salwaar

salwaar's Stars

• miriskalt/AnomalyDetectionAutoencoder

  Language:Python6

• PacktPublishing/Machine-Learning-with-Apache-Spark-Quick-Start-Guide

  Machine Learning with Apache Spark Quick Start Guide, published by Packy

  Language:Jupyter Notebook1712

• BLarzalere/LSTM-Autoencoder-for-Anomaly-Detection

  AI deep learning neural network for anomaly detection using Python, Keras and TensorFlow

  Language:Jupyter Notebook18273

• tensorflow/ecosystem

  Integration of TensorFlow with other open-source frameworks

  Language:Scala1.4k392

• Rajshekar-2021/Outlier-Detection-PYSPARK

  This repository shows, how to identify and remove the outliers using Pyspark

  Language:Jupyter Notebook12

• MingChen0919/learning-apache-spark

  Notes on Apache Spark (pyspark)

  Language:HTML289188

• ptyadana/SQL-Data-Analysis-and-Visualization-Projects

  SQL data analysis & visualization projects using MySQL, PostgreSQL, SQLite, Tableau, Apache Spark and pySpark.

  Language:Jupyter Notebook1.2k494

• aws-samples/amazon-textract-and-amazon-comprehend-medical-claims-example

  Extract, Validate and Visualize medical claims with Amazon Textract and Comprehend Medical

  Language:Python1713

• danielajisafe/End-to-End-Machine-Learning-Project

  Discovering and visualizing the data to gain insights,preparing it for Machine Learning algorithms and selecting a model to train

  Language:Jupyter Notebook45

• kadhirash/Master-the-Coding-Interview--Data-Structures---Algorithms

  Python implementations of the Udemy course by Andrei Neagoie

  Language:Python122

• dair-ai/ML-YouTube-Courses

  📺 Discover the latest machine learning / AI courses on YouTube.

  14.6k1.8k

• BitPunchZ/Leetcode-in-python-50-Algorithms-Coding-Interview-Questions

  Implementation of the coding interview questions for the "Leetcode in python 50 Algorithms Coding Interview Questions" Course on udemy

  Language:Python149131

• jpfonseca84/BookR

  The Book of R Exercises and Answers

  Language:R1514

• sportingCode/SWIMmeR

  R version of SWIM (SWItchMiner) - a computational tool to unveiling crucial nodes in complex biological networks

  Language:R73

• telmo-correa/all-of-statistics

  Self-study on Larry Wasserman's "All of Statistics"

  Language:Jupyter Notebook908267

• stefmolin/Hands-On-Data-Analysis-with-Pandas

  Materials for following along with Hands-On Data Analysis with Pandas.

  Language:Jupyter Notebook409808

• stefmolin/Hands-On-Data-Analysis-with-Pandas-2nd-edition

  Materials for following along with Hands-On Data Analysis with Pandas – Second Edition

  Language:Jupyter Notebook5621.4k

• PacktPublishing/Modern-Computer-Vision-with-PyTorch

  Modern Computer Vision with PyTorch, published by Packt

  Language:Jupyter Notebook645304

• jayelm/hoff-bayesian-statistics

  R Markdown notes for Peter D. Hoff, "A First Course in Bayesian Statistical Methods"

  Language:HTML11991

• loettz/interview-process-survival

  :rainbow: :unicorn: this repository is a interview process guide for developers (web/frontend focused)

  61860

• DataTalksClub/machine-learning-zoomcamp

  Learn ML engineering for free in 4 months!

  Language:Jupyter Notebook8.6k2k

• DataTalksClub/data-engineering-zoomcamp

  Free Data Engineering course!

  Language:Jupyter Notebook23.9k5.1k

• mrdbourke/tensorflow-deep-learning

  All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

  Language:Jupyter Notebook5.1k2.5k

• tyeso/Image_Classification_with_CoAtNet_and_ResNet18

  Language:Jupyter Notebook208

• SowmyaGadamsetty/Malware_Classification_cnn

  Language:Python1

• honuonhval/malware-classification-repro

  Verifying reproducibility of malware classification with cnn paper

  Language:Jupyter Notebook3

• OmerFarukKurklu/cnn-malware-classification

  Classifying malware families by converting their binaries to images and then applying Convolutional Neural Network solutions.

  Language:Jupyter Notebook131

• xvshiting/MFC-CNN

  A malware family classification model based on CNN

  Language:Python2312

• danielgibert/mlw_classification_hydra

  Language:Assembly2711

• pratikpv/malware_detect2

  Malware Classification using Machine learning

  Language:Python6813