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Overview
A Deep Dive into Building Machine Learning and Deep Learning models What you'll learn: Develop complete machine learning/deep learning solutions in PythonWrite and test Python code interactively using Jupyter notebooksBuild, train, and test deep learning models using the popular Tensorflow 2 and Keras APIsNeural network fundamentals by building models from the ground up using only basic PythonManipulate multidimensional data using NumPyLoad and transform structured data using PandasBuild high quality, eye catching visualizations with MatplotlibReduce training time using free Google...
Syllabus
- Course Structure and Development Environment
- Python Quick Start
- Example: Logistic Regression
- Foundations: NumPy
- Foundations: Tensorflow
- Example: Image recognition
- Foundations: Pandas
- Example: Recommendations
- Example: Sentiment Analysis
- Example: Fraud detection
Instructor
Madhu Siddalingaiah
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