After purchasing the Tesla Stock Price Prediction course using the Facebook Prophet class, I found that the first step requires uploading a file called "Learner_Notebook_prophet.ipynb." However, this file is not available for upload as described in the course materials. Checking the discussion forum, I discovered that several other students have encountered the exact same issue, with some comments dating back five months and still no response or resolution from the instructor. This lack of support is highly disappointing.

Its 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.

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.

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!!!!!

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!

I've learnt by doing which support me to engage the project. Following step by step also help me to understand easily. Just letting you know about command for installing prophet might needed to be updated.

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

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

This course is really very good. I strongly recommend for those interested in stock price forecasting.

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

good introduction, bad packages that dont work

i learnt something new.Thank you very much.

Ver nice experience and clear explanations

Very good and easy project

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great experience

great project

Good info.

Excellent

excellent