Python The-Kaggle-Book Resources

Intro-To-Python This content is based on the book Think Python 2nd Edition by Allen B. Downey. More information about the book can be found here: http

The Kaggle Book Data analysis and machine learning for competitive data science Code Repository for The Kaggle Book, Published by Packt Publishing "Lu

"Deep Learning - A Visual Approach" by Andrew Glassner This is the official repo for my book from No Starch Press. Ordering the book My book is called

Kaggle-Happywhale Happywhale - Whale and Dolphin Identification Silver 🥈 Solution (26/1588) 竞赛方案思路 图像数据预处理-标志性特征图片裁剪：首先根据开源的标注数据训练YOLOv5x6目标检测模型，将训练集

Transformers Arabic licence plate recognition 🚗 Solution to the kaggle competition Machathon 3.0. Ranked in the top 6️⃣ at the final evaluation phase

30-Days-of-ML-Kaggle 🔥 About the Hands On Program 💻 Machine learning beginner → Kaggle competitor in 30 days. Non-coders welcome The program starts

Deep Learning with Julia DL with Julia is a book about how to do various deep learning tasks using the Julia programming language and specifically the

Tempo, Beat and Downbeat Estimation By Matthew E. P. Davies, Sebastian Böck and Magdalena Fuentes Resources and Jupyter Book for the ISMIR 2021 tutori

Feedback Prize - Evaluating Student Writing This is the solution for 2nd rank in Kaggle competition: Feedback Prize - Evaluating Student Writing. The

Automatic passport booker - Boka pass automatiskt hos Svenska polisen A cross-platform script to book first available time for getting a passport in S

handm_data_visualize_app Data visualization app by streamlit for H&M competition in kaggle. competition page: https://www.kaggle.com/competitions/h-an

Kaggle Competition: Forest Cover Type Prediction In this project we predict the forest cover type (the predominant kind of tree cover) using the carto

Kaggle Feedback Prize - Evaluating Student Writing 15th solution First of all, I would like to thank the excellent notebooks and discussions from http

AddressBookApp Application Name Address Book App in Django, 2022 Technologies La

A simple REST API to manage postal addresses, written in Python/Django.

AutoLGBM LightGBM + Optuna: no brainer auto train lightgbm directly from CSV files auto tune lightgbm using optuna auto serve best lightgbm model usin

A python scripts that uses 3 different feature extraction methods such as SIFT, SURF and ORB to find a book in a video clip and project trailer of a movie based on that book, on to it.

PruebaEnel Prueba Kaggle-Springleaf-master Prueba Kaggle-Springleaf Kaggle competition: Springleaf Marketing Response Competencia de Kaggle: Marketing

🔥 Olympics Data Analysis 🔥 In Data Science field, there is a big topic before creating a model for future prediction is Data Analysis. We can find o

Credit Card Fraud Detection, used the credit card fraud dataset from Kaggle

Reinforcement Learning Theory Book (rus)

This is an API developed in python with the FastApi framework and putting into practice the recommendations of the book Clean Architecture in Python by Leonardo Giordani,

Kaggleship: Kaggle Notebooks This repository contains my Kaggle notebooks. They are generally about data science, machine learning, and deep learning.

Predicting Auction Sale Price using the kaggle bulldozer auction sales data: Modeling with Ensembles vs Neural Network The performances of tree ensemb

Kaggle DSTL Satellite Imagery Feature Detection

ARM This jupyter notebook project was completed by me and my friend using the dataset from Kaggle. The world Happiness 2017, which ranks 155 countries

Python for Data Analysis, 2nd Edition Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media Buy

This repository contains Jupyter notebooks implementing the algorithms found in the book and summary of the textbook.

Home Credit Default Risk: Open Solution This is an open solution to the Home Credit Default Risk challenge 🏡 . More competitions 🎇 Check collection

Airbus Ship Detection Challenge This is an open solution to the Airbus Ship Detection Challenge. Our goals We are building entirely open solution to t

Starter code: Kaggle Toxic Comment Classification Challenge More competitions 🎇 Check collection of public projects 🎁 , where you can find multiple

Predicting job salaries from ads - a Kaggle competition

Winning solution for the Galaxy Challenge on Kaggle

The aim of the mini project is predict whether or not a passenger survived based on attributes such as their age, sex, passenger class, where they embarked and more.

Gender discrimination based on handwriting See http://fastml.com/gender-discrimination/ for description. prep_data.py - a first step chunk_by_authors.

