Topic: elkan Goto Github

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akashjborah97 / machine-learning-job-market-segmentation-analysis
elkan,Target: To analyze the ML joB market in India using Segmentation analysis for finding companies probable of hiring an ML Engineer/Data Analyst in respect to his/her skillset. Techniques and Algorithms used: Machine learning using python with libraries(numpy, pandas, scikit-learn, matplotlib) , elbow method, stability based structure analysis, k means clustering. In this project, we took a dataset form the website naukri.com analysed the skills and companies and using clustering algorithm we performed segmentation. Results : As Segmentation analysis is an important step before we embark on any plan. Hence it is important to learn how to analyze the job market and the demanded skills by the company. By analyzing the trend, we have observed cluster 0 contains companies which are inclined towards hiring people with Python skills on Data Science and Machine Learning. Cluster 1 contains companies which are likely to hire people with skills are not oriented towards Data Analysis. Cluster 2 contains companies which are inclined towards hiring people with Python and R skills on Data Science. Cluster 3 contains companies which are inclined towards hiring people with Python skills on Machine Learning. Cluster 4 contains companies which are likely to hire people with skills are not oriented towards Data Analysis. Cluster 5 contains companies which are likely to hire people with skills of Python, Machine Learning and minimal Data Science. The most demanded skills for the recruiters are Python, Data Science, Machine Learning and other IT skills. For the company’s analysis based on experience demanded, it was observed that Wipro, HiringSign, Global Logic and Gojek etc. didn’t appear in top numbers before the segmentation and appeared after the segmentation was carried out for the minimum, average and maximum experience data.
User: akashjborah97
clustering data-science elkan kmeans-clustering machine-learning python

arjunsk / kmeans
elkan,Go library implementing Kmeans++ and Elkan's Kmeans algorithm
User: arjunsk
centroid clustering elkan kmeans kmeans-plus-plus