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112 search results found

Sgx Full Orderbook Tick Data Trading Strategy ⭐ 1,151

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

Feature Engineering And Feature Selection ⭐ 798

A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.

Featexp ⭐ 656

Feature exploration for supervised learning

Handson Unsupervised Learning ⭐ 604

Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)

Amazing Feature Engineering ⭐ 485

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

Open_source_demos ⭐ 478

A collection of demos showcasing automated feature engineering and machine learning in diverse use cases

Automl Implementation For Static And Dynamic Data Analytics ⭐ 443

Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning

Deltapy ⭐ 411

DeltaPy - Tabular Data Augmentation (by @firmai)

Feature Engineering For Machine Learning ⭐ 314

Code repository for the online course Feature Engineering for Machine Learning

Nlpython ⭐ 302

This repository contains the code related to Natural Language Processing using python scripting language. All the codes are related to my book entitled "Python Natural Language Processing"

Serverless Ml Course ⭐ 296

Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features

Automated Manual Comparison ⭐ 256

Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.

Feature Engineering Tutorials ⭐ 217

Data Science Feature Engineering and Selection Tutorials

Feature Engineering Made Easy ⭐ 194

Feature Engineering Made Easy, published by Packt

The Data Science Workshop ⭐ 156

A New, Interactive Approach to Learning Data Science

The Building Data Genome Project ⭐ 140

A collection of non-residential buildings for performance analysis and algorithm benchmarking

Datasist ⭐ 137

A Python library for easy data analysis, visualization, exploration and modeling

Feature Engineering Handbook ⭐ 127

A practical feature engineering handbook

Ppdai_risk_evaluation ⭐ 124

“魔镜杯”风控算法大赛拍拍贷风控模型，接近冠军分数

Predict Remaining Useful Life ⭐ 122

Predict remaining useful life of a component based on historical sensor observations using automated feature engineering

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Kaggle Recruit Restaurant ⭐ 103

🏆 Kaggle 8th place solution

2019中国高校计算机大赛——大数据挑战赛第三名解决方案

Nba_betting ⭐ 93

Using data analytics and machine learning to create a comprehensive and profitable system for predicting the outcomes of NBA games.

Featurehub ⭐ 80

A collaborative feature engineering system built on JupyterHub

Anovos - An Open Source Library for Scalable feature engineering Using Apache-Spark

Xuniverse ⭐ 54

xverse (XuniVerse) is collection of transformers for feature engineering and feature selection

Mlnotebooks ⭐ 52

Demonstration notebooks for Machine Learning

🏆DataCon大数据安全分析大赛，2019年方向二（恶意代码检测）冠军源码、2020年方向五（恶

Predict Taxi Trip Duration ⭐ 47

Predict taxi trip duration based on historical trips using automated feature engineering

Data Science Regular Bootcamp ⭐ 39

Regular practice on Data Science, Machien Learning, Deep Learning, Solving ML Project problem, Analytical Issue. Regular boost up my knowledge. The goal is to help learner with learning resource on Data Science filed.

Predict Loan Repayment ⭐ 37

Predict whether a loan will be repaid using automated feature engineering.

Ml Forecast Features Eng ⭐ 37

Machine Learning for Retail Sales Forecasting — Features Engineering

multi-dimensional, multi-sensor, multivariate time series data analysis, unsupervised feature selection, unsupervised deep anomaly detection, and prototype of explainable AI for anomaly detector

Bellkoralgorithm ⭐ 33

A Python implementation of the Bellkor Algorithm

Feature Engineering ⭐ 30

Tips for Advanced Feature Engineering

Estimation of Distribution algorithms Python package

Technical_analysis_and_feature_engineering ⭐ 29

Feature Engineering and Feature Importance of Machine Learning in Financial Market.

Featureengineering ⭐ 28

Feature Engineering for Machine Learning, Soledad Galli

Drugs Recommendation Using Reviews ⭐ 27

Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.

Spotify_song_recommender ⭐ 24

This project leverages spotify's api and provided user playlists to create and tune a neural network model that generates song recommendations based off of song data in provided playlists.

Clinical_nlp_elastic ⭐ 23

Clinical NLP Analysis with Elasticsearch and Kibana

Geometricus ⭐ 22

A structure-based, alignment-free embedding approach for proteins. Can be used as input to machine learning algorithms.

