Some projects and course exercises developed in python and jupyter notebook:
- Courses: Python Courses assignments and documentation:
- Applied Machine Learning in Python from Michigan University through Coursera.
- Introduction to Data Science in Python from Michigan Universitiy through Coursera.
- Data Science and Machine Learning with Python from Udemy platform.
- Deep Learning Specialization from Coursera:
- Foundations of Deep Learning, build neural networks understanding, and learning how to lead successful
machine learning projects.
- Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization with case
studies from healthcare, autonomous driving, sign language reading, music generation, and natural
language processing.
- Technologies: Python and TensorFlow.
- HypothesisTesting: University towns have their mean housing prices less effected by recessions. In this project we run a t-test to compare the ratio of the mean price of houses in university towns the quarter before the recession starts compared to the recession bottom. (
price_ratio=quarter_before_recession/recession_bottom) - PredictingPropertyMaintenanceFines: The goal of this project is to predict whether a given blight ticket will be paid on time.