Diving into Machine Learning

Signed up for ML DataTalks.Club bootcamp and am thrilled to focus on professional development.

What will I learn?

• Linear Regression: feature engineering, categorical variables, regularization
• Classification: logistic regression, feature importance, training with scikit-learn
• Decision Trees and Ensemble Learning: gradient boosting and XGBoost
• Neural Networks and Deep Learning: CNNs, transfer learning, TensorFlow, and Keras
• Deploying Machine Learning Models: saving and loading the model, Flask, Pipenv, Docker
• Serverless Deep Learning: AWS Lambda, TensorFlow Lite, Docker
• Kubernetes and TensorFlow Serving
• KServe