Master programming by recreating your favorite technologies from scratch.

💎Collection of algorithms and data structures

Contains Company Wise Questions sorted based on Frequency and all time

A curated list of awesome remote jobs and resources. Inspired by https://github.com/vinta/awesome-python

"peopole off all the ages are prefering credit amount between 2500-5000 is more. Adjusting the loan product offerings or marketing strategies to specifically target individuals within this credit a…

AllLifeBank dataset was used to build a model that will help the marketing department to identify the potential customers who have a higher probability of purchasing the loan. Skills and Tools Logi…

As a Data scientist at AllLife bank I would have to build a model that will help the marketing department to identify the potential customers who have a higher probability of purchasing the loan.

This case is about a bank (Thera Bank) which has a growing customer base. The problem is to identify and analyse which existing customer subscribes to the personal loan after the bank's marketing c…

Bank wants to get analysis of the data that will help the marketing department to identify the potential customers who have a higher probability of purchasing the loan.

This project aims to utilize data insights to improve the efficiency and impact of personal loan marketing campaigns.

The primary goal of this project is to create a classification model that can accurately predict whether a loan application will be approved or not, enabling more efficient and targeted marketing s…

Data Analysis Project For Strategic Marketing Personal Loan Using SQL and Python

Jupyter notebooks and datasets for Python data cleaning tutorial

Data cleaning and exploration in Pandas via Jupyter notebook

It is a presentation on total of 7 tasks regarding marketing and investment of the application plateform.

Introduction This case study aims to give you an idea of applying EDA in a real business scenario. In this case study, apart from applying the techniques that you have learnt in the EDA module, you…

Problem Statement - I Introduction This case study aims to give you an idea of applying EDA in a real business scenario. In this case study, apart from applying the techniques that you have learnt …

Introduction This case study aims to give you an idea of applying EDA in a real business scenario. In this case study, apart from applying the techniques that you have learnt in the EDA module, you…

It is a challenge for any financial services to target the right people for disbursing the loan. The credit team must analyze various details like CIBIL score, payment history (if available), credi…

build a random forest model to predict whether a given customer defaults or not. Credit default is one of the most important problems in the banking and risk analytics industry. There are various a…

The goal of the project is to predict whether a given customer defaults or not. Credit default is one of the most important problems in the banking and risk analytics industry. There are various at…

Problem Statement Loan Delinquency Prediction is one of the most critical and crucial problem faced by financial institutions and organizations as it has a noteworthy effect on the profitability of…

In this project i pride my solution to calculate bond price with unconventional coupon payments, and the basic ideas to estimate the provision and capital requirement of three different businesses …

The main objective of the problem is to spot the potential fraudulent usage of credit cards in your payment environment as a business owner and make you avoid severe hassles — and unfavourable expo…

The goal of this project was to perform data analytics on Uber data. TLC Trip Record Data, encompassing trip details, including pickup/drop‐off info, distances, fares, payment types, and passenger …

This project uses the transactional data of a mobile payment app and explores the relationship between a user's social network and transaction behavior over his or her lifetime.

Conducted in-depth analysis of weekday vs. weekend orders, payment statistics, review scores, and order delivery times, resulting in actionable insights to improve customer satisfaction.

Analyze and visualize e-commerce sales data using Power BI with this comprehensive dashboard. Gain insights into profit, quantity sold, payment modes, and customer behavior. Download and explore now!

Detection of default payment in a credit card dataset using various model: Logistics Regression, Random forest, Isolation forest, Decision Tree, KNN and SVM

A brief macro economical evaluation of Singapore's Balance of Payments for a university project