Noza8828
Highly analytical and motivated data scientist with 5+ years of experience in collecting, organizing, analyzing and interpreting various data.
Tokyo
Pinned Repositories
ab_test_guide_in_python
artificial-non-intelligence
Binary-Classification-in-Financial-Fraud-Using-Pycaret
Using pycaret machine learning automation library for financial fraud classification.
blog_codes
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.
causallift
CausalLift: Python package for causality-based Uplift Modeling in real-world business
causalml
Uplift modeling and causal inference with machine learning algorithms
Complete-Python-3-Bootcamp
Course Files for Complete Python 3 Bootcamp Course on Udemy
Noza8828's Repositories
Noza8828/ab_test_guide_in_python
Noza8828/artificial-non-intelligence
Noza8828/causallift
CausalLift: Python package for causality-based Uplift Modeling in real-world business
Noza8828/Customer-Analytics-in-Python
I use various Data Science and machine learning techniques to analyze customer data using STP framework. I preprocessed the data, performed segmentation, hierarchical clustering, k-means, PCA techniques with a lot of visualizations to segment and understand customer data. I have performed Purchase Analytics (both descriptive analysis and predictive analysis). Used deep learning to enhance my model.
Noza8828/DataAnalyst-NanoDegree
Data Science Portfolio - DAND - Udacity - Projects -Data Analytics
Noza8828/dotfiles
Default configuration for Le Wagon's students
Noza8828/feature-engineering-for-machine-learning
Code Repository for the online course Feature Engineering for Machine Learning
Noza8828/feature-selection-for-machine-learning
Code Repository for the online course Feature Selection for Machine Learning
Noza8828/flask_api
Creating a Machine Learning API using Flask - Repository for AV Article
Noza8828/fundamentals
Fundamentals of data exploration, data manipulation, data cleaning, and data analysis
Noza8828/hands-on-data-science-for-marketing
Noza8828/Hands-On-Data-Science-for-Marketing-1
Hands-On Data Science for Marketing, published by Packt
Noza8828/Hands-On-Gradient-Boosting-with-XGBoost-and-Scikit-learn
Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt
Noza8828/hyperparameter-optimization
Noza8828/machine_learning_examples
A collection of machine learning examples and tutorials.
Noza8828/ml_hacks
Приёмы в машинном обучении
Noza8828/noza_ml_project
The package desribes the ML project that I undertook at Le Wagon Data Science Bootcamp
Noza8828/powerbi-jupyter
A Custom Jupyter Widget Library for Power BI
Noza8828/Pricing-optimization-Model
Optimize revenues through pricing algorithm in python - Demand with uniform distribution
Noza8828/Programming-for-Data-Science-with-Python-Udacity-Nanodegree
This repository contains projects did for Udacity Programming For Data Science With Python Nanodegree.
Noza8828/pycaret-demo-tfmeetup
Introducing PyCaret 1.0 in TF Meetup
Noza8828/TaxiFareWebsite
Prediction app for taxi
Noza8828/zero-to-mastery-ml
All course materials for the Zero to Mastery Machine Learning and Data Science course.