AI & Data Science Map
Advance node by node along the path. Master Artificial Intelligence algorithms on one branch and Data Science analytics on the other.
Supervised & Unsupervised Learning, Linear Regression, Decision Trees, Classification, and Scikit-Learn.
Explore NodeData wrangling, cleaning messy datasets, Pandas DataFrames, NumPy array acceleration, and ETL logic.
Explore NodePyTorch neural net pipelines, Backpropagation math, Loss optimizers, and Convolutional Neural Networks (CNNs).
Explore NodeInteractive charts with Plotly, Matplotlib, Seaborn, Tableau dashboard design, and BI storytelling.
Explore NodeTransformers architecture, HuggingFace, LLM Fine-Tuning with PEFT/LoRA, and Retrieval-Augmented Generation (RAG).
Explore NodeStatistical inference, A/B testing experimentation, Hypothesis testing, and Time Series forecasting models.
Explore NodeOpenCV filtering, YOLOv8 real-time object detection, image segmentation, and edge AI deployment.
Explore NodePySpark big data processing, SQL warehousing, automated ETL pipelines, and scalable model deployment.
Explore Node