Jeevana Jyothi Taviti's Projects
Deploying fair, unbiased AI systems is critical to their long-term acceptance. Consider the task of facial detection: given an image, is it an image of a face? This seemingly simple, but extremely important, task is subject to significant amounts of algorithmic bias among select demographics. we'll investigate [one recently published approach](http://introtodeeplearning.com/AAAI_MitigatingAlgorithmicBias.pdf) to addressing algorithmic bias. We'll build a facial detection model that learns the *latent variables* underlying face image datasets and uses this to adaptively re-sample the training data, thus mitigating any biases that may be present in order to train a *debiased* model.
Our goal is to look at the Original answer and the student answer and note their similarities and differences and give a score or percentage
Predicting flight delay can help passengers and other stakeholders in great a way to better utilize their time or make different plans. Here a Kaggle dataset is used for such flight delay prediction (https://www.kaggle.com/divyansh22/flight-delay-prediction). The data is month of January from the Bureau of Transportation Statistics, Govt. of the USA. This dataset contains all the flights in the month of January 2019 and January 2020.
Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron
Config files for my GitHub profile.
we will explore building a Recurrent Neural Network (RNN) for music generation. We will train a model to learn the patterns in raw sheet music in ABC notation and then use this model to generate new music.
A python package for estimating conditional logit models.