"3rd PRIZE WINNER" Hackathon: Predicted price of the houses located in Bangalore, India - over a real time large scale data provided by the hackathon team.

My capstone project for Ryerson's Data Analytics, Big Data, and Predictive Analytics. The project I worked on was based on an open competition project called DengAI: Predicting Disease Spread. The objective of the project was to predict the total number of cases in the testing set of Iquitos, Peru & San Juan, Puerto Rico.

Machine Learning (Training + Internship) by InternshipStudio

The learning material and projects for the ML algorithms in supervised and unsupervised methods such as Regression, Classification, Clustering and recommender Systems.

This repository consists of an EDA and Regression Analysis on home pricing data for Irvine, CA.

Python / Kaggle / Regression - Predict the trip duration of NYC Taxi trip using location data with regression algorithms.

Implementation of Multiple Regression in Machine Learning

A numerical linear algebra library in Common Lisp. Forked from OdonataResearchLLC. Being extended for additional Linear Algebra functions. Interested in extending to CUDA

From basic python coding to implementing Artificial Intelligence algorithms in python

The analysis aims to help students determine suitable rent prices for their housing needs by using machine learning to predict apartment prices based on various features such as number of bedrooms, bathrooms, furnished options, and amenities. The goal is to assist current and future students in making informed decisions and budgeting accordingly.

This regression model uses Global_active_power and Global_reactive_power to predict Consumed_active_energy.

Predicting Rossmann sales six weeks in advance. Feel free to access the Telegram Bot in the link below.

Create a salary prediction web application using Python and Streamlit, leveraging real-world data and machine learning models for data analysis and user-friendly web app development.

Performing a regression task for estimating residue size based on given physicochemical properties of protein tertiary structures (CASP 5-9).

Neste projeto, estão sendo utilizados os algoritmos de Regressão Linear e Decision Tree Regressor para prever preços de veículos. 🚗🌎

Data science Machine Learning 🤖 It is normal repo of my research and work perfomed on data science and machine learning during my internshipGoogle 🔥

[Competition] HD AI Challenge, 항만 선박 시간 대기 예측, 센서 데이터를 활용한 중량 예측

Prediction of product attractiveness

"Interfaz intuitiva para análisis predictivos. Grafica relaciones entre variables y predice resultados. ¡Simplifica tus regresiones lineales en minutos!"