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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