extremesarova / introduction-to-competitive-data-analysis Goto Github PK

I'm a skilled Data Scientist with more than 4 years of experience in data science. I've helped companies optimize their current AI solutions and implement new ones.

I get excited about new opportunities where I can apply my skills to create solutions that help businesses achieve their goals and improve the lives of end users.

I love connecting with new people. You can reach me at [email protected].

My CV can be found here.

The Pillars of Data Science

I've created a site on Notion where I have been developing two differently styled roadmaps based on the links I share on this telegram channel.

Both guides contain the same information but are formatted differently for your convenience.

The first roadmap is called Topic Guides.
These guides are focused on topics like Machine Learning and then split into knowledge levels and resource types. Thus, you can use them if you want to focus on a specific topic and deepen your knowledge.

The second roadmap is called Content Type Guides.
These guides are targeted by resource type, such as Courses, and then divided into topics and knowledge levels. So you can use them if you prefer a certain type of resource and want to expand your knowledge.

This site is updated as new links are posted.

• Research on the quality of localization of movie titles
• (Not IMDb) Movie Reviews Dataset EDA
• Text Classification: Baseline with TF-IDF and Logistic Regression
• Preparing the Sentiment Classifier for Deployment with FastAPI and Docker

• Part 1: Live Coding: Russian, English
• Part 2: Classic Machine Learning: Russian, English
• Part 3: Specialized Machine Learning: Russian, English

• Projects:
  • Shows Analysis:
    • Parsing Shows
    • Research on the quality of localization of movie titles
    • Sentiment Classifier Deployment with FastAPI and Docker
  • Mini projects
• Courses:
  • CS224n: Natural Language Processing with Deep Learning
  • YSDA Natural Language Processing course
  • MLCourse assignments
• Other:
  • Machine Learning Algorithms From Scratch
  • Data Science Resources

• Comparison of Machine Learning Methods for Analysis of Ulcerative Colitis Proteomic Data
• Parenclitic Network Analysis of Methylation Data for Cancer Identification