Nishit nishitpatel01

## train-vertex-ai-automl-image-object-detection-model.ipynb

      
              1 file
            
          
              0 forks
            
          
              1 comment
            
          
              0 stars
            
          
                nishitpatel01
                / train-vertex-ai-automl-image-object-detection-model.ipynb
            
            
              Last active
              February 11, 2022 02:21
            
              
                Train an image object detection model using Vertex AI AutoML (using APIs)
              
          
      Sorry, something went wrong. Reload?
      Sorry, we cannot display this file.
      Sorry, this file is invalid so it cannot be displayed.
      
          Viewer requires iframe.
      
    
## DonaldTrumpNetWorth2016.csv
Asset,Type,Asset Value,Debt,Net Value,Change vs 2015,Change,Stake,Latitude,Longitude,Notes
Trump Tower (New York City),Office and retail,471,100,371,-159,Down,1,40.768277,-73.981455,Opened 1983
1290 Avenue of the Americas (New York City),Office and retail,2310,950,408,-62,Down,0.3,40.768277,-73.981455,
Niketown (New York City),Office and retail,400,10,390,-52,Down,1,40.768277,-73.981455,Ground lease through 2079
40 Wall Street (New York City),Office and retail,501,156,345,-28,Down,1,40.768277,-73.981455,
Trump Park Avenue (New York City),Residential and retail,191,14.3,176.7,-27,Down,1,40.768277,-73.981455,"49,564 sq. ft. of condos; 27,467 sq. ft. of retail"
Trump Parc/Trump Parc East (New York City),Residential and retail,88,0,88,17,Up,1,40.768277,-73.981455,"11,750 sq. ft. of condos; 14,963 sq. feet of retail; 13,108 sq. ft. of garage"
"Trump International Hotel and Tower, Central Park West (New York City)","Hotel, condos and retail",38,0,38,21,Up,1,40.768277,-73.981455,
"Trump World Tower, 845 United Natio

## useful_pandas_snippets.py
# List unique values in a DataFrame column
# h/t @makmanalp for the updated syntax!
df['Column Name'].unique()

# Convert Series datatype to numeric (will error if column has non-numeric values)
# h/t @makmanalp
pd.to_numeric(df['Column Name'])

# Convert Series datatype to numeric, changing non-numeric values to NaN
# h/t @makmanalp for the updated syntax!
	Asset,Type,Asset Value,Debt,Net Value,Change vs 2015,Change,Stake,Latitude,Longitude,Notes
	Trump Tower (New York City),Office and retail,471,100,371,-159,Down,1,40.768277,-73.981455,Opened 1983
	1290 Avenue of the Americas (New York City),Office and retail,2310,950,408,-62,Down,0.3,40.768277,-73.981455,
	Niketown (New York City),Office and retail,400,10,390,-52,Down,1,40.768277,-73.981455,Ground lease through 2079
	40 Wall Street (New York City),Office and retail,501,156,345,-28,Down,1,40.768277,-73.981455,
	Trump Park Avenue (New York City),Residential and retail,191,14.3,176.7,-27,Down,1,40.768277,-73.981455,"49,564 sq. ft. of condos; 27,467 sq. ft. of retail"
	Trump Parc/Trump Parc East (New York City),Residential and retail,88,0,88,17,Up,1,40.768277,-73.981455,"11,750 sq. ft. of condos; 14,963 sq. feet of retail; 13,108 sq. ft. of garage"
	"Trump International Hotel and Tower, Central Park West (New York City)","Hotel, condos and retail",38,0,38,21,Up,1,40.768277,-73.981455,
	"Trump World Tower, 845 United Natio
	# List unique values in a DataFrame column
	# h/t @makmanalp for the updated syntax!
	df['Column Name'].unique()

	# Convert Series datatype to numeric (will error if column has non-numeric values)
	# h/t @makmanalp
	pd.to_numeric(df['Column Name'])

	# Convert Series datatype to numeric, changing non-numeric values to NaN
	# h/t @makmanalp for the updated syntax!