A New Way to Visualize the Markets (Created in 24 hours @ CalHacks)
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Updated
Oct 10, 2017 - Python
A New Way to Visualize the Markets (Created in 24 hours @ CalHacks)
Works with data from Sky Scrape to make time series forecasts using statistical and machine learning techniques
Predicitve analytics of sales using Facebook Prophet
Prediction of electricity consumption of buildings in a particular region of the US
This repository contains the projects I did as a part of Udacity's Predictive Analytics for Business Nanodegree
API for machine learning model used to predict salary of the candidate based their test score, interview score and years of experience. The API for this ML model is developed using fastAPI
Companion repo of "A 2-phase Strategy For Intelligent Cloud Operations"
This is the 3rd project in Udacity's Predictive Analytics Nanodegree
Web scrapes data from the internet using python, and then uses the code to run an algorithm in C++ to predict winners of NFL games
This repository shows the code for the analyses executed in the prediction of Customer Lifetime Value of new customers for the Google Merchandise Store.
This web app helps to predict the Parkinson disease status of a patient. It can be helpful for any test center who can upload there patient details and easily get a prediction.
Python project using NumPy library from CoRise's Python for Data Science course (Week 1)
In this project we explored different prediction models on a dataset of 3K+ Data Science related roles & salaries.
Predictive Analysis of Lending Clubs loans to predict whether a loan may default or not using R
Predicting the CD5 index of a research publication using ML
Visit the site for learn more about it
some of my data science and machine learning projects
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