Data Science End To End ⭐ 22

A Respository to get you job ready as a Data Scientist

Feature_engineering_session_dhs18 ⭐ 22

Contains code and presentation for my interactive hack session, 'Effective Feature Engineering: A Structured Approach to Building Better Machine Learning Models' where we look at two interesting case studies on how to effectively leverage feature engineering and use a structured approach to build good machine learning models. This is created for the purpose of being presented in Analytics Vidhya's DataHack Summit 2018

Fifa 2019 Analysis ⭐ 21

This is a project based on the FIFA World Cup 2019 and Analyzes the Performance and Efficiency of Teams, Players, Countries and other related things using Data Analysis and Data Visualizations

Predict Appointment Noshow ⭐ 18

Predict whether or not a patient will show up to their next appointment using automated feature engineering

Artfeateng ⭐ 18

Code for the book Art of Feature Engineering

Predict Household Poverty ⭐ 18

Predict the poverty of households in Costa Rica using automated feature engineering.

Natural Language Processing With Machine Learning ⭐ 18

This repository builds a basic understanding of Natural Language Processing and Machine Learning tasks around it.

The Data Analysis Workshop ⭐ 18

A New Interactive Approach to Learning Data Analysis

Phageboost ⭐ 18

Rapid discovery of novel prophages using biological feature engineering and machine learning

Predict Olympic Medals ⭐ 18

Predict how many medals a country will win at the Olympics based on past performance using automated feature engineering

Data Science ⭐ 17

Utilizing Kaggle Data and Real-World Data for Data Science and Prediction in Python, R, Excel, Power BI, and Tableau.

Instacart Market Basket Analysis ⭐ 17

The objective of this project is to analyze the 3 million grocery orders from more than 200,000 Instacart users and predict which previously purchased item will be in user's next order. Customer segmentation and affinity analysis are done to study customer purchase patterns and for better product marketing and cross-selling.

Predict Soccer Ball Location ⭐ 16

"Predicting Ball Location From Optical Tracking Data" - contains data analysis, model development and testing

Insolver ⭐ 16

Low code machine learning library, specified for insurance tasks: prepare data, build model, implement into production.

End To End Ml Sm ⭐ 16

End to end Machine Learning with Amazon SageMaker

50 Days Of Statistics For Data Science ⭐ 15

This repository consist of a 50-day program. All the statistics required for the complete understanding of data science will be uploaded in this repository.

Kaggle Automated Feature Engineering ⭐ 14

Applying automated feature engineering to the Kaggle Home Credit Default Risk Competition

Exemplary Ml Pipeline ⭐ 14

Exemplary, annotated machine learning pipeline for any tabular data problem.

Malicious Url Detection Using Machine Learning ⭐ 14

A Dataset for the task of Malicious URL Detection

Machine Learning Masterclass ⭐ 13

EliteDataScience's Machine Learning Masterclass course.

Msana Online Data Stream Analytics And Concept Drift Adaptation ⭐ 13

Data stream analytics: Implement online learning methods to address concept drift in dynamic data streams. Code for the paper entitled "A Multi-Stage Automated Online Network Data Stream Analytics Framework for IIoT Systems" published in IEEE Transactions on Industrial Informatics.

Tutorials for the 3rd IML Workshop 2019 at CERN.

Diamonds In Depth Analysis ⭐ 12

Given dataset of Diamonds with features such as Cut, Carat, Clarity etc. I have used libraries such as Pandas, Numpy, Matplotlib, Seaborn to Analyse and Estimate the Price of Diamonds based on the features. Using Scikit-Learn , implemented Algorithms to increase the effective R2 score.

Hands On Feature Engineering With Python ⭐ 12

Feature Engineering For Fraud Detection ⭐ 12

Implementation of feature engineering from Feature engineering strategies for credit card fraud

Data_analysis ⭐ 12

Notebooks on some of the past data analysis and data science projects I've done

Titanic Survival In Depth Analysis ⭐ 12

Used Pandas , Matplotlib , Seaborn libraries to Analyze , Visualize and Explore the data of people travelling on Titanic, and Used Scikit-learn Modelling Algorithms to predict their probability of Survival.

Nyc Taxi ⭐ 11

Predict NYC taxi travel times (Kaggle competition)

Talkingdata ⭐ 11

TalkingData AdTracking Fraud Detection Challenge on Kaggle Competition

Feature Selection Techniques ⭐ 11

Python code source for features selection 👨‍🔬 series on medium website. 📰

Music generation with GAN!

