Scrape Bangkok condominium listing from hipflat.com and compare ML performance
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Updated
Apr 11, 2019 - HTML
Scrape Bangkok condominium listing from hipflat.com and compare ML performance
A Machine Learning project for Machine Learning Internship offered by InternshipStudio.
Experiments in ML with tidymodels
Udacity Machine Learning Basic Nanodegree Program - Project 1
I worked on this Live project while working as a Machine Learning Intern at Internship Studio that was offered by National Engineering Olympiad 5.0
Identifying which households in Costa Rica have the highest need for social welfare assistance
Sports Analytics in Python
This repository is dedicated to the study of functional trait divergence using machine learning methodologies. It encompasses datasets, code, tables, and visual representations pertinent to the research.
The project focuses on the Exploratory Data Analysis (EDA) of the given Performance dataset, which includes marks obtained by students in different subjects.
This dataset from "ShufersalML" captures customer order history, aiming to predict future purchases using Python. It involves interconnected files that detail customer orders over time. The goal is to build a predictive model leveraging past order patterns to anticipate which products a user is likely to include in their next order.
Model for easy facilitation of visa processing and approvals
MIT xPro - New York City Taxi Ride Duration Prediction Graded Case Study
Classification problem using Ensemble Techniques
Investigate personnel elements influencing organizational dynamics by looking at HR analytics data using python and advanced machine learning models. Forecast employment status, estimate the period of termination, and maximize performance and satisfaction initiatives.
Binary Classification using Machine Learning
Sports Analytics in R (Gradient Boost approaches for Decision Tree in Regression problems)
IST 5535 Machine Learning Algorithms and Applications in R Project, where we developed a predictive model to predict the UPDRS score for Parkinsons Disease based on different dysphonia (noise) measures.
The goal of the project is to build a predictive model using machine learning concepts to predict customer attrition for a telecom service company.
Term Deposit Subscription Prediction Model
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