Predict the tips (Kaggle Dataset) using Scikit learn (GridsearchCV, Lasso and Random Forest)
In this video, we investigate the tips dataset and develop a machine learning regression model to predict the amount of tips that would be provided at a restaurant. We make use of the GridSearchCV in sklearn as well as Random Forest and Lasso regressor. The model result could be better but this video is the first attempt at this.
Datamallet python library
https://pypi.org/project/datamallet/
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https://www.openchart.org/
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Playlists:
Kaggle dataset analysis
• Kaggle Playlist
Plotly Express Masterclass
• Plotly Express Masterclass
Dashboard creation using Streamlit
• Dashboard creation using Streamlit
Data visualization using pygal
• Data visualization using Pygal and Pandas ...
Create a blog using Django
• Dashboard creation using Streamlit
Streamlit and Seaborn
• Streamlit Library for dashboard creation i...
Datamallet playlist
• Datamallet- python library built by data s...