Pinned Repositories
Bike_Sharing
Machine Learning project to predict the count of rented bike on any given day based on seasonal and weather settings
custom-knowledge-chatbot
DataScience-Bike_Renting
The objective of this Case is to predict of bike rental count on daily basis on the environmental and seasonal settings. The aim of the whole project is to predict the total bike rental count for a day based on environment and seasonal settings so that the bike rental company can be ready to serve the customer and meet the demand proactively.
DataScience-Employee_Absenteeism
XYZ is a courier company. As we appreciate that human capital plays an important role in collection, transportation and delivery. The company is passing through genuine issue of Absenteeism. The company has shared it dataset and requested to have an answer on the following areas: 1. What changes company should bring to reduce the number of absenteeism? 2. How much losses every month can we project in 2011 if same trend of absenteeism continues?
Employee_Absenteeism
NLP-guess_flipkart_query
Flipkart is a popular Indian e-commerce portal. One of the most common actions performed by users of the portal, is to use the search box and query for a brand, product or product-line. The search box then returns the best matching products which it can find - along with their prices, details, descriptions, etc.
NLP-Recommend_Shakespear
Here is a list of 154 sonnets from Shakespeare - https://docs.google.com/document/d/10lgjloePyqrzSMqB3JkNMSZWsivUzlXL84q3pV2s954/edit 1. You need to tag each sonnet with a keyword(most important, and frequently occurring) 2. You need to build an algorithm in python to show related sonnets(recommendation engine sort of)
NLP-recommend_shakespeare
check recommender system as webservice @ https://rec-sonnet.herokuapp.com/
NLP-to_be_or_not_to_be
The verb "to be", in its different forms, is one of the most commonly used building blocks of the English language. Given a paragraph of text in which some of the derivates of this verb have been blanked out. At various points in the text, occurences of 'am','are','were','was','is','been','being','be' have been blanked out and replaced with a series of four consecutive hyphens (----). Task is to identify which of these words can appropriately fill up these blanks.
Topic-Ontology
classifying wikipedia articles into a topic tree using nlp and clustering
preecee's Repositories
preecee/NLP-guess_flipkart_query
Flipkart is a popular Indian e-commerce portal. One of the most common actions performed by users of the portal, is to use the search box and query for a brand, product or product-line. The search box then returns the best matching products which it can find - along with their prices, details, descriptions, etc.
preecee/NLP-recommend_shakespeare
check recommender system as webservice @ https://rec-sonnet.herokuapp.com/
preecee/Topic-Ontology
classifying wikipedia articles into a topic tree using nlp and clustering
preecee/Bike_Sharing
Machine Learning project to predict the count of rented bike on any given day based on seasonal and weather settings
preecee/custom-knowledge-chatbot
preecee/DataScience-Bike_Renting
The objective of this Case is to predict of bike rental count on daily basis on the environmental and seasonal settings. The aim of the whole project is to predict the total bike rental count for a day based on environment and seasonal settings so that the bike rental company can be ready to serve the customer and meet the demand proactively.
preecee/DataScience-Employee_Absenteeism
XYZ is a courier company. As we appreciate that human capital plays an important role in collection, transportation and delivery. The company is passing through genuine issue of Absenteeism. The company has shared it dataset and requested to have an answer on the following areas: 1. What changes company should bring to reduce the number of absenteeism? 2. How much losses every month can we project in 2011 if same trend of absenteeism continues?
preecee/Employee_Absenteeism
preecee/NLP-Recommend_Shakespear
Here is a list of 154 sonnets from Shakespeare - https://docs.google.com/document/d/10lgjloePyqrzSMqB3JkNMSZWsivUzlXL84q3pV2s954/edit 1. You need to tag each sonnet with a keyword(most important, and frequently occurring) 2. You need to build an algorithm in python to show related sonnets(recommendation engine sort of)
preecee/NLP-to_be_or_not_to_be
The verb "to be", in its different forms, is one of the most commonly used building blocks of the English language. Given a paragraph of text in which some of the derivates of this verb have been blanked out. At various points in the text, occurences of 'am','are','were','was','is','been','being','be' have been blanked out and replaced with a series of four consecutive hyphens (----). Task is to identify which of these words can appropriately fill up these blanks.
preecee/records-research