Pinned Repositories
advertising
A linear regression Model on an Advertising Dataset
Auto-GPT
An experimental open-source attempt to make GPT-4 fully autonomous.
bikesharing
building a multiple linear regression model for the prediction of demand for shared bikes.
Clustering
This repository contains code and data for a retail segmentation project using clustering techniques to identify distinct customer segments.
computer-science-flash-cards
Mini website for testing both general CS knowledge and enforce coding practice and common algorithm/data structure memorization.
EDA-CREDIT-PROJECT
Understanding the nature of Loan defaulters using 2 Banking datasets.
inderbaldawa
Lead-Scoring-Case-Study
The project aims to build a model to assign a lead score to each potential customer of X Education, indicating their likelihood of converting into a customer, in order to increase the lead conversion rate to around 80%.
Mapreduce-on-Taxi-Dataset
TelecomChurn
using Multiple Logical Regression this project uses 21 variables related to customer behavior (such as the monthly bill, internet usage etc.) to predict whether a particular customer will switch to another telecom provider or not (i.e. churn or not).
inderbaldawa's Repositories
inderbaldawa/advertising
A linear regression Model on an Advertising Dataset
inderbaldawa/Auto-GPT
An experimental open-source attempt to make GPT-4 fully autonomous.
inderbaldawa/bikesharing
building a multiple linear regression model for the prediction of demand for shared bikes.
inderbaldawa/Clustering
This repository contains code and data for a retail segmentation project using clustering techniques to identify distinct customer segments.
inderbaldawa/computer-science-flash-cards
Mini website for testing both general CS knowledge and enforce coding practice and common algorithm/data structure memorization.
inderbaldawa/EDA-CREDIT-PROJECT
Understanding the nature of Loan defaulters using 2 Banking datasets.
inderbaldawa/inderbaldawa
inderbaldawa/Lead-Scoring-Case-Study
The project aims to build a model to assign a lead score to each potential customer of X Education, indicating their likelihood of converting into a customer, in order to increase the lead conversion rate to around 80%.
inderbaldawa/Mapreduce-on-Taxi-Dataset
inderbaldawa/TelecomChurn
using Multiple Logical Regression this project uses 21 variables related to customer behavior (such as the monthly bill, internet usage etc.) to predict whether a particular customer will switch to another telecom provider or not (i.e. churn or not).