IEEE-CIS fraud detection competition
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Updated
Jun 8, 2021 - Python
IEEE-CIS fraud detection competition
Kaggle Challenge Week - Optimized Exhibition Opening
Code for Kaggle Competition -- RSNA Intracranial Hemorrhage Detection
In this machine learning project from kaggle we are required to estimate the price of the house given various attributes such as size, area, condition and a variety of other features. All these features have been described in the data_description.txt file uploaded along with the other files in this repository.
Data cleaning, solved notebook- kaggle mini course.
Data visualization, solved notebook- kaggle mini course.
This repository contains the answers for kaggle 's course "Learn Pandas"
Submission to Kaggle competition RSNA Intracranial Hemorrhage 2019
his repository contains the answers for kaggle's course "Intro to Machine Learning"
This repository has the codes of kaggle challenges and projects
Implementing neural networks on the IMDB movie review dataset of 50k movie reviews
Final project for "How to win a data science competition" Coursera course
In this machine learning project we are required to estimate the total number of rented bikes given various climatic and other features.
Contains my kaggle kernels
This notebook uses regression modeling to predict the annual population change of US cities based on their population in 2024 and 2020, population density, and area.
Comprehensive Solution Notebook for Kaggle Pandas Course Exercises.
The famous Kaggle use-case of Arizona Fatal Accidents (Solution)
My solution for Kaggle competition "categorical feature encoding challenge II" with public and private score of 0.783.
Predict which Tweets are about real disasters and which ones are not
Solution Notebooks for Kaggle Datasets
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