• Welcome to Kaggle Data Notes! From t-SNE to Sex and the City: Enjoy these new, intriguing, and overlooked datasets and kernels   1. 📚 What is the Secret of Academic Success? (link) 2. 🇰Analyse Your Kaggle Profile!! (link) 3. 🇨🇳 Chinese News WordCloud EDA (link) 4. 🥒 t-SNE: Amazon Fine Food Reviews (link) 5. 👔 Clustering FMNIST w/ Neural Networks (link) 6. 😓 IBM Attrition Analysis and Prediction (link) 7. 🌎 Geospatial Analysis of Brazilian E-Commerce (link) 8. 🚛 Dataset: ...
  • Welcome to Kaggle Data Notes! Honey bees, handwashing, and cancer: Enjoy these new, intriguing, and overlooked datasets and kernels   1. 🐝 Honey Bee Health Detection with CNN (link) 2. ⭐ Predicting Star, Galaxy & Quasar with SVM (link) 3. 🎥 Getting Started with a Movie Recommendation System (link) 4. 🧙 Analyzing The Lord of the Rings Dataset (link) 5. 🖐 Dr. Semmelweis Handwashing Survey (link) 6. 👨‍💻 Deep Learning Frameworks 2018 (link) 7. 🦆 Kaggle Trends 2018 (link) 8. 💉 Dataset: Skin Cancer MNIST (link) 9. 🏥 ...
  • Welcome to Kaggle Data Notes! Autoencoders, convolutions, and predicting Google's stock price: Enjoy these new, intriguing, and overlooked datasets and kernels   1. 🤖 How Autoencoders Work: Intro and Use Cases (link) 2. 🕋 3D Convolutions: Understanding and Implementation (link) 3. 🕑 Hourly Time Series Forecasting with Prophet (link) 4. 📈 Google Stock Price Prediction - RNN (link) 5. #️⃣ Extract Entities From Social Media Posts (link) 6. 🎮 Video Games Report IGN - Visualization & Analysis (link) 7. 🚲 A Brief Tour of Tour de ...
  • Have you ever sat down with the code and data for an existing machine learning project, trained the same model, checked your results… and found that they were different from the original results? Not being able to reproduce someone else’s results is super frustrating. Not being able to reproduce your own results is frustrating and embarrassing. And tracking down the exact reason that you aren’t able to reproduce results can take ages; it took me a solid week to reproduce ...
  • What does it take to get almost to the top? Meet Pei-Lien Chou, the worthy runner-up in our recent MLTrack Particle Tracking Challenge. We invited him to tell us about how he placed so well in this challenge. In this contest, Kagglers were challenged to build an algorithm that would quickly reconstruct particle tracks from 3D points left in the silicon detectors. This was part one of a two-phase challenge. In the accuracy phase, which ran from May to August ...
  • Welcome to Kaggle Data Notes! Statistical Analyses, Mixed Models, and Second Dates: Enjoy these new, intriguing, and overlooked datasets and kernels.   1. 💑 The Secret to Getting the Second Date (link) 2. 📊 Statistical Analysis || A Frequentist Approach (link) 3. 👀 Deep Clustering for Unsupervised Learning Of Visual Features (link) 4. 🚀 Steganography: Hiding Star Wars Scripts in Images (link) 5. 😩 What's the Relation Between Twitter and Mood? (link) 6. ⛹🏾 NBA Player of the Week… He’s on Fire!!! (link) 7. 🤹🏼 Mixed Models ...
  • Welcome to Kaggle Data Notes! ARIMA, Syria, and mapping The Cure: Enjoy these new, intriguing, and overlooked datasets and kernels.   1. 💦 Did Drought Cause the War in Syria? (link) 2.📈 Time Series for Beginners with ARIMA (link) 3.🤔 Understand ARIMA and Tune P, D, Q (link) 4.💵 A Hitchhiker's Guide to Lending Club Loan Data (link) 5.🦁 Yellowbrick — Regression Visualizer Examples (link) 6.💉 (Bio)statistics in R: Part #3 (link) 7.🤘 EDA - The Cure Discography (link) 8.🧠 Dataset: ...
  • Originally published: Towards Data Science by William Koehrsen. Learning the Kaggle Environment and an Introductory Notebook In the field of data science, there are almost too many resources available: from Datacamp to Udacity to KDnuggets, there are thousands of places online to learn about data science. However, if you are someone who likes to jump in and learn by doing, Kaggle might be the single best location for expanding your skills through hands-on data science projects. While it originally was known as ...
  • Welcome to Kaggle Data Notes! Enjoy these new, intriguing, and overlooked datasets and kernels. 1. 🤬 From Hate Speech to Russian Troll Tweets (link) 2. 🇰 Data Science Trends on Kaggle (link) 3. 👜Fashion AC-GAN with Keras (link) 4. 📈 (Bio)statistics in R: Part #2 (link) 5. 🛰 Segmenting Buildings in Satellite Images (link) 6. ⚽ World Cup 2018: The One That Nearly Came Home (link) 7. 🇯🇵 The Best "Izakaya" Restaurant in Kyoto (link) 8. 👹 Dataset: Russian Troll Tweets (link) 9. 📈 Dataset: Political Propaganda on Facebook ...