automobiles-machinelearning-analysis

Data Analysis, training Machine Learning models, and Model Evaluation and Refinement for AutoMobiles dataset.

big-data-analytics

Practice tasks in Python programming language using Hadoop, MRJob, PySpark for Big Data Analytics.

bitcalculator

BitCalculator is used for bitwise arithematic operations like addition, subtraction, multiplication etc.

burhanahmed1

coal-computerorganizationassemblylanguage

Practice of codes for Computer Organization and Assembly Language

data-analysis-with-python

Data-Acquisition and Basic Insights, Data Wrangling, Exploratory Data Analysis (EDA), and Training Prediction Models(Machine Learning) on two datasets.

dsa

Practice Codes for Data Structures and Algorithms in C++

housing-price-prediction-and-analysis

"Predicting house prices using regression models based on features like floors, waterfront presence, latitude, bedrooms, basement area, view, bathrooms, living area, and grade."

insurance-cost-analysis

Predicting insurance costs using regression models based on demographic and health-related factors.

iris-dataset-analysis-with-pyspark

Implementation of K-means,Bisecting K-means and Decision Tree in PySpark on the Iris Dataset.

laptoppricing-machinelearning-analysis

Data Analysis, training Machine Learning models, and Model Evaluation and Refinement for LaptopPricing dataset.

oop

Practice Codes for Object Oriented Programming in C++. Task files are numbered from 1 to 21.

programming_fundamentals

C++ Syntax Notes and practice codes

python

Practice tasks for complete Python programming language, including OOP and DSA concepts.

recipe-recommendor-using-pyspark

A smart recipe recommendation system that suggests recipes based on ingredient similarities. This project is done in PySpark

snake-and-apple-game

Snake and Apple game is a Computer Organization and Assembly Language (COAL) project.

sql-dbms

Practice tasks for DBMS in Microsoft SQL Server.

task-management-system

A Task Management System built with C# and .NET framework, featuring a user-friendly GUI, database connectivity, and a comprehensive dashboard for task creation, status updates, prioritization, and deletion.

twitter-sentiment-analysis-using-pyspark

This repository contains a project that demonstrates how to perform sentiment analysis on Twitter data using Apache Spark, including data preprocessing, feature engineering, model training, and evaluation.