duppala Goto Github PK
Name: Deepthi U
Type: User
Company: Caterpillar Inc @caterpillar
Bio: Data Scientist I Python I Machine learning I Predictive Modelling I Deep learning
Location: India
Name: Deepthi U
Type: User
Company: Caterpillar Inc @caterpillar
Bio: Data Scientist I Python I Machine learning I Predictive Modelling I Deep learning
Location: India
This repository contains the lab files and other resources for the free Microsoft course DAT207x: Analyzing and Visualizing Data with Power BI. To learn how to connect, explore, and visualize data with Power BI, sign up for this course on edX.
By means of this project I am trying to create a value-based customer segmentation model using RFM(Recency, Frequency, Monetary) analysis in python using pandas, numpy and matplotlib
Data analysis with Python and Jupyter
A simple implementation of DBSCAN in Python
The purpose of this repository is to code a decision tree classifier from scratch using just numpy and pandas.
Methods with examples for Feature Selection during Pre-processing in Machine Learning.
Attempt on clustering using K means technique. Create a GUI to prompt the user to enter k number
Building Logistic Regression from scratch
Practice your pandas skills!
A very simple Random Forest Classifier implementation in python.
A basic random-forests algorithm written in python.
RFM (Recency, Frequency, Monetary) analysis is a proven marketing model for behavior based customer segmentation. It groups customers based on their transaction history – how recently, how often and how much did they buy. RFM helps divide customers into various categories or clusters to identify customers who are more likely to respond to promotions and also for future personalization services.
Survival analysis built on top of scikit-learn
Survival Analysis with non-parametric, semi-parametric, and parametric models
Tensorflow implementations of Text Classification Models.
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.