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Name: Sandeep Shukla
Type: User
Bio: MSc - Data Science & Advanced Computing, University of Reading, UK | PGP-Data Science & Business Analytics , University of Texas, Austin
Location: Reading, United Kingdom
Name: Sandeep Shukla
Type: User
Bio: MSc - Data Science & Advanced Computing, University of Reading, UK | PGP-Data Science & Business Analytics , University of Texas, Austin
Location: Reading, United Kingdom
Supervised Learning project : Linear Regression model, Linear Reg Assumptions, model performance evaluation
Ensemble Techniques : Bagging Classfiier, Boosting Classifiers, AdaBoost, Gradient Boosting, XGBoost, Stacking, Hyperparamter tuning
Credit Defaulter prediction model - Logistic Regression, Confusion Matrix.
Exploratory Data Analysis using python.
This project used Statistical Analysis and Visualization to leverage customer's health information like smoking habits, BMI, age, gender, etc., and checked statistical evidences to make valuable decisions of insurance businesses like charges for health insurance.
Income group classification - Logistic Regression, AUC-ROC curve, confusion matrix
A holistic study of variables affecting Life Expectancy using advanced Machine Learning models.
Risk Analytics - Finance & Banking industries. Classification model to analyze the risk of the customer for loan delinquency. (Decision Tree, Hyperparameter tuning, Cost complexity pruning, Hypothesis testing)
Supervised Machine Learning : Hyperparamter tuning, GridSearchCV, RandomSearchCV
A model to predict whether a customer will buy a product or not. (Decision Tree, Feature Importance, Cost Complexity Pruning, GridSearchCV hyperparameter tuning
Supervised Classfication models - Logistic Regression & Decision Tree, AUC-ROC Curve
Unsupervised clustering technique - K-Means & Hierarchical clustering to identify different segments in the existing customer based on their spending patterns as well as past interaction with the bank.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.