Pinned Repositories
course_env
Environemnt for course: practical machine learning
dw-cracow-project
DataWorkshop Cracow group project
dw-cracow-project-DO-NOT-USE
DataWorkshop Cracow group project
dw-olsztyn-project
DataWorkshop Olsztyn group project
dw-warsaw-project
gcloud_setup
Setup Google Cloud
webinar-jupyter
Introduction to python, jupyter, numpy
webinar-pandas
webinar-titanic
xgboost
Tutorial how to use xgboost
DataWorkshop's Repositories
dataworkshop/xgboost
Tutorial how to use xgboost
dataworkshop/titanic
Titanic: Machine Learning from Disaster
dataworkshop/pandas_exercises
Practice your pandas skills!
dataworkshop/visualization
Data Workshop #5 - focus on visualization
dataworkshop/bike_sharing_demand
Bike Sharing Demand
dataworkshop/amazon_setup
Simple Setup instance(s) on Amazon
dataworkshop/data-science-ipython-notebooks
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
dataworkshop/machine-learning-for-software-engineers
A complete daily plan for studying to become a machine learning engineer.
dataworkshop/tensorflow-tutorial
Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE
dataworkshop/deep-learning-keras-euroscipy2016
# Deep Learning with Keras
dataworkshop/model_evaluation
Evaluating Machine Learning Models
dataworkshop/painters
Winning solution for the Kaggle competition Painter by Numbers