Learn how you can build Big Data Projects
WHAT IS LONG AND SHORT POSITIONS?
LONG POSITION: A TRADER WHO OWNS AN ASSET IS CALLED LONG POSITION
SHORT POSITION: A TRADER WHEN HE HAS SOLD AN ASSET BUT THAT WAS OWNED BY HIM
LONG AND SHORT POSITIONS
Jan 19 2014 09:24 PM
Perform Time series modelling using Facebook Prophet
In this project, we are going to talk about Time Series Forecasting to predict the electricity requirement for a particular house using Prophet.
Customer Churn Prediction Analysis using Ensemble Techniques
In this machine learning churn project, we implement a churn prediction model in python using ensemble techniques.
Music Recommendation System Project using Python and R
Machine Learning Project - Work with KKBOX's Music Recommendation System dataset to build the best music recommendation engine.
AWS Project - Build an ETL Data Pipeline on AWS EMR Cluster
Build a fully working scalable, reliable and secure AWS EMR complex data pipeline from scratch that provides support for all data stages from data collection to data analysis and visualization.
Analysing Big Data with Twitter Sentiments using Spark Streaming
In this big data spark project, we will do Twitter sentiment analysis using spark streaming on the incoming streaming data.
Tough engineering choices with large datasets in Hive Part - 1
Explore hive usage efficiently in this hadoop hive project using various file formats such as JSON, CSV, ORC, AVRO and compare their relative performances
Online Hadoop Projects -Solving small file problem in Hadoop
In this hadoop project, we are going to be continuing the series on data engineering by discussing and implementing various ways to solve the hadoop small file problem.
Walmart Sales Forecasting Data Science Project
Data Science Project in R-Predict the sales for each department using historical markdown data from the Walmart dataset containing data of 45 Walmart stores.
Movielens dataset analysis for movie recommendations using Spark in Azure
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.
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.
How does one benefit by investing in Shares ?
On sell side of market, how specialist is different from market maker ?
What is mean by long position
What is mean by short positions
Why couldn't a depository engage in market making ?
What do you mean by short-sellers in finance ?
You have not activated your email address. We have emailed you an activation code - please enter it below