predictive-modelling
There are 1 repository under predictive-modelling topic.
medoidai / skrobot
skrobot is a Python module for designing, running and tracking Machine Learning experiments / tasks. It is built on top of scikit-learn framework.
Language:Python 23- Clarusway_Data_Analytics_Course
firatolcum / Clarusway_Data_Analytics_Course
This repository contains the data analytics lessons I took from the clarusway bootcamp between 5 Jan - 4 Aug 2022 and includes 48 sessions, 10 labs, 12 assignments, 12 weekly agendas, and 5 projects.
Language:Jupyter Notebook 9 - Language:Jupyter Notebook 3
zszazi / Churn-modelling
Churn modelling for bank customers using Artificial Neural Network
Language:Python 3- Language:Jupyter Notebook 1
chboey / PathoPredict
Predictive Modelling of Pathological Complete Response Classification and Relapse-Free Survival Regression in Cancer Patients
Language:Python 1KELVI23 / Predict-CO2-Emissions
Given the dataset, can we predict the Co2 emission of a car using another field such as engine size?
Language:Jupyter Notebook 1McGill-MMA-EnterpriseAnalytics / NHL-Game
NHL-Game Analysis 🥅 🏒
Language:HTML 1pbiecek / explainFIFA20
Show case for modelStudio based on ⚽⚽⚽FIFA 20 ⚽⚽⚽
Language:HTML 1amartid / E-commerce-recommendation-system
This repo contains the code (data analysis, models, results) of my diploma thesis with title "A recommender system to predict the behaviour of an e-commerce page visitor". The official university's listing of this thesis is on the link bellow:
Language:Jupyter Notebook 0Dhawaninshah / Customer-Churn
Customer Churn is a burning problem for Telecom companies. In this project, we simulate one such case of customer churn where we work on a data of postpaid customers with a contract. The data has information about the customer usage behavior, contract details and the payment details. The data also indicates which were the customers who canceled their service. Based on this past data, we need to build a model which can predict whether a customer will cancel their service in the future or not.
Language:R 0MarinosSav / Consultation_Sample
Here I provide a sample of one of my consultations. I was reached out to consult on how to approach a predictive model for customer churn for an investment banking company.
Language:Jupyter Notebook 0tonguyenquanghuy / Employee-churn
This is a group project in the Data Science for Business I course where we took a data-driven approach to foster employee retention and enhance operational efficiency by building predictive models on Python.
Language:Jupyter Notebook 0w-henderson / Headlights
📈 Train yourself to make better predictions.
Language:TypeScript 0Develop-Packt / Exploratory-Data-Analysis
Perform exploratory data analysis techniques, such as predictive models and advanced visualization, on the Boston Housing Dataset.
Language:Jupyter NotebookDevelop classification strategies and preprocess data with pandas to prepare for predicative modeling.
Language:Jupyter NotebookHarshraj1301 / Project-Manager-PoV---Measure-the-Impact-of-Covid19-on-Airbnb
Analyze the impact of COVID-19 on Airbnb bookings in Chicago and Boston, focusing on changes in traveler preferences, occupancy rates, and revenue
Language:Jupyter Notebookrohanthakur336 / topsis-package-102103762
topsis package created which can be directly used through command line or terminal for ranking of information provided
Language:PythonSphericalSilver / Diabetes-mellitus-Risk-Prediction
Profiles of healthy people and diabetic people were analyzed and used to build a predictive model to gauge the diabetes risk index of an untested person.
Language:Jupyter NotebookStrubT / FTPPredModExercisesR
Predictive Modelling – Exercises (in R)
Language:R
