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學生對 Coursera Project Network 提供的 Tesla Stock Price Prediction using Facebook Prophet 的評價和反饋

4.5
46 個評分
12 條評論

課程概述

In this 1.5-hour long project-based course, you will learn how to build a Facebook Prophet Machine learning model in order to forecast the price of Tesla 30 days into the future. We will also visualize the historical performance of Tesla through graphs and charts using Plotly express and evaluate the performance of the model against real data using Google Finance in Google Sheets. We will also dive into a brief stock analysis of Tesla and we will discuss PE ratio, EPS, Beta, Market cap, Volume and price range of Tesla. We will end the project by automating the forecasting process in such a way that you will get the forecast of any of your favourite stock with all necessary visualization within a few seconds of uploading the data. By the end of this project, you will be confident in analyzing, visualizing and forecasting the price of any stock of your choice. Disclaimer: This project is intended for educational purpose only and is by no means a piece of Financial advice. Please consult your financial advisor before investing in stocks. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....

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AJ

2022年4月7日

Nice Couse thanks Abhishek. I was able to understand the Prophet lib and with that I was able to make the predictions for bitcoin as well - https://www.prediction1.com/prediction/BTC

MS

2022年2月6日

I really enjoyed this project. Beginner-friendly, clearly explained, and concise intro to FB Prophet. Thanks!

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1 - Tesla Stock Price Prediction using Facebook Prophet 的 15 個評論(共 15 個)

創建者 natalie G

2021年6月13日

Fellow New Zealander in the USA here. I love your instructing, teaching and this concept so much! As a Technological Entrepreneur female Nerd, I am looking for more from you and will definitely use this on my stocks over and over again. By fire and By force I have installed this into my brain. I am bouncing and defeating all my competitors! Computer, AI and Data science rocks!!!!!

創建者 Sahil S

2021年12月29日

This is a great project that focuses on using machine learning to forecast stock prices using real-world examples and financial terminology. I highly recommend it to anyone who wants to start stock trading!

創建者 Avinash J

2022年4月7日

Nice Couse thanks Abhishek. I was able to understand the Prophet lib and with that I was able to make the predictions for bitcoin as well - https://www.prediction1.com/prediction/BTC

創建者 Mohamed S

2022年2月7日

I really enjoyed this project. Beginner-friendly, clearly explained, and concise intro to FB Prophet. Thanks!

創建者 Keyur S

2021年12月4日

This was a very well designed and guided project - would love doing something similar on AI and ML

創建者 Dhruv T 4

2022年6月29日

Very good and easy project

創建者 Dania D

2022年6月28日

great experience

創建者 Horacio B R

2021年7月28日

E​xcellent

創建者 Joshua

2021年6月8日

Nil

創建者 अच्छे व

2022年3月6日

It's a very good course for those who are just started in ML(Trading). It start's from basic and I think well mantain course to automate process in the end.

創建者 Ajith B

2021年6月16日

A very good project indeed. I learnt Facebook Prophet and was an eye opener for me who doesn't know anything about stocks

創建者 Vladyslav K

2021年8月5日

Great hands on introduction to Prophet, would enjoy a deeper dive into other functions of this library next time

創建者 Kleider S V G

2022年3月4日

Clear and concise!

創建者 Jair C

2021年9月28日

i​t´s so basic.

創建者 Martín J M

2022年1月2日

I​ts good if you have no idea about how to use python por: plotly, pandas, prophet etc. Maybe the pace and content are adequate for an hour class.

I​ would say its rather superficial. For instance, it teaches facebook prophet to predict if a Tesla stock increases or not in the near future. However, how is this any better than simple eye inference? Would have been better to showcase an example where it predicts an inflexion in the stock, not a monothonical extrapolation (which anyone could do by naked eye). Or talk briefly on how the prohpet fit works, its limitations, etc.