wiredtoserve / datascienceLinks
Repository to maintain all my clutter
☆75Updated 3 years ago
Alternatives and similar repositories for datascience
Users that are interested in datascience are comparing it to the libraries listed below
Sorting:
- Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.☆46Updated 7 years ago
- Analysis for Customer Segmentation☆69Updated 4 years ago
- This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behavio…☆74Updated 5 years ago
- Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity☆43Updated 4 years ago
- Recommender System Repo☆33Updated 5 years ago
- Live Training: Market Basket Analysis in Python☆46Updated 4 years ago
- ☆33Updated 6 years ago
- Here I'll publish all of my personal projects that relate to Data Science in Marketing☆48Updated 4 years ago
- This MVP data web app uses the Streamlit framework and Facebook's Prophet forecasting package to generate a dynamic forecast from your ow…☆66Updated last year
- Quick EDA on a data set to determine what segments there are.☆31Updated 6 years ago
- ☆14Updated 7 years ago
- Streamlit Application for ABC Analysis & Product Segmentation☆17Updated 3 months ago
- (117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.☆25Updated 5 years ago
- Udacity Data Science Nanodegree Capstone☆36Updated 5 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
- 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
- Tracking, notes and programming snippets while learning predictive analytics☆45Updated 9 years ago
- Create Interactive Dashboards with Streamlit and Python Coursera☆10Updated 4 years ago
- 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
- Optimize revenues through pricing algorithm in python - Demand with uniform distribution☆31Updated 4 years ago
- Building a end-to-end lead scoring machine learning example with Jupyter, Sagemaker, MLflow, and Booklet.ai.☆22Updated 2 years ago
- Data Science Festival Workshop 7 November 2020 – Building a fashion recommender using Tensorflow/Keras with ASOS.☆26Updated 4 years ago
- The repository for the course in Udemy☆16Updated 5 years ago
- Interpreting Machine learning Models(ML Models,DL models) with Lime,Eli5,Shap,etc☆25Updated 3 years ago
- Deployment of PyCaret pipeline and Streamlit app on GCP Kubernetes☆15Updated 4 years ago
- Predict whether a loan will be repaid using automated feature engineering.☆63Updated last year
- Predicting the Likelihood to Purchase a Financial Product Following a Direct Marketing Campaign☆27Updated 2 years ago
- E-Commerce Website A/B testing: Recommend which of two landing pages to keep based on A/B testing☆23Updated 7 years ago
- Small example on how you can detect multicollinearity☆13Updated 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 …☆134Updated 7 years ago