Projects
Project Name : Bigmart Sales Prediction
Domain : Finance
Description:
The data scientists at BigMart have collected 2013 sales data across multiple stores in different cities. Also, certain attributes of each product and store have been defined. The aim is to build a predictive model and find out the sales of each product at a particular store.Using this model, BigMart will try to understand the properties of products and stores which play a key role in increasing sales.
Responsibilities:
● Collaborated with colleagues on development and implementation of machine learning models
● Identify Solve interesting problems involving rich datasets in various domains.Accordingly, create capstone projects on the evolving use cases in the industry
● Identify key emerging trends in the industry and maintain a rich reference material
● Assist program manager to formulate the data analysis problems
● Identify key reporting metric sand create dashboards to enable quick decision making
Project Name :Stock Market Predictions and Forecasting using stacked LSTM
Domain : Finance
- The objective of the project is to forecast next 30 days share value of a company by using previous share value dataset.
- The stock data is collected from the pandas data reader library.
- Data visualization is done to get proper insights from data.
- Min-Max Scaler is used to transform the feature into the scale 0 to 1.
- Further applying stacked LSTM to train the model.
