Hello Ms. Lavanya,
I am an actuarial student & a member of Inst. of actuaries of India. Would you suggest some tips which would help in early success? Please suggest further reading or other online certification courses(especially for probability & stat) in this direction. This helps me in two ways as I am earning certificates if not clearing exams of actuaries & it lets me to have grip on subjects in other ways.
Aaditya, This conversation is better had on a call, since we will get the opportunity to better understand your specific background. Can we call you at 5pm on saturday (jan 12)
This Elasticsearch example deploys the AWS ELK stack to analyse streaming event data. Tools used include Nifi, PySpark, Elasticsearch, Logstash and Kibana for visualisation.
This is in continuation of the previous Hive project "Tough engineering choices with large datasets in Hive Part - 1", where we will work on processing big data sets using Hive.
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 spark project, we will continue building the data warehouse from the previous project Yelp Data Processing Using Spark And Hive Part 1 and will do further data processing to develop diverse data products.
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.
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.
