nikhils10

nikhils10

Geek Repo

Github PK Tool:Github PK Tool

nikhils10's repositories

Multivariate-Analysis--Oil-Price-Prediction-Using-LSTM-GRU-

Comparing Long Term Short Memory (LSTM) & Gated Re-current Unit (GRU) during forecasting of oil price .Exploring multivariate relationships between West Texas Intermediate and S&P 500, Dow Jones Utility Avg, US Dollar Index Futures , US 10 Yr Treasury Bonds , Gold Futures.

Language:Jupyter NotebookStargazers:40Issues:2Issues:3

Time-Series-Forecasting-Apple-Stock-Price-Using-SARIMA-Prophet

Time Series forecasting using Seasonal ARIMA & Prophet. Applied statistical tests like Augmented Dickey–Fuller test to check stationary of series. Checked ACF ,PACF plots to identify Moving average and Auto-regressive order of series. Transformed series to make it stationary.

Language:Jupyter NotebookStargazers:20Issues:1Issues:1

Movie-Recommendation-Engine

Content based technique using features of movies like its title, director, top actors , genre . Word embeddings of 300 dimensions and generate cosine similarity matrix and find similar movies for that movie.User based, item based collaborative filtering . Singular Value Decomposition.

Language:Jupyter NotebookStargazers:1Issues:0Issues:0

A-B-Testing-and-Experimentation

Work in progress will be posted soon.

Stargazers:0Issues:0Issues:0

nikhils10.github.io

Contains assets to host website that provides movie recommendations.

Language:CSSLicense:NOASSERTIONStargazers:0Issues:0Issues:0

Sentiment-Analysis-and-Classification-of-US-Airlines-from-Passenger-Tweets

Sentiment Analysis and a Classification Problem solved using machine learning algorithms like Logistic Regression, Support Vector Machines, XgBOOST, Random Forests Classifier, Niave Bayes . Cleaned textual tweets using techniques like Lowercasing, Stopword Removal, Lemmatization. Applied word2Vec,by generating word embeddings using pre-trained word embeddings.

Language:Jupyter NotebookStargazers:0Issues:0Issues:0
Stargazers:0Issues:0Issues:0