Showing results for Apprentice Product Product
GitHub Repo
https://github.com/davidcardd1/apprentice-2022
davidcardd1/apprentice-2022
Code and other files product of my SWE Apprenticeship at Encora
GitHub Repo
https://github.com/GunaPalanivel/build-to-scale
GunaPalanivel/build-to-scale
This repository documents a comprehensive, metrics-driven 6-month learning journey designed to transform a software engineering graduate into a top 0.0001% candidate ready for elite product companies (FAANG, Stripe, Uber, etc.) and the ThinkBridge Software Engineer Apprentice Program.
GitHub Repo
https://github.com/jpeddicord/apprentice-idea
jpeddicord/apprentice-idea
adaptation of https://github.com/romainl/Apprentice for JetBrains products (IntelliJ IDEA, WebStorm, etc)
GitHub Repo
https://github.com/AlexPerucchini/ios_apprentice
AlexPerucchini/ios_apprentice
https://store.raywenderlich.com/products/ios-apprentice
GitHub Repo
https://github.com/makoto00000/apprentice_original_product
makoto00000/apprentice_original_product
No repository description available.
GitHub Repo
https://github.com/WatCal3758/product-landing
WatCal3758/product-landing
Assignment Six of Code Apprentice
GitHub Repo
https://github.com/liviamranieri/apprentice-chef
liviamranieri/apprentice-chef
Apprentice Chef, Inc. is an innovative company with a unique spin on cooking at home. Developed for the busy professional that has little to no skills in the kitchen, they offer a wide selection of daily-prepared gourmet meals delivered directly to your door. Each meal set takes at most 30 minutes to finish cooking at home and also comes with Apprentice Chef's award-winning disposable cookware (i.e. pots, pans, baking trays, and utensils), allowing for fast and easy cleanup. Ordering meals is very easy given their user-friendly online platform and mobile app. Case Challenge Part I (Individual Assignment 1) After three years serving customers across the San Francisco Bay Area, the executives at Apprentice Chef have decided to take on an analytics project to better understand how much revenue to expect from each customer within their first year of using their services. Thus, they have hired you on a full-time contract to analyze their data, develop your top insights, and build a machine learning model to predict revenue over the first year of each customer’s life cycle. They have explained to you that for this project, they are not interested in a time series analysis and instead would like to “keep things simple” by providing you with a dataset of aggregated customer information. Case Challenge Part II (Individual Assignment 2) In an effort to diversify their revenue stream, Apprentice Chef, Inc. has launched Halfway There, a cross-selling promotion where subscribers receive a half bottle of wine from a local California vineyard every Wednesday (halfway through the work week). The executives at Apprentice Chef also believe this endeavor will create a competitive advantage based on its unique product offering of hard to find local wines from smaller vineyards. Halfway There has been exclusively offered to all of the customers in the dataset you received, and the executives would like to promote this service to a wider audience. They have tasked you with analyzing their data, developing your top insights, and building a machine learning model to predict which customers will subscribe to this service.
GitHub Repo
https://github.com/Phan-Git/Apprentice-Chef
Phan-Git/Apprentice-Chef
My final model is Ordinary Least Square (Linear Least square) because it could balance the trade-off between variance and bias; my final model will be consistent. The final model’s highest R-Square value is 0.903 for training and 0.902 for testing. In other words, Correct prediction is 90,2% of the holdout data, 25% of the dataset. First of all, the in-depth analysis indicates a strong increasing trend from attendance at master class and revenue. However, the trend seems downward after our users attended more than two classes. Our final model features a remarkable positive correlation: 62.7260. The effectiveness of our marketing activity: Master Class for consumers is considered as “Customer Education” (Okeke, 2020), which is a constant process aiming to equip our customers with knowledge and skill to gain the greatest advantage of our products. Although it totally fits with the value proposition of Apprentice Chef’s, the negative impact is unavoidable. If our users gain enough knowledge and experience, they achieve independence from our services. The second insight relates to two variables which are Unique Meal Purchase and Spending based on categories. Our customers tend to focus on particular meals, the revenue decreases as unique meal increases. A possible explanation is the learning curve, users will be more fluent in cooking a specific meal and their quality also improves. However, a part of our potential customers mostly focus on only one meal, the amount of expenditure is up to $8,800 for a single meal. It implies an opportunity that we could diversify customers’ orders and provide more “unique” values to them. Let us now consider an actionable recommendation, which improves UNIQUE MEAL PURCHASE, it directly improves $48.9631 of Revenue for each meal unit. Furthermore, the scatterplot of the explanatory variable and the response indicates that an increasing variety of meals purchased (more than 10) could lift the revenue upward. With the aim of increasing the unique meal purchased, a possible solution is educating customers: Master Class variable. My recommendation is to offer free first two masterclasses, it helps our customers gaining more knowledge about cooking and using the app. At the same time, it builds customer trust, customers are more likely to trust brands that devote effort to share understandings and enhance their knowledge; additionally, the class is a tool to reduce complaints. (Pine, Peppers and Rogers, 2020) At the same, innovative technology could be applied; the optimal one is Augmented Reality instruction. The technology could transform our customer journey; we provide instructions to the user in a real-time & interactive manner. References Okeke, K. (2020). [online] Available at: http://www.cxservice360.com/2017/11/29/educating-customers-benefits-achieve/ [Accessed 27 Jan. 2020]. Pine, B., Peppers, D. and Rogers, M. (2020). Do You Want to Keep Your Customers Forever?. [online] Harvard Business Review. Available at: https://hbr.org/1995/03/do-you-want-to-keep-your-customers-forever [Accessed 27 Jan. 2020].
GitHub Repo
https://github.com/Alexanderjoeyhui/master-apprentice
Alexanderjoeyhui/master-apprentice
M&A is a designer and craftsman based in Newcastle upon Tyne making fine casual waistcoats by hand. I built this website to showcase its products, and the story behind the brand.
GitHub Repo
https://github.com/Dhanalakshmi-ravi/Oracle-Fusion-ERP-Process-Workflows