Network_Activity_Machine_learning

In this project, I developed a machine learning model to classify network activities as either "normal" or indicative of a "Neptune" (SYN flood) attack. Performed Data Preprocessing: I handled missing values using imputation and standardized numerical features. Categorical features were encoded using one-hot encoding, Model Training: A RandomForestClassifier was employed within a pipeline to streamline preprocessing and model training. The training data was split into training and validation sets to assess model performance, Evaluation, Prediction and Submission.