This repository contains lots of Data Cleaning, Feature Engineering, Exploratory Data Analysis(EDA), and Modeling techniques for Classical Machine Learning competitions on Kaggle. It also contains Various Text Processing techniques, Different uses and architectures of RNN using Pytorch and other approaches for NLP competitions on Kaggle.
Each competition has its own approach to solve it to get the best results.
If you want to learn something new/advanced i advice you to have a look on this competition:
Titanc Disaster (https://www.kaggle.com/c/titanic) Score: 77% (Higher is better)
Forest Cover Type (https://www.kaggle.com/c/forest-cover-type-prediction) Score: 79% (Higher is better)
IEEE-CIS Fraud Detection (https://www.kaggle.com/c/ieee-fraud-detection) Score: 92% (Higher is better)
Instant Gratification (https://www.kaggle.com/c/instant-gratification) No Score.
Categorical Feature Encoding (https://www.kaggle.com/c/cat-in-the-dat) Score: 76% (Higher is better)
Amazon Employee Access Challenge (https://www.kaggle.com/c/amazon-employee-access-challenge/overview) Score: 89% (Higher is better)
House Prices Prediction (https://www.kaggle.com/c/house-prices-advanced-regression-techniques) Score: 0.12 (Lower is better)
Fish Market (https://www.kaggle.com/aungpyaeap/fish-market) No Score.
Bike Sharing Demand (https://www.kaggle.com/c/bike-sharing-demand) Score: 0.417 (Lower is better)
TMDB Box Office Prediction (https://www.kaggle.com/c/tmdb-box-office-prediction) Score: 2.127 (Lower is better)
Used Cars Price Prediction (https://www.kaggle.com/avikasliwal/used-cars-price-prediction) No Score.
Tabular Palyground Series Feb 2021 (https://www.kaggle.com/c/tabular-playground-series-feb-2021) Score: 0.84235 (Lower is better)
Quora Insincere Questions Classification (https://www.kaggle.com/c/quora-insincere-questions-classification). Score: .70 (Higher is better)
Natural Language Processing with Disaster Tweets (https://www.kaggle.com/c/nlp-getting-started). Score: .798 (Higher is better)
Twitter Tweets Data (https://www.kaggle.com/saadbinmanjuradit/twitter-tweets-data). No Score.
CommonLit readability Prize (https://www.kaggle.com/c/commonlitreadabilityprize) (top 9%) Score: 0.460 (Lower is better)
Sentiment Analysis on Movie Reviews: https://www.kaggle.com/c/sentiment-analysis-on-movie-reviews (Top 1%, 5th place) Score: 0.69644 (Higher is better)
Google QUEST Q&A Labeling: https://www.kaggle.com/c/google-quest-challenge