probability , Logistic Regression, Data Structures, Data Cleansing, Sql, Random Forest, Numpy, Algorithms, Pandas, XGBoost, Linear Regression, Machine Learning Algorithms, Python, Train-test strategies, Transformation, Feature Engineering, Scikit-learn, Statistics, Gradient Boosting, Hyperparameter Tuning, Cross-validation, Model Validation Techniques, Tree-based models

Sql, Git, Docker, Rest Apis, Kubernetes, Python, DevOps practices, NoSQL databases, machine learning fundamentals, microservices architecture, MLOps tools, ETL workflows, data warehousing technologies

object detection , Numpy, Computer Vision, Pandas, Image Processing, Python, Scikit-learn, Image classification

Tensorflow, Spark, Kafka, Machine Learning, MLops, Deep Learning, Pytorch, Kubernetes, Python, XGBoost, Docker, Nlp, scikit-learn, ONNX, Airflow, MLflow, AI model optimization, anomaly detection, time series forecasting, Cv, Recommendation systems, TensorFlow Serving