Alternatives and similar repositories for Recommender-Systems-Making-Movies-Recommendation:

Users that are interested in Recommender-Systems-Making-Movies-Recommendation are comparing it to the libraries listed below

• saritmaitra / Segmentation-Clustering
  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
• DiegoUsaiUK / Propensity_Modelling
  Predicting the Likelihood to Purchase a Financial Product Following a Direct Marketing Campaign
  ☆27Updated 2 years ago
• yoonhwang / hands-on-data-science-for-marketing
  ☆26Updated 3 years ago
• BartoszSzablowski / Sell_Out_Sell_In_Forecasting
  Sell Out Sell In Forecasting project implemented at Nestlé
  ☆23Updated 2 years ago
• susanli2016 / Statistics-with-Python
  ☆26Updated 5 years ago
• grahamharrison68 / Public-Github
  Repository for GH public projects
  ☆18Updated last year
• WillKoehrsen / mastering-large-datasets
  Work for Mastering Large Datasets with Python
  ☆18Updated 2 years ago
• susanli2016 / Data-Analysis-with-Python
  Data analysis using numpy, pandas, matplotlib, seaborn, sqlite3, data wrangling
  ☆31Updated 5 years ago
• KishManani / m5-forecasting-tutorial
  An end-to-end tutorial to forecast the M5 dataset using feature engineering pipelines and gradient boosting.
  ☆17Updated 2 years ago
• jacobod / Facebook-Metrics-Prediction
  Analysis and Modeling of the UCI Facebook Metrics Dataset
  ☆13Updated 6 years ago
• rileypredum / mall_customer_segmentation
  Quick EDA on a data set to determine what segments there are.
  ☆31Updated 6 years ago
• topspinj / pydata-workshop
  "Building a Recommender System from Scratch" Workshop Material for PyDataDC 2018
  ☆24Updated 6 years ago
• finlytics-hub / churn_model-survival-analysis
  ☆12Updated 4 years ago
• amyoshino / Recommendation-System-with-Apriori-and-ECLAT
  Recommendation System to locate products in a fresh market using Apriori and ECLAT association rule algorithms
  ☆30Updated 7 years ago
• ASOS / dsf2020
  Data Science Festival Workshop 7 November 2020 – Building a fashion recommender using Tensorflow/Keras with ASOS.
  ☆26Updated 4 years ago
• DunderData / Tutorials
  Python data science and machine learning from Ted Petrou with Dunder Data
  ☆54Updated 2 years ago
• khuyentran1401 / prefect-docker
  Demo on how to use Prefect with Docker
  ☆25Updated 2 years ago
• sophiamyang / sophiamyang.github.io
  ☆28Updated last year
• LeihuaYe / Statistical_Simulation_In_Python
  ☆13Updated 3 years ago
• h3ik0th / clv
  customer lifetime value BG/NBD model
  ☆17Updated 3 years ago
• ksureshkumar-loveshark / blogs_public
  ☆14Updated 4 years ago
• meiradania / data-science-retreat-sql
  This is the repository with teaching material, exercises and solutions for the SQL crash course.
  ☆14Updated 5 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.
  ☆45Updated 6 years ago
• tdpetrou / Machine-Learning-Tutorials
  ☆11Updated 2 years ago
• zachrenwick / streamlit_forecasting_app
  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
• chudzikr / Fraud_Detection_in_Python
  Fraud Detection in Python, DataCamp course
  ☆12Updated 5 years ago
• susanli2016 / Hands-On-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow-2nd-Edition
  Book Projects
  ☆24Updated 3 years ago
• noahgift / or
  Operations Research Algorithms
  ☆17Updated last year
• susanli2016 / Mathematics-for-Machine-Learning-Specialization
  ☆18Updated 4 years ago
• YuehHanChen / Telco_Customer_Churn_Analysis
  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