Machine Learning Project in Python to Predict Stock Price | ML End to End Application

In this video, explained Machine Learning Project in Python to predict stock market price. In this ML Project, explained end to end web application of Machine learning model which predicts the stock market price of a stock. This entire project is developed in the python programming language.

#stockmarketprediction #machinelearning #mlproject #pythonprojects

Video, explained how to create a machine learning model, how to do data preprocessing for Machine learning model, how to create a Machine learning model with neural networks using TensorFlow Keras layers , how to create a ML model with layers as Dense, Dropout, LSTM and how to train the model and how to test model and finally how to deploy the model as a Realtime web application. This complete, Machine learning project explained in easy to understand and beginners level.

0:00 - 0:15 - Intro of the Project
0:16 - 01:25 - Demo
01:26 - 02:54 - Explaining Model
02:55 - 03:34 - Required Tools
03:35 - 20:16 - Pre Processing Data
20:17 : 32:16 - Model Creation
32:17 - 40:19 - Predicting values from model
40:20 - 40:35 - Saving Model
40:36 - 59:44 - Deploying model as Web App

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[thekinggroup__]

thanks alot big man this is a gift to all data science students doing intership on predicting market using LSTM

[sakshamRaybole]

Thank you soooo much you have helped me alot with my project.... ❤❤

[Pranav-vbho]

Great tutorial brother. I am trying the same in PyTorch.

[Haritesh-pz]

Grate Explanation and Grate Project for College

[aryanagarwal]

I am really confused since in this video where iss the actual predictiction happenning, i only saw the demo. In that there is no graph which goes beyond the time . Can someone explain

[subhsp]

How to check the accuracy of this model?

[adityatiwari]

Great Explanation sir. Its a really nice project to learn the ways to integrate our model on web apps. This video helps me a lot to understand the approach.

[motivational_gamer]

Thanks a lot bhaiya, this video helps me a lot to complete my tasks in my internship ♥️♥️
Hope to watch such more videos.
If possible make a voice command Recognition model.
Thank you 🙏😊

[cj-ams]

Thank you so much sir! Great Tutorial
😊I am currently practicing to deepen my understanding in Machine Learning, and I am developing my own ML model about 'Tourist Arrival Prediction'. However, I have encountered certain challenges along the way and seek guidance. As I train my model, I recognize the importance of incorporating various factors such as:

*the number of monthly arrivals
*the underlying reasons behind the increase/decrease in these numbers.

Could anyone provide valuable insights or advice on how to do with this? Additionally, I'm want to find tutorials on YouTube to improve my project. Any suggestions for suitable resources would be greatly appreciated.👌😃

[tsaibro]

great video, kind youtuber! keep going~

[rodrigodifederico]

It doesn't look like predicting, as the prediction moves always after the original price in the charts. Any suggestions?

[prachisingh]

thanks a lot you have thoroughly explained each and every topic..hope to see more such content from you

[wasimsharieff]

U deserve more subscribers, seriously....
All the best... Where can I find the web aap, pls refer...

[abcd_qwerty]

i hope no one is thinking that this is will make someone rich 🙃

[DFCE]

First of all: Great Tutorial!
I have two questions left:
1. In the final WebApp you load the MachineLearning Model which was trained with the GOOGLE Close-Prices.
You use the GOOGLE MachineLearning Model for Tesla aswell. Is it not necessary to train a new Model especially with the Tesla Close Prices for Tesla Close-Price predictions?
2. Where are the predicted Close-Prices for the next day? How do we get the predicted Close-Prices for the next day?

[imane-hxkp]

thank you! can we use the same preprocessing step but with support vector regressor or mlp regressor?

[artistamrinder]

From keras.model import load_model is not working please help

[MUBIify]

Can anyone explain what exactly are we predicting here? All the dates are in the past!

[fdhcpgd]

Do we need to deal with the outliers in the data before model building or consiser as they are

[mrraaz]

Sir i am getting this error ModuleNotFoundError: No module named 'keras.model' . How to fix it can you help