niranjannagabhushan Goto Github PK
Name: Niranjan Nagabhushan
Type: User
Bio: An Aspiring Data Scientist and Artificial Intelligence Engineer in search of Knowledge In the Domains of Machine Learning, Deep Learning, NLP .
Twitter: NirinNag13
Name: Niranjan Nagabhushan
Type: User
Bio: An Aspiring Data Scientist and Artificial Intelligence Engineer in search of Knowledge In the Domains of Machine Learning, Deep Learning, NLP .
Twitter: NirinNag13
Files Containing Notebooks on AdaBoost Bossting Algorithm
Tasks done during Virtual Internship Program of ANZ
A curated list of awesome Machine Learning frameworks, libraries and software.
This repository contains the best Data Science free hand-picked resources to equip you with all the industry-driven skills and interview preparation kit.
A Detailed Case Study on Simple and Multiple Linear Regression on a Bike Sharing App Dataset
Dealing with variables which do not exhibit a linear relationship with the target variable
EDA on a German Credit Company
A collection of my blogs on Data Science and Machine learning.
Notebooks containing codes and Projects implemented using Decision Trees
A Logistic Regression Model to Classify people into Diabetic and Non-Diabetic Classes
Housing Price Prediction using Ensemble Learning Model
Accessing Formula -1 Race's 🏎 historical data using Python . Analyzing the 2021 Abu Dhabi Grand Prix with the Fast F1 library
Capstone Data Science Project as a part of IBM Data Science Professional Certificate
In this notebook we can see the process of how to build Random Forest Model. The dataset used in this notebook is of 'IEEE-CIS Fraud Detection'.
Gesture Recognition Model for Smart TV based Applications
Contains code implementations and Notebooks on Gradient Boosting Machines
An Implementation of Gradient Descent Algorithm on a Simple Function
Implementing Gradient Descent in Simple and Multiple Linear Regression
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
An EDA on publicly available House Features Data
Predicting the Key Variables Which Affect the Sales Price Of Houses using Advanced Regression Techniques
A Python Notebook on AB Testing
Repo for COURSERA Course on Machine Learning Offered by IBM
Tasks done related to KPMG Virtual Internship
Lead Scoring is such a powerful metric when it comes to quantifying the lead & it is nowadays used by every CRM. In this repository, we are going to take a look at the UpGrad lead scoring case study and see how can we solve this problem through several supervised machine learning models.
A Case Study on Peer-to-Peer Money Lending Company "Lending Club'
Experiment with Linear and Non-Linear SVMs with various Hyperparameters
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.