterms, quizzes and give grade to students for them. Students can search for courses giving one or more parameters, view their transcripts.
aniketvjadhav/moonwalk
Michael Jackson MoonWalk in C++ using OpenGL
aniketvjadhav/autocomplete
Trying to setup an web autocomplete tokenizer. UI: javascript, backend: django rest framework
aniketvjadhav/CPU-emulator
works with unix
aniketvjadhav/example-spark-kafka
Apache Spark and Apache Kafka integration example
aniketvjadhav/java-programs
Customers & post workers are threads. Only 10 customers are allowed in the store. Customer choose random tasks (buy stamps, mail letter, mail package). Predefined time for each task. Post worker serves next customer. Time served depends on the task. Only 1 weighing scale is available. Co-ordination is strictly by semaphores. Activities of 55 threads is demonstrated.
aniketvjadhav/java-sockets-chat-system
Java Sockets Chat System via a Server
aniketvjadhav/jquery-calculator
Keyboard listener jquery + javascript calculator. Still developing. But most of the features are developed
aniketvjadhav/kafka-spark-consumer
High Performance Kafka Consumer for Spark Streaming. Now Support Spark 1.6 and Kafka 0.9
aniketvjadhav/mybash
aniketvjadhav/Simple_Spark-Kafka_Consumer
aniketvjadhav/spark
Mirror of Apache Spark
aniketvjadhav/SQL
Most of the SQL Queries
aniketvjadhav/twitter-streaming-app
Sentiment analysis on Twitter using Apache Storm & Apache Kafka