Project : Stock price prediction using ML | Neural Network | Web app | python | 2024

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In this Video, we have discussed about predicting the stock data price using a simple Neural Network and explained the Moving Average concept and finally predicted different stock data prices like Google, Microsoft, HDFC and Bit coin

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Add on : Also created a simple Web app to Visualize the Predicted data
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0:00 - 0:30 - Intro
00:31 - 5:00 - Google Stock dataset | Explanation
5:01 - 11:00 - Data Cleaning | Data Analysis | Graphs
11:01 - 22:50 - Moving Average Concept | Plotting | Explanation
22:51 - 25:03 - Percentage Change in stock data function
25:04 - 31:16 - Preprocessing the Data
31:17 - 34:08 - Splitting the data into Train and Test sets
34:09 - 41:38 - Building the Neural Network Model
41:39 - 48:43 - Predicting the Test data
48:44 - 1:10:42 - Building Web app

You can find python and Machine learning project videos here:

Feel free to comment down if any quires, Stay tuned to KD code
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Bro pls dont stop to teaching us, ur guide is really helpfull

swaynz
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Thank you so much for this, it helps me a lot.Looking forward more from you.

ravi
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If you normalize your training data using the historical minimum and maximum prices, any future price outside this range will be mapped to values outside the [0, 1] interval. This can cause issues when feeding new data into the trained model. So the prediction will be incorrect

ВладимирДудавский-бц
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amazing and easy to understand explanation
your are doing great man

tarandeep
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Import "keras.models" could not be resolved . Need help

aryanagarwal
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sir the last step to save the model is not creating any file in the given location then how to use it vs code?

URUCCUMANI.R
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Hi, i am getting ValueError when i run model.fit(x_train, y_train, batch_size=1, epochs=2)
ValueError Traceback (most recent call last)
Cell In[70], line 1
----> 1 model.fit(x_train, y_train, batch_size=1, epochs=2)
Can you guide me.

ravi
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its only testing/predicting the existing data to current date, how make it predict for the future data? like for next 10-15 days, 100days etc

Ninjaever
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thanks a lot, @13 min, moving average means it should get 5 average values instead of 1 value right ?

SpiritOfIndiaaa
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Mayi get use case, system flow and grantt chart of this video . Am not getting any idea how to make these diagrams out of video explanation .Please 😇 u canalso give me hints to create .Please sir .

passiSherpa-kb
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from keras.models import load_model
this is not working in vs code

asfandrasheed
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But can i instead of LSTM use Transformers BERT for example ?
And also combine with Tweets analyses?

MAXIMSAVELIEV-rf
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Nice video thanks, but how could i improve this? I want to insert the volume of the stock maybe, how could i make the script, that it could learn from two or more colums to predict the close?
Learn from volume and adj close and all the MAs for example to predict the price

craftyle
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How do you know, what you need to do in ML? Please guid me, I am new in ML and I am having trouble understanding what i need to do in ML

kushangshah-behn
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@KD code can we create heatmap instead of plotting 5 different graphs

anjanmallik-mixg
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can we use the same preprocessing step with support vector regressor?

imane-hxkp
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Import "keras.models" could not be

okanaltunbascom
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I finished almost but for inverse predictions I get scalar not defined

RitikaBagga-stxi
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Bhai sb kuch kr lia adhi sa jada video delh ly 55 minutes tk

Pr jo mera model hai latest_stock_price.keras vo bhi ban gya mera folder m show ho rha h
And in the last jb mna python code likha vs code mai aur terminal m ja kr k "strealit run "my_project_.py" likha to web browser open to hua pr usma dikha rha h ki vo model ko synchronusly load nhi kr pa rha h
Phir mna apka code ko copy kia aur usa run kia usma bhi error a rha h same please help me mna apki video 10 hr + spend kia h ek ek line likhi aur jb khtm hone wali thi asa error a rha h dimag khrb ho rha h

rupeshsharma
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Hi sir, In visual studio code after running code i'm getting error at line 18, could you please why you've taken

mccheerssurya
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