Learn Machine Learning Algorithms by doing projects in Python and R Programming Language. This repo covers all aspect of Machine Learning Algorithms.

Model-Based-Recommender-Engine I created a book Recommender System using Sci-kit learn's N-neighbours algorithm for my model and the streamlit library

Using the provided dataset which includes various book features, in order to predict the price of books, using various proposed methods and models.

BPF Performance Tools This is the official repository of BPF (eBPF) tools from the book BPF Performance Tools: Linux and Application Observability. Th

Flasky This repository contains the source code examples for the second edition of my O'Reilly book Flask Web Development. The commits and tags in thi

深度学习入门之PyTorch Learn Deep Learning with PyTorch 非常感谢您能够购买此书，这个github repository包含有深度学习入门之PyTorch的实例代码。由于本人水平有限，在写此书的时候参考了一些网上的资料，在这里对他们表示敬意。由于深度学习的技术在

TensorFlow Tutorial - used by Nvidia Learn TensorFlow from scratch by examples and visualizations with interactive jupyter notebooks. Learn to compete

2019-indian-election-eda Exploratory Data Analysis of the 2019 Indian General Elections using a dataset from Kaggle. This project is a part of the Cou

Python3-based Douban Movie/Douban Book Scarpy crawler for cover downloading + data crawling + review entry.

Contains analysis of trends from Fitbit Dataset (source: Kaggle) to see how the trends can be applied to Bellabeat customers and Bellabeat products.

A project to work with databases in 4 worksheets, insert, update, select, delete using Python and MySqI As a small project for school or college hope it is useful

An-Introduction-to-Statistical-Learning This repository contains the exercises and its solution contained in the book An Introduction to Statistical L

The Deep Learning Book - Goodfellow, I., Bengio, Y., and Courville, A. (2016) This content is part of a series following the chapter 2 on linear algeb

To attract customers, the hotel chain has added to its website the ability to book a room without prepayment. We need to predict whether the customer is going to reject the booking or not. Since in case of refusal, the hotel incurs losses.

Hands-on Algorithmic Problem Solving A one-stop coding interview prep book! About this book In short, this is a middle-to-high level algorithm book de

Python for Finance (O'Reilly) This repository provides all Python codes and Jupyter Notebooks of the book Python for Finance -- Analyze Big Financial

DS-Take-Home Solution to the book "A Collection of Data Science Take-Home Challenges". Note: Please don't contact me for the dataset. This repository

feature-engineering-book This repo accompanies "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari. O'Reilly, 2018. The repo

Generative Deep Learning Teaching Machines to paint, write, compose and play The official code repository for examples in the O'Reilly book 'Generativ

Reinforcement-Learning-Notebooks A collection of Reinforcement Learning algorithms from Sutton and Barto's book and other research papers implemented

Ansible for DevOps Examples This repository contains Ansible examples developed to support different sections of Ansible for DevOps, a book on Ansible

Fluent Python, First Edition: example code This repository is archived and will not be updated.

IRON Kaggle project done while doing IRONHACK Bootcamp where we had to analyze and use a Machine Learning Project to predict future sales. In this case, we ended up using XGBoost because it was the one with a higher score and less overfitting.

Sartorius - Cell Instance Segmentation https://www.kaggle.com/c/sartorius-cell-instance-segmentation Environment setup Build docker image bash .dev_sc

G-Research-Crypto-Competition Project for passing the ML exam. Dataset took from

Book-Item-Based-Collaborative-Filtering Collaborative filtering methods are used

py_address_book_gui An address book with graphical user interface developed with

Code repository Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python by Peter Bruce, Andrew Bruce, and Peter Gedeck Pub

Deep-Learning-Book-Chapter-Summaries This repository provides a summary for each chapter of the Deep Learning book by Ian Goodfellow, Yoshua Bengio an

This is not an official Google product ml-design-patterns Source code accompanying O'Reilly book: Title: Machine Learning Design Patterns Authors: Val

data-science-on-gcp Source code accompanying book: Data Science on the Google Cloud Platform, 2nd Edition Valliappa Lakshmanan O'Reilly, Jan 2022 Bran

GOT Book 6 Generator Are you tired of waiting for the next GOT book to come out? I know that I am, which is why I decided to train a RNN on the first

Pattern Recognition and Machine Learning (PRML) This project contains Jupyter notebooks of many the algorithms presented in Christopher Bishop's Patte

Kaggle-titanic This is a tutorial in an IPython Notebook for the Kaggle competition, Titanic Machine Learning From Disaster. The goal of this reposito

Automatic Library of Congress Classification The Library of Congress Classification (LCC) is a comprehensive classification system that was first deve

Kaggle-2019-Data-Science-Bowl-Solution - Here i present my solution to kaggle 2019 data science bowl and how i improved it to win a silver medal in that competition.

