Learn how you can build Big Data Projects
If the net income is Rs 100 crore(1 billion) and P/E ratio is 20x and price per share is Rs 100, EPS is Rs 5, how many shares does the company have outstanding?
the answer is 20 crores( 200million) could you explain us how do you find this result?
Jun 13 2013 08:50 PM
So P/E = 20;
Number of shares outstanding will be Net income / EPS.
The net income is divided by the number of shares to get the earnings per share.
Jun 14 2013 09:47 AM
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.
Build an Image Classifier for Plant Species Identification
In this machine learning project, we will use binary leaf images and extracted features, including shape, margin, and texture to accurately identify plant species using different benchmark classification techniques.
Explore features of Spark SQL in practice on Spark 2.0
The goal of this spark project for students is to explore the features of Spark SQL in practice on the latest version of Spark i.e. Spark 2.0.
Deep Learning with Keras in R to Predict Customer Churn
In this deep learning project, we will predict customer churn using Artificial Neural Networks and learn how to model an ANN in R with the keras deep learning package.
Data Science Project-TalkingData AdTracking Fraud Detection
Machine Learning Project in R-Detect fraudulent click traffic for mobile app ads using R data science programming language.
Forecast Inventory demand using historical sales data in R
In this machine learning project, you will develop a machine learning model to accurately forecast inventory demand based on historical sales data.
Mercari Price Suggestion Challenge Data Science Project
Data Science Project in Python- Build a machine learning algorithm that automatically suggests the right product prices.
Yelp Data Processing Using Spark And Hive Part 1
In this big data project, we will continue from a previous hive project "Data engineering on Yelp Datasets using Hadoop tools" and do the entire data processing using spark.
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.
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.
what does actually takes place while deciding the price of an IPO?
investing at early stage
what are Credit suisse and others mentioned items in the first chapter?
what is hedge funds investor/provider?
Sir how do we find the rate of dilution ??
How to advice a client on raising Debt?
You have not activated your email address. We have emailed you an activation code - please enter it below