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AppliedAICourse

Notes from appliedaicourse https://www.appliedaicourse.com/

Topics

  • Exploratory Data Analysis
  • Probability
  • Linear Algebra
  • Dimensionality Reduction
  • Feature Engineering - NLP
  • Feature Engineering - other techniques
  • Classification & Regression Problems
  • Model Perfomance
  • KNearestNeighbours
  • Logistic Regression
  • Linear Regression
  • Naive Bayes
  • Optimization Algos
  • Support Vector Machines
  • Decision Trees
  • Ensemble Models
  • K-Means Clustering
  • Hierarchial Clustering
  • DBSCAN
  • Recommender Systems
  • Deep Learning Neural Nets
  • Deep Learning Multi Layer Perceptrons
  • Deep Learning Convolution Neural Nets
  • Deep Learning Long Short Term Memory

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  • Jupyter Notebook 99.9%
  • Python 0.1%