Model Used for Netflix Stock Price Prediction
Here we will use only the Close price of the Netflix stock for prediction and we will use the ARIMA (p, d, q) model for the prediction.
Netflix Stock Price Prediction & Forecasting using Machine Learning in R
Recently, many people have been paying attention to the stock market as it offers high risks and high returns. In simple words, “Stock” is the ownership of a small part of a company. The more stock you have the bigger the ownership is. Using machine learning algorithms to predict a company’s stock price aims to forecast the future value of the company stock. Due to some factors or elements stock price is dynamic and volatile and predicting it is more challenging.
Table of Content
- DataSet Used for Netflix Stock Price Prediction
- Model Used for Netflix Stock Price Prediction
- How to Predict Netflix Stock Price using Machine Learning in R
- Step 1: Importing the required libraries
- Step 2: Loading the Netfix Stock Price Dataset
- Step 3: Checking the dimension and missing values of our data
- Step 4: Taking the summary of the data
- Step 5: Plotting the data
- Step 6: Model building
- Step 7: Model Fitting
- Executing and Checking the Model Summary
- Checking Accuracy of Netflix Stock Price Prediction Model
- Performance Comparison on Netflix Stock Price Prediction Model on Training vs Test Data Set
- Predict Netflix Stock Price
- Calculate Test accuracy score