Discover @g-shreekant Open Source projects

Shreekant Gosavi (@g-shreekant)

g-shreekant

Stars
204
Global Rank 121,346 (Top 5 %)
Followers 45
Following 16
Registered almost 7 years ago
Most used languages

Python
50.0 %

Jupyter Notebook
25.0 %

HTML
25.0 %
Location 🇮🇳 India
Country Total Rank 4,096
Country Ranking

Jupyter Notebook
229

Heart-Disease-Prediction-using-Machine-Learning

Machine Learning helps in predicting the Heart diseases, and the predictions made are quite accurate.

Jupyter Notebook

Sales-Prediction-of-Walmart-using-Machine-Learning

The purpose of this project is to develop a predictive model and find out the sales of each product at a given Walmart store.

Jupyter Notebook

Flipkart-Review-Scraper

Using Python beautifulsoup4 , selenium to scrap review of product from Flipkart.com

Where-Is-My-Train

A Railway application that provides live Train status and daily schedules of all Indian trains using Python 3 and Railway API. It has been developed as Windows Desktop Application with a good Graphical User Interface(GUI)

Corona-Virus-Infection-Detection-based-on-X-RAY-of-Chest-with-Tensorflow-and-Keras

Corona Virus Infection Detection in Python

-COVID-19---Analysis-Visualization-Comparisons-Using-Python-

Analyzing-AB-Test-Result

Udacity Data Analyst Project

Dog-Breed-Classifier

Dog Breed classifier and human detector model using Convolutional Neural Networks (CNN)

Python-Weather-Forecast-Using-OPENWEATHER-API

Weather Forecast is a simple Python 3 console program to get Weather Forecast from Openweather service API using any address as parameter. It obtains weekly forecast and related weather information for any coordinates in the World.

Sree-The-Personal-AI-Assistant

Sree - The AI Assistant has capability to give expert-level answers using Wolfram's breakthrough algorithms, knowledgebase and AI technology.

Food-Delivery-System-using-MySQL-and-PHP

We will provide an easily accessible interface wherein the customer can view and place the order easily. The customer can register initially with minimum details and will be allowed to check the menu items before ordering them, adding them to cart and submit the order. The system records the details in MySQL database so that it will be easy to retrieve later. The users of the system also include employee/admin who will handle info related to product addition and assigning vehicle for placed orders.