All projects and lecture notes of the Udacity Machine Learning Engineer Nanodegree.
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Updated
Aug 17, 2018 - Jupyter Notebook
All projects and lecture notes of the Udacity Machine Learning Engineer Nanodegree.
➿ 💡 My Udacity projects that I have made to improve my skills and complete my nanodegree. Please don't use it to copy the projects. Submit the PR if you want something to be added to this repository.
This repo includes all the projects I have finished in the Udacity Nanodegree programs
Recognizing human activities using Deep Learning
An AWS Sagemaker Model developed for Nudity / NSFW Images Classification. This Model was developed during my Machine Learning Engineer Nanodegree.
A collection of projects which explore image classification on chest x-ray images (via the NIH dataset)
Android camera app for automatic recognition of German license plates using TensorFlow / TensorFlow Lite 2.4.1
Adaptive foreground-background segmentation using Gaussian Mixture Models (GMMs)
Handwritten Telugu Character Recognition using Convolutional Neural Networks
Udacity Machine Learning Nano degree Program Project Predicting Passenger Survival
Notes Exercises and Assignments for Udacity Machine Learning Engineer Nanodegree
The project provides a complete end-to-end workflow for building a binary classifier in Python to recognize the risk of housing loan default. It includes methods like automated feature engineering for connecting relational databases, comparison of different classifiers on imbalanced data, and hyperparameter tuning using Bayesian optimization.
ISIC 2019 - Skin Lesion Analysis Towards Melanoma Detection
Projects I implemented to finish Udacity Nanodegree Programs from Data Engineering to Machine Learning Engineering.
Investigating Dataset contains information about 10,000+ movies collected from The Movie Database (TMDb)
Investigated factors affecting likelihood of donations being made using real census data. Developed naive classifier to compare testing results. Trained & tested several supervised machine learning models on preprocessed census data to predict donation likelihood. Selected best model based on accuracy, modified F-score metric, & algo efficiency.
Machine Learning Engineer - Capstone Project - Development of a recommendation system to send offers via direct marketing
This project explores a deep reinforcement learning technique to train an agent to play atari pong game from OpenAI Gym. OpenAI Gym is a toolkit to develop and compare reinforcement learning algorithms. The learning agent takes raw pixels from the atari emulator and predicts an action that is fed back into the emulator via OpenAI interface. The …
Capstone Project Gold Price Prediction using Machine learning Approach for Udacity Machine Learning engineer Nanodegree Program
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