snehal41

BigData_Course

Sample repository for assignments

datacamp-data-analyst-with-python

data analyst with python career track

HackerRank

HackerRank solutions in Java/JS/Python/C++/C#

IDS-UNSW-NB15

IoT intrusion Detection Model based on neural network and random forests

NIDS-Intrusion-Detection

Simple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for training test. correct set is used for test. PCA is used for dimension reduction. SVM and KNN supervised algorithms are the classification algorithms of project. Accuracy : %83.5 For SVM , %80 For KNN

ToImproveChildHealthNutrtion-AssignmentCrowdWorks

Assignment for CrowdWorks

trialadf

tutorials

Data Science Dojo Tutorials

snehal41/BigData_Course

Sample repository for assignments

snehal41/datacamp-data-analyst-with-python

data analyst with python career track

snehal41/HackerRank

HackerRank solutions in Java/JS/Python/C++/C#

snehal41/IDS-UNSW-NB15

IoT intrusion Detection Model based on neural network and random forests

snehal41/NIDS-Intrusion-Detection

Simple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for training test. correct set is used for test. PCA is used for dimension reduction. SVM and KNN supervised algorithms are the classification algorithms of project. Accuracy : %83.5 For SVM , %80 For KNN

snehal41/ToImproveChildHealthNutrtion-AssignmentCrowdWorks

Assignment for CrowdWorks

snehal41/trialadf

snehal41/tutorials

Data Science Dojo Tutorials