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$40 USD / jam
Bendera SLOVENIA
ljubljana, slovenia
$40 USD / jam
Saat ini 3:57 PM di sini
Bergabung Maret 9, 2018
0 Rekomendasi

frankoziga

@frankoziga

5,0 (7 ulasan)
4,9
4,9
100%
100%
$40 USD / jam
Bendera SLOVENIA
ljubljana, slovenia
$40 USD / jam
100%
Pekerjaan Selesai
100%
Sesuai Anggaran
100%
Tepat Waktu
10%
Tingkat Rekrut Ulang

Data analytics and machine learning expert

I'm a programmer degree on the Faculty of Computer and Information Science at the University of Ljubljana. My journey started 9 years ago when I first got familiar with programming and started working on IOS and Android applications. After a few years in college, I started to learn more about optimization, machine learning and deep learning. • Tools: PyCharm, Eclipse, Sublime text, Jupyter notebook, LaTeX, Netbeans • Programming languages: Python (Advanced), Java(Advanced), Javascript, C, C++ • Machine learning libraries (for Python): Sklearn, Keras, Tensorflow • Data analysis tools: Pandas, Numpy • Web scraping: Selenium • Android applications • Machine learning algorithms: • Deep learning: Neural networks, CNN, RNN, LSTM, GRU • Text mining: NLP, word embeddings, tf-idf • Classification: NN, Logistic regression, Random Forest, SVM • Regression: SVR, Ridge regression, Lasso • Clustering: K-means, PCA, DBSCAN

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Ulasan

Perubahan tersimpan
Menampilkan 1 - 5 dari 7 ulasan
Filter ulasan menurut:
5,0
$1.885,00 USD
Fantastic Machine Learner
Python
Machine Learning (ML)
OCR
Neural Networks
Image Processing
T
Bendera Richard S.
@tintedsepia
5 tahun yang lalu
5,0
$25,00 USD
He puts all his best in doing any work
Python
Algorithm
Software Architecture
Machine Learning (ML)
+1 lagi
Avatar Pengguna
Bendera Gerald O.
@geraldodinukwe
5 tahun yang lalu
5,0
€30,00 EUR
Frank is well experienced and never disappoint. He always delivers job efficiently even before the due time.
Python
Machine Learning (ML)
Data Analytics
Avatar Pengguna
Bendera Gerald O.
@geraldodinukwe
6 tahun yang lalu
5,0
$250,00 USD
Very skilled in machine learning and python, thanks!
Python
Android
Software Architecture
Machine Learning (ML)
+1 lagi
N
Bendera N P.
@nparghi
6 tahun yang lalu

Pengalaman

Black-jack bot with advanced card counting system

Diploma
Des 2017 - Agu 2018 (8 bulan, 1 hari)
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 optimization

Sorex
Jul 2017 - Nov 2017 (4 bulan, 1 hari)
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...

Merlin

Sportradar
Mei 2017 - Jun 2017 (1 bulan, 1 hari)
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.

Kualifikasi

Deep learning specialization

Coursera
2018
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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