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Engineering & Architecture Math / Science / Algorithms

AI Develoepr | AI Researcher | ML Expert

$10/hr Starting at $40

Data Scientist Expertise:

  • Exploratory Data Analysis using histograms, scatter plots, and statistics.
  • Statistical Analysis for hypotheses testing and variable relationships.
  • Feature Engineering to enhance model performance.
  • Data Preprocessing for data readiness.
  • Time Series Forecasting with ARIMA, Prophet.

‍ Deep Learning Skills:

  • CNN: AlexNet to DenseNet for image tasks.
  • Object Detection: F-RCNN, YOLO.
  • Instance Segmentation: Mask RCNN.
  • GANs for data generation.
  • 3D Detection with Stereo Vision.

‍ Machine Learning Proficiency:

  • Clustering: KNN, K-MEAN, DBSCAN.
  • Predictive Modeling: Regression, Trees, SVM.
  • Visualization: Matplotlib, Seaborn.

‍ NLP Capabilities:

  • Sentiment Analysis, RNNs, LSTMs,.
  • Content Analysis with Bert, transformers, GPT-2 and LayoutLMV,2,3.
  • Use of LangChain and OpenAI tools.

Libraries/Frameworks:

  • numpy, pandas, scikit-learn, TensorFlow, Keras, pytorch, statsmodels, nltk, OpenCV, Detectron2, Dlib.

️ Tools:

  • Jupyter, Colab, Docker, SageMaker, AWS, Git, GitHub.

Languages:

  • Python, JavaScript.

About

$10/hr Ongoing

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Data Scientist Expertise:

  • Exploratory Data Analysis using histograms, scatter plots, and statistics.
  • Statistical Analysis for hypotheses testing and variable relationships.
  • Feature Engineering to enhance model performance.
  • Data Preprocessing for data readiness.
  • Time Series Forecasting with ARIMA, Prophet.

‍ Deep Learning Skills:

  • CNN: AlexNet to DenseNet for image tasks.
  • Object Detection: F-RCNN, YOLO.
  • Instance Segmentation: Mask RCNN.
  • GANs for data generation.
  • 3D Detection with Stereo Vision.

‍ Machine Learning Proficiency:

  • Clustering: KNN, K-MEAN, DBSCAN.
  • Predictive Modeling: Regression, Trees, SVM.
  • Visualization: Matplotlib, Seaborn.

‍ NLP Capabilities:

  • Sentiment Analysis, RNNs, LSTMs,.
  • Content Analysis with Bert, transformers, GPT-2 and LayoutLMV,2,3.
  • Use of LangChain and OpenAI tools.

Libraries/Frameworks:

  • numpy, pandas, scikit-learn, TensorFlow, Keras, pytorch, statsmodels, nltk, OpenCV, Detectron2, Dlib.

️ Tools:

  • Jupyter, Colab, Docker, SageMaker, AWS, Git, GitHub.

Languages:

  • Python, JavaScript.

Skills & Expertise

AI ChatbotAnalyticsArtificial IntelligenceData AnalyticsData ScienceDeep LearningDeep Neural NetworkEngineeringMachine LearningMATLABModelingNatural Language ProcessingResearchStatistical Analysis

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