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In this pre-built big data industry project, we extract real time streaming event data from New York City accidents dataset API. We then process the data on AWS to extract KPIs and metrics which will eventually be pushed to Elasticsearch for text based search and analysis using Kibana visualization.
This is an end-to-end project pipeline right from Data extraction - Cleaning - Transformation - Exploratory analysis - Visualisation - Data flow orchestration of event data on the cloud.
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 spark project, you will use the real-world production logs from NASA Kennedy Space Center WWW server in Florida to perform scalable log analytics with Apache Spark, Python, and Kafka.
In this deep learning project, you will learn how to build your custom OCR (optical character recognition) from scratch by using Google Tesseract and YOLO to read the text from any images.
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.
Use the Zillow dataset to follow a test-driven approach and build a regression machine learning model to predict the price of the house based on other variables.
Learn to design Hadoop Architecture and understand how to store data using data acquisition tools in Hadoop.
PySpark Project-Get a handle on using Python with Spark through this hands-on data processing spark python tutorial.
Use the RACE dataset to extract a dominant topic from each document and perform LDA topic modeling in python.
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.
In this data science project, you will learn how to perform market basket analysis with the application of Apriori and FP growth algorithms based on the concept of association rule learning.