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The era of IOT brought with it the need to stream data, process and sometimes display its information in real or near-real time.
In this spark streaming project, we will be using a dataset that passes for real-time data sensor feeds for tracking auto vehicles around the city of Bejing. We will track each vehicle as the signal is received from our streaming simulation (using Flume). We will receive the streams of data using Spark Streaming and use the Redis as a pub/sub middleware.
Furthermore, we will use a java swing based application to display real-time information about all vehicles being tracked. While tracking the vehicle, we will be looking for indexes like current speed, total time and distance covered.
While this spark project is about tracking autos, the principles shared in this big data project will cover wide areas of implementing real-time sensor data processing and much more IOT.
In this PySpark project, you will simulate a complex real-world data pipeline based on messaging. This project is deployed using the following tech stack - NiFi, PySpark, Hive, HDFS, Kafka, Airflow, Tableau and AWS QuickSight.
In this Deep Learning Project on Image Segmentation Python, you will learn how to implement the Mask R-CNN model for early fire detection.
Hive Project -Learn to write a Hive program to find the first unique URL, given 'n' number of URL's.
Machine Learning Project in R- Predict the customer churn of telecom sector and find out the key drivers that lead to churn. Learn how the logistic regression model using R can be used to identify the customer churn in telecom dataset.
Learn to design Hadoop Architecture and understand how to store data using data acquisition tools in Hadoop.
In this Databricks Azure tutorial project, you will use Spark Sql to analyse the movielens dataset to provide movie recommendations. As part of this you will deploy Azure data factory, data pipelines and visualise the analysis.
Use the RACE dataset to extract a dominant topic from each document and perform LDA topic modeling in python.
In this deep learning project, you will find similar images (lookalikes) using deep learning and locality sensitive hashing to find customers who are most likely to click on an ad.
In this machine learning resume parser example we use the popular Spacy NLP python library for OCR and text classification.
In this time series project, you will forecast Walmart sales over time using the powerful, fast, and flexible time series forecasting library Greykite that helps automate time series problems.