WHAT YOU WILL LEARN
 Build ML models with NumPy & scikit-learn, build & train supervised models for prediction & binary classification tasks (linear, logistic regression)
  Build & train a neural network with TensorFlow to perform multi-class classification, & build & use decision trees & tree ensemble methods
  Apply best practices for ML development & use unsupervised learning techniques for unsupervised learning including clustering & anomaly detection
  Build recommender systems with a collaborative filtering approach & a content-based deep learning method & build a deep reinforcement learning model
  SKILLS YOU WILL GAIN
 Decision Trees
 Artificial Neural Network
 Logistic Regression
 Recommender Systems
 Linear Regression
 Regularization to Avoid Overfitting
 Gradient Descent
 Supervised Learning
 Logistic Regression for Classification
 Xgboost
 Tensorflow
 Tree Ensembles
  💢💢💢💢💢💢💢💢
  Product Details: https://tinyurl.com/mscu6474
  File size: 3.7GB
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