Stock Prediction Using Python & Machine Learning

#Stock #Python #MachineLearning #AI
Stock Prediction Using Python & Machine Learning

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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[manuelalejandropereiraesaa]

A recommendation to improve this would be using more n-1 prices not only yesterday, in order to make the ML model find common patterns and trends while confirming them with previously created labels.

[kitatanya]

I’m really enjoying your tutorials, they’re easy to follow even for someone new to programming like myself. I like that you use stock market data because it’s so easy to find so viewers can follow along with you. You also have a nice voice and your videos have no annoying intro or ads.

[rrahll]

To be honest, you are the best on YouTube.
Seriously, no one explains or shows this topic better than you. Thanks and good luck!

[haakamaujla]

Some of yall are saying that the prediction method is useless because it is based on the next days price. That is the whole point, the model take the input the features for one day and it will predict the next day. You can input features without knowing the output so it can be used on current data. I’m not saying the prediction will be accurate but the implementation is correct.

[BekBrace]

Great Video brother, all of your videos are made very smartly - Keep it going | Cheers from Poland

[sjnvisuals]

Good one, please add one based on regression analysis.

[jayaprakashreddy]

Awesome, Complex topics taught in a very simple way

[saxelo]

Interesting video but I am not sure it would be better than if we were to guess the outcome based on the visual graph of the closing price. It would probably be better than rolling a dice though.

[starkgaming]

Subscribed ! Liked ! Shared !
Thank you !!!

[bizgurukul]

Sir, Can I know what are the software and hardware requirements of this prediction

[abdelhadiifleh]

Thank you very much, but we need the predictions of the unknown days, how we can do it ? Because if know the close price of tomorrow then we don’t need to predict it

[kiyanfan]

Love this video! It shows me the beauty of ML! But I wonder what is the maximum of data can be run? since the larger the data set, the more accurate the prediction is.

[Dara-ljrk]

what's the point of this prediction? when you know the open, close, high and low of the day, you already know whether or not it is more than the previous day! it is not really a prediction. A proper model should be able to predict the increase/decrease of a future date (say tomorrow) before tomorrow occurs, in which case, none of your features will be known!

[BiaoTV]

Was trying to replicate the solution...
But i'm getting an error at

tree = DecisionTreeClassifier().fit(X_train, Y_train)


could not convert string to float: '2019-12-11'

Any idea?

[interesttv]

tree= DecisionTreeClassifier().fit(X_train, y_train)
Cannot convert string into float

I solved this problem with deleting string rows
F.e. df.drop(columns=[‘ticker’, ”per”, ’date’])

[rudela]

Would it be possible to do an intraday example? Thanks

[RajaashDigital]

Hi, thanks for making this video. After watching, I come across to Interpret one of my dataset, where i want to set 0 or 1 for price if the price is over 18K. I am trying to do binary classifier model (logistic regression). Your inputs are appreciated as I am a learner.

[tiagoxdpro]

Why you use DecisionTree? LSTM its not more effective for this?

[gabrielvalencia]

Was trying to replicate the solution...
But i'm getting an error at

tree = DecisionTreeClassifier().fit(X_train, Y_train)


could not convert string to float: '2020-09-17'

could someone help me

[mh-gprj]

HELP PLEASE !
df =
where is wrong?
I can't find the error.