Alternatives and similar repositories for Data-Science-Skills-Practice

Users that are interested in Data-Science-Skills-Practice are comparing it to the libraries listed below

• datacamp / Market-Basket-Analysis-in-python-live-training
  Live Training: Market Basket Analysis in Python
  ☆48Updated 5 years ago
• TrainingByPackt / Data-Science-for-Marketing-Analytics
  Achieve your marketing goals with the data analytics power of Python
  ☆229Updated 6 years ago
• jalajthanaki / Customer_lifetime_value_analysis
  Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.
  ☆49Updated 7 years ago
• blurred-machine / Sales-and-Marketing-Analytics
  This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behavio…
  ☆79Updated 6 years ago
• randylaosat / Predicting-Employee-Turnover-Complete-Guide-Analysis
  Understand why employees leave a company and apply various machine learning models to predict the next leaver!
  ☆53Updated 7 years ago
• MaartenGr / CustomerSegmentation
  Analysis for Customer Segmentation
  ☆72Updated 5 years ago
• jalajthanaki / Customer_segmentation
  Analysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to …
  ☆137Updated 7 years ago
• ShivamBhirud / Capital-Bike-Share-Data-Streamlit-Web-Application
  It is a web app tutorial project made with streamlit, a ML web app tool. It has some super cool features that can eliminate the need of a…
  ☆29Updated 6 years ago
• Dataweekends / exploratory_data_analysis
  Few tutorials on pandas, matplotlib and seaborn
  ☆28Updated 9 years ago
• yug95 / MachineLearning
  Machine learning for beginner(Data Science enthusiast)
  ☆129Updated 10 months ago
• HamzaBendemra / Employee-Churn-Predictive-Model
  Predicting Employee Churn with Supervised Machine Learning
  ☆63Updated 5 years ago
• MaartenGr / Projects
  Data Science Portfolio
  ☆74Updated 5 years ago
• TrainingByPackt / Data-Wrangling-with-Python
  Simplify your ETL processes with these hands-on data sanitation tips, tricks, and best practices
  ☆132Updated 4 years ago
• niharikabalachandra / PropensityToConvert
  Propensity models make true predictions about a customer’s future behavior. With propensity models you can truly anticipate a customer's …
  ☆18Updated 6 years ago
• erood / interviewqs.com_code_snippets
  ☆46Updated 3 years ago
• asifahmed90 / pyspark-ML-in-Colab
  Pyspark in Google Colab: A simple machine learning (Linear Regression) model
  ☆38Updated 6 years ago
• soltaniehha / Business-Analytics
  Course material for Business Analytics in Practice - IS833
  ☆66Updated last year
• ritikabhasker / Intro-to-EDA
  Workshop and lesson on Exploratory Data Analysis
  ☆12Updated 10 months ago
• AntonsRuberts / datascience_marketing
  Here I'll publish all of my personal projects that relate to Data Science in Marketing
  ☆50Updated 5 years ago
• finlytics-hub / credit_risk_model
  A comprehensive credit risk model and scorecard using data from Lending Club
  ☆149Updated 4 years ago
• Prakhar-FF13 / Customer-Analytics
  Machine Learning Case study on customer segmentation and prediction of groups.
  ☆31Updated 7 years ago
• jaypatel00174 / Movie-Recommendation
  Basic of Recommendation Models
  ☆17Updated 7 years ago
• byukan / Marketing-Data-Science
  Analytics and data science business case studies to identify opportunities and inform decisions about products and features. Topics incl…
  ☆305Updated last year
• PacktPublishing / Hands-On-Data-Science-for-Marketing
  Hands-On Data Science for Marketing, published by Packt
  ☆257Updated 9 months ago
• bhattbhavesh91 / multicollinearity_detection
  Small example on how you can detect multicollinearity
  ☆13Updated 4 years ago
• skacem / Marketing-Analytics-Foundations
  The python version of the lab exercises from the coursera class Foundation of marketing analytics.
  ☆12Updated 3 years ago
• IBM / telco-customer-churn-on-icp4d
  Data Analysis, Model Building and Deploying with WML on IBM Cloud Pak for Data
  ☆77Updated 5 years ago
• Praneet460 / RFM-Analysis
  RFM (Recency, Frequency, Monetary) Analysis is a marketing technique used to determine quantitatively which customers are the best ones b…
  ☆11Updated 7 years ago
• alod83 / data-science
  ☆152Updated last year
• HegdeChaitra / Bank-Marketing-Campaign-Analysis
  Improve marketing campaign of a Portuguese bank by analyzing their past marketing campaign data and recommending which customer to target
  ☆63Updated 7 years ago