Lakshya Agarwal (Lakshya-Ag)

Lakshya-Ag

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Location:Bareilly

Home Page:https://www.linkedin.com/in/lakshya-agarwal-999032147/

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Lakshya Agarwal's repositories

Streamlit-Dashboard

Interactive data science and machine learning dashboards on the stock market analysis and making predictions for companies' stock prices.

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Hangman-Game

The game is to be played between two users in which one of them chooses a word and the other has to find it with a maximum of seven wrong guesses

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Priority-Scheduling

This program schedules the processes according to their priority i.e. the higher priority processes needs to be processed first.

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ApplicateAI-Assignment

SQL assignment for the round 2 of ApplicateAI recruitment

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Bank-Marketing-Logistic-Regression

Creating a logistic regression model using python on bank data, to find out if the customer has subscribed to a specific plan or not

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Cloud-Cryptography

A research paper about the data security issues in cloud computing, it's solutions, and the protocols involved in the cloud cryptography technology

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Coursera_Capstone

Analyzing the median house prices and School Ratings for the city of Scarborough in Canada.

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Prediction-of-Car-prices

Creating a multiple linear regression model to predict the car prices based on multiple features of the cars given in the dataset.

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Stock-market-Analysis

The following code will tell the user if he/she needs to buy, sell, or hold the shares for a particular company.

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Uber-Case-Study

Exploratory Data Analysis was done on the data provided and identify the root cause of the problem (i.e. cancellation and non-availability of cars) and recommend ways to improve the situation

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Fashion-Advisor

The code will suggest the user about the clothes they should wear according to their body type, age, gender, and many other criteria.

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Inferential-Statistics-and-Hypothesis-Testing

Testing the hypothesis of a pharma company for the time of the effect and the quality assurance based on the null and alternate hypothesis

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Java-programmes

Some basic JAVA programs for practice

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