aditya-verma-youtube-playlist-code

This repo consists of aditya verma youtube channel code for different section.

assignments

Internshala Training Assignments

awesome-leetcode-resources

Awesome LeetCode resources to learn Data Structures and Algorithms and prepare for Coding Interviews.

classification-of-population-project

Using classification techniques, help a marketing team launch a promotional campaign in different regions of the country

credit-card-payment-default-project

Based on customer information like default payments, credit data, history of payment, and more, predict whether customers will default on credit card payment

data-structure-algorithm-programs

This Repo consists of Data structures and Algorithms

exploratory-data-analysis-retail

Discover the secrets hidden within retail data with our analysis that dives into sales trends, customer demographics, and product performance, utilizing advanced statistical techniques and visualizations to uncover actionable insights. From data cleaning to dynamic visualization,explore how analysis strategic decisions can enhance business outcomes

flask-website-data-analysis-with-himanshu

The Data Analysis with Himanshu project is a Flask-based company website that showcases various data analysis services offered by Himanshu. The website provides insights into different data analysis techniques, case studies, and projects completed by Himanshu.

himanshumahajan138

Config files for my GitHub profile.

himanshumahajan138.github.io

image_to_pdf

Image to PDF Convertor

lastminuterevision-cn

Here is the last minute revision notes of Computer Network

lastminuterevision-dbms

Here is the last minute revision notes of Database Management System

lastminuterevision-oop

Here is the last minute revision notes of Object Oriented Programming

lastminuterevision-os

lastminuterevision-sql

leetcode

This repository comprises my solved LeetCode questions, arranged by difficulty level with detailed explanations. Solutions are available in C++, and contributions for optimizations and alternative approaches are encouraged. It serves as a valuable resource for improving coding skills and exploring diverse problem-solving techniques.

lgmvip-datascience-1

This project aims to showcase the implementation of the logistic regression algorithm for the classification of the Iris dataset. It consists of 150 samples of iris flowers, with 50 samples for each of three different species: setosa, versicolor, and virginica. Each sample contains four features: sepal length, sepal width, petal length, and width.

lgmvip-datascience-2

This project aims to convert a regular image into a pencil sketch using the popular computer vision library, OpenCV (cv2). The process involves various image processing techniques to simulate the appearance of a pencil-drawn sketch. The project is implemented in Python, making it easily accessible to a wide range of users.

lgmvip-datascience-3

This repository contains code and documentation for a project that demonstrates the classification of the Iris dataset using the Decision Tree Classifier algorithm. The Decision Tree is a popular and interpretable machine learning algorithm used for both regression and classification tasks.

loan-eligibility-for-customers-project

Based on customer details like gender, education, number of dependants, and more, automate the loan eligibility process for customers

machine-learning-specialization-coursera

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

notepad

Gui Notepad by himanshu mahajan

prediction-using-decision-tree-algorithm

real-estate-prices-project

Predict the real estate prices based on multiple characteristics using a regression algorithm

remote-jobs

A list of semi to fully remote-friendly companies (jobs) in tech.

retention-rates-of-bank-customers-project

Based on the bank customer information like age, gender, demographics, and past transactions, predict their retention rates

sentimental-analysis-with-nlp

Welcome to our Python Sentiment Analysis project repository! This project is dedicated to helping users understand the emotional tone behind textual data using Python. With the exponential growth of online content, sentiment analysis has become a crucial tool for businesses, researchers, and individuals to gain insights from unstructured text data.

similar_document_template_matching_algorithm

The Similar Document Template Matching Algorithm is a Python GUI application for document type checking and processing. It utilizes OCR (Optical Character Recognition) and template matching techniques to analyze images and determine if they match predefined document types.

similar_document_template_matching_algorithm_flask

This system utilizes Optical Character Recognition (OCR) extracts text, while computer vision techniques map document layout. Then, SIFT (Scale-Invariant Feature Transform) cleverly matches documents to pre-defined templates, even with variations. This intelligent matching helps identify potential fraud for further investigation.