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Search results for data analysis feature engineering
data-analysis
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feature-engineering
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25 search results found
Hamilton
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1,388
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.
Complete Life Cycle Of A Data Science Project
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499
Complete-Life-Cycle-of-a-Data-Science-Project
Amazing Feature Engineering
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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.
Datasist
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137
A Python library for easy data analysis, visualization, exploration and modeling
Fxy
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53
Security-Scenes-Feature-Engineering-Toolkit, Continuous Integration.一款安全数据特征化工具
Data Science Regular Bootcamp
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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.
Msda
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34
multi-dimensional, multi-sensor, multivariate time series data analysis, unsupervised feature selection, unsupervised deep anomaly detection, and prototype of explainable AI for anomaly detector
Drugs Recommendation Using Reviews
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27
Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.
The Data Analysis Workshop
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18
A New Interactive Approach to Learning Data Analysis
Bubble_plot
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18
Visualize linear and non-linear connections between numerical/categorical features (2D histogram with bubbles)
Data Science
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17
Utilizing Kaggle Data and Real-World Data for Data Science and Prediction in Python, R, Excel, Power BI, and Tableau.
Predict Soccer Ball Location
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16
"Predicting Ball Location From Optical Tracking Data" - contains data analysis, model development and testing
World Food Production
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14
Comparing Top food and feed Producers around the globe and also seeking some interesting answers, solutions, patterns, hints and warnings through the power of Data Analysis and Data Visualization using Machine Learning.
Data_analysis
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12
Notebooks on some of the past data analysis and data science projects I've done
Automated Ml Application For Eda Streamlit Deployment Heroku
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12
This project is designed as Automated Application for performing Exploratory Data Analysis for given Dataset to generate insights using Python, Streamlit. For executing all the operations customized function has been created and with support of these functions every step will be executed. EDA like basic information about data, Tabulation Analysis, Distribution Analysis, Correlation Analysis and it has been extended to perform Advance Statistical Analysis with some Basic Feature Engineering has
Google Job Skills
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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.
Lending_loan_prediction
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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
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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.
Datasist Doc
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7
Official documentation for datasist: Python library for easy data analysis, modeling, visualization and feature engineering)
Pakistan Suicide Bombing Dataset
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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.
Introduction To Data Analyst And Data Science
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6
Introduction to Data Analyst and Data Science for Beginners
Careercon Robots Need Help
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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
Loan Default Prediction
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5
L&T Financial Services & Analytics Vidhya presents ‘DataScience FinHack’. where I have predicted whether the customer will be defaulter in the first EMI payment using different algorithms from machine learning
Codes And Presentations
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5
Materiais Meetup de Machine Learning de BH
Titanic Passenger Survival Prediction
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5
Using Classification Techniques, Data reprocessing, Feature Engineering, Feature Extraction and Classification Algorithms from Machine Learning to Predict who can Survive the attack of Tsunami.
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1-25 of 25 search results
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