Shailendra Prajapati's repositories
Data-Processing-EDA
This repository will have code files related to Data Pre Processing, EDA and Data Modelling
Filed-Flask-test
A Flask Web API with method called “Process Payment” that receives a request like this - Credit Card Number (mandatory, string) - Card Holder: (mandatory, string) - Expiration Date (mandatory, DateTime) - Security Code - Amount (mandatoy) The responses are the following - Payment is processed: 200 OK - The request is invalid: 400 bad request - Any error: 500 internal server error. The payment is processed using different payment providers called: - PremiumPaymentGateway - ExpensivePaymentGateway - CheapPaymentGateway. The payment gateway that is used to process each payment follows the next set of business rules: a) If the amount to be paid is less than £20, use CheapPaymentGateway. b) If the amount to be paid is £21-500, use ExpensivePaymentGateway if available. Otherwise, retry only once with CheapPaymentGateway. c) If the amount is > £500, try only PremiumPaymentGateway and retry up to 3 times in case payment does not get processed.
Andrew-NG-Notes
This is Andrew NG Coursera Handwritten Notes.
Car-Rental-Prediction--Hacathon-Analytic-Vidhya
ABC is a car rental company based out of Bangalore. It rents cars for both in and out stations at affordable prices. The users can rent different types of cars like Sedans, Hatchbacks, SUVs and MUVs, Minivans and so on. In recent times, the demand for cars is on the rise. As a result, the company would like to tackle the problem of supply and demand. The ultimate goal of the company is to strike the balance between the supply and demand inorder to meet the user expectations. The company has collected the details of each rental. Based on the past data, the company would like to forecast the demand of car rentals on an hourly basis. Train and Test dataset is given in the proportion of 60:40. submission is on the basis of Root Mean Square Error (RMSE). It is further instructed not to upload/share the data on public domain or depositories.
Dibetes-Prediction-Project
This project include the different kind of use algorithms for the prediction of a person to be diabetic or not using various factors like Insulin level, sugar, skin Thickness, and other factors
India-Crop-Production
In this project I have tried to find out which crops are grown in India considering the different factors such as State-wise, District-wise, Season wise and criteria.
Major_Project_1
Sentimental Analysis of Demonetization Data- In this project Data was fetched from Twitter using Data Science Tools and As Twitter plays very important role in expressing our feeling of the event.
Supply-Chain-Management--Phenias
Supply chain management is online platform to trace the product from starting to end. Aim is to provide transparency in food industry and warehouses. Maintain the information about the products.
Time_Series_Analysis
The aim of this project is to construct an Intelligent System to analyze and predict the stock movement using LSTM and other Classical Models.
azure-iot-preview
A lightweight layer for Azure RTOS that adds native connectivity to Azure IoT cloud services
cracking-the-data-science-interview
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
Deep-Leaning-
In thsi repository I will be having collection of all the repositories related to deep learning techniques.
DP100
Labs for Course DP-100: Designing and Implementing Data Science Solutions on Microsoft Azure
E-Commerce
In this project we have created the decision tree in which have came to conclusion whether a customer will transact or not in future.
feature-engineering-book
Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018
py
Repository to store sample python programs for python learning
satellite-image-deep-learning
Resources for deep learning with satellite & aerial imagery
Shailendra-Prajapati
Config files for my GitHub profile.
Shaillucky
Config files for my GitHub profile.
skrl
Modular and flexible reinforcement learning library with support for Isaac Gym and Omniverse Isaac Gym environments
Weather-Image-Classification-Using-Keras
It is the Project assigned by Dphi as the final submission for the Deep Learning for the Bootcamp. I have secured 68th position out of 586 submission as per the public Leaderboard.