Machine Learning, data analysis tools and techniques, Statistical Techniques

Sql, Tensorflow, Numpy, Nlp, Git, Pytorch, Pandas, Gcp, Docker, Python Programming, Azure, AWS, Computer Vision, Generative AI, LLMs, Scikit-learn

Machine Learning, Pyspark, Scala, Deep Learning, Tensorflow, XGBoost, Keras, Python, scikit-learn, MLlib, Random Forests, SVMs, Statistics

Tensorflow, Containers, Python Programming, Rest Apis, Pytorch, Flask, cloud platforms, Generative AI LLMs, ML deep learning, agent frameworks, Hugging Face, RAG concepts, Fast API

Machine Learning, Image Processing, Pattern Recognition, Computer Vision, Deep Learning, GenAI, anomaly detection, Text Processing

Pyspark, Machine Learning, Hadoop, Tableau, Sql, Data Science, Hive, Linear Regression, XGBoost, Decision Trees, Excel, Python, Powerpoint

Apis, Python, AWS, LangChain, Data privacy and governance, LLMs, Serverless architectures, Vector databases, Machine learning models, Amazon SageMaker, Logging and observability, CI CD pipelines, AI pipelines, Generative AI models, Amazon Bedrock, Model performance tracking

Machine Learning, Python, Data Analysis, R, Statistical Modeling