Alternatives and similar repositories for Machine-Learning-A-Z

Users that are interested in Machine-Learning-A-Z are comparing it to the libraries listed below

• chen-bowen / Data_Science_Portfolio
  Portofolio repository for Udacity Data Scientist Nanodegree
  ☆41Updated 4 years ago
• susanli2016 / Deep-Learning-with-deeplearning.ai
  Program assignments for the Deep Learning Specialization at Coursera by Andrew Ng
  ☆51Updated 7 years ago
• anindya-saha / Data-Science-with-Spark
  Machine Learning and Data Analysis Case Studies using Spark.
  ☆72Updated 4 years ago
• susanli2016 / Hands-On-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow-2nd-Edition
  Book Projects
  ☆24Updated 4 years ago
• aniruddhachoudhury / Credit-Risk-Model
  Credit Risk Model on Machine learning and prediction
  ☆30Updated 4 years ago
• MaartenGr / CustomerSegmentation
  Analysis for Customer Segmentation
  ☆69Updated 4 years ago
• seifip / starbucks-customer-segmentation
  Udacity Data Science Nanodegree Capstone
  ☆36Updated 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.
  ☆46Updated 7 years ago
• optiflow / rfm-customer-segmentation
  Unsupervised Clustering on Online Retail Dataset
  ☆31Updated 6 years ago
• suneelpatel / Statistics-for-Data-Science-using-Python
  Using Python, learn statistical and probabilistic approaches to understand and gain insights from data. Learn statistical concepts that a…
  ☆43Updated 5 years ago
• SThornewillvE / Udacity-DataScience-Nanodegree
  Udacity Data Science Nanodegree Repository. Contains lecture notes, and dummy scripts as well as projects undertaken for the nanodegree.
  ☆30Updated 5 years ago
• Prakhar-FF13 / Customer-Analytics
  Machine Learning Case study on customer segmentation and prediction of groups.
  ☆31Updated 6 years ago
• awesomeahi95 / Hotel_Review_NLP
  NLP Multi-class classifcation of hotel reviews, with demo app. Please check README for more details.
  ☆9Updated 9 months ago
• klaudia-nazarko / iv-and-woe-python
  This repository contains analysis of churn in telephone service company (using IV and WOE), comparison of effect size and information val…
  ☆48Updated 3 years ago
• raffg / air-passengers-arima
  ARIMA forecasts on the AirPassengers dataset built in Python and Tableau
  ☆50Updated 6 years ago
• 30lm32 / ml-time-series-analysis-on-sales-data
  Time Series Decomposition techniques and random forest algorithm on sales data
  ☆59Updated 3 years ago
• rajat5ranjan / Machine-Hack
  MachineHack is an online platform for Machine Learning competitions. We host toughest business problems that can now find solutions in Ma…
  ☆19Updated last year
• susanli2016 / Statistics-with-Python
  ☆26Updated 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 …
  ☆134Updated 7 years ago
• IBM / xgboost-financial-predictions
  Use Machine Learning to Predict Bank Client's CD Purchase with XGBoost and Scikit Learn in Watson Studio
  ☆37Updated 5 years ago
• treselle-systems / customer_churn_analysis
  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
• huynhe / Data-Science-Take-Home-Challenges-Collection
  Data Science Take Home Challenges
  ☆12Updated 6 years ago
• nesreensada / Data-Scientist-Udacity-Nanodegree-Term2
  This repo contains the material and projects for Udacity Data science Nanodegree term 2
  ☆12Updated 2 years ago
• pycaret / deployment-heroku
  Deployment Heroku
  ☆57Updated last year
• mohanakrishnavh / PySpark-Tutorial
  ☆18Updated 7 years ago
• IBM / telco-customer-churn-on-icp4d
  Data Analysis, Model Building and Deploying with WML on IBM Cloud Pak for Data
  ☆65Updated 4 years ago
• eswarchandt / Machine-Learning-Algorithms-with-Pyspark
  In this Complete process in machine learning is discussed and done with pyspark .
  ☆19Updated 5 years ago
• sowmyacr / kmeans_cluster
  Customer segmentation using k-means clustering in python
  ☆58Updated 6 years ago
• SuperJohn / spark-and-python-for-big-data-with-pyspark
  Course on Udemy by Jose Portilla
  ☆99Updated 7 years ago
• HamzaBendemra / Employee-Churn-Predictive-Model
  Predicting Employee Churn with Supervised Machine Learning
  ☆65Updated 4 years ago