Machine Learning & Data Skills
Python
scikit-learn
NumPy
pandas
matplotlib
Jupyter Notebooks
Logistic Regression
Decision Trees
K-Means Clustering
Support Vector Machines
Dimensionality Reduction (PCA)
EDA
Cross-validation
Vector Databases
Train/Test Split
Feature Engineering
One-Hot Encoding
Label Encoding
Model Evaluation Metrics (Accuracy, Precision, Recall, F1)
Confusion Matrix
Bias-Variance Tradeoff
Hyperparameter Tuning
Pipeline Building
Data Normalization/Standardization
Agent Architectures (ReAct)
Agent Memory & Context Management
Tool Integration for Agents
Planning & Reasoning
Reflection & Self-Evaluation
Retrieval-Augmented Generation (RAG)
Click a skill to see a brief description.
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