appliances-energy-analysis

bank-marketing

Using Machine Learning to Predict Subscription to Bank Term Deposits for Clients

capstone-project-webscraping

causes-of-loan-defauld

codr-project

credit-fraud-detection

Credit card fraud detection is a challenging problem that requires analyzing large amounts of transaction data to identify patterns of fraud. For the purposes of this project, I trained two prediction models to perform the same forecasting task and then compared the results to decide the final “best” forecast model with the highest accuracy.

customerchurnprediction

Churn Prediction on Telecommunication Company. This is a Classification Machine Learning project using Logistic Regression, Random Forest Classifier, and K-Nearest Neighbors Models. Created as a Final Project at MyEduSolve by Kampus Merdeka Data Science Class.

data-analysis-bm-hr-analytics-employee-attrition-performance

finance-and-risk-analytics-in-banking

This case study aims to give an idea of applying EDA in a real business scenario. In this case study, i will develop a basic understanding of risk analytics in banking and financial services and understand how data is used to minimise the risk of losing money while lending to customers.

gofood-analyst-

house-prices-prediction-using-regression-model

For predicting housing prices in King County, USA, the multiple linear regression performs poorly. Multiple linear regression was unable to caught every patterns in the data. The best adjusted R2 got in the multiple linear model is 0.6999 with RMSE of 149611.2.

ilyashaikal02

interactive-rshiny-app

lbbdv

loanprediction

Develop a robust classification model that accurately predicts potential loan defaulters and provide the bank with insightful recommendations regarding crucial factors to consider during the loan approval process

machine-learning-for-trading

Code for Machine Learning for Algorithmic Trading, 2nd edition.

online-retail--machine-learning-unsupervised-

In this project, I conducted various tasks including unsupervised learning, building an RFM model, clustering, exploratory data analysis (EDA), and building predictive models using machine learning techniques

passengers-survive-titanic-data---eda

predict-the-housing-price-with-machine-learning

predicting-bank-term-deposit-subscription

proposal-dcd

rfm-segmentation-in-ecommerce

This project aims to understand the characteristics of customers within each segment. By comprehending the differences among customer segments, the project can provide customized promotional strategies for each cluster to enhance the effectiveness of marketing campaigns

stockpredictions

Stock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Yahoo Finance.

telco-customer-churn-prediction

This repository is about TELCO-CUSTOMER-CHURN-PREDICTION, here i do Exploratory Data Analysis, Machine Learning, and HyperParameterTuning to predict wheter the customers churn or not