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Machine Learning, Data Science and Generative AI with Python

What you’ll learn

  • Build generative AI systems with OpenAI, RAG, and LLM Agents
  • Build artificial neural networks with Tensorflow and Keras
  • Implement machine learning at massive scale with Apache Spark’s MLLib
  • Classify images, data, and sentiments using deep learning
  • Make predictions using linear regression, polynomial regression, and multivariate regression
  • Data Visualization with MatPlotLib and Seaborn
  • Understand reinforcement learning – and how to build a Pac-Man bot
  • Classify data using K-Means clustering, Support Vector Machines (SVM), KNN, Decision Trees, Naive Bayes, and PCA
  • Use train/test and K-Fold cross validation to choose and tune your models
  • Build a movie recommender system using item-

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Chelsea Flynn, Founder
Master Life & Transformation Coach
Chelsea Flynn Coaching

  • transform@chelseaflynncoaching.com

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