Predict Big Mart sales using XGBoost Regressor. Learn data preprocessing, EDA, and model evaluation in Python.

This is the GitHub repository for the technical product documentation for Syncfusion Predictive Analytics components

PhyAAt homepage

Explore CSST 104 Advanced Machine Learning repo! Python on Google Colab for tasks. Real-life examples show concepts like linear regression, predictive analysis.

99acres Insightful Estates provides stakeholders with actionable insights and personalized recommendations by analyzing real estate trends using advanced data science methodologies.

Here you will find my side projects from 2024

Explore Python implementations of predictive modeling techniques like F-test, t-test, ANOVA, linear square estimation, autocorrelation, and least squares in this practical-driven GitHub repository

An open source book to learn data science, data analysis and machine learning, suitable for all ages!

Using linear regression method to predict USA house price

Data Science Solutions: highlighted projects in data analysis, machine learning and visualization. Ready for innovation, predictive analysis and practical data-driven solutions. Open to opportunities and collaborations. Explore and connect!

Papers and datasets for Vibration Analysis

This repository contains all the tasks given by The Spark Foundation as part of Data Science intership program.

This is a tool that will allow you to estimate the minimum required performance characteristics of an ML model for a business problem

This is a personal project of mine. I decided to do a process of data storing, data manipulation, data analysis & visualizations, feature engineering, model creation/testing, model evaluation, and metrics visualizations.

This project focuses on using sensor data to predict human activity and is based on the ExtraSensory dataset, created by Ph.D. students and staff at the Department of Electrical and Computer Engineering, University of California, San Diego.

This repository contains the full project code for a Predictive Analysis of Productive Employment in Kenya. The repository contains the code for the data science project lifecycle from Business Understanding to Model Building and Evaluation (Colab Notebook) and Model Deployment (Flask, HTML)

Enable stakeholders with an engaging Power BI dashboard illustrating key e-commerce performance indicators and patterns. Evaluate sales data, predict forthcoming trends, and formulate knowledgeable approaches to foster business expansion.

Implementation of Gradient Descent that trains a linear regression model.

This machine learning project predicts house prices based on diverse features, utilizing a dataset containing historical housing data. With organized directories for data, source code, and models, it provides a foundation for accurate predictions and future enhancements. 🏡📈

"Interactive Polar Diagrams for Model Comparison" by Aleksandar Anžel, Dominik Heider, and Georges Hattab