Udacity-Machine-Learning-Engineer-Nanodegree

Notes Exercises and Assignments for Udacity Machine Learning Engineer Nanodegree

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Courses In the Nanodegree & Solutions for Exercises and Assignments :

Machine Learning Basics

• Coursework - GridSearch

• Coursework - Bayesian_Inference

• Coursework - Decision Tree

• Coursework - Linear Regression

• Coursework - SVM

• Coursework - Titanic Survival Exploration

• Project - CharityML - Finding Donors || Project Review

• Mini-Project - K-Mean Clustering

• Coursework - Hierarchical Clustering

• Coursework - DBSCAN Clustering

• Coursework - GMM Clustering and Cluster Validation

• Mini-Project - PCA - Faces recognition example using eigenfaces and SVMs

• Coursework - ICA

• Project - Creating Customer Segments || Project Review

Machine Learning Advanced

• Coursework - Gradient Descent

• Coursework - XOR using Neural Network

• Coursework - Predicting Student's Admission Status

• Coursework - Sentiment analysis of IMDB data using Keras

• Coursework - NN to recognize digits from MNIST dataset

• Coursework - Convolutional Neural Networks

• Coursework - Classifying CIFAR-10 dataset using MLP

• Coursework - Classifying CIFAR-10 dataset using CNN

• Coursework - Classifying CIFAR-10 dataset with augmented data using CNN

• Coursework - Classifying CIFAR-10 dataset with augmented data using CNN

• Mini-Project - Visually diagnose skin cancer

• Project - NN models for classification for classification of Dog Breeds || Project Review

• Coursework - Dynamic Programing towards building Reinforcement Learning Models