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What is the appropriate discount rate to use in an unlevered DCF analysis?
Oct 10 2014 08:48 PM
Sequence Classification with LSTM RNN in Python with Keras
In this project, we are going to work on Sequence to Sequence Prediction using IMDB Movie Review Dataset using Keras in Python.
Predict Churn for a Telecom company using Logistic Regression
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.
Predict Employee Computer Access Needs in Python
Data Science Project in Python- Given his or her job role, predict employee access needs using amazon employee database.
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.
Data Science Project-All State Insurance Claims Severity Prediction
Data science project in R to develop automated methods for predicting the cost and severity of insurance claims.
Machine Learning or Predictive Models in IoT - Energy Prediction Use Case
In this machine learning and IoT project, we are going to test out the experimental data using various predictive models and train the models and break the energy usage.
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.
Hive Project - Visualising Website Clickstream Data with Apache Hadoop
Analyze clickstream data of a website using Hadoop Hive to increase sales by optimizing every aspect of the customer experience on the website from the first mouse click to the last.
Finding Unique URL's using Hadoop Hive
Hive Project -Learn to write a Hive program to find the first unique URL, given 'n' number of URL's.
Tough engineering choices with large datasets in Hive Part - 2
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.
Companies grow through acquisitions some of Cos pays for with cash & some with stock. In computing capex, should you include any of the acquisitions,only acquisitions funded with cash/ all acquisition
Which method is considered the most from DCF, Trading Analysis or Acquisition analysis for valuing a company?
How do you calculate unlevered free cash flows for DCF analysis?
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