Alternatives and similar repositories for sentiment_analysis_classification

Users that are interested in sentiment_analysis_classification are comparing it to the libraries listed below

• h3ik0th / clv
  customer lifetime value BG/NBD model
  ☆17Updated 3 years ago
• MaartenGr / CustomerSegmentation
  Analysis for Customer Segmentation
  ☆71Updated 4 years ago
• aryancodify / Clustering
  Implementation OF KMEans, KMode, Kprototype and Agllomerative Hierarchical Clustering Using Python.
  ☆34Updated 6 years ago
• aws-samples / churn-prediction-with-text-and-interpretability
  Predict customer churn with text and interpretability.
  ☆12Updated 3 years ago
• kurtispykes / twitter-sentiment-analysis
  Creating a Gradio user interface to predict the sentiment of a tweet
  ☆12Updated 3 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…
  ☆45Updated 4 years ago
• 30lm32 / ml-time-series-analysis-on-sales-data
  Time Series Decomposition techniques and random forest algorithm on sales data
  ☆62Updated 3 years ago
• sejaldua / digesting-the-digest
  Using the Gmail API to topic model my recommended Medium reads
  ☆24Updated 3 years ago
• kirrlix1994 / Retail_hero
  Reatail-hero X5 contest
  ☆13Updated last year
• 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.
  ☆48Updated 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…
  ☆76Updated 5 years ago
• BartoszSzablowski / Sell_Out_Sell_In_Forecasting
  Sell Out Sell In Forecasting project implemented at Nestlé
  ☆20Updated 3 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…
  ☆11Updated 5 years ago
• dimitreOliveira / StoreItemDemand
  (117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.
  ☆25Updated 6 years ago
• manujosephv / deeprenewalprocess
  GluonTS Implementation of Intermittent Demand Forecasting with Deep Renewal Processes arXiv:1911.10416v1 [cs.LG]
  ☆31Updated 3 years ago
• Idilismiguzel / data_analysis
  ☆13Updated 3 years ago
• finlytics-hub / churn_model-survival-analysis
  ☆11Updated 4 years ago
• anurag-code / Survival-Analysis-Intuition-Implementation-in-Python
  Quick Implementation in python
  ☆53Updated 5 years ago
• lucko515 / clustering-python
  Different clustering approaches applied on different problemsets
  ☆40Updated 5 years ago
• grahamharrison68 / Public-Github
  Repository for GH public projects
  ☆18Updated last year
• halpert3 / complaint-content-classification-nlp
  Natural Language Processing classification project with machine learning models developed to classify consumer complaints.
  ☆18Updated 4 years ago
• druce / iowa
  Iowa House Prices Kaggle (top 5%)
  ☆13Updated last year
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆51Updated 4 years ago
• vatsal220 / medium_articles
  This repository will contain the code associated to the scripts I've been writing in my medium articles
  ☆45Updated 2 years ago
• finlytics-hub / credit_risk_model
  A comprehensive credit risk model and scorecard using data from Lending Club
  ☆142Updated 4 years ago
• viveknest / statascratch-solutions
  ☆14Updated 2 years ago
• sharmaroshan / Cervical-Cancer-Prediction
  In this data set, We have to predict the patients who are most likely to suffer from cervical cancer using Machine Learning algorithms fo…
  ☆10Updated 6 years ago
• uc-python / advanced-python-datasci
  Advanced Python for Data Science Workshop
  ☆13Updated 11 months ago
• CA683-Group99 / Wind-Energy-Prediction
  Exploring the relationships in the historical data of weather, wind generated electricity and electricity demand. Base on the analysis, u…
  ☆13Updated 3 years ago
• techietrader / XGBoost-on-Bankruptcy-Dataset-Imbalance-Data
  keywords - XGboost, Smote, Hyperparameter tuning, Python
  ☆12Updated 6 years ago