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Distributed-data-algorithms

This repository includes different algorithms of Distributed Machine Learning and tools.

  • Lab_1 :Distributed Computing with Message Passing Interface (MPI)
  • Lab_2 :Point to Point Communication and Collective Communication using MPI
  • Lab_3 :Distributed K-means Clustering
  • Lab_4 :Linear Regression and Parallel stochastic Linear Regression
  • Lab_5 :Time Series Forecasting using TensorFlow
  • Lab_6 :Research Paper Implementation using TensorFLow Dataset
  • Lab_7 :Convolutional Neural Networks for Image Classification
  • Lab_8 :Distributed Computing with Apache Spark
  • Lab_9 :Hadoop warmup exercises

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