kwartler / Harvard_DataMining_Business_Student
For students of Harvard CSCI E-96 Data Mining for Business
☆44Updated this week
Related projects ⓘ
Alternatives and complementary repositories for Harvard_DataMining_Business_Student
- A list of take home challenges for data science interviews I've compiled☆18Updated 6 years ago
- Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity☆41Updated 3 years ago
- Modeled the credit risk associated with consumer loans. Performed exploratory data analysis (EDA), preprocessing of continuous and discre…☆84Updated 4 years ago
- Utility functions for "Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python"☆72Updated 7 months ago
- Performs an exploratory analysis on a dataset containing information about shop customers. Check that the assumptions K-means makes are f…☆56Updated 4 years ago
- Improve marketing campaign of a Portuguese bank by analyzing their past marketing campaign data and recommending which customer to target☆56Updated 6 years ago
- ☆26Updated 3 years ago
- An Interactive Approach to Understanding Supervised Learning Algorithms☆29Updated 2 years ago
- A New Interactive Approach to Learning Data Analysis☆66Updated last year
- Project work for Udacity's AB Testing Course☆81Updated 7 years ago
- A Marketing Mix Modelling project for an E-Commerce company☆13Updated 2 years ago
- ☆26Updated 5 years ago
- Code Snippets & DataSets for Business Analytics & Data Mining/ Machine Learning Algorithms☆16Updated 6 years ago
- Modeling adstock in media mix modeling using Weibull transformations.☆16Updated 4 years ago
- Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales☆41Updated 3 years ago
- Portfolio of course work for my Master's in Data Science.☆11Updated 4 years ago
- Data Analysis, Model Building and Deploying with WML on IBM Cloud Pak for Data☆63Updated 4 years ago
- Marketing Data Science☆58Updated 9 years ago
- ☆39Updated 7 years ago
- Time Series Decomposition techniques and random forest algorithm on sales data☆55Updated 2 years ago
- Data analysis using numpy, pandas, matplotlib, seaborn, sqlite3, data wrangling☆30Updated 5 years ago
- Exploratory Data Analysis☆12Updated 5 years ago
- Live Training: Market Basket Analysis in Python☆43Updated 4 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 …☆130Updated 6 years ago
- In the customer management lifecycle, customer churn refers to a decision made by the customer about ending the business relationship. It…☆58Updated last year
- Notes and Quiz Answers of Statistical Inference Coursera Course☆15Updated 10 months ago
- Lab notes for a data mining class in Lindner College of Business.☆18Updated 8 years ago
- A collection of machine learning examples and tutorials.☆31Updated 6 years ago
- Fitted a multivariate regression model on a brand’s product Sales Volume and the availabe marketing time series data to (i.e. Advertising…☆38Updated 6 years ago