Pramod Narayana
8.0/10
(Our Score)
Product is rated as #290 in category Data Science
Real–time Credit card Fraud Detection is implemented using Spark Kafka and Cassandra.
Spark ML Pipeline Stages like String Indexer, One Hot Encoder and Vector Assembler is used for Pre–processing
Machine Learning model is created using the Random Forest Algorithm
Data balancing is done using K–means Algorithm
Integration of Spark Streaming Job with Kafka and Cassandra
Exactly–once semantics is achieved using Spark Streaming custom offset management
Airflow Automation framework is used to automate Spark Jobs on Spark Standalone Cluster.
Instructor Details
Votes: 0
Courses : 1
Specification: Real-time Credit card Fraud Detection using Spark 2.2
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23 reviews for Real-time Credit card Fraud Detection using Spark 2.2
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| Price | $14.99 |
|---|---|
| Provider | |
| Duration | 3 hours |
| Year | 2019 |
| Level | All |
| Language | English |
| Certificate | Yes |
| Quizzes | No |
Real-time Credit card Fraud Detection using Spark 2.2
$14.99
Deepak –
I must say the contents, of course, are really matching with the commercial level project. Topics are explained in a highly organized way. I must suggest this course for the intermediate level to expert level. Thank you so much for putting this course.
Jonas Ertel –
S mtlicher Code ist bereits vorhanden, dieser muss nur noch ausgef hrt werden. Die Videos hierf r sind recht berfl ssig. Man erf hrt eigentlich nicht mehr als das, was bereits in den Codes oder den Arbeitsanweisungen steht. Man macht viel zu wenig selbst, lernt somit fast nichts und erh lt auch nahezu keine Hintergrundinformationen, warum man etwas genau so macht etc. Der Dozent spricht zudem sehr langsam und verschwendet sehr viel Zeit. Den gesamten Kurs k nnte man auf eine Stunde k rzen.
Luxmi Dutt Sharma –
One of the best courses in Spark, Kafka and Big Data. Nice Explanation and Demonstration of the Project
Matt Birdsall –
It’s a slide show with audio recordings.
raj rag –
End to End is Good, would have been better if the data set was good. The data set is not worthy
Bielo L pez Lauber –
Excellent course and very good explanations. Example of implementation of big data in real time with great utility and with base to carry out other projects.
Iniyavel S –
The instructor, Mr. Pramod Narayana, has explained all topics in the course very lucidly and has made it easy to understand for all students. He also helps out those who have doubts. I recommend this course to anyone who wants to know how a real tike credit card fraud detection framework can be built using Kafka, Spark and Cassandra. Overall, a great course. I.
Alexander Goida –
Just a knowledge sharing training. It’s not the course really.
Vivek –
great job , thank you , would love to see more such real time projects from you .
achau c –
End to end complete understanding on an entire project, totally amazed at how crisp the entire course ran. Gave a lot of confidence. Thank you..
Driss Najih –
very interesting real world project please make others Big Data courses
Mariusz Bielawski –
A very useful and consistent course. Worth recommending
Milo Ventimiglia –
The topic of the course is very interesting and created high expectations. However, none of the code works locally, and there are mistakes in the code. It’d be easy to troubleshoot if the code was broken down by commits.
Virendra Dakhode –
good
Ernesto Zeferino Diaz –
el orden del curso
Reynaldo Mendez Robles –
Great, I think another course with a step by step more detail oriented would be amazing.
Tanmay Misra –
Good but I think he could have had a separate section of technologies used . A brief overview of them at least.
Parul Kapri –
The resources are impossible to download
Aryan Arora –
Good to know the project architecture and details. Gives a great idea to how to implement your projects in big data space. Though it spent less time in coding and was bit slow in initial sessions. Still overall a knowledgeable session and looking forward for new projects.
Pavan Chhoria –
Great Learning
Aviral Sharad Srivastava –
Since DStreams are obsolete now, so even after stating every detail very clearly in the videos these syntaxes or code constructs are of no use to me. But the whole architectural flow makes sense.
Andre Luis Costa Carvalho –
Good course, however the instructor is shallow in some concepts.
Faizal –
Awesome, great learning to understand about Spark ML and Kafka