Are you looking to develop an intelligent, scalable, fast, and efficient application that incorporates classical and modern Machine Learning /Deep Learning technologies? This is the right place!
My Expertise Includes:
- Deep Neural Networks and their Optimization
- AI/ML/DL applications in Data Analytics
- Real-time Object Detection (YOLO/SSD/VGG/Mask-RCNN/Faster-RCNN)
- k-Means Clustering and k-NN based Data Analysis
- Custom Deep Learning Model Development, Optimization & Training
- Transfer Learning
- Natural Language Processing (NLP)
- Support Vector Machines (SVM)
- Principal Component Analysis (PCA)
- Linear/Logistic Regression, Random Forest, Decision Trees, and Naive Bayes
Libraries/Frameworks:
- numpy, pandas, scikit-learn, TensorFlow, Keras, PyTorch, statsmodels, nltk, OpenCV, Detectron2, Dlib.
Tools:
- Jupyter, Colab, Docker, SageMaker, AWS, Git, GitHub.
Languages: