kirankumar-a Goto Github PK
Name: Kiran Kumar A
Type: User
Company: @Arcadis
Bio: Data Scientist, Manufacturing Analyst, AI, Machine learning, Technology Learner.
Twitter: KumarKiran_A
Location: Bangalore
Name: Kiran Kumar A
Type: User
Company: @Arcadis
Bio: Data Scientist, Manufacturing Analyst, AI, Machine learning, Technology Learner.
Twitter: KumarKiran_A
Location: Bangalore
Udemy Course "Solve 100 Python Exercises to Boost your Python Skills" by Ardit Sulce
100 days of Python Practice
Aircraft performance of a twin engine electric aircraft
Code for the book Analytical Skills for AI and Data Science
Astronomy Picture of the Day API service
This repository contains my projects from the Artificial intelligence A-Z course from superdatascience.com
Attrition Analysis on data using Python
Interactive Web Plotting for Python
Condition monitoring of hydraulic systems
Interactive, Reactive Web Apps for Python. Dash Is Productive™
Data Analysis Using Python
Data Structure And Algorithmic Thinking With Python
All the quizzes, content and coding assignment solutions of Data Structures and Algorithms course of Coding Ninjas.
Data Engineering practice
Deep Learning using python
A replica of the AlphaZero methodology for deep reinforcement learning in Python
My Reading Lists of Deep Learning and Natural Language Processing
Data Science From Scratch
my E-books collection
just a fork
An example repo for learning purposes
A robot powered training repository :robot:
The project aims to predict if an employee will leave the company or not using two datasets. Dataset A is provided by IBM and dataset B is provided by another company. They have different number of samples and use unlike features. To solve the attrition classification problem, I use three machine learning methods, i.e. Logistic Regression, Random Forest and Adaboost. In each method, I use cross-validation to choose the best parameters and use the best parameters to predict the attrition of unseen employees. Logistic regression performs best on dataset A while random forest performs best on dataset B. I get a good predictive score on dataset B but a ‘bad’ score on dataset A. By comparing the features and predictive scores of two datasets, I give some conjecture about the results.
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.