Network-Intrusion-Detection-Using-Machine-Learning VS data-science-ipython-notebooks

Compare Network-Intrusion-Detection-Using-Machine-Learning vs data-science-ipython-notebooks and see what are their differences.

Network-Intrusion-Detection-Using-Machine-Learning

A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach (by abhinav-bhardwaj)
Machine Learning Deep Learning nsl-kdd autoencoder svm-classifier mlp-classifier Data Science Pandas Keras statistical-analysis Cybersecurity lstm-model cnn-keras Network network-security Classification supervised-learning intrusion-detection-system
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data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. (by donnemartin)
Python Machine Learning Deep Learning Data Science Big Data AWS Tensorflow Theano Caffe scikit-learn Kaggle Spark MapReduce Hadoop Matplotlib Pandas Numpy Scipy Keras
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Network-Intrusion-Detection-Using-Machine-Learning data-science-ipython-notebooks
1 1
97 26,459
- -
1.8 0.0
over 2 years ago about 1 month ago
Jupyter Notebook Python
GNU General Public License v3.0 only GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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Network-Intrusion-Detection-Using-Machine-Learning

Posts with mentions or reviews of Network-Intrusion-Detection-Using-Machine-Learning. We have used some of these posts to build our list of alternatives and similar projects.

data-science-ipython-notebooks

Posts with mentions or reviews of data-science-ipython-notebooks. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2020-12-27.

What are some alternatives?

When comparing Network-Intrusion-Detection-Using-Machine-Learning and data-science-ipython-notebooks you can also consider the following projects:

imodels - Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

manjaro-linux - Shell scripts for setting up Manjaro Linux for Python programming and deep learning

AlphaPy - Python AutoML for Trading Systems and Sports Betting

BirdNET - Soundscape analysis with BirdNET.

ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

fugue - A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.

One-Piece-Image-Classifier - A quick image classifier trained with manually selected One Piece images.

kmodes - Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data

TensorFlow2.0_Notebooks - Implementation of a series of Neural Network architectures in TensorFow 2.0

sports-betting - Collection of sports betting AI tools.

Food-Recipe-CNN - food image to recipe with deep convolutional neural networks.

PMapper - A tool for quickly evaluating IAM permissions in AWS.

Network-Intrusion-Detection-Using-Machine-Learning vs imodels data-science-ipython-notebooks vs manjaro-linux Network-Intrusion-Detection-Using-Machine-Learning vs AlphaPy data-science-ipython-notebooks vs BirdNET Network-Intrusion-Detection-Using-Machine-Learning vs ydata-profiling data-science-ipython-notebooks vs fugue Network-Intrusion-Detection-Using-Machine-Learning vs One-Piece-Image-Classifier data-science-ipython-notebooks vs kmodes Network-Intrusion-Detection-Using-Machine-Learning vs TensorFlow2.0_Notebooks data-science-ipython-notebooks vs sports-betting Network-Intrusion-Detection-Using-Machine-Learning vs Food-Recipe-CNN data-science-ipython-notebooks vs PMapper