Logistic Regression, Random Forest, Neural Networks, Image Processing, Computer Vision.
df.isnull().sum().sum()==0: print("Full data") else: print("Missing data") if df.shape[1]<df.shape[0]: print("Low dimensional") Checking the data import plotly.graph_objects as go # Data f3 = df[7] f7 = df[9] # Create histogram traces trace_f3 = go.Histogram( x=f3, name='f3', opacity=0.5, nbinsx=30