teijag's repositories
aws-research-workshops
This repo provides a managed SageMaker jupyter notebook with a number of notebooks for hands on workshops in data lakes, AI/ML, Batch, IoT, and Genomics.
backrow-heinz-95729-project
The course project for Heinz 95729 E-Commerce Tech, Machine Learning, Analytics, and Bots
bad-data-guide
An exhaustive reference to problems seen in real-world data along with suggestions on how to resolve them.
consumer_intention
"We have a client that has collected online shopping purchasing behavior from its customers over a 1 year period. The client would like you to build a prediction model to determine if the visit will end with an item being purchased or not. The client is also interested in any other insights you got from the data. "
hiring_analytics
predicting the success of law firm candidates
legal_text_classification
process judgement contents to predict the area of law
cs234
reinforcement learning
data
Data and code behind the articles and graphics at FiveThirtyEight
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
ml_algorithms
mini projects at CMU to explore different ML topics
OOP_java_assignment
labs and assignment for object-oriented java
pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
recommedation_system_instacart
analyze shopping behaviors, explore different ways of recommendation including fpgrowth and collaborative filtering
Spark-practice
Apache Spark (PySpark) Practice on Real Data
tdi_project
understanding the stories behind the housing market in Beijing, China. Performed EDA, data visualization with Tableau, and machine learning predicting housing prices using Random Forest Regression