shreyaswankhede Goto Github PK
Name: Shreyas Wankhede
Type: User
Bio: Data Science Enthusiast | Computer Engineer.
Location: Mumbai
Shreyas Wankhede's Projects
airbnb_rental_price_prediction
The objective of this project is to model the prices of Airbnb appartments in London.The aim is to build a model to estimate what should be the correct price of their rental given different features and their property.
club-mahindra-dataolympics-hackathon
The Objective of this hackathon is to predict the Amount spent per room night having different set of features in the dataset.
h1-b-visa-prevailing-wage-prediction
The objective of this project is to predict the prevailing wage that is at optimum.
imdb-sentiment-analysis-using-neural-network
The objective of this task is to perform Sentiment Analysis of IMDB Movie Reviews using LSTM.
imdb-web-scraping-and-sentiment-analysis
The objective of this project is to scarp the data from IMDb website and form an analysis that will help data analyst or production company to decide how they are going to proceed with making a new movie, second is to form a model to predict what are the sentiments of movies based on user reviews.
ltfs-data-science-finhack-ml-hackathon
The objective of this project is to predict the probability of loanee or borrower defaulting on a vehicle loan in the first EMI (Equated Monthly Instalments) on the due date.
movielens-recommendation-system
The objective of this task is to recommend new movies based on the similarity of users, using collaborative filtering.
northwind-sales-analysis
The primary objective of the project is to Analyse sales for Northwind data using QlikSense & Tableau.
santander-customer-transaction-prediction
The task is to predict the value of target column in the test set.
sentiment-analysis-on-online-product-reviews
The objective of this project is to classify whether upcoming product will have positive or negative Sentiment.
twitter-sentiment-analysis-in-python
The objective of this task is to detect hate speech in tweets. Tweet contains negative/hate sentiments as well as positive sentiments. So, the task is to classify negative tweets from other tweets. Given a training sample of tweets and labels, where label '1' denotes the tweet is negative and label '0' denotes the tweet is not negative. The objective is to predict the labels on the test dataset.
video-game-sales-analysis
The objective of this project is to perform Sales Analysis for Video Games Dataset in RShiny and to find different insights by performing visualizations with respect to year, publishers, global sales and Genre.
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