MACHINE LEARNING
Algorithms that learn from data. From linear regression to deep neural networks and beyond.
PROOF-OF-WORK TASKS6 TASKS
B
Beginner
LEVEL 01
- 01Train a linear regression model to predict housing prices using scikit-learn, then share the model accuracy and visualization graphs
- 02Create an image classification model using a pre-trained convolutional neural network, then write a post detailing the training process
I
Intermediate
LEVEL 02
- 01Build and deploy a machine learning model as a REST API using FastAPI and Docker, then post a demonstration of the API endpoints
- 02Implement an anomaly detection system on a time-series dataset and visualize the results, then share the detection methodology on LinkedIn
A
Advanced
LEVEL 03
- 01Design and train a custom transformer-based architecture for tabular data from scratch, then write a technical paper style guide
- 02Build an end-to-end ML platform with automated feature store ingestion and model drift monitoring, then publish the dashboard screenshots
YOUTUBE RESOURCES
ENGLISH
2 RESOURCESHINDI
2 RESOURCES