Pinned Repositories
Airbnb_project
Descriptive analysis of Airbnb data from Seattle, Boston and Copenhagen
airline-ranking
This is a brief Insights on causes of flight delay based on Viz and implementation of Airline carrier ranking system based on data of flights to and from Texas ( Bureau of Transportation ) during Jan 2017. Using PandaSQL ( SQL+ Python)
amazon-sagemaker-examples
Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker
Audio-Sentiment-Analysis
This repository consists of work done to analyse sentiment of a customer in a conversation with a call center agent using various machine learning algorithms and audio features.
audio_emotion_analysis
The library is useful for analyzing the emotions present in any audio file(call/music/recordings) into three classes namely positive, negative, neutral.
augmented-neural-odes
Pytorch implementation of Augmented Neural ODEs :sunflower:
Automated-Resume-Screening-System
Automated Resume Screening System using Machine Learning (With Dataset)
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
awesome-public-datasets
A topic-centric list of high-quality open datasets in public domains. New PR ☛☛☛
hummingbird
Hummingbird compiles trained ML models into tensor computation for faster inference.
100rabh1401's Repositories
100rabh1401/Sentiment-Analysis
100rabh1401/Digital-Marketing-
Search Term Clustering
100rabh1401/Hackathons
100rabh1401/valuespots
Interactive map for spatial distance scores
100rabh1401/price-optimization-shiny
Shiny app for Price Optimization using prophet and lme4 libraries for R.
100rabh1401/databricks-ml-examples
100rabh1401/Marketing-Application-System-Project
Customer Segmentation, Product Recommendation, Customer Subscription Retention
100rabh1401/ekphrasis
Ekphrasis is a text processing tool, geared towards text from social networks, such as Twitter or Facebook. Ekphrasis performs tokenization, word normalization, word segmentation (for splitting hashtags) and spell correction, using word statistics from 2 big corpora (english Wikipedia, twitter - 330mil english tweets).
100rabh1401/cars-price-predictor
This project shows step by step how to build a machine learning model that can predict the price of a car based on its features by testing many Machine Learning models and comparing between them.
100rabh1401/R_Shiny_Machine_Learning
Shows how to use Shiny to demo your machine learning model or to submit Machine Learning Challenges.
100rabh1401/CustomerSegmentation_Amadeus
The objective of market segmentation is to divide a broad target market of customers into smaller, more similar groups and then design a marketing strategy specifically for each group. Clustering is a common technique to automatically find similar groups within a given data set. In this analysis, we will use clustering to find similar groups of customers within an airline's frequent flyer program, so that the airlines can target different customer segments with different types of mileage offers.
100rabh1401/xgboost-model-api
RESTful API hosting xgboost model
100rabh1401/airline-ranking
This is a brief Insights on causes of flight delay based on Viz and implementation of Airline carrier ranking system based on data of flights to and from Texas ( Bureau of Transportation ) during Jan 2017. Using PandaSQL ( SQL+ Python)
100rabh1401/ResumeParser-2
Parse resume using Machine Learning and Python
100rabh1401/TFM-Segmentation-of-airline-customers
TFM Master Data Science K_School
100rabh1401/Threat-Detection-using-Sentiment-Analysis
Threat Detection System using Hybrid (Machine Learning + Lexical Analysis) learning Approach.
100rabh1401/shiny_retail
A Retail Dashboard using R Shiny.
100rabh1401/hatespeech
100rabh1401/audio_emotion_analysis
The library is useful for analyzing the emotions present in any audio file(call/music/recordings) into three classes namely positive, negative, neutral.
100rabh1401/pycon_sg_2016
PyCon SG 2016 - Customer Segmentation in Python
100rabh1401/store_sale
1000+ Store Sale Forecasting (Rossmann Kaggle Data Science Challenge, RMSE 0.11)