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UdacityMLNanodegree

This Repository contains the projects which are part of Udacity Machine Learning Nanodegree.

Machine Learning is behind these innovations like how Netflix recommends the movies you’ll like or Spotify renders Discover Weekly.It represents a key evolution in the fields of computer science, data analysis, software engineering, and artificial intelligence. Since 2014, there has been a 200% Y-o-Y increase in “Data Scientist” job searches and a 50% Y-o-Y increase in job listings.

This Nanodegree program asks to apply predictive models to massive data sets in fields like finance, healthcare, education, and more.As a part of this program multiple areas of applied machine learning was thoroughly tought using lectures and hands on projects implemented using in each module as given below :

Section Project Topics Status
Exploratory Project Titanic Survival Exploration intro to numpy, scipy, matplotlib, ipython Done
Model Evaluation and Validation Predicting Boston Housing Prices data reprocessing, learning algorithms training and evaluation, grid search Done
Supervised Learning Build a Student Intervention System comparison of supervised classification learning algorithms, parameters optimization using grid search Done
Supervised Learning Finding Donors for CharityML practice and evaluate supervised learning algorithms using sklearn Done
Unsupervised Learning Creating Customer Segments data preprocessing, features PCA, data clustering, interpret clusters Done
Reinforcement Learning Train a Smartcab to Drive reenforcement learning with Q Learning algorithms Done
Deep Learning Image Classification Image classification on CIFAR 10 with Deep Neural Network and TensorFlow Done
Machine Learning Specializations Capstone Project Image Classification using CNN and Keras Done