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Computer Science
Registrace 5. 08. 2014
Join me on this incredible journey to learn many different technologies, concepts and programming languages like Python, C programming, machine learning, artificial intelligence (AI), and computer science! I will be creating content on all of the topics mentioned above and presenting them in a fun and interesting way by applying these concepts to real world applications.
If you like the content on this channel, then please consider becoming a supporter on Patreon: www.patreon.com/computerscience
If you like the content on this channel, then please consider becoming a supporter on Patreon: www.patreon.com/computerscience
Machine Learning (AI) for Trading Stocks
#Programming #Python
Machine Learning (AI) Random Forest Regressor for Trading Stocks
Disclaimer: The material in this video is purely for educational purposes and should not be taken as professional investment advice. Invest at your own discretion.
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▶️ Get 2 Free Stocks on WeBull (valued up to $1850) when you deposit $100 or more :act.webull.com/kol-us/share.html?hl=en&inviteCode=LR6VIpFiAkPe
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📚Helpful Python Programming Books📚
▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀
► Hands-On Machine Learning with Scikit-Learn and TensorFlow:
amzn.to/2AD1axD
► Learning Python:
amzn.to/3dQGrEB
►Head First Python:
amzn.to/3fUxDiO
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📚Helpful Financial Books📚
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🌟Stock Market Investing Books:
✔️The Bogleheads' Guide to Investing
amzn.to/3s0icxA
✔️The Intelligent Investor
amzn.to/34Mj7t1
✔️A Random Walk Down Wall Street
amzn.to/3Bv0ghW
🌟Money Mindset Books
✔️Rich Dad Poor Dad:
amzn.to/3rZW6eE
✔️Get Good With Money: Ten Simple Steps To Becoming Financially Whole:
amzn.to/3I1UXc1
Machine Learning (AI) Random Forest Regressor for Trading Stocks
Disclaimer: The material in this video is purely for educational purposes and should not be taken as professional investment advice. Invest at your own discretion.
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🐦🔥🐤 Support The Channel🐤🔥🐦
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⭐Get the code and data sets or just support the channel by becoming a supporter on Patreon:
►www.patreon.com/computerscience
⭐Website:
►everythingcomputerscience.com/
▶️ Get 2 Free Stocks on WeBull (valued up to $1850) when you deposit $100 or more :act.webull.com/kol-us/share.html?hl=en&inviteCode=LR6VIpFiAkPe
▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀
📚Helpful Python Programming Books📚
▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀
► Hands-On Machine Learning with Scikit-Learn and TensorFlow:
amzn.to/2AD1axD
► Learning Python:
amzn.to/3dQGrEB
►Head First Python:
amzn.to/3fUxDiO
▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀
📚Helpful Financial Books📚
▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀
🌟Stock Market Investing Books:
✔️The Bogleheads' Guide to Investing
amzn.to/3s0icxA
✔️The Intelligent Investor
amzn.to/34Mj7t1
✔️A Random Walk Down Wall Street
amzn.to/3Bv0ghW
🌟Money Mindset Books
✔️Rich Dad Poor Dad:
amzn.to/3rZW6eE
✔️Get Good With Money: Ten Simple Steps To Becoming Financially Whole:
amzn.to/3I1UXc1
zhlédnutí: 2 612
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#Programming #Python Watch Your Money Grow: How $100K Turns Into $1Million with Compounding Magic! Disclaimer: The material in this video is purely for educational purposes and should not be taken as professional investment advice. Invest at your own discretion. ▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀ ⭐Please Subscribe !⭐ ▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀ ▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀ 🐦🔥🐤 Support The Channel🐤🔥🐦 ▀▀▀▀▀...
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zhlédnutí 4KPřed 7 měsíci
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zhlédnutí 1,8KPřed 8 měsíci
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When i run the same, the python installation page is opening instead of run the file..can you help
Não funcionou.....não imprimiu o gráfico
I can't believe how well this strategy works. It's like you have a crystal ball!🏛
Share the source code
thank you so much
When you undertake this project in Python notebook as the presenter has done Gemini AI will complete the code for you by suggesting the lines of code. To accept what is suggested, just press the tab key on your keyboard. Through running the code can and getting an explanation from the Gemini AI regarding the errors, I determined that the API had changed.
