Stock Market

Stock Market Project Example – Stock Prediction using Machine Learning and Python | Machine Learning Training | Edureka

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Stock Market Project Example – Whats The Best?

🔥NIT Warangal Post Graduate Program in AI & Machine Learning with Edureka: https://www.edureka.co/nitw-ai-ml-pgp
This Edureka “Stock Prediction using Machine Learning” takes you through the basic process of predicting the trends of stock prices using machine learning architecture of LSTM while also making use of prominent Python Libraries such as Tensorflow, Keras, etc. Topics covered in the tutorial are as follow:
01:30 Introduction to Stock Prediction
03:00 LSTM Architecture
05:35 Stock Prediction Model
26:35 Conclusion

🔸Dataset & code: https://bit.ly/2x6BPe0

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Professor JNTU Kakinada
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32 Comments
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32 Comments

  1. edureka!
    July 28, 2021 at 11:16 am

    Got a question on the topic? Please share it in the comment section below and our experts will answer it for you. For Edureka PGP AI and ML Course Curriculum, Visit our Website: https://bit.ly/3au3ofB

  2. Garcia
    July 28, 2021 at 11:16 am

    Hey, Please send code on my Mail or if you can, renew link to the code? If its possible 🙂 Thanks and have a good day.

  3. Chahat Hooja
    July 28, 2021 at 11:16 am

    Can you please share the code and dataset? The link is not working.

  4. Saya Konohana
    July 28, 2021 at 11:16 am

    The link to dataset does not work. I got a content not found error.

  5. SANJU
    July 28, 2021 at 11:16 am

    Sir the code and the data set were not visible sir can u please make it for me it was so urgent and we need that one Plz make it fast sir

  6. Vishnu V
    July 28, 2021 at 11:16 am

    Nice Walkthrough. Please share the explained code and dataset to vizhnu.v5@gmail.com. TIA.

  7. Utsab Biswas
    July 28, 2021 at 11:16 am

    Fabulous explanation!!!
    Please share the data set and code link to utsabbiswas84@gmail.com

  8. Sujaikumar Subramaniam
    July 28, 2021 at 11:16 am

    Could you please share the data set and code for reference

  9. Uddeshya Gupta
    July 28, 2021 at 11:16 am

    Can you please send the link for data set and code at this email address
    uddeshya460gupta@gmail.com

  10. Arun Basnet
    July 28, 2021 at 11:16 am

    Thank you. Could you please share the dataset and code link to cheage18@gmail.com The link mentioned in the description isn't working.

  11. Nationalist Jay
    July 28, 2021 at 11:16 am

    hey Team,
    Can you plz send the code and data link to jayshankarpure@gmail.com .The link in description is giving error 404

  12. Srinivasa Gopalan Anand
    July 28, 2021 at 11:16 am

    Perfect Explanation!!!! Kudos… Could you please share the dataset and code link to gopal010895@gmail.com The link mentioned in the description isn't working. TIA

  13. Aayush Subedi
    July 28, 2021 at 11:16 am

    aayushsubedi222@gmail.com Please send the code and other materials. The given link is not working!

  14. Nikhil Firoz
    July 28, 2021 at 11:16 am

    hi, i have some doubts!
    the price for how many days into the future is predicted using this?
    i would like to have the source code. wherecan i get it?

  15. Sophie Wilson
    July 28, 2021 at 11:16 am

    Can you provide the link to the code and materials? I will be very happy if you share. Thank you!(sophiewilson9191@gmail.com)

  16. Rehnuma Ratuli
    July 28, 2021 at 11:16 am

    Can you provide the link to the code and materials please? The link is not quite working.
    mail id- rratul163047@bscse.uiu.ac.bd

  17. Younker's Synapse
    July 28, 2021 at 11:16 am

    Can you provide the link to the code and materials? The link is not quite working.

  18. Preethi T
    July 28, 2021 at 11:16 am

    Very good explanation!!Please share the dataset and code….

  19. Kevin Liu
    July 28, 2021 at 11:16 am

    Can you provide the link to the code and materials? The link is not quite working. Thank you!

  20. Innocent Nzimenyera
    July 28, 2021 at 11:16 am

    great

  21. Sandeep Mane
    July 28, 2021 at 11:16 am

    Excellent

  22. yadu krishnan
    July 28, 2021 at 11:16 am

    thanks…..helped me to do my project and highly appreciated

  23. Satyam Kumar
    July 28, 2021 at 11:16 am

    Thank u so much ma'am

  24. Haskiret Bhangu
    July 28, 2021 at 11:16 am

    Could you please explain what happens with the x_train and y_train when creating the data structure? I’m still confused about that part

  25. Ricky Mathews
    July 28, 2021 at 11:16 am

    Nice, very informative

  26. ki5ngau
    July 28, 2021 at 11:16 am

    Very nice.

  27. Neuraldata
    July 28, 2021 at 11:16 am

    Much informative❣️…will recommend your videos to our students also

  28. Yuva
    July 28, 2021 at 11:16 am

    Excellent explanation of code all through out. Great command over Py and TF 👏👏👏

  29. Phil Toa
    July 28, 2021 at 11:16 am

    Thank you very much.

  30. Manmohan Dayal
    July 28, 2021 at 11:16 am

    Please explain that rolling mean for 7 days wala part in more lamen term. thoda usko simple karke btaye pls. Smjhne me dikkat ho rhi

  31. Shubham Tiwari
    July 28, 2021 at 11:16 am

    Predicting stock market needs human intelligence

  32. sherwin cabunilas
    July 28, 2021 at 11:16 am

    first in the comment