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Thanks

This video is a working demo for the Artificial Intelligence App, for Steel Plant Load Prediction. Thats why this video doesn't have sound. Link for the App: afrozpython-steelplantpower-app1-f7cq3o.streamlit.app/

@@Machinelearning2023 i am learning machine learning and deep learning can u suggest some tips

@@vishalkumarsingh9009 A good starting point for machine learning beginners would be to familiarize themselves with the basic concepts and terminology of the field, such as supervised and unsupervised learning, training and test sets, and common algorithms like linear regression and k-nearest neighbors. Next, it would be beneficial to work through some simple tutorials or projects to get hands-on experience with a machine learning library or framework, such as scikit-learn for Python or TensorFlow. It is also important to practice problem-solving skills, such as data cleaning and exploration, feature engineering, model selection, and performance evaluation. It is also good to be aware of the ethical considerations of machine learning. Lastly, it is always important to stay current by reading research papers and tutorials as well as participating in online communities such as Kaggle, GitHub and StackOverflow

Glad to hear that

Thanks @Ayush Chaudhary for your feedback

Thanks

Thanks

seaborn.load_dataset('iris')

This is the link of Iris.csv file: www.kaggle.com/datasets/himanshunakrani/iris-dataset

@@Machinelearning2023 Thanks 👍

@@shahnawazalam3025 You are most welcome