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  • 👋 Hi, I’m @SamuelOtisi
  • 👀 I’m interested in Data Analytics/ Data science
  • 🌱 I’m currently learning Predictive Analytics for business on udacity
  • 💞️ I’m looking to collaborate on LinkedIn

Samuel Otisi's Projects

about icon about

Config files for my GitHub profile.

alx-pre_course icon alx-pre_course

I'm now a ALX Student, this is my first repository as a full-stack engineer

alx-zero_day icon alx-zero_day

I'm now a ALX Student, this is my first repository as a full-stack engineer

create_analytical_dataset icon create_analytical_dataset

Pawdacity is a leading pet store chain in Wyoming with 13 stores throughout the state. This year, Pawdacity would like to expand and open a 14th store. The manager has asked to perform an analysis to recommend the city for Pawdacity’s newest store, based on predicted yearly sales.

predicting_catalog_demand icon predicting_catalog_demand

In this project, you will analyze a business problem in the mail-order catalog business. You're tasked with predicting how much money your company can expect to earn from sending out a catalog to new customers. This task will involve building the model and applying the results in order to provide a recommendation to management.

predicting_diamond_prices icon predicting_diamond_prices

A jewelry company wants to put in a bid to purchase a large set of diamonds, but is unsure how much it should bid. In this project, in this project I have used the results from a predictive model to make a recommendation on how much the jewelry company should bid for the diamonds. Every file and code for this project is found on my Github repository attached above on project URL section.

pycaret icon pycaret

An open-source, low-code machine learning library in Python

rasa icon rasa

💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

thinkstats2 icon thinkstats2

Text and supporting code for Think Stats, 2nd Edition

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