Udemy - Building Machine Learning and NLP Models for Cyber Security

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Udemy - Building Machine Learning and NLP Models for Cyber Security

Torrent Contents Size: 1.6 GB

Udemy - Building Machine Learning and NLP Models for Cyber Security
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1 - Analyzing User Behaviour with Unsupervised Machine Learning & K Means Clustering.mp4
MP4
86.7 MB
1 - Building Intrusion Detection Model with Logistic Regression.mp4
MP4
93.6 MB
1 - Building Intrusion Detection Model with Random Forest Classifier.mp4
MP4
163.2 MB
1 - Cleaning Dataset by Removing Missing Values & Duplicates.mp4
MP4
29.1 MB
1 - Conclusion & Summary.mp4
MP4
31.6 MB
1 - Conducting Exploratory Data Analysis.mp4
MP4
93.9 MB
1 - Detecting Cyber Threat with K Nearest Neighbour.mp4
MP4
139.9 MB
1 - Detecting Cyber Threat with XGBoost.mp4
MP4
70 MB
1 - Detecting Phishing Email with NLP & Naive Bayes.mp4
MP4
84.6 MB
1 - Feature Selection with Random Forest.mp4
MP4
112.4 MB
1 - Finding & Downloading Cyber Security Datasets From Kaggle.mp4
MP4
64 MB
1 - How Intrusion Detection Model Works.mp4
MP4
50.8 MB
1 - HowIntrusionDetectionModelWorks.png
PNG
295.3 KB
1 - Introduction.mp4
MP4
79.4 MB
1 - MLandNLPApplicationsinCyberSecurity.png
PNG
199.5 KB
1 - Machine Learning & NLP Applications in Cyber Security.mp4
MP4
28.7 MB
1 - Predicting Vulnerability Score with Decision Tree Regressor.mp4
MP4
50.5 MB
1 - Predicting Vulnerability Score with MLP Regressor.mp4
MP4
142.1 MB
1 - Testing Machine Learning Model in Real Time Simulation.mp4
MP4
133.5 MB
1 - Tools, IDE, and Datasets.mp4
MP4
66.3 MB
1 - Uploading Dataset to Google Colab IDE.mp4
MP4
34.2 MB
1 - UserBehaviourAnalytics.csv
CSV
5.8 KB
1 - analyzinguserbehaviourwithunsupervisedmachinelearning.py
PY
1.4 KB
1 - buildingintrusiondetectionmodelwithlogisticregression.py
PY
2.7 KB
1 - buildingintrusiondetectionmodelwithrandomforestclassifier.py
PY
2.6 KB
1 - cleaningcybersecuritydataset.py
PY
819.2 B
1 - detectingcyberthreatwithknn.py
PY
1.8 KB
1 - detectingcyberthreatwithxgboost.py
PY
2 KB
1 - detectingphishingemailwithnlp.py
PY
1.5 KB
1 - exploratorydataanalysiscybersecurity.py
PY
1.8 KB
1 - featureselectionwithrandomforest.py
PY
1.9 KB
1 - predictingvulnerabilityscorewithdecisiontreeregressor.py
PY
2.1 KB
1 - predictingvulnerabilityscorewithmlpregressor.py
PY
2.2 KB
1 - testingmachinelearningmodelinrealtimesimulation.py
PY
3.2 KB
2 - Machine Learning and NLP for Cyber Security.pptx
PPTX
2.2 MB
2 - Table of Contents.mp4
MP4
51.3 MB
3 - Whom This Course is Intended for.mp4
MP4
36.5 MB
Bonus Resources.txt
TXT
102.4 B
Get Bonus Downloads Here.url
URL
204.8 B

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