Python 3.6 & Django by https://ithillel.ua/ - completed Sertificate - completed
Scientific Computing and Python for Data Science Sertificate Applyed Data Science Module 1 with honor - completed
https://devrepublik.com/ Data Science bootcamp session 2019 - 2020
https://cs50.harvard.edu/ai/2020/ Online course - Sertificate
Homework and solution https://github.com/VolodymyrGavrysh/cs50_2020
The elements of Data Science Course 2020
https://www.aws.training/Transcript/CompletionCertificateHtml?transcriptid=2cOxyjcaWkyKDx5AekcVDg2
Programming Essentials in Python
https://weather-scan.herokuapp.com/ With machine learning algoritms weather scan is able to predict rain and other critical weather characteristics in 49 regions in Australia. It could be used for any other locations over the world.
https://stop-corruption.herokuapp.com/
Course | Topics | Status |
---|---|---|
cs231n http://cs231n.stanford.edu/syllabus.html | CNN | 2d homework |
cs50 ai https://cs50.harvard.edu/ai/2020/ | AI | completed |
cs229 http://cs229.stanford.edu/syllabus.html | ML | in progress |
cs121 Introduction to Theoretical ComputerS | + Introduction to AI | in progress |
cs50 Introduction to Computer Science | Computer Science | in progress |
cs 161 http://web.stanford.edu/class/cs161/ | Design Analysis Algorithms | in progress |
cs124 Algorithms | Algorithms | in progress |
AdaBoost own class implementation¶ https://github.com/VolodymyrGavrysh/My_RoadMap_Data_Science/blob/master/data_analysis/Adaboost_own_class.ipynb
Diabetes 130-US hospitals for years 1999-2008 Data Set¶ https://github.com/VolodymyrGavrysh/My_RoadMap_Data_Science/blob/master/data_analysis/Diabetes%20130-US%20hospitals%20for%20years%201999-2008%20Data.ipynb
Hear_Disease_Data_Exploration https://github.com/VolodymyrGavrysh/My_RoadMap_Data_Science/blob/master/data_analysis/Hear_Disease_Data_Exploration.ipynb
Statistical_Tests_Significance_testing_AB_Testing_Simpson_paradox https://github.com/VolodymyrGavrysh/My_RoadMap_Data_Science/blob/master/data_analysis/Statistical_Tests_Significance_testing_AB_Testing_Simpson_paradox.ipynb
Titanic_analysis https://github.com/VolodymyrGavrysh/My_RoadMap_Data_Science/blob/master/data_analysis/Titanic_analysis.ipynb
Transactions dataset research task. https://github.com/VolodymyrGavrysh/My_RoadMap_Data_Science/blob/master/data_analysis/Transactions%20dataset%20research%20task.ipynb
Task for Data Scientist - Analyze reddit group¶ https://github.com/VolodymyrGavrysh/My_RoadMap_Data_Science/blob/master/data_analysis/reddit_analysis_task.ipynb
all here https://github.com/VolodymyrGavrysh/DataCamp_projects
Course & projects | Topics | Status |
---|---|---|
Network analysis of Game of Thrones | Projects | completed |
New Era of Data Analysis in Baseball | Projects | completed |
Visual History of Nobel Prize Winners | Projects | completed |
- +30 others completed projects (here https://github.com/VolodymyrGavrysh/DataCamp_projects)
https://mlcourse.ai/rating official page
5th session 2019, 368th from 2360 participants https://docs.google.com/spreadsheets/d/15e1K0tg5ponA5R6YQkZfihrShTDLAKf5qeKaoVCiuhQ/edit#gid=0
4th session 2018, 384th place from 2200 participants https://docs.google.com/spreadsheets/d/19AGEhUQUol6_kNLKSzBsjcGUU3qWy3BNUg8x8IFkO3Q/edit#gid=0&range=A384
Professional career on LinkedIn https://www.linkedin.com/in/volodymyrgavrish/
Account on Kaggle https://www.kaggle.com/volodymyrgavrysh
DataCamp account&progress https://www.datacamp.com/profile/VolodymyrGavrysh
Course & projects | Topics | Status |
---|---|---|
Python Programmer for DS | CAREER TRACK, 23 courses | completed |
Data Scientist with Python | CAREER TRACK, 22 courses | completed |
Data Analyst with Python | Python for DS 4 courses | completed |
Machine Learning with Python | SKILL TRACK 4 courses | completed |
Statistics Fundamentals | SKILL TRACK 4 courses | completed |
Deep Learning in Python | course | completed |
Supervised Learning scikit-learn | course | completed |
Building Chatbots in Python | course | completed |
Unsupervised Learning in Python | course | completed |
Advanced Deep Learning by Keras | course | completed |
Course & projects | Topics | Status |
---|---|---|
Data Visualization | SKILL TRACK 4 courses | completed |
Big Data Fundamentals via PySpark | course | inprogress |
Extreme Gradient Boosting with XGBoost | course | inprogress |
Deep Learning with Keras in Python | course | completed |
Convolutional Neural Networks for Image | course | completed |
Machine Learning with Tree-Based Modele | course | inprogress |
Deep Learning with PyTorche | course | completed |
Customer Analytics & A/B Testing in Py | course | inprogress |
Winning a Kaggle Competition in Python | course | completed |
Unit Testing for Data Science in Python | course | inprogress |
hackathons and competitions |
---|
Deloitte Touche. sentiment analysis 2018. member of team. |
Vodafon. customer base analysis 2018. https://www.kaggle.com/c/aibooster-vodafone-music-challenge |
Links |
---|
'Testing the null hypothesis using bootstrapping on the example of salaries of Ukrainian programmers' |
Introduction to Finance https://www.coursera.org/api/legacyCertificates.v1/spark/statementOfAccomplishment/112~698735/pdf Foundations of Business Strategy https://www.coursera.org/api/legacyCertificates.v1/spark/statementOfAccomplishment/971029~698735/pdf Engaging Citizens: A Game Changer for Development? https://www.coursera.org/api/legacyCertificates.v1/spark/statementOfAccomplishment/976482~698735/pdf