We will first load the dataset and define the target variable for the problem: Note: Here is the dataset I used for the code: Download We’ll be using a dataset from Quandl (you can find historical data for various stocks here) and for this particular project, I have used the data for ‘ Tata Global Beverages’. Technical Analysis, on the other hand, includes reading the charts and using statistical figures to identify the trends in the stock market.Īs you might have guessed, our focus will be on the technical analysis part.Fundamental Analysis involves analyzing the company’s future profitability on the basis of its current business environment and financial performance.Broadly, stock market analysis is divided into two parts – Fundamental Analysis and Technical Analysis. We’ll dive into the implementation part of this article soon, but first it’s important to establish what we’re aiming to solve. This is specifically designed time series problem for you and the challenge is to forecast traffic.Īre you a beginner looking for a place to start your data science journey? Presenting a comprehensive course, full of knowledge and data science learning, curated just for you! This course covers everything from basics of Machine Learning to Advanced concepts of ML, Deep Learning and Time series. Time Series is being widely used in analytics & data science. Time series analysis is a specialized branch of statistics used extensively in fields such as Econometrics & Operation Research. Time Series forecasting & modeling plays an important role in data analysis. Project to Practice Time Series Forecasting Problem Statement
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |