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Developed Machine Learning models in Python to correctly Recognize handwritten letter and face images by training and later testing the models. The machine learning algorithms developed were Support Vector Machine, K- Nearest Neighbor and Nearest Centroid Classifier.
By using deep learning models like Xception to analyze medical imaging data, we may be able to identify early signs of Alzheimer's disease before symptoms become severe. This can help healthcare providers to provide early treatment and support for patients and their families, ultimately leading to better outcomes for all involved.
This repository is an GUI application with data analysis,reports and time series analysis of real estate company and their sub companies. I have attached following insights and modules which company requires .
This programme reenacts the simple game of hangman. At first, it prints instructions for the game. Then it chooses a random word from a file filled with words. The player must guess within 15 attempts the chosen word. After he/she has completed the game, the player can choose to play again or exit.