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bank
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jupyter-notebook
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27 search results found
Word2gm
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261
Word to Gaussian Mixture Model
Saxo_openapi
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68
The saxo_openapi package provides easy access to SAXO Bank OpenAPI (https://www.developer.saxo/openapi/learn). Checkout the Jupyter notebooks covering most aspects of the API.
Covid19_datasets
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44
Interfacing several COVID-19 related datasets
Loan Defaulter Prediction Machine Learning
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31
Prediction of loan defaulter based on more than 5L records using Python, Numpy, Pandas and XGBoost
Provide Banks With Precision Marketing Solutions Provide Banks With Precision Marketing Solutions
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28
「二分类算法」提供银行精准营销解决方案 | 练习赛-0.93984283-【二分类,特征组】
Audiocoding_tutorials
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26
Audio Coding Tutorials
Bank Marketing Campaign Analysis
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21
Improve marketing campaign of a Portuguese bank by analyzing their past marketing campaign data and recommending which customer to target
End To End Lead Scoring
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19
An end-to-end enterprise-grade example of working a data science problem.
Amex Analyzethis2017
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17
Data Science Challenge
Bank Note Authentication
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16
💸 Authenticate Bank Notes on the basis of Genuity and Forged using Sklearn and deployed on Heroku and FastAPI Server 💳 💲
Mrsp_notebooks
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15
Multirate Signal Processing Tutorial
Deep Learning
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13
In this repo, all about Deep Learning and I covered both Supervised and Unsupervised Learning Techniques with Practical Implementation. Everything from scratch and I solved a lot of different problems with different Neural Network Architectures.
Machine Learning Challenge 1
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12
Bankmarketing
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11
Intro R Data Science
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9
An Introduction to Data Science in R
E Signing Of Loan Based On Financial History
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8
This is a deep learning model that can help banks to figure who is eligible for applying for loans by financial records
Rnn To Predict Brazil Gdp In Keras
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8
Iadb_2017_workshop
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7
Code and teaching material for "Macroeconomic Modeling with Julia", a workshop given for the IADB at the Central Bank of Argentina in 2017
Curvaturepy
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7
Code for analyzing the relationship between curvature and migration rate in meandering rivers
World Bank Pover T Tests Solution
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7
Repository for the World Bank Pover-t Test Competition Solution (Bonus Prize Winner)
Loan Prediction
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7
Predicting whether a person who has applied for a loan in a bank would get his/her loan approved or not using Classification Algorithms in Machine Learning, by looking at some common and useful attributes.
Frauddetection Enhanced Using Graph Algorithms
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6
Bank Customer Churn Analysis
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6
Predict the customers who are likely to churn for an European bank using various models- KNN, logistic regression, decision tree and random forest
Bank Marketing
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5
A Data-Driven Approach to Predict the Success of Bank Telemarketing
Customer Clustering Segmentation Challenge
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5
My work for the KPMG (open to public) challenge for bank customer segmentation based on its annual banking industry survey. Dimension of dataset 40,000rows x 150 columns
Bank_loan_modeling
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5
Web App with models to identify/classify the potential customers who have a higher probability of purchasing loan from a particular bank.
Yes Bank Datathon
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5
YES BANK has launched DATATHON 2018, which invites participants from across the world, who will join us in our quest of Data driven Innovation and develop models for the appropriate sourcing and usage of data across businesses.
Data Mining And User Portrait
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5
Data Mining and User Portrait reports, with a score of 95/100, ranking first, including experiments of 3 kaggle data sets and a small paper "Application of Mobile User Portrait in Mining and Serving High Net Worth Customers" (including duplicate checking report).
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