Simple API made with Python FastAPI WIP: Deploy in AWS with Terraform Simple API written in Python using FastAPI to store and retrieve Books and Autho

ttslearn: Library for Pythonで学ぶ音声合成 (Text-to-speech with Python) 日本語は以下に続きます (Japanese follows) English: This book is written in Japanese and primaril

libacbf A Python library to read and edit ACBF formatted comic book files and archives. XML Specifications here: https://acbf.fandom.com/wiki/Advanced

Global-Wheat-Detection An efficient PyTorch library for Global Wheat Detection using YOLOv5. The project is based on this Kaggle competition Global Wh

BERT-of-Theseus Code for paper "BERT-of-Theseus: Compressing BERT by Progressive Module Replacing". BERT-of-Theseus is a new compressed BERT by progre

Lux AI 2021 python game engine and gym This is a replica of the Lux AI 2021 game ported directly over to python. It also sets up a classic Reinforceme

Code Repository for Machine Learning with PyTorch and Scikit-Learn

Python packages Tomas Beuzen & Tiffany Timbers Python packages are a core element of the Python programming language and are how you create organized,

React+Python Books App You can use this repository whenever you want Used for a video Create the database: python -m dbutils Start the web server: pyt

Computational Methods for Physics & Astronomy Book version at: https://restrepo.github.io/ComputationalMethods by: Sebastian Bustamante 2014/2015 Dieg

Kaggle-Comp.-Data-Mining Kaggle Competition using 15 numerical predictors to predict a continuous outcome as part of a final project for a stats data

파이썬 알고리즘 인터뷰 책 리뷰 리뷰 IT 대기업에 들어가고 싶은 목표가 있다. 내가 꿈꿔온 회사에서 일하는 사람들의 모습을 보면 멋있다고 생각이 들고 나의 목표에 대한 열망이 강해지는 것 같다. 미래의 핵심 사업 중 하나인 SW 부분을 이끌고 발전시키는 우리나라의 I

Analyse the limit order book in seconds. Zoom to tick level or get yourself an overview of the trading day. Correlate the market activity with the Apple Keynote presentations.

Zillow-Houses This repository contains full machine learning pipeline of the Zillow Houses competition on Kaggle platform. Pipeline is consists of 10

Book Search API Developer: Vladimir Vojtenko Book search Django web project that uses requests python library and openlibrary API. #requests #openlibr

-ML-Kaggle-Titanic-Problem-using-LogisticRegrission here you will find the solution for the titanic problem on kaggle with comments and step by step c

Python bilgilerimi eğlenceli bir şekilde hatırlamak ve daha da geliştirmek için The Big Book of Small Python Projects isimli bir kitap almıştım. Bu repo kitaptaki örnek programları çalıştığım oyun alanım.

Algorithmic trading backtest and optimization examples using order book imbalances. (bitcoin, cryptocurrency, bitmex)

kaggle_titanic_deploy Project to deploy a machine learning model based on Titanic dataset from Kaggle In this project we used the Titanic dataset from

Voicely Table of Contents About The Project Built With Getting Started Prerequisites Installation Usage Roadmap Contributing License Contact Acknowled

Credit Simple python program to auto credit your code, text, book, whatever! Setup First change credit_text to whatever text you would like to credit

aws-documentation We present the AWS documentation corpus, an open-book QA dataset, which contains 25,175 documents along with 100 matched questions a

English / Spanish / Korean / Chinese / Bengali / Indonesian The fastai book These notebooks cover an introduction to deep learning, fastai, and PyTorc

Kaggler is a Python package for lightweight online machine learning algorithms and utility functions for ETL and data analysis. It is distributed under the MIT License.

This is the code used in the paper "Entity Embeddings of Categorical Variables". If you want to get the original version of the code used for the Kagg

Kalman and Bayesian Filters in Python Introductory text for Kalman and Bayesian filters. All code is written in Python, and the book itself is written

Session-aware Item-combination Recommendation with Transformer Network 2nd place (0.39224) code and report for IEEE BigData Cup 2021 Track1 Report EDA

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

An open access book on scientific visualization using python and matplotlib