Neural Network Engineers de angajat

  • Neural Networks
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  • Angajează-l pe aki003iitr
    3.1
    1 părere $36 USD pe oră
    , Random Forest, GBM, KNN, SVM,Naive Bayes,862cd9ab77Neural673a90cce0 862cd9ab77Networks673a90cce0, Natural Language Processing, Image processing, Recommender Systems, - Web Scraping. Libraries in python known :Tensorflow, pandas, scikit learn,nltk, numpy matplotlib,scrapy, beautifulsoup,
    I am a data scientist with a degree in engineering . I have more than 4 years of professional experience in creating complex predictive and analytical models using advanced machine learning techniques Skill set: - Proficient in R, Python, SQL,Matlab ,VBA , R-shiny,Tableau - Statistical techniques: Predictive Modeling techniques such Linear, Logistic Regression,Time Series,Decision trees, Random Forest, GBM, KNN, SVM,Naive Bayes,Neural Networks, Natural Language Processing, Image processing, Recommender Systems, - Web Scraping. Libraries in python known :Tensorflow, pandas, scikit learn,nltk, numpy matplotlib,scrapy, beautifulsoup, mai puțin
  • Angajează-l pe vw2017655vw
    1.1
    1 părere $25 USD pe oră
    Machine learning engineer with fundamentals in machine learning algorithms (862cd9ab77neural673a90cce0 862cd9ab77networks673a90cce0, dimensionality reduction, feature utilization and extraction, and clustering), programming (Python, R
    Machine learning engineer with fundamentals in machine learning algorithms (neural networks, dimensionality reduction, feature utilization and extraction, and clustering), programming (Python, R, Java), statistics, mathematics, and computer vision. Backed with 15+ years of experience in development and implemenation of high loaded, complex systems and machine-learning concepts (3+ years). Working with data including data gathering, understanding it, cleaning, normalizing and extracting in a usable format.Skillset & Expertise: * Background in deep learning, machine learning, natural language processing * ML frameworks: Tensorflow, Keras, PyTorch * Python: Scikit-Learn, Pandas, Scipy, Numpy,Matplotlib, Seaborn, XGBoost, StatsModels * R: caret, ggplot, Ggally, gridExtra, data.table, dplyr, reshape, rmarkdown * Statistical Analysis: hypothesis testing, z-test, t-test, ANOVA, chi-squared test * Fintech knowledge (in progress) * Experience with Big Data environment * SQL * Data Mining mai puțin

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