Gold & Silver Price Prediction using ARIMA in Python

3.7
10 個評分
提供方
Coursera Project Network
在此免費的指導 項目中,您將:

Explore the concept behind AutoRegressive Integrated Moving Average (ARIMA) time series algorithm

Build, train, test and evaluate the performance of an ARIMA model 

Forecast the price of Gold & Silver 30 days into the future

在面試中展現此實踐經驗

Clock1.5 hours
Beginner面向初學者
Cloud無需下載
Video分屏視頻
Comment Dots英語(English)
Laptop僅限桌面

In this one hour long project, we will build an AutoRegressive Integrated Moving Average (ARIMA) time series machine learning model to forecast the price of Gold & Silver 30 days into the future. We will start this 1-hour long project by importing all the necessary libraries. We will then download real-time data from Yahoo Finance & visualize the historical performance of Gold & Silver through graphs using Matplotlib. We will dive in-depth into the concept of ARIMA and why it is a really efficient time series algorithm. We will then create an Arima model and forecast the price 30 days into the future. We will then train, test and evaluate the performance of the model. By the end of this project, you will be confident in analyzing, visualizing and forecasting the price of any commodity or stock of your choice using the ARIMA algorithm. Disclaimer: This project is for educational purposes only and should not be taken as a piece of financial advice. Please consult a professional financial advisor before investing.

必備條件

It is recommended to have some experience in Python but even if you have no experience in coding at all, you will be able to complete this project.

您要培養的技能

Gold price predictionForecastingMachine LearningAutoregressive Integrated Moving Average (ARIMA)Financial Markets

分步進行學習

在與您的工作區一起在分屏中播放的視頻中,您的授課教師將指導您完成每個步驟:

  1. Importing necessary libraries

  2. Importing the dataset & exploring it

  3. Understanding the ARIMA model

  4. Data Preprocessing- Train-Test Split

  5. Modelling: Creating ARIMA Model

  6. Forecasting the price of Gold

  7. Forecast Automation: Forecasting the price of Silver

指導項目工作原理

您的工作空間就是瀏覽器中的雲桌面,無需下載

在分屏視頻中,您的授課教師會為您提供分步指導

常見問題

常見問題

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