Fast and customizable framework for automatic and quick Causal Inference in Python
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Updated
Jun 6, 2024 - Python
Fast and customizable framework for automatic and quick Causal Inference in Python
This is a collection of my submissions to the ongoing Kaggle Playground Series!
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
This Repo consists of python notebook, using data from Kaggle to do EDA, visualization on reviews using WordCloud, keywords extraction, and sentiment analysis.
A set of resources around Neo4J ninjas program
Daily consolidated and enriched snapshots of endoflife.date
All my Kaggle Notebooks that I've published
Practice
My repository for Data Science & Machine Learning projects.
This website provides a platform for users to predict their likelihood of developing diabetes based on various factors.
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
This repository contains my EDA scripts of Kaggle & MakeoverMonday Datasets
🏅 Collection of Kaggle Solutions and Ideas 🏅
Competitive Programming, System Design, Kaggle, LeetCode, AnalyticsVidhya, HackerRank, Project Euler, Interview Query
repo for training and experiments with skin-cancer dataset from kaggle
Analytics Professional Project Work
Empowering Data Driven insights through hands-on projects, SQL challenges and practical tools.
Neste repositório, você encontrará projetos de ciência de dados que utilizam conjuntos de dados do Kaggle para análise exploratória de dados, classificação, regressão e outras técnicas. Os projetos estão escritos na linguagem de programação Python.
Scripts to get data for the DAO-Analyzer dataset
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