What's better then a rich outline 🤩
📌 Introduction to Machine Learning, Supervised Learning and Machine Learning's Classification Algorithms.
📌 Deal with some of these algorithms such as SVM , Logistic Regression , Decision Tree and K nearest neighbours.
📌 Hyperparameters tuning using Grid Search CV.
📌 Introduction to Tensorflow , Keras and Neural Networks.
📌 Build Our first Neural network architecture from scratch.
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