beebearha

beebearha's Stars

• nickkunz/smogn

  Synthetic Minority Over-Sampling Technique for Regression

  Language:Python30876

• mukulsinghal001/customer-lifetime-prediction-using-python

  What is CLV or LTV? CLV or LTV is a metric that helps you measure the customer's lifetime value to a business. In this kernel, I am sharing the customer lifetime value prediction using BG-NBD, Pareto, NBD & Gamma Model on top of RFM in Python.

  Language:Jupyter Notebook13051

• akulumbeg/awesome-clv-models

  🎓📚📈 Collection of scientific publications that explore, model and predict customer churn and lifetime value (CLV)

  134

• masatakashiwagi/analysis-tslearn

  Clustering using tslearn for Time Series Data.

  Language:Jupyter Notebook4913

• ydataai/ydata-profiling

  1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

  Language:Python12.4k1.7k

• JasonKessler/agefromname

  Predict age and gender from a first name

  Language:Python6011

• byukan/Marketing-Data-Science

  Analytics and data science business case studies to identify opportunities and inform decisions about products and features. Topics include Markov chains, A/B testing, customer segmentation, and machine learning models (logistic regression, support vector machines, and quadratic discriminant analysis).

  Language:Jupyter Notebook271107

• Nikhilkohli1/Digital-Marketing-Analytics

  This contains projects based on Algorithmic Marketing like Marketing Mix Modeling, Attribution Modeling & Budget Optimization, RFM Analysis, Customer Segmentation, Recommendation Systems, and Social Media Analytics

  Language:Jupyter Notebook19859

• keltonhalbert/AWIDS

  Advanced Weather Interactive Diagnostic System

  Language:C162

• Bee-Mar/AWID-Intrusion-Detection

  The final project for my graduate level Data Mining course

  Language:HTML2011

• r7sy/IntrusionDetection

  This repository contains a notebook implementing an autoencoder based approach for intrusion detection, the full documentation of the study will be available shortly.

  Language:Jupyter Notebook3216

• aidude/autoencoder_anomaly_detection

  Experiment for detecting Anomaly detection using Autoencoders

  Language:Python74

• Diwash15/ML_For_AWID

  Machine Learning Algorithm for AWID dataset

  Language:Jupyter Notebook62

• plotly/dash

  Data Apps & Dashboards for Python. No JavaScript Required.

  Language:Python21.1k2k