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Machine Learning

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Description: Machine Learning code exercises in Python.

Tools: Python: Pandas, NumPy, Matplotlib, Seaborn, StatsModels, SciPy, Sklearn.

Results: Successfully generated and applied common Machine Learning models to solve real-world problems:

  • Linear/Logistic Regression
  • K-Means Clustering
  • K-Nearest Neighbors (KNN)
  • Decision Trees
  • Random Forest