Jupyter notebooks don’t change the world—deployed ML models do.

Here’s how to become unstoppable in the machine learning market

1. Learn programming, ideally Python, from variables and operators to OOP and APIs.

2. Learn basic data manipulation and feature engineering with Numpy and Pandas.

3. Explore supervised and unsupervised machine learning with algorithms like logistic regression, random forest, SVM, XGBoost 2...

4. Dive into deep learning and neural networks. Explore computer vision and NLP

5. Build machine learning pipelines with MLflow and explore the fundamentals of MLOps

6. Start working on end-to-end projects and deploying projects as REST API with Flask or FastAPI

Join for more: https://t.me/machinelearning_deeplearning