Implemented RandomizedSearchCV #1

[NeonKazuha]

RandomizedSearchCV is used instead of GridSeachCV as it is much faster and less computationally expensive.

1. Created a Hyperparameters Grid.
   • Logistic Regression:
   • logisticregression__C: This key defines the regularization parameter (C) for logistic regression.
   • logisticregression__solver: This key specifies the solver algorithm for logistic regression.
   • Support Vector Machine:
   • svc__C: Key defines the regularization parameter (C) for SVM.
   • svc__kernel: This key defines the kernel function used by the SVM.
   • svc__gamma: It defines the gamma parameter that controls the influence of training points on the decision boundary.

• Used RandomizedSearchCV to build a pipeline using hyperparameters.
• cv = 10: This sets the number of cross-validation folds to 10.
• n_jobs=-1: This instructs GridSearchCV to use all available CPU cores to parallelize the hyperparameter tuning process.

• Put the models in a loop to find accuracy score.

[NeonKazuha]

@darshbaxi Please Review.

[Samcoding5854]

Great work. Could have used more models to see more possibilities.