Kaggle Competition Collection Summary

The original intention of the Kaggle Competition Collection Official Account is to write many classic competition programs in the form of cases, each step is equipped with a certain explanation, telling why certain operations are effective, etc., hoping to help more novices get started Most open source only has code, the time to read the code is huge, the cost of reproduction is also very large, and many operations are not necessarily effective). So far, the kaggle contest collection has 9 kaggle cases to the silver medal, and 10+ domestic competition cases. Here are a summary of these cases and the corresponding links below, so that you can quickly find and learn.

Kaggle platform

1. Web Traffic Time Series Forecasting competition (timing issues)

• Web_Traffic_Part1 Game Analysis

• Web_traffic_Part2_EDA

• Web_traffic_Part3_Silver NN program

• WebSilver Rules Program

2. Corporación Favorita Grocery Sales Forecasting (timing issues)

• Favorite Corporation_ 赛 题 分析

• Corp_Data Exploration Analysis Part2_Univariate Data Exploration

• Corp_Data Exploration Analysis Part3_Characteristic Variables & Label Relationship Analysis

• Corp_Data Exploration Analysis Part4_Characteristic Variable & Characteristic Variable Relationship Analysis

• Corp_Baseline

• Corp_Silver Plan

3. Santander Customer Transaction Prediction (anonymous, binary classification)

• Santander Customer Transaction Prediction竞赛Part1_EDA

• Santander Customer Transaction Prediction竞赛Part2_LB:0.900

• Santander Customer Transaction Prediction Contest Part3_Magic (Silver)

• Santander Customer Transaction Prediction竞赛Part4_Top1%

• Santander Customer Transaction Prediction Contest Part5_ Solution Summary

4. Microsoft Malware Prediction (second classification, timing)

• Microsoft Malware Prediction 赛 EDA_Part1

• Microsoft Malware Prediction比赛Part2_LGBBaseline（LB:0.694）

• Microsoft Malware Prediction Contest Part3_AvSig Strong + LGB (0.701)

5. Click-Through Rate Prediction（推荐）

• Click-Through Rate Prediction: data exploration and analysis (Part1)

• Click-Through Rate Prediction：银牌（Part2）

6. Instacart Market Basket Analysis（推荐）

• Instacart Market Basket Analysis(Part 1):EDA&Baseline

• Instacart Market Basket Analysis(Part 2):0.3787363

• Instacart Market Basket Analysis(Part3_1):0.4036596(铜牌)

• Instacart Market Basket Analysis(Part3_2):0.4036596(铜牌)

7. Titanic: Machine Learning from Disaster (Second Classification, Getting Started)

• Titanic: Machine Learning from Disaster

8.  Kaggle Two  Sigma (Stock Forecast )

• Kaggle Two Simga 4th Place Part 1 (Provided by Shannon)

• Kaggle Two Simga 4th Place Part 2 (Provided by Shannon)

• Kaggle Two Simga fourth place Part 3 NN model (provided by Shannon)

9.   IEEE-CIS Fraud Detection (second classification, fraud)

• IEEE-CIS Fraud Detection_Part1_Game Analysis

• Some suggestions for IEEE competitions & points of attention for autumn recruitment AI / machine learning / data mining job interviews

• IEEE Part3: Interesting strong special & strong tricks

10.   ASHARE (classification, remaining after the game is added )

• ASHARE_Part1: Contest analysis

Domestic competition platform

1. CMTR (KDD19, recommended, multi-category)

• ContextAware MultiModal Transportation Recommendation Part1 contest analysis

• ContextAware MultiModal Transportation Recommendation Part2 EDA

• CAMMTR (KDD19) _Part3_Multi-Classification Baseline Sharing (including Code)

• CAMMTR (KDD19) _Part4_Rematch top10 plan (including Code)

2. NIPS2018 AutoML competition (anonymous, multiple data sets)

• 2018 NIPS Conference AutoML Contest Part1, AutoFeature

• 18NIPSAutoML Part2&3,ModelSelection&Hyperpara Tuning

3. JDATA19_ user's purchase prediction for the shops under the category (sequence, recommendation)

• JDATA19_Users' purchase predictions for stores under category_AList 0.058 (top20)

4. Global Urban Computing AI Challenge (Time Series, Return)

• Global City Computing AI Challenge Part1_EDA

• Tianchi Subway Traffic Forecast Part2_Rule (LB_12.10, Top2%)  (provided by human and animal harmless white rabbit)

• Global City Computing AI Challenge Part3_ (A top1, C top2 scheme)

5. Overdue prediction of credit users (second classification, fraud)

• "Credit User Overdue Forecast" Algorithm Contest Winner Award Scheme Sharing

6. Astronomical data mining competition (multi-classification, astronomy)

• Astronomical data mining competition plan third place plan

7. JDD Demographic Census (Time Series)

• JDD Demographic Census and Forecast, 2018 (Forward and Reverse Time Series Modeling)

8. Construction machinery equipment failure prediction (multi-classification)

• Machine learning-based construction machinery equipment failure prediction system Part1-EDA part

• Part2-Top5 scheme of construction machinery equipment failure prediction system based on machine learning

• Machine learning-based fault prediction system for construction machinery equipment Part3-test set leak

9. Portrait of consumer crowd—smart credit score

• MSE + MAE method to improve regression accuracy (Portrait of Consumer Crowd—Credit Intelligence Score as an example)

• Portrait of Consumer Crowd-Top 1 Credit Intelligence Score  (provided by You Xi)

  

10. Tencent Advertising Algorithm Competition 19

• Tencent Advertising Algorithm Contest 19_Top5 scheme & code (provided by You Xi)

• 2019 Tencent Advertising Algorithm Contest Scheme Sharing (Champion)     

11.   HKUST Xunfei Construction Machinery Core Components Life Prediction Challenge ( New! )

• HKUST Xunfei Construction Machinery Core Components Life Prediction Challenge Championship Sharing 

12.   HKUST Xunfei Construction Machinery Core Components Life Prediction Challenge ( New! )

• 2019CCF-BDCI-Passenger car market segment sales forecast plan (Top1%)

13.   CCF BDCI news sentiment classification ( New! )

• CCF BDCI news sentiment classification preliminary ranking A list 4/2735, top 1% solution report in the semi-finals

14.   DigSci Scientific Data Mining Competition ( New! )

• DigSci Scientific Data Mining Contest: How to win the runner-up in DigSci in 3 days