Deep Learning, Neural Networks, Adversarial Network, Tinder, Social Media.
characters in the process. #We define a filtering function first holder = [] for i in range(0, len(tinder_bios_df)): #print (tinder_bios_df.iloc[i]); string = tinder_bios_df.iloc[i] if(string== “nan”): print(“nan removed”) else: holder.append(string) #print(holder) alphaholder= [] regex =