akshitvjain/realtime-twitter-trends-analytics

Stars
18
Rank 1,208,065 (Top 24 %)
Language
Scala
License
MIT License
Created over 4 years ago
Updated over 2 years ago

akshitvjain/realtime-twitter-trends-analytics

akshitvjain

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A big data project to develop a real-time data pipeline for analyzing the popularity and sentiments of trending topics on Twitter.

product-sales-forecasting

Forecasted product sales using time series models such as Holt-Winters, SARIMA and causal methods, e.g. Regression. Evaluated performance of models using forecasting metrics such as, MAE, RMSE, MAPE and concluded that Linear Regression model produced the best MAPE in comparison to other models

Jupyter Notebook

deeplearning-network-traffic

Network Traffic Identification with Convolutional Neural Networks

Jupyter Notebook

restaurant-finder-featureReviews

Build a Flask web application to help users retrieve key restaurant information and feature-based reviews (generated by applying market-basket model – Apriori algorithm and NLP on user reviews).

item-based-recommender

An item-based recommender model that computes cosine similarity for each item pairs using the item factors matrix generated by Spark MLlib’s ALS algorithm and recommends top 5 items based on the selected item.

customer-segmentation-marketing

Implement K-means and Hierarchical clustering algorithms to segment customers in order to gain insight into shopping behaviors, analyze product affinity, measure marketing effectiveness, and better allocate future marketing spend.