Командный репозиторий.

Welcome to the Multiverse of Data Science — a comprehensive, ever-expanding collection of over 100 real-world projects covering the entire data science pipeline!

Data science, machine learning books and resources

Analyzing the safety (311) dataset published by Azure Open Datasets for Chicago, Boston and New York City using SparkR, SParkSQL, Azure Databricks, visualization using ggplot2 and leaflet. Focus is on descriptive analytics, visualization, clustering, time series forecasting and anomaly detection.

70+ DataCamp Course Notes, Projects, Codes, Exercises on Python, R and SQL with full DS & ML Certification,

This project analyzes and visualizes the Used Car Prices from the Automobile dataset in order to predict the most probable car price

This Repository contains the real life use cases of GenAI (LLM+RAG) in Finance Domain. I covers many projects use cases with theory and projects.

a tool for comparing the predictions of any text classifiers

🚂 Data 🚃 Scientist 🚋 is a curated 🚑 end to end 🚒 showcasing 🚞 real world ✈ data science 🚀 projects 🛸 machine 🚁 learning 🚟 models and ⛴ data 🛳 engineering 🛸 workflows 🚤 From data 🛼 wrangling to 🚒 deployment this 🚝 repo is proof ☂ of work and ⛱ personal 🛑 lab everything 🎳 data driven ⚽ Classification ⚾ regression 🥎 clustering NLP

Ethereum Fraud Detection Models

This Repo contains tools that allow us to import, clean, manipulate, and visualize data —Includes Python libraries, like pandas, NumPy, Matplotlib, and many more to work with real-world datasets to learn the statistical and machine learning techniques.

Demonstrating the efficiency of pmdarima’s auto_arima() function compared to implementing a traditional ARIMA model.

The dataset builder script extracts the most relevant market data straight from Binance's API and builds a series of datasets that can be used in data science and machine learning projects.

Все о машинном обучении и не только...

A credit scoring web app based on an ML model trained on relevant data.

Data Career Handbook for all

Learn Retrