riddhi2000 Goto Github PK

coding-interview-university

A complete computer science study plan to become a software engineer.

competitive-programming

cosmos

[Show :heart: love by 🌟] Your personal library of every algorithm and data structure code that you will ever encounter

hacktoberfest-2k17

Official Repository for Hacktoberfest 2k17 NITK Edition meetup conducted at NITK Surathkal in collaboration with Team Engineer. Credits to @jenkoian for the Hacktoberfest Checker @rohitvarkey for the PDF for Tuesday's talk!

hacktoberfest-census

A census of those participating in Hacktoberfest (and an easy PR!)

hacktoberfest-sign-in

Beginner friendly. Easy Pull Request! .

imdb-rating-prediction

ML project and paper to predict movie ratings

lan_file_sharing

linux-shell

machine-learning-movie-rating-prediction

A Machine Learning project to predict movie ratings

machine-learning-tutorials

machine learning and deep learning tutorials, articles and other resources

movie-rating-prediction

movie-rating-prediction-1

A regression system was designed that predicts the IMDb rating of a movie. A movie viewer would otherwise have to rely on a critic's review or self-instincts. A dataset, obtained from Kaggle, contains certain attributes (such as genre, duration, names of actor, director, number of voters for the rating, plot and keywords, language, etc.) and performance rating of over 5000 movies. On observation, the dataset is preprocessed in order to fill missing data and convert categorical features to numerical. Several hypotheses are selected and a few not chosen due to unfavorable conditions observed. A 5-fold cross-validation on the hypotheses set exhaustively searches for the most optimum hyperparameters of the model with the least MSE and helps curtail overfitting. Random forest regressor is chosen due to its low MSE and simplicity. The model is retrained and gives a better coefficient of determination on the test set when compared to previous techniques on Kaggle. Software: Python with use of Scikit-learn library

pastry-distributed-hash-table

predictive_text_embedding

Generating Word2Vec (Text embeddings) - for large scale heterogenous networks

riddhi2000.github.io

serverlessplatform

An application-Platform-as-a-service (aPaas) which supports Function-as-a-service (Faas)

wikipedia-search-engine