First of all, Thank you very much for your comment. As you can see in the video. we have used the "save widget" to save the model into a pickle file. Which we can load into python-like. import pickle model = pickle.load(open("my_model.pkcls", "rb")) Dear, I can't explain all here. you can understand that. But I have started playlists. I have completed Numpy tutorials. Now pandas tutorials are going on and, at the end of all such tutorials, we will deploy our model (Using Flask/Django) to Heroku like clouds. Request you to follow my tutorials. Thank you. Video Link: th-cam.com/video/aJijPKiIGOQ/w-d-xo.html Also, check the description of the above video, in that, I have provided links to the deployed models. That I have deployed for teaching-learning purposes. Thank you.
@@DataThinkers That was an impressive drag and drop performance. I have tried doing the same here using orange for image classification but the test and score isn't displaying the output even after so many trials and so many attempt using the different training algorithms. Please guide me on this ...thanks,
Thanks for your comment. You can compare different ML algorithms on available dataset for stock market investment and finally build the model from best algorithm. You can search dataset on kaggle. 🙏
impressive. How can you deploy a model built on Orange to web service?
First of all, Thank you very much for your comment. As you can see in the video. we have used the "save widget" to save the model into a pickle file. Which we can load into python-like.
import pickle
model = pickle.load(open("my_model.pkcls", "rb"))
Dear, I can't explain all here. you can understand that. But I have started playlists. I have completed Numpy tutorials. Now pandas tutorials are going on and, at the end of all such tutorials, we will deploy our model (Using Flask/Django) to Heroku like clouds.
Request you to follow my tutorials. Thank you.
Video Link: th-cam.com/video/aJijPKiIGOQ/w-d-xo.html
Also, check the description of the above video, in that, I have provided links to the deployed models. That I have deployed for teaching-learning purposes. Thank you.
@@DataThinkers That was an impressive drag and drop performance. I have tried doing the same here using orange for image classification but the test and score isn't displaying the output even after so many trials and so many attempt using the different training algorithms. Please guide me on this ...thanks,
how can we use orange for stock market investments
Thanks for your comment. You can compare different ML algorithms on available dataset for stock market investment and finally build the model from best algorithm. You can search dataset on kaggle. 🙏