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I came to the platform with no experience and now I am knowledgeable in Machine Learning with Python. No easy thing I must say, the sessions are challenging and go to the depths. I looked at graduate... Read More
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In this Big Data project, a senior Big Data Architect will demonstrate how to implement a Big Data pipeline on AWS at scale. You will be using the Aviation dataset. Analyse Aviation data using highly competitive technology big data stack such as NiFi, Kafka, HDFS ,Hive, Druid, AWS quicksight to derive metrics out of the existing data . Big data pipelines built on AWS to serve both batch and real time streaming ingestions of the data for various consumers according to their needs . This project is highly scalable and implemented on a very large scale organisation set up .
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 Deep Learning Project on Image Segmentation Python, you will learn how to implement the Mask R-CNN model for early fire detection.
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.
In this deep learning project, you will build your own face recognition system in Python using OpenCV and FaceNet by extracting features from an image of a person's face.
In this machine learning resume parser example we use the popular Spacy NLP python library for OCR and text classification.
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 NLP AI application, we build the core conversational engine for a chatbot. We use the popular NLTK text classification library to achieve this.
Hive Project -Learn to write a Hive program to find the first unique URL, given 'n' number of URL's.
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.