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18 Ιαν 2024 · This blog provided a step-by-step guide on using machine learning for pricing optimisation. The example used a linear regression model, but the principles apply to more advanced models as...
A machine learning model to predict the selling price of goods to help an entrepreneur understand important pricing factors in the industry. Highly comprehensive analysis with all data cleaning, exploration, visualization, feature selection, model building, evaluation, and assumptions with validity steps explained in detail.
31 Μαρ 2019 · Sending discount codes to selected customers to increase profits. TL;DR in this part you will build a Logistic Regression model using Python from scratch. In the process, you will learn about the Gradient descent algorithm and use it to train your model.
Code. Issues. Pull requests. A project of using machine learning model (tree-based) to predict short-term instrument price up or down in high frequency trading. machine-learning random-forest hft high-frequency-trading light-gbm price-prediction. Updated on Sep 27, 2019. Python. omerbsezer / CNN-TA. Star 115. Code. Issues. Pull requests.
7 Αυγ 2017 · In this paper, we show how to apply machine learning to pricing and discounts. The goal is to create the optimal discounting strategy, which results in maximizing the total retail income. To do this, we use machine learning to predict sales based on given combination of discounts, and then we formulate and solve a mathematical model that allows ...
main. README. Maximizing Revenue with Personalized Coupon Recommendations. In 2020, U.S. retailers distributed over 470 billion coupons for packaged consumer goods. At the same time, less than 1 percent of the coupons issued were redeemed (Statista, 2021). Yet, 90 percent of all consumers use coupons, 43 percent of them regularly (very often).
30 Μαρ 2020 · example code: sns.regplot(x=’brand_mean_price’, y=’price’, data=train, scatter_kws={‘alpha’:0.3}, line_kws={‘color’:’orange’}) Features such as brand_mean_price, brand_median price, subcat2_mean_price, subcat2_median_price show strong linear trends.
