Lovish Dak's repositories
Network-Intrusion-Detection-System
In this project, I created a network intrusion detection system using CNN and BiLSTM layers. I trained the model on NSL-KDD & UNSW-NB15 dataset. I used some pre-processing techniques such as Min-Max Normalization, One-Hot Encoding etc. and measured the performance of the model on metrics such as accuracy, FPR, FNR, Precision, Recall & F-1 Score
css-only-loaders
A repository for cool css-only loaders
Hackfest-22
This is a repository for Hacktoberfest'22. You can visit Hackfest-22 website to see the various contributors, contributed in this repository.
Lovish-Dak
About me
netflix-clone
Under construction
Titanic-Machine-Learning
This project leverages machine learning techniques to predict the survival outcomes of passengers on the Titanic. Using the well-known Titanic dataset from Kaggle, I explored data preprocessing, conducted exploratory data analysis (EDA), built and trained different machine learning models, and evaluated their performance.