Repo: https://github.com/kaggledecal/sp17 Before working, make sure you run `git pull` in your local copy of the Kaggle Decal repo! If you haven't clone the repo yet, run this in terminal: `git clone https://github.com/kaggledecal/sp17.git`
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04/19/17 Data Science for Kaggle Decal Lecture 19: Image Captioning with TensorFlow
04/17/17 Data Science for Kaggle Decal Lecture 18: Unsupervised Learning
04/12/17 Data Science for Kaggle Decal Lecture 17: Recurrent Neural Networks
03/15/17 Data Science for Kaggle Decal Lecture 11: Decision Trees
04/05/17 Data Science for Kaggle Decal Lecture 15: Learning How Neural Networks Learn
04/10/17 Data Science for Kaggle Decal Lecture 16: Convolutional Neural Networks + Keras
03/20/17 Data Science for Kaggle Decal Lecture 12: Random Forests
04/03/17 Data Science for Kaggle Decal Lecture 14: Intro to Neural networks
03/22/17 Data Science for Kaggle Decal Lecture 13: AWS for data science
03/13/17 Data Science for Kaggle Decal Lecture 10: K-Nearest Neighbors and Bias-Variance Tradeoff
03/08/17 Data Science for Kaggle Decal Lecture 9: K-Means and Cross-Validation
03/01/17 Data Science for Kaggle Decal Lecture 7: Logistic Regression
02/22/17 Data Science for Kaggle Decal Lecture 5: Feature Engineering
(NO AUDIO) 02/15/17 Data Science for Kaggle Decal Lecture 4: Classification and Regression
02/13/17 Data Science for Kaggle Decal Lecture 3: Data Visualization
02/08/17 Data Science for Kaggle Decal Lecture 2: Numpy and Jupyter
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Feb. 6, 2017 Kaggle Decal Lecture 1: Class logistics and setting up tools
11/30/16 Data Science with Kaggle Decal Lecture 22: Course Recap and Final Notes
11/14/16 Data Science with Kaggle Decal Lecture 19: The Neural Network Zoo
11/09/16 Data Science with Kaggle Decal Lecture 18: Keras and Convolutional Neural Networks
11/07/16 Data Science with Kaggle Decal Lecture 17: How Neural Networks Learn
11/02/16 Data Science with Kaggle Decal Lecture 16: Neural Networks