Credit Risk Management ⭐ 9

A binary classification model is developed to predict the probability of paying back a loan by an applicant. Customer previous loan journey was used to extract useful features using different strategies such as manual and automated feature engineering, and deep learning (CNN, RNN). Various machine learning algorithms such as Boosted algorithms (XGBoost, LightGBM, CatBoost) and Deep Neural Network are used to develop a binary classifier and their performances were compared.

Google Job Skills ⭐ 9

Having an Exploratory Analysis at what kind of Jobs and Job Locations are provided by Google and Youtube, also we look into some specific details which are important to get hired by youtube and google.

Data_processing_and_feature_engineering_in_machine_learning ⭐ 9

This is an attempt to summarize feature engineering methods that I have learned over the course of my graduate school.

Lending_loan_prediction ⭐ 9

The purpose of this project is to process the dataset, analyze it, do some feature engineering and finally make a predictive loan model for an applicant.

Black Friday Regression Analysis ⭐ 9

Predicting Prices for the products to be sold on Black Friday in US using Regression Analysis, Feature Engineering, Feature Selection, Feature Extraction and Data analysis - Data Visualizations.

Healthyhomes_insight ⭐ 8

HealthyHomes: Predicting traffic-related pollutant exposures in the East Bay. An Insight Health Data Science project

Facebook Friend Recommendation Using Graph Mining ⭐ 8

In this challenge we have given a directed social graph, and we have to predict missing links to recommend users (Link Prediction in graph)

Synthetic_well Log_polynomial_regression ⭐ 8

This project attempts to construct a missing well log from other available well logs, more specifically an NMR well log from the measured Gamma Ray (GR), Caliper, Resistivity logs and the interpreted porosity from a well.

Playground ⭐ 8

store my personal project

Mml Feature Learning ⭐ 8

Miami Machine Learning Meetup - Feature Learning with Matrix Factorization and Neural Networks

Aaanalysis ⭐ 7

Python framework for interpretable protein prediction

Data Science Portfolio ⭐ 7

Data Science Portfolio created for academic and personal projects.

Time Series Prediction With Lstm And Xgb ⭐ 7

Build an algorithm that can predict multiple future states of Limit Order Books using high-frequency, multi-variate, short time-frame data

Titanic Kaggle ⭐ 7

Introductory Kaggle competition

Avito Demand Prediction Challenge ⭐ 7

It is a Competition for Regression Challenge held by Kaggle, It is based on a Avito Dataset whose size is 123GB which can be accessed from Kaggle, I have done Data Pre-processing, feature engineering, feature extraction, data visualization, machine learning, stacking and boosting

Kaggle Courses - All Exercises of the respective courses.

Pakistan Suicide Bombing Dataset ⭐ 6

Analyzing the Suicide Bombing Patterns and seeking some of the most tangled questions with good visualizations with the help of Machine Learning and Data Science.

Predicting Kickstarter Campaign Outcomes Using Nlp Feature Engineering ⭐ 6

Predicting Kickstarter Campaign Outcomes Using NLP - Springboard - Capstone 2

Data Scientist ⭐ 6

A Minimalist RoadMap to the Data Science World

Careercon Robots Need Help ⭐ 6

It is Data Science and Machine Learning Competition Hosted by Kaggle where we have to perform multi-class classification on the labels, a very good amount of feature engineering, data preprocessing, data visualizations and modelling is done on the data set to get a good accuracy using random forest and xg boost classifier

Electrical Devices Identification Model ⭐ 6

Electrical Devices Identification Model (EDIM) for the identification of electrical devices by analyzing their energy consumption profiles.

Feature Engineering ⭐ 6

Introduction To Data Analyst And Data Science ⭐ 6

Introduction to Data Analyst and Data Science for Beginners

Stravakudos ⭐ 6

🏃 🎯 Predicting Strava Kudos on my own activities using the given activity's attributes.

Ai Hack Tunisia 2019 ⭐ 6

Code Solution for machine learning problems solved in AI Hackathon of Tunisia.

Hackathon Experiments With Data Analytics Vidhya ⭐ 6

My approach in Python (with Jupyter Notebooks) for a hackathon / workshop conducted by Analytics Vidhya. This repository contains the train and test data along with my approach and submission files.

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