predictive-modelling
There are 20 repositories 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.
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.
akatrib/epi-age
Regression models for "epigenetic clock" estimation of canine chronological age
zszazi/Churn-modelling
Churn modelling for bank customers using Artificial Neural Network
chboey/PathoPredict
Predictive Modelling of Pathological Complete Response Classification and Relapse-Free Survival Regression in Cancer Patients
KELVI23/Predict-CO2-Emissions
Given the dataset, can we predict the Co2 emission of a car using another field such as engine size?
McGill-MMA-EnterpriseAnalytics/NHL-Game
NHL-Game Analysis 🥅 🏒
pbiecek/explainFIFA20
Show case for modelStudio based on ⚽⚽⚽FIFA 20 ⚽⚽⚽
amartid/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:
Dhawaninshah/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.
MarinosSav/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.
tonguyenquanghuy/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.
w-henderson/Headlights
📈 Train yourself to make better predictions.
Develop-Packt/Exploratory-Data-Analysis
Perform exploratory data analysis techniques, such as predictive models and advanced visualization, on the Boston Housing Dataset.
Develop-Packt/Preparing-Data-for-Predictive-Modeling
Develop classification strategies and preprocess data with pandas to prepare for predicative modeling.
Harshraj1301/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
rohanthakur336/topsis-package-102103762
topsis package created which can be directly used through command line or terminal for ranking of information provided
SphericalSilver/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.
StrubT/FTPPredModExercisesR
Predictive Modelling – Exercises (in R)