Pinned Repositories
Apache-Spark-Programming-Developer-Associate
apache-spark-programming-with-databricks
basic_stat
Конспект лекций по курсу "Основы статистики"
catboost_
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
competitive-data-science
Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course
coursera_How-to-Win-a-Data-Science-Competition-Learn-from-Top-Kagglers
Labs and Project from the course "How to Win a Data Science Competition: Learn from Top Kagglers"
Coursera_yandex_courses
Machine learning
Data-Analysis-with-Python
data-engineering
Getting Started with Data Enngineering
data-science
Free Data Science course 4everyone
FaritR's Repositories
FaritR/Apache-Spark-Programming-Developer-Associate
FaritR/apache-spark-programming-with-databricks
FaritR/basic_stat
Конспект лекций по курсу "Основы статистики"
FaritR/catboost_
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
FaritR/competitive-data-science
Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course
FaritR/coursera_How-to-Win-a-Data-Science-Competition-Learn-from-Top-Kagglers
Labs and Project from the course "How to Win a Data Science Competition: Learn from Top Kagglers"
FaritR/Coursera_yandex_courses
Machine learning
FaritR/Data-Analysis-with-Python
FaritR/data-engineering
Getting Started with Data Enngineering
FaritR/data-science
Free Data Science course 4everyone
FaritR/DE-101
Home Work
FaritR/dlisio
Python library for working with the well log formats Digital Log Interchange Standard (DLIS V1) and Log Information Standard (LIS79)
FaritR/getting-started-with-pyspark-ru
FaritR/grokking_algorithms
Code for the book Grokking Algorithms (https://amzn.to/29rVyHf)
FaritR/how-to-win-kaggle
How to Win a Data Science Competition: Learn from Top Kagglers
FaritR/Industrial-ML-cases
A review of repositories classified by a specific industrial problem with cases of applying ML in industry
FaritR/las-parser
Parser for .las file
FaritR/Learning_Pandas_russian_translation
FaritR/LearningPath
Learning repository
FaritR/LearningSparkV2
This is the github repo for Learning Spark: Lightning-Fast Data Analytics [2nd Edition]
FaritR/ml_examples
some projects taken from coursera
FaritR/mlcourse.ai
Open Machine Learning Course
FaritR/Petrophysics-Python-Series
A series of Jupyter notebooks showing how to load well log and petrophysical data in python.
FaritR/predictive-maintenance
Data Wrangling, EDA, Feature Engineering, Model Selection, Regression, Binary and Multi-class Classification (Python, scikit-learn)
FaritR/pyspark-style-guide
This is a guide to PySpark code style presenting common situations and the associated best practices based on the most frequent recurring topics across the PySpark repos we've encountered.
FaritR/PySparkCookbook
A repository for a PySpark Cookbook by Tomasz Drabas and Denny Lee
FaritR/SQL-for-beginners
FaritR/Synapse
Samples for Azure Synapse Analytics
FaritR/triple_combo_web_plotter
Web App to plot a LAS file in a Triple Combo Format
FaritR/tutorials
CatBoost tutorials repository