Thursday, September 20, 2018

Data Notes: How Do Autoencoders Work?

Welcome to Kaggle Data Notes!

Autoencoders, convolutions, and predicting Google's stock price: Enjoy these new, intriguing, and overlooked datasets and kernels

 

1. ðŸ¤– How Autoencoders Work: Intro and Use Cases (link)

2. ðŸ•‹ 3D Convolutions: Understanding and Implementation (link)

3. ðŸ•‘ Hourly Time Series Forecasting with Prophet (link)

4. ðŸ“ˆ Google Stock Price Prediction - RNN (link)

5. #️⃣ Extract Entities From Social Media Posts (link)

6. ðŸŽ® Video Games Report IGN - Visualization & Analysis (link)

7. ðŸš² A Brief Tour of Tour de France in Numbers (link)

8. ðŸŒ½ Dataset: Soybean Prices 1962-2018 (link)

9. ðŸ“º Dataset: Top 5000 Youtube Channels (link)

10. ðŸ‘Ÿ Dataset: 5,000 #JustDoIt! Tweets (link)

 

Technique of the week

Want to understand your model’s prediction? Demystify the random forest!

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