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Classification service for trainee dermatologists to help diagnose skin diseases using a simple web app programmed in Python-3.

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Building a recommender system using data science techniques.

Developing a model for early detection of liver cancer using data analysis.

Building an image classifier to identify malaria and breast cancer from images.

Developing an image classifier web app using Keras and Flask for deployment.

Building regression models to predict stock prices using Python.

Creating a logistic regression model to detect fraudulent transactions using Scikit-learn and Kaggle dataset.

Building an automated diagnosis model using image classification techniques.

Developing a web app for predicting skin diseases based on image classification.

Using Tensorflow and Keras to generate fashion images using GANs on Fashion MINIST dataset.

Implementing a neural network using NumPy to classify plant images into different classes.

Creating a helpdesk agent using Dialog Flow and BigQuery for customer support.