Loops in Python for Machine Learning & AI || Python For Loop & Python While Loop | Tensorflow Lite

This is the video tutorial#09 for Ai Machine Learning Course for Android Developers using TensorFlow Lite. This course is designed and created for Android developers who want to learn Machine Learning & deploy machine learning models in their android applications using TensorFlow Lite. If you have very basic knowledge of Android App development and want to learn Machine Learning use in Android Applications this course is for you. This is an incredible ML course for Android Developers 2021. This will get you started in creating your first deep learning model || machine learning model and Android Application using both JAVA & Kotlin, Tensorflow Lite, and Android studio. We will learn about machine learning and deep learning and then we will train our first model and deploy it in android application using Android studio. In this video tutorial#09 you will learn about python loops and iterations & for loop in python & while loop in python for machine learning (data science) course. Loops in Python for Machine Learning & AI || Python For Loop & Python While Loop | Tensorflow Lite

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Handling Imbalanced Dataset in Machine Learning | Deep Learning Tutorial (TensorFlow 2.0 & Python)

In this video I am discussing various techniques to handle imbalanced dataset in machine learning. I also have a python code that demonstrates these different techniques. In the end there is an exercise for you to solve along with a solution link. Credit card fraud detection, cancer prediction, customer churn prediction are some of the examples where you might get an imbalanced dataset. Training a model on imbalanced dataset requires making certain adjustments otherwise the model will not perform as per your expectations.

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