Alternatives and similar repositories for Amazon-Fine-Food-Review:

Users that are interested in Amazon-Fine-Food-Review are comparing it to the libraries listed below

• zeglam / Countries-GDP-prediction
  Developed a supervised machine learning system that can estimate a country's GDP per capita using regression algorithms.
  ☆29Updated last year
• sowmyacr / kmeans_cluster
  Customer segmentation using k-means clustering in python
  ☆57Updated 6 years ago
• NishantBhavsar / Genpact-ML-hackathon
  Genpact ML hackathon 2018 hosted on Analytics Vidhya. Food demand forecasting - 79th rank solution
  ☆10Updated 6 years ago
• harshitahluwalia7895 / Loan_Prediction
  ☆21Updated 6 years ago
• Prakhar-FF13 / Customer-Analytics
  Machine Learning Case study on customer segmentation and prediction of groups.
  ☆31Updated 6 years ago
• prateekjoshi565 / twitter_sentiment_analysis
  A guide for binary class sentiment analysis of tweets.
  ☆95Updated 6 years ago
• lucko515 / clustering-python
  Different clustering approaches applied on different problemsets
  ☆39Updated 4 years ago
• My-Machine-Learning-Projects / Global-Temperature-Change-Prediction
  A Data Science project that uses an ARIMA model for Time Series Forecasting, to predict the temperature of any given city across a specif…
  ☆30Updated 7 years ago
• bhattbhavesh91 / multicollinearity_detection
  Small example on how you can detect multicollinearity
  ☆13Updated 3 years ago
• Architectshwet / Loan-prediction-using-Machine-Learning-and-Python
  To design a predictive model using xgboost and voting ensembling techniques and extract insights from the data using pandas, seaborn and …
  ☆39Updated 6 years ago
• ashishpatel26 / Market-Basket-Analysis
  Association rule mining is a technique to identify underlying relations between different items.
  ☆65Updated 5 years ago
• susanli2016 / Hands-On-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow-2nd-Edition
  Book Projects
  ☆25Updated 3 years ago
• agrawal-priyank / machine-learning-regression
  Built house price prediction model using linear regression and k nearest neighbors and used machine learning techniques like ridge, lasso…
  ☆90Updated last year
• ilarum19 / coursera-deeplearning.ai-CNN-Course-4
  Coursera Deep Learning Course 4
  ☆44Updated 4 years ago
• 30lm32 / ml-time-series-analysis-on-sales-data
  Time Series Decomposition techniques and random forest algorithm on sales data
  ☆56Updated 2 years ago
• mrc03 / IBM-HR-Analytics-Employee-Attrition-Performance
  The IBM HR Analytics Employee Attrition & Performance dataset from the Kaggle. I have first performed Exploratory Data Analysis on the da…
  ☆37Updated 7 months ago
• chiragsamal / Flask-Tutorial
  Tutorial for Deployment of Machine Learning Model using Flask
  ☆23Updated 3 years ago
• tqi2 / Wine-Quality-Prediction
  Use random forest, svm, decision tree, naive bayes to classify the wine quality in Python
  ☆12Updated 6 years ago
• cereniyim / Customer-Segmentation-Unsupervised-ML-Model
  Customer-base segmentation over e-commerce sales data
  ☆25Updated 4 years ago
• yash42828 / Interview-Question
  Python,Machine Learning,Data Structure,Data Science,AI Interview question
  ☆8Updated 4 years ago
• eswarchandt / Machine-Learning-Algorithms-with-Pyspark
  In this Complete process in machine learning is discussed and done with pyspark .
  ☆18Updated 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
• ashishpatel26 / Most-used-ML-Packages
  Here my amazing tutorial collection contain amazing notebook must read. It's contain pytorch, Advance pandas, Ensemble learning, Tensorfl…
  ☆28Updated 5 years ago
• chiragsamal / Predict-Food-Delivery-Time
  Predicting Food Delivery Time using Machine Learning
  ☆9Updated 3 years ago
• kHarshit / udacity-nanodegree-projects
  Udacity nanodegree projects: DLND, DRLND, DAND
  ☆27Updated last year
• evansdoe / online_retail
  The goal of this project is to build an unsupervised machine learning model that predicts customers' next purchase date.
  ☆19Updated 3 years ago
• sharmaroshan / Stock-Market-Predictions
  Predicting the stock market opening values using Deep learning's Model Recurrent Neural Networks which is a very powerful model.
  ☆17Updated 5 years ago
• opokualbert / Topic-Modeling-with-Non-Negative-Matrix-Factorization-NMF-
  Topic Modeling with Non-Negative Matrix Factorization (NMF)
  ☆12Updated 5 years ago
• rsreetech / LDATopicModelling
  In this notebook i will be demonstarting Latent Dirchlet Allocation(LDA) for topic modelling. I will be using the Amazon fine food review…
  ☆44Updated 3 years ago