Sejal Mankar (sejalmankar1012)

sejalmankar1012

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Location:India

Twitter:@yess_sejal

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Sejal Mankar's repositories

Diney_plus-EDA-project

EDA Preformed Project

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Leetcode-Solutions

Welcome to the LeetCode Challenges Hub! Your one-stop destination for comprehensive solutions to a variety of LeetCode coding challenges. Discover clear explanations, multiple approaches, and visual aids to enhance your algorithmic prowess. Join the coding journey.

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Blackcoffer_TextAnalysis

Data Extraction and NLP

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CustomRegexMatcher

This Java program checks if an input string matches a custom regular expression pattern. It supports alphanumeric characters, '.', and '*'. Just compile and run the program, follow the prompts to input the regex and string, and see if they match.

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ExpenseTracker

Web-based Expense Tracker (HTML, CSS, JavaScript)

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Json_Validator

This project provides a Python tool for JSON data validation against user-defined schemas, ensuring data conformity to specific rules and structures. It offers features such as checking required fields, enforcing field value constraints, and validating data integrity.

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ML-project

This repository contains a machine learning project that focuses on solving a specific problem or exploring a particular dataset using machine learning techniques. The project aims to apply various algorithms and methodologies to build and train models that can make accurate predictions.

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Online-Food-Order-Prediction

This project is a machine learning model that predicts whether a customer will order food online again based on various features such as age, gender, marital status, occupation, monthly income, educational qualifications, family size, pin code, and feedback.

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Product_Data_Analyst_Assessement

Analyzing the Impact of Business Hour Mismatch on Order Volume in the Food Delivery Industry: A Case Study of UEats and Ghub

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PythonProject

Web scrapping

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SpaceInvaders

Java Game: Space Invaders

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Yuvaco_Data_Analysis_Assessment

This assignment involves writing a Python script to calculate the cost of package deliveries based on provided data and a cost grid. The script takes package details such as weight, distance, and delivery type, applies the cost calculation rules, and saves the results in an output file. You can also run the script in Google Colab for convenience.

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Customer_Churn

The goal of this project was to develop a machine learning model that predicts customer churn based on historical customer data.

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GDSCITM-official-website

This is GDSCITM official website

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Hacktoberfest2023

Make your first Pull Request on Hacktoberfest 2023. Don't forget to spread love and if you like give us a ⭐️

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Sales-Outlier-Detection

Predictive analytical solution for outlier sales detection using Isolation Forest algorithm for effective inventory management and business insights.

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weblate

Web based localization tool with tight version control integration.

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