Choose a topic to start learning by building.
syntax, data types, control flow, functions, OOP, modules, file handling, error handling, libraries, testing, and deployment.
Supervised, unsupervised, model evaluation, deployment.
Neural nets, CNNs/RNNs, transformers, training tips.
Detection, tracking, segmentation, OCR projects.
Pandas, NumPy, visualization, statistics.
Queries, joins, window functions, best practices.
HDFS, MapReduce, Hive commands with examples.
PySpark, DataFrames, MLlib on real datasets.
APIs, CRUD apps, auth, and deployment.
MVT, admin, DRF basics, production checklists.
Dashboards, DAX, data modeling & storytelling.
Branching, pull requests, team workflows.
Hands-on build guides for students & beginners.