Updated Requirement Issues

[tanzim10]

• Updated torch from 1.3.1 to 2.0.0 to address compatibility issues with Python 3.9.
• Updated scikit-learn from 1.2.1 to 1.5.1 to address compatibility issues with Python 3.9.
• Adjusted numpy and pandas versions to align with the new torch requirements.
• Added constraints to requirements.txt to prevent future version conflict issues.

[linux-foundation-easycla]

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[tanzim10]

• Updated the CCO Notebook to fix a bug cauased by this error " ValueError: Cannot subset columns with a tuple with more than one element. Use a list instead."
• Fixed this issue by using an list for the rf predictions by replacing the current code with pd.concat([df1, df2]).groupby(["loc_x", "loc_y"], as_index=False)[["pred_rsrp", "cell_rxpwr_dbm"]].max()

[paulvarkey]

CI passes with these upgrades.