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bulkpro_assignment

Power BI dashboard analyzing order trends in BulkPro's Platinum category. Provides insights and recommendations based on key metrics to address sales declines.

clustering

data-science-projects

This repository contains machine learning projects and exploratory data analysis (EDA) projects. Explore various projects related to data science and machine learning, including datasets, code, and insights.

emotion-detection-using-deep-learning

This project demonstrates the implementation of a Convolutional Neural Network (CNN) for image processing using deep learning techniques. CNNs are a class of deep learning models that are particularly effective for analyzing visual data.

end-to-end-machine-learning-project

This repository contains the code and analysis for a project exploring students' exam performance. The dataset, sourced from Kaggle, includes attributes like gender, race/ethnicity, parental education, lunch, test preparation, and scores in math, reading, and writing.

ibm-quantum-challenges

Solutions and notes for the IBM Quantum Challenges, a series of programming exercises designed to help developers learn quantum computing programming using the IBM Quantum Experience platform.

ipl_sql

magaramol

magaramol.github.io

nlp

The goal of this task is to preprocess text data for analysis or modeling for NLP tasks.

pyspark

quora-question-pairs

social-network-graph-link-prediction

This project focuses on predicting links in a social network graph through supervised learning. It follows a structured process involving data preparation, exploratory data analysis (EDA), feature generation, model training, and evaluation.

sql_case_study

sql_famous_paintings

Famous Painting SQL Data Analysis

sql_insurance-claim-analysis

taxi-demand-prediction-in-new-york-city

The main objective of this project is to develop a predictive model that can forecast taxi demand in different parts of New York City. By accurately predicting demand, taxi companies can optimize their fleet management and improve service efficiency.