패커스 수요예측 기반 당일배송 및 타겟마케팅 전략제시

2 individual projects using 2 individual datasets for Classification and association rule mining in Weka.

An example project to validate a Stan model in a targets pipeline

This repository contains my data science projects using some open-source datasets.

R Package repository for the STAT545B course.

Analysing insurance customer data to predict the premium paying ability

General framework for differential cross-section measurements for the H->4l signature (xBF group).

A research study to develop a method for identifying maintenance patterns using life tables

This Repository consist of all the Jupyter Notebooks, Images and .CSV files of the tasks that were assigned during the British Airways Data Job Sim hosted on Forage

Explore the Cars dataset using PySpark for a comprehensive Exploratory Data Analysis (EDA).

Learning Resourcess, Practice Projects and Datasets to help you learn Data Science as a beginner

Explore a collection of data science projects showcasing data analysis, machine learning, and data visualization. Dive into real-world datasets and discover insights.

This Repository Consists All Courses, Projects and Online Learning Done in Context of Machine learning, Data Sceince And Deep Learning From Various Sources like Youtube, Coursera, Udemy And WEbsites like Scikit, Keras

Recommendation System

[Natural Language Processing (NLP), Sentiment Analysis, Supervised Learning]

AI-Powered Calorie Prediction is a Streamlit-based application designed to estimate calorie expenditure during workouts using machine learning. Built with Python, scikit-learn, and data visualization tools, this project provides accurate predictions based on workout attributes.

A Comparison of Regression Models for Predicting Graduate Admissions

My school homework from #DescomplicaDigital on Data Unification and Clustering.

My GitHub README

ML-driven batch scheduling optimization for pharmaceutical manufacturing. 92.5% prediction accuracy. Statistical analysis with JASP, simulation with Python.