pragyamis Goto Github PK

anomalydetection

Anomaly detection is a technique used to identify unusual patterns that do not conform to expected behavior, called outliers

appliedstats

:bar_chart: Methods of Applied Statistics Course Textbook Repository

awesome-d3

A list of D3 libraries, plugins and utilities

awesome-deep-learning-papers

The most cited deep learning papers

azure-training-course

azureml-bert

End-to-end recipes for pre-training and fine-tuning BERT using Azure Machine Learning service

categorizephotoorientation

Build a deep learning model that distinguishes which photos are sideways and which are upright.

coding-interview-university

A complete computer science study plan to become a software engineer.

computerscience

Free technical resources for faculty, students, and Microsoft developer advocates for use in computer science learning forums.

contextawareclustering

Context Aware Clustering using Glove and K-Mean Clustering algorithm

data-exploration-and-feature-selection

data-science--cheat-sheet

Cheat Sheets

datacleaningproject_farmermarket

This data cleaning project will aim cleaning U.S. Farmer Markets dataset publicly available at USFarmersMarkets(https://www.ams.usda.gov/local-food-directories/farmersmarkets).

deep-semantic-similarity-model

My Keras implementation of the Deep Semantic Similarity Model (DSSM)/Convolutional Latent Semantic Model (CLSM) described here: http://research.microsoft.com/pubs/226585/cikm2014_cdssm_final.pdf.

deeplearning_predictbitcoinprices

Predict bitcoing proces using deep learning

dimensionalityreductiontechniques

Dimension Reduction refers to the process of converting a set of data having vast dimensions into data with lesser dimensions ensuring that it conveys similar information concisely.

financialdocumenttopicmodelling

10 K Financial Document Topic Modelling using Gensim

flights-delay-d3-visualization

github.io

june2019microsoftbootcamp

machine-learning

machine-learning-operationalization

Deploying machine learning models to Azure

machine-learning-tutorials

machine learning and deep learning tutorials, articles and other resources

math-of-machine-learning-course-by-siraj

Implements common machine learning algorithms from scratch in python. Intuition and theory behind the algorithms is also discussed.

mmlspark

Microsoft Machine Learning for Apache Spark

nimbusml-samples

Samples for NimbusML, a Python machine learning package providing simple interoperability between ML.NET and scikit-learn components.

person_reid_baseline_pytorch

Pytorch implement of Person re-identification baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial

predicthousepricing

Regression:PredictHousePricing

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

question_answering_on_squad

Pytorch Implementation of Dynamic Co-attention Networks(DCN+) for Question Answering on SQuAD2.0