Logistic Regression, Hadoop, k-means, Cnn, Neural Networks, Pca, Sql, Tensorflow, Hive, Pytorch, XGBoost, Arima, Decision Trees, Spark, Keras, Python, LSTM, Gradient Boosting, R, ARMA

Machine Learning, Sql, Tensorflow, Gcp, Pytorch, XGBoost, Azure, Python, AWS, LangChain, Generative AI, Vector databases, LightGBM, Model evaluation and validation frameworks, HuggingFace, Scikit-learn, MLflow, OpenAI LLM APIs, LlamaIndex

regression models , Aws Lambda, Scipy, Deep Learning, Numpy, Git, MLops, Pandas, Docker, Kubernetes, Python, ML DL model development, PPG physiological signal processing, CI CD

Machine Learning, orchestration patterns, RAG agent frameworks, LLMs, end-to-end AI architectures, data science fundamentals

Databricks, MLops, AWS, Python, Azure, Gcp, MLflow, LLMs, Vector databases, Multi-agent systems, LangChain, CrewAI, Classification, Generative AI, Regression, LangGraph, Embedding pipelines

Knn, Deep Learning, Tensorflow, Neural Networks, Pytorch, Python, Nlp, Rnn, XGBoost, Predictive Analytics, experimentation, scikit-learn, Basic Statistics, Model deployment, Gradient boosting, ANN, Model interpretability, reinforcement learning, Regression, Random forests, Model monitoring

Sql, Machine Learning, Python, experimentation, Statistics, ML libraries

apache avro , snowflake , FastAPI, Sql, Devops, Rest Apis, BigQuery, Kotlin, Gcp, Core Java, Scala, Git, Flask, Azure DevOps, Linux Os, Github, Apache Spark, AWS, Api Integration, Python, Kubernetes, Apache Kafka, Redshift, Test-Driven Development, OOP Design patterns, Enterprise System design

Keras, Tensorflow, Cnn, Machine Learning, AWS, Pytorch, Clustering, MySQL, Python, Docker, Flask, Rnn, Celery, MLFlow, uWSGI, Transformer Models, GRU, LDA, LSTM, SVD, Ensemble Learning, Transfer Learning