zhan656 / Consumer-Behavior-Analytics-1
☆20Updated 6 years ago
Alternatives and similar repositories for Consumer-Behavior-Analytics-1:
Users that are interested in Consumer-Behavior-Analytics-1 are comparing it to the libraries listed below
- ☆13Updated 2 years ago
- Analytics for building Customer Journey Map in Ecommerce☆28Updated 5 years ago
- This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behavio…☆72Updated 5 years ago
- Create Interactive Dashboards with Streamlit and Python Coursera☆10Updated 4 years ago
- An example of clustering applied to finding customer segments.☆20Updated 7 years ago
- Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity☆43Updated 4 years ago
- Insurance Claim Prediction using Machine Learning - Udacity Nanodegree Capstone Project☆16Updated 8 years ago
- Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.☆46Updated 7 years ago
- A machine learning algorithm written to predict severity of insurance claim☆20Updated 8 years ago
- Pyspark in Google Colab: A simple machine learning (Linear Regression) model☆36Updated 6 years ago
- Predicting Customer Lifetime Value☆12Updated 5 years ago
- Implementation of Spark code in Jupyter notebook. Topics include: RDDs and DataFrame, exploratory data analysis (EDA), handling multiple …☆30Updated 4 years ago
- Streamlit example showing Scikit Learn & Pyspark ML over Healthcare data ! Its simple !!☆30Updated 4 years ago
- Capstone Project for General Assembly's Data Science Immersive Course☆14Updated 7 years ago
- Data analysis using numpy, pandas, matplotlib, seaborn, sqlite3, data wrangling☆31Updated 5 years ago
- (117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.☆25Updated 5 years ago
- Work for Mastering Large Datasets with Python☆19Updated 2 years ago
- Real-time sentiment analysis on tweets using tweepy and kafka. Graphed using the output of a neural network and Dash/Plotly.☆14Updated 4 years ago
- Propensity models make true predictions about a customer’s future behavior. With propensity models you can truly anticipate a customer's …☆17Updated 5 years ago
- Predicting the Likelihood to Purchase a Financial Product Following a Direct Marketing Campaign☆27Updated 2 years ago
- In this Facebook live code along session with Hugo Bowne-Anderson, you're going to check out Google trends data of keywords 'diet', 'gym'…☆44Updated 7 years ago
- Insurance fraud claims analysis project☆54Updated last year
- Recency, Frequency, and Monetary are three behavioral attributes and are quite simple, in that they can be easily computed for any databa…☆15Updated last year
- Algorithmic Marketing based Project to do Customer Segmentation using RFM Modeling and targeted Recommendations based on each segment☆40Updated 8 months ago
- Pair: image-based product collection recommender☆19Updated 5 years ago
- My work for the KPMG (open to public) challenge for bank customer segmentation based on its annual banking industry survey. Dimension of …☆13Updated 7 years ago
- Use Multiple Linear Regression, Python, Pandas, and Matplotlib to analyze the lifetime value and the key factors of the ‘Telco Customer C…☆10Updated 4 years ago
- Few tutorials on pandas, matplotlib and seaborn☆26Updated 8 years ago
- Quick EDA on a data set to determine what segments there are.☆31Updated 6 years ago
- Examples of how Python can speed up tasks that are cumbersome in Excel☆13Updated 8 years ago