Okay here's the deal,.... The Yahoo finance API has likely changed since this video was first published. For all of those introductory lines of code importing all those different packages you only need a single line now as follows: import yfinance as yf
but why is it same for 3.0 then? is it because it doesn't count anything after decimal?
I like the style you use and so I thought I'd follow along but I ran into issues almost on the first line. I can't install google-colab. I've tried everything that co pilot suggests but still get errors with the install and so unless I can get that loaded, I'm unable to follow along. Do you have any suggestions I can try? I've tried both Jupyter Notebook and VS. I've tried python -m pip install --use-pep517 google-colab, I've tried conda install -c conda-forge google-colab and many others - all give the same error deep within some code somewhere but not pip according to the error message.
Really great content, I learned a lot thank you.
Este funcionou....
Not bad, it sucks at forecasting...
It is totally useless wtf ??
❤❤❤ from Nigeria
I know this is really late but can anyone explain to me how I change the data on here for a more recent date and also what line of code is making it only show data for 2018?
plz dont invest in crypto especialy waqar zaka group or u will be destroying ur life
Great tutorial!
its not even close to the price.. Why didn't u normalize the data first?
It seems that normalization is not necessary for this algorithm.
Would a model need to be retrained for each individual share, or would it be able to make predictions about all shares in general after it had been trained on just one share?
Sorry dislike
It seems that you are poorly trained in correctly identifying buying and selling positions!!! Where in the market should you sell when the price rises?!!!!
Very insightful...
great stuff :)
great topic thanks
my code to train the model keeps loading but will not produce an output thus i cant finish the whole analysis. Does anyone know how i can fix this? The code: #Train the model model.fit(x_train, y_train, batch_size=64, epochs=1 )
i did batches =1 too
Thank you informative
i dont understand cd C:\Python38-32 dose not work and the first one dose not work eaither
Thanks alot. great video.
So you make a 21 minutes video to show nothing ?
Thank you for your help! Great video :)
It is genuinely fascinating looking at this over three years later - Marriott has done pretty well, but all the others have been somewhere between meh and abysmal. Past performance is not a good indicator of future results!
Thanks for the comment! I may do a future video to show the current results of this portfolio.
Hi i'm writing from asia, trying to learn using your video. however i don't get the tesla csv file. can you include in your links.
found on tests with ticker 'SAP.DE' and other stocks at 5 min, 1h , 1d interval to get max accuracy in those intervals: 5 min: 99.55 % accuracy 1 h : 80.12 % 1 d : 94.46 % ------------------------------------- using notebook: type into cell: !pip install xgboost helped me to import xgboost as xgb (py) and import yfinance as yf data = yf.download(ticker, period='60d', interval='5m')
useless video, not even showing how this "python" is installed into cmd.
Hi, is there an update for this project coming soon by any chance? Seems like many people including myself are running into an issue with pandas_Datareader not functioning with yahoo api and yfinance is the new thing. Maybe you can help ?
There are so much remaining to learn, but this was some intresting stuff. I learned about LSTM(Long Short Term Memory), taking the data from web directly, preprocessing the data,training the data and also visualizing the data.
but how to use that on live?
why don't u imported pandas library ????
Thank you for the code walk-through on this graph. 💡Love it!
How can we scale this to show next 30 day prediction from today?
9:17 please let me know if I m wrong I think that X should not include target value, so it should have 9 columns instead of 10 and exclude y value. So I think that X should be ---> X = dataset[ : , 0:9] Is it correct ? Thank you!
That's just stupid shit, your model is just replicating past data with a lag, that's so stupid. How can this crap video have so many views?
I like your videos very good- size fonts is good because I use my mobile for watch vídeo everytime..
No train test split. This is the equivalent of giving the model the answer sheet to the test so you don’t get an accurate picture of model performance
Thank you!!