FRESHERS IN PYTHON||PYTHON TRAINING AND JOB - IN INDIA
electing features, building and optimizing classifiers using machine learning techniques Data mining using state-of-the-art methods Extending company’s data with third party sources of information when needed Enhancing data collection procedures to include information that is relevant for building analytic systems Processing, cleansing, and verifying the integrity of data used for analysis Doing ad-hoc analysis and presenting results in a clear manner Creating automated anomaly detection systems and constant tracking of its performance {{Select from the above and add other responsibilities that are relevant}} Skills and Qualifications Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc {{depending on specific project requirements}}. Excellence in at least one of these is highly desirable Great communication skills Experience with data visualisation tools, such as D3.js, GGplot, etc. Proficiency in using query languages such as SQL, Hive, Pig {{actual list depends on what you are currently using in your company}} Experience with NoSQL databases, such as MongoDB, Cassandra, HBase {{depending on project needs}} Good applied statistics skills, such as distributions, statistical testing, regression, etc. Good scripting and programming skills {{if you expect that the person in this role will integrate the solution within the base application, list any programming languages and core frameworks currently being used}} Data-oriented personality
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