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Machine Learning & Deep Learning Project

$30/hr Starting at $40

Are you Looking to build a smart, scalable, and efficient application with both classical and modern Machine Learning/Deep Learning techniques? You've come to the right place!

With extensive experience in applied and theoretical machine learning and AI, I specialize in:

  • Deep Neural Networks and their optimization
  • AI/ML/DL applications for data analytics
  • Real-time Object Detection using YOLO, SSD, VGG, Mask-RCNN, Faster-RCNN
  • k-Means Clustering and k-NN for data analysis
  • Custom Deep Learning Models: development, optimization, and training
  • Transfer Learning
  • Computer Vision & Facial Recognition: FaceNet, dlib, OpenCV, TensorFlow, PyTorch
  • NLP: LSTM, BERT
  • Support Vector Machines (SVM)
  • Principal Component Analysis (PCA)
  • Linear/Logistic Regression, Random Forest, Decision Trees, Naive Bayes

I use these tools for development:

  • R Studio(R language)
  • VS Code
  • Jupyter notebook
  • PyCharm Professional (Python)
  • Spyder
  • Google Colab

I use these Languages for development:

  • Python
  • R

My code is clean, concise, professional, and well-documented.

Lets turn your idea into reality. Consult with me to bring your project to life.

About

$30/hr Ongoing

Download Resume

Are you Looking to build a smart, scalable, and efficient application with both classical and modern Machine Learning/Deep Learning techniques? You've come to the right place!

With extensive experience in applied and theoretical machine learning and AI, I specialize in:

  • Deep Neural Networks and their optimization
  • AI/ML/DL applications for data analytics
  • Real-time Object Detection using YOLO, SSD, VGG, Mask-RCNN, Faster-RCNN
  • k-Means Clustering and k-NN for data analysis
  • Custom Deep Learning Models: development, optimization, and training
  • Transfer Learning
  • Computer Vision & Facial Recognition: FaceNet, dlib, OpenCV, TensorFlow, PyTorch
  • NLP: LSTM, BERT
  • Support Vector Machines (SVM)
  • Principal Component Analysis (PCA)
  • Linear/Logistic Regression, Random Forest, Decision Trees, Naive Bayes

I use these tools for development:

  • R Studio(R language)
  • VS Code
  • Jupyter notebook
  • PyCharm Professional (Python)
  • Spyder
  • Google Colab

I use these Languages for development:

  • Python
  • R

My code is clean, concise, professional, and well-documented.

Lets turn your idea into reality. Consult with me to bring your project to life.

Skills & Expertise

Artificial IntelligenceComputer VisionDeep LearningMachine LearningPython

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