Master skills the hands-on way β build real projects in Python, ML/DL, CV, SQL, Big Data, and more. Clear, beginner-friendly guides written for students and aspiring engineers.
Curated lessons, examples, and projects to get you job-ready.
Curated lessons, examples, and projects to get you job-ready.
From basics to deployment β clear, code-first guides.
Neural nets, CNNs, RNNs, transformers, and more.
Image processing, detection, tracking, segmentation.
Pandas, NumPy, visualization, statistics.
Practical queries and data-analysis patterns.
HDFS, MapReduce, Hive, and best-practice commands.
PySpark, DataFrames, MLlib with real datasets.
APIs, CRUD apps, auth, and deployment.
MVT, admin, DRF basics, and production tips.
Dashboards, DAX, data modeling.
Branching, pull requests, and team workflows.
Key syntax, data types, functions, files.
π PandasIndexing, grouping, joins, common transforms.
π NumPyArrays, broadcasting, vectorization, linalg.
π MatplotlibFigures, axes, annotations, export basics.
π SQLSELECT patterns, joins, windows, CTEs.
π GitEveryday commands, branching, PR workflows.