sonarsushant / Loan-Defaulter-PredictionLinks
Classification problem to predict loan defaulters using Lending Club Dataset
☆11Updated 6 years ago
Alternatives and similar repositories for Loan-Defaulter-Prediction
Users that are interested in Loan-Defaulter-Prediction are comparing it to the libraries listed below
Sorting:
- ☆30Updated 7 years ago
- Churn Prediction with PySpark using MLlib and ML Packages☆57Updated 9 years ago
- Analysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to …☆135Updated 7 years ago
- Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.☆48Updated 7 years ago
- ☆110Updated 9 years ago
- Simple sentiment analysis model with PySpark☆43Updated 7 years ago
- Data Science and Machine Learning with Python - Hands On from Udemy☆14Updated 8 years ago
- Spark Application for analysis of Apache Access logs and detect anamolies! Along with Medium Article.☆20Updated 6 years ago
- data preparation☆90Updated 7 years ago
- ☆14Updated 8 years ago
- ARIMA forecasts on the AirPassengers dataset built in Python and Tableau☆50Updated 7 years ago
- Improve marketing campaign of a Portuguese bank by analyzing their past marketing campaign data and recommending which customer to target☆61Updated 7 years ago
- Applying machine learning to predict loan charge-offs on LendingClub.com☆42Updated 7 years ago
- Counting Tweets Per User in Real-Time☆43Updated 8 years ago
- Machine Learning Case study on customer segmentation and prediction of groups.☆31Updated 7 years ago
- In the customer management lifecycle, customer churn refers to a decision made by the customer about ending the business relationship. It…☆60Updated 2 years ago
- Data analysis using numpy, pandas, matplotlib, seaborn, sqlite3, data wrangling☆32Updated 5 years ago
- Course on Udemy by Jose Portilla☆99Updated 7 years ago
- ☆56Updated 6 years ago
- A complete daily plan for studying to become a machine learning engineer.☆52Updated 8 years ago
- PyCon SG 2016 - Customer Segmentation in Python☆56Updated 9 years ago
- Exploratory data analysis to start digging in to those questions, with data on the plot, cast, crew, budget, and revenues of several thou…☆19Updated 6 years ago
- It consists of examples, assignments discussed in data science course taken at algorithmica.☆108Updated last year
- Codes, notes and guides on Udacity's machine learning nanodegree.☆83Updated 8 years ago
- Lending Club Loan data analysis☆166Updated 6 years ago
- Learn Machine Learning using PySpark from scratch☆19Updated 6 years ago
- Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.☆15Updated 8 years ago
- Bare minimum End-to-End ML application with Flask REST API Prediction Service☆11Updated 5 years ago
- This is the presentation on - What are the key points one should consider if they will be appearing in Data Science job interview☆40Updated 6 years ago
- Program assignments for the Deep Learning Specialization at Coursera by Andrew Ng☆51Updated 7 years ago