nikhils10 Goto Github PK

a-b-testing-and-experimentation

Work in progress will be posted soon.

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.

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.

nikhils10.github.io

Contains assets to host website that provides movie recommendations.

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.

test_repo

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.