bohaterewicz Goto Github PK
Name: hero
Type: User
Company: 1010data
Bio: After Ph.D., I transitioned from Cognitive Neuroscience to the industry. I developed a strong passion for Time Series forecasting and using Machine Learning.
Location: Kraków
hero's Projects
customer-retention
The aim was to calculate retention index, understood as a engagement (in days) grouped by the type of the ad campaign, as well as to create a simple line plots.
digital_turbines_auction_bid_price_prediction
Digital Turbine's Auction Bid Price Prediction!
does-engagement-at-work-prevent-burnout-statistical-approach
The work is titled: "Does Engagement at Work Prevent Burnout?" and it was made as a part of dissertation project in Psychology Department.
forecasted-proportional_index-new-measure-for-high-level-data-quality-assurance
High-level information such as: number of panelists each day, can be used in order to identify outlier periods by using simple transformations and indexes. The project is a practical example of identifying outlier months based on number of participants for each day in order to assure the data quality.
sales_forecasting_model
The aim was to create and implement a predictive model that can forecast the number of items sold for a period of 8 weeks ahead.
sodastream-vs-bottled-water-cost-prediction-arima-model
The aim was to predict how much money can be saved by using Sodastream as compared to bottled sparkling water, and how fast can investment be returned. The simple prediction was done using Autoregressive integrated moving average.
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