Could Vector - Moozonian

GitHub Repo https://github.com/qizhiquan/NPSVM

qizhiquan/NPSVM

This is a code for nonparallel support vector machine model. You could use these code to construct classification model based on the recently proposed nonparallel support vector machine method.

GitHub Repo https://github.com/rock-data-processing/data_processing-orogen-type_to_vector

rock-data-processing/data_processing-orogen-type_to_vector

This is a base for components that could consume and process data from a arbitrary sources of arbitrary type. The structured data are converted into vectors and are buffered.

GitHub Repo https://github.com/xxl4tomxu98/vector-autoregressive-model-wage-inflations

xxl4tomxu98/vector-autoregressive-model-wage-inflations

An econometrics vector autoregression model (VAR) for analysis of multivariate time series of macroeconomics phenomena. Python Jupyter notebook based model is presented here although other packages like R statistical programming language with R Studio could also be used.

GitHub Repo https://github.com/wbleonard/atlas-vector-search-pdf

wbleonard/atlas-vector-search-pdf

An example of how Atlas Vector Search could be used to find relevant PDFs

GitHub Repo https://github.com/kitranet/Boston-Housing-Using-SVR

kitranet/Boston-Housing-Using-SVR

Example on Support Vector Regression and how the various kernels could be used

GitHub Repo https://github.com/Saurabh8272/Bug-Hunting-Methodology-and-Attack-vectors-

Saurabh8272/Bug-Hunting-Methodology-and-Attack-vectors-

As a beginner in bug Hunting i have faced a problem like if i learnt some attacks i only try those particular attacks on every targets and I thinks that is being faced by most of the beginners. This repository could help every one for us to try every attacks vectors on a particular Bug so that we could not forget every possible exploits of the Vulnerability

GitHub Repo https://github.com/alexminnaar/multivariate_newton_method

alexminnaar/multivariate_newton_method

I could not find a function for optimizing a function that took a vector input and returned a scalar value in scipy.optimize, so I have attempted to create a class that does this.

GitHub Repo https://github.com/Abdul-Rehman-Astro/SVM-Support-Vector-Machine-

Abdul-Rehman-Astro/SVM-Support-Vector-Machine-

Machine learning is an application of artificial intelligence, which allows the computer to operate in a self-learning mode, without being explicitly programmed. It is a very interesting and complex topic, which could drive the future of technology.

GitHub Repo https://github.com/evan176/TimeSeriesVectorization

evan176/TimeSeriesVectorization

Some time series vectorization methods which could give better representation for classification / clustering or other analysis.

GitHub Repo https://github.com/binoydutt/Resume-Job-Description-Matching

binoydutt/Resume-Job-Description-Matching

The purpose of this project was to defeat the current Application Tracking System used by most of the organization to filter out resumes. In order to achieve this goal I had to come up with a universal score which can help the applicant understand the current status of the match. The following steps were undertaken for this project 1) Job Descriptions were collected from Glass Door Web Site using Selenium as other scrappers failed 2) PDF resume parsing using PDF Miner 3) Creating a vector representation of each Job Description - Used word2Vec to create the vector in 300-dimensional vector space with each document represented as a list of word vectors 4) Given each word its required weights to counter few Job Description specific words to be dealt with - Used TFIDF score to get the word weights. 5) Important skill related words were given higher weights and overall mean of each Job description was obtained using the product for word vector and its TFIDF scores 6) Cosine Similarity was used get the similarities of the Job Description and the Resume 7) Various Natural Language Processing Techniques were identified to suggest on the improvements in the resume that could help increase the match score