Forecast Energy Consumption - ARIMA, PROPHET, LSTM

Forecasting energy consumption can be crucial to have a sense of how much energy/power needs to be produced. The objective of this work is to predict future monthly energy consumption from time-series data. The data includes hourly energy consumption of different states in the US collected by a regional transmission organization - PJM. Different exploratory data analysis are performed on the data to detect the daily, weekly, monthly, and yearly trends.

March 30, 2017

Price Forecasting - Facebook Prophet

The objective of this project is to forecast the future price of Avocado. The data presents a time series of the average Avocado price of different regions in the US over 4 years timeline. The data from the years 2015-2017 have been used to forecast the average price of Avocado in 2018. Different exploratory data analysis (EDA) has been performed to gain insights from the data. EDA included: analyzing distributions (violin plot), regions affecting price hike (box plot), and trends (line plot).

March 29, 2017

Stroke Prediction - Spark, MLib

The objective is to predict brain stroke from patient’s records such as age, bmi score, heart problem, hypertension and smoking practice. The dataset includes 100k patient records. Among the records, 1.5% of them are related to stroke patients and the remaining 98.5% of them are related to non-stroke patients. Therefore, the data is extremely imbalanced. The dataset is collected from https://bigml.com/dashboard/dataset/5e92c6d14f6bfd2dd00044a9 Dataproc and Google Cloud Platform is used to set up spark clusters.