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“Fantastic Machine Learner”tintedsepia 1 месяц назад
Project for frankoziga -- 2
“He puts all his best in doing any work”geraldodinukwe 2 месяцев(-а) назад
String classification - Create a code to guess ethnicity of person based on their name
“Perfect work! I hope to work with him again!”jv16 4 месяцев(-а) назад
Debug a python data analysis code
“Frank is well experienced and never disappoint. He always delivers job efficiently even before the due time.”geraldodinukwe 7 месяцев(-а) назад
Project for frankoziga
“Very skilled in machine learning and python, thanks!”nparghi 8 месяцев(-а) назад
Project for frankoziga
“He delivers job very fast and communicates very well with his client”geraldodinukwe 9 месяцев(-а) назад
Black-jack bot with advanced card counting systemDec 2017 - Aug 2018 (8 months)
The main idea is to build a Black-jack game and 2 models (game decision model, betting model) which we will train with Deep mind's Deep Q learning algorithm. The goal is to train game decision model which will play like a decision table that you get in a casino and betting model that will bet just like count carding expert. Game decision model shows basic playing with cards and betting model beats the game with 42% of return when 1000bets are made.
Executor - manufacture optimizationJul 2017 - Nov 2017 (4 months)
Executor is a system of mine, which I build for our family business. Idea is to create interaction between manufacture and office in which model generates the best sequence of products, which needs to be done, for all machines. The system also allows you to track work of workers, alarms when you need to restock some product, pay stimulation, manufacture analysis...
MerlinMay 2017 - Jun 2017 (1 month)
Project Merlin I've created on my own. The task was to predict end odds of a game from a particular league to a particular bookmaker. The middle conclusion was that there was too little data because you would need end result of a games which I didn't have. We decided to continue my work and try to predict end odd based on all bookmakers. The end result was that I've managed to discover from which bookmaker bookmakers take their odds for a particular league.
Fraud detection systemApr 2017 - May 2017 (1 month)
There was already settled project Fraud detection system for football matches which I had to improve. First, there was testing on different models and checking if there is a difference between normalizing parameters on full data and on training data. The last task was to find new features which will improve the model. The end result was that I improved model from 92% of accuracy to 95%.
Deep learning specialization (2018)Coursera
The Deep Learning Specialization is designed to prepare learners to participate in the development of cutting-edge AI technology, and to understand the capability, the challenges, and the consequences of the rise of deep learning. Through ve interconnected courses, learners develop a profound knowledge of the hottest AI algorithms, mastering deep learning from its foundations (neural networks) to its industry applications (Computer Vision, Natural Language Processing, Speech Recognition, etc.).
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