vishnukanduri Goto Github PK
Name: Vishnu Kanduri
Type: User
Bio: Data science enthusiast. Loves to crunch, model and predict data.
Location: Buffalo, New York
Name: Vishnu Kanduri
Type: User
Bio: Data science enthusiast. Loves to crunch, model and predict data.
Location: Buffalo, New York
I predict air quality index of a city in China using a Long Short Term Memory (LSTM) neural network. for a year. Executed time series analysis
Using summarization pipeline from "Transfomers" to summarize any article.
Repository for coursera specialization Applied Data Science with Python by University of Michigan
Modeled the credit risk associated with consumer loans. Performed exploratory data analysis (EDA), preprocessing of continuous and discrete variables using various techniques depending on the feature. Checked for missing values and cleaned the data. Built the probability of default model using Logistic Regression. Visualized all the results. Computed Weight of Evidence and price elasticities.
I use various Data Science and machine learning techniques to analyze customer data using STP framework. I preprocessed the data, performed segmentation, hierarchical clustering, k-means, PCA techniques with a lot of visualizations to segment and understand customer data. I have performed Purchase Analytics (both descriptive analysis and predictive analysis). Used deep learning to enhance my model.
Simple React app for searching emoji
Manipulated data to recommend products and improve the company's revenue with 90% accuracy. Optimized clustering of user purchases with best feature combinations based on silhouette score. • Used PySpark, Pandas, Seaborn, and Scikit-learn to implement random forest, logistic regression, decision tree and alternating least squares.
AI model to generate blog posts on any given topic using transformers and GPT-2.
Created a HR Management App using Excel.
Get Started with Data Science. Understand how to apply different Data Science methods to solve real-world problems.
This repo will house all our course material and code snippets from the Introduction to Machine Learning Class
Classified sentences into one of Slovak, Czech, and English. Implemented relevant preprocessing steps, addressed the class imbalance in training set by employing the learned theory of Naive Bayes Models, and implementing subword units.
Learn from scratch about machine learning algorithms with practical examples!
Created a movie recommendation engine using Microsoft Excel
Analyzed population data using Excel
A webapp where you can play the classic game of rock, paper and scissors game online.
Analyzed everyday data of S & P 500 Stock from July 21, 2019 to July 21, 2020
Play Rock Paper Scissors with your webcam using TensorFlow.js
I perform time series analysis of data from scratch. I also implement The Autoregressive (AR) Model, The Moving Average (MA) Model, The Autoregressive Moving Average (ARMA) Model, The Autoregressive Integrated Moving Average (ARIMA) Model, The ARCH Model, The GARCH model, Auto ARIMA, forecasting and exploring a business case.
Built a trading bot via Reinforcement Learning using Open-AI Gym and Gym Anytrading environment. Added custom indicators such as Simple Moving Average (SMA), Relative Strength Index (RSI) and On Balance Volume (OBV)
A tiny shell program
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.