Can you also share the ppt from last week?

Charita

23-24 March : There was an introduction of Machine Learning

MachineLearning

Mar 31 2019 01:33 AM

5 Answer(s)

Kalyan

All the code files have been shared over gdrive. For the recordings, you need to check whether you have the rest of the recordings.

Mar 31 2019 03:35 PM

Charita

Ok thanks Kalyan. Got it

Mar 31 2019 09:57 PM

Rekha

I found the pdf file with curriculum. Hope this is the right one.

Regards

Rekha

DeZyre - DSP.pdf

Mar 31 2019 10:49 PM

Charita

Can you pls provide the full ppt file, since eg 'Desicion Trees' is not on it. The file is till page 84, while it has more pages . Thank you

Apr 08 2019 12:37 AM

Charita

Thanks Dennis.

Do you have the rest of the dataAnalytcs.ppt? If so, can you pls share it?

Apr 08 2019 02:16 AM

Relevant Projects

German Credit Dataset Analysis to Classify Loan Applications

In this data science project, you will work with German credit dataset using classification techniques like Decision Tree, Neural Networks etc to classify loan applications using R.

Real-Time Log Processing in Kafka for Streaming Architecture

The goal of this apache kafka project is to process log entries from applications in real-time using Kafka for the streaming architecture in a microservice sense.

Implementing Slow Changing Dimensions in a Data Warehouse using Hive and Spark

Hive Project- Understand the various types of SCDs and implement these slowly changing dimesnsion in Hadoop Hive and Spark.

Credit Card Fraud Detection as a Classification Problem

In this data science project, we will predict the credit card fraud in the transactional dataset using some of the predictive models.

Real-time Auto Tracking with Spark-Redis

Spark Project - Discuss real-time monitoring of taxis in a city. The real-time data streaming will be simulated using Flume. The ingestion will be done using Spark Streaming.

Learn to prepare data for your next machine learning project

Text data requires special preparation before you can start using it for any machine learning project.In this ML project, you will learn about applying Machine Learning models to create classifiers and learn how to make sense of textual data.