Hi, I am Mallikarjuna from Andhra Pradesh, I am doing research in Financial Economics. My objective is to forecast stock returns using different models like ARIMA, Artificial Neural Networks, Wavelets and Hybrid models and finding out the best model out of these. Is there anyone in this forum who has expertise knowledge in predictive analytics and time series forecasting using different packages in R programming or Mat lab ? Please reply as soon as possible. I would be so grateful to your reply. Thank you

Asked by Last Modified  

1 Answer

Follow 4
Answer

Please enter your answer

For doing time series predictive analysis, you can use ARIMA models using python scikit-learn library.
Comments

Related Questions

I want to become Business analyst, i have 8 year's work experience in international banking customer service. Looking for a professional who can teach at his home.
If it is Hyderabad location you are looking for Reachout Analytics Pvt Ltd is the best for Business Analytics.
Profile Photo
Syed
0 0
View Comments8

Now ask question in any of the 1000+ Categories, and get Answers from Tutors and Trainers on UrbanPro.com

Ask a Question

Related Lessons

Beware Of Trainers Of Data Science.
Most of the trainers in the market are teaching DATA SCIENCE as 1) Some software tools like R/Python/SAS/Hadoop etc 2)They are spending less amount of time on Mathematics and Statistics(Mostly 10 hrs...
Profile Photo

Using Ranges In Excel
A cell is a single element in a worksheet that can hold a value, some text, or a formula. A cell is identified by its address, which consists of its column letter and row number. For example, cell B1 is...
Profile Photo

Principal component analysis- A dimension reduction technique
In simple words, principal component analysis(PCA) is a method of extracting important variables (in form of components) from a large set of variables . It extracts low dimensional set of features from...
Profile Photo

Data Consolidation In Excel
Before you begin consolidating the data, make sure that there is consistency across the data sources. This means that the data is arranged as follows: Each range of data is on a separate worksheet. Each...
Profile Photo

Basics of K means classification- An unsupervised learning algorithm
K-means is one of the simplest unsupervised learning algorithms that solve the well-known clustering problem. The procedure follows a simple and easy way to classify a given data set with n objects through...
Profile Photo

Looking for Business Analytics Training classes?

Learn from the Best Tutors on UrbanPro

Are you a Tutor or Training Institute?

Join UrbanPro Today to find students near you