Name: Abhishek Swaroop Shrivastava
Type: User
Company: Software Engineer | Tata Consultancy Services
Bio: Sofware Developer 🥽 ¦¦ 4⭐ @Codechef(1821) ¦¦ Knight @Leetcode(1961) 📒 ¦¦ Pupil @Codeforces(1326) 🧩 ¦¦ 30+ Hackathons Experience 💕
Twitter: Abhishe98202284
Location: Noida, Uttar Pradesh
Blog: https://gh4abhi.github.io/Web-Portfolio/
Abhishek Swaroop Shrivastava's Projects
Game of Codes - Hack2Skill.
Use this repository to contribute quality code in languages you are comfortable with during the Hacktoberfest event. Do not make this repo act like a source of +1
This model predicts the prices of house using Random Forest Regressor. This model can be of great use for real estate companies as they can buy lands and can predict there price using this model and can earn a profit on the land bought.
It is a model that enhances ATM Security by monitoring activities.
My Digital Quiz is a web application that allows people specially teachers to conduct online as well as offline quizzes.
Optional static typing for Python 3 and 2 (PEP 484)
This is a Natural Language Processing model that classifies the review given by the person as 'Liked' or 'dis-liked' using KNN , SVM and SVM with PCA.
This file contains graphs of various functions and using one of the these graphs we have predicted the GDP of China using Non-Linear Regression.
This model groups the patients into certain groups depending upon the type of drug that suits them . Various features of the health results of these patient were examined and a pattern was found that the person having similar health results are cured by similar type of drug . So , this model predicts that which type of drug will be best suited to the new patients depending upon the health reports of the previous patients using Decision Tree Algorithm.
This model predicts whether a patient is malignant or benign using Support Vector Machine Algorithm of Machine Learning.
This model predicts the type of service (Plus Service , Basic Service , Total Service , E - Service) taken by a customer by putting them into some groups (3,1,4,2 respectively). Customers are divided into certain groups depending upon the certain features present in the data set. KNN machine learning algorithm has been used to group the customers and predict the new groups.
This model predicts the amount of CO2 an engine will emit depending upon its size using Polynomial Regression.
Repository for Python codes and algos.
Quantum Algorithms and Applications
A 3D game deployed on Unity Play with 150+ plays
Customer segmentation is the practice of partitioning a customer base into groups of individuals that have similar characteristics. It is a significant strategy as a business can target these specific groups of customers and effectively allocate marketing resources. For example, one group might contain customers who are high-profit and low-risk, that is, more likely to purchase products, or subscribe for a service. A business task is to retaining those customers. Another group might include customers from non-profit organizations .This model predicts the group to which a customer belong for a company using k Means Clustering . The groups determine the bond of the customer with the company . If the customer really likes services of the company then he/she will remain with the same company for a long time . Such customers are precious and this model groups such customers into certain group so that the company can retain them by providing some extra services and offers to strengthen the bond between the two.
Game Made for Shark Hacks3.
A game made in Unity 3D.
List of Top 500 SQL Interview Questions & Answers with queries and more
Contains explanation and practical use of different SQL statements.
Your one stop concoction to learning and gaming.
An interesting 3D hacking game deployed on Unity Play with 150+ views.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent