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kagglesolvedproblem's Introduction

This is repository to store solutions to data science problem solved by me given on Kaggle.

Problems

  • * - To be Improved Later
  • ACC - Accuracy / 100 (For Classification Problems)
  • MAE - Mean Absolute Error / 100 (For Regression Problems)
Index Kaggle Link Status Tags
1 Titanic: Machine Learning from Disaster ACC: 0.80382 Data Cleaning, Feature Engineering
2 Bike Sharing Demand MAE: 0.50357 Seaborn, Feature Eng, Keras ANN
3 Twitter sentiment analysis *ACC: 0.72608 NLTK, textual classification
4 Digit Recognizer ACC: 0.99042 Keras CNN, Image Classification
5 What's Cooking *ACC: 0.697497
6 House Prices: Advanced Regression Techniques *MAE: 0.18217 Catboost, Data Cleaning
7 Forest Cover Type Prediction ACC: 0.74479
8 Sentiment Analysis on Movie Reviews ACC: 0.59882 NLTK, CountVect, TFIDF
9 Data Science London + Scikit-learn ACC: 0.91281
10 Ghouls, Goblins, and Ghosts... Boo! ACC: 0.73534
11 Amazon.com - Employee Access Challenge ACC: 0.67644
12 New York City Taxi Trip Duration Not Done
13 Bag of Words Meets Bags of Popcorn *ACC: 81.964 Word2Vec, Gensim, NLP
14 New York City Taxi Fare Prediction Not Done
15 Random Acts of Pizza Not Done
16 Quora Question Pairs Not Done Topic Similarity, NLP
17 Predict Future Sales Not Done
18 Facial Keypoints Detection Not Done
19 Facial Expression Recognition Challenge Not Done
20 West Nile Virus Prediction Not Done
21 Dogs vs. Cats ACC: 78.257 Keras CNN, Image Classification
22 Human Activity Recognition with Smartphones *ACC: 0.9619 MultiClass Classification
23 - Not Done

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