Intro to Deep Learning project in TensorFlow 2.x and Python
Advanced implementation of regression modelling techniques like lasso regression in TensorFlow
What you'll learn
- TensorFlow 2.0
- Gradient Descent Algorithm
- Create Pipeline regression model in TensorFlow
- Lasso Regression
- Feature Selection with lasso
- Programming in TensorFlow 2.0
- Selection of Penalty factor lambda
- Visualizing graph in TensorBoard
- Neuron or Perceptron Model Architecture
- Loss or Cost Function
- TensorFlow Keras API
- Linear Regression
- Create customized model in TensorFlow
- Exploratory Data Analysis
- Data Preprocessing
- Multiple Linear Regression in TensorFlow
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