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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

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.

cv

data-analysis

Data Science Using Python

dataanalyst-nanodegree

Data Science Portfolio - DAND - Udacity - Projects -Data Analytics

deploying-machine-learning-models

Code for the online course "Deployment of Machine Learning Models"

dotfiles

Default configuration for Le Wagon's students

feature-engineering-for-machine-learning

Code Repository for the online course Feature Engineering for Machine Learning

feature-selection-for-machine-learning

Code Repository for the online course Feature Selection for Machine Learning

flask_api

Creating a Machine Learning API using Flask - Repository for AV Article

fundamentals

Fundamentals of data exploration, data manipulation, data cleaning, and data analysis

handcalcs

Python library for converting Python calculations into rendered latex.

hands-on-data-science-for-marketing

hands-on-data-science-for-marketing-1

Hands-On Data Science for Marketing, published by Packt

hands-on-gradient-boosting-with-xgboost-and-scikit-learn

Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt

hyperparameter-optimization

interpretable-ml-book

Book about interpretable machine learning

kaggle-american-express-default-prediction-1st-solution

karpov_courses

🐳 Проектная деятельность. Здесь хранятся лекции, практические задания и проекты с karpov_courses. Ссылка: https://karpov.courses/

machine-learning-imbalanced-data

Code repository for the online course Machine Learning with Imbalanced Data

machine_learning_examples

A collection of machine learning examples and tutorials.

ml_hacks

Приёмы в машинном обучении

my-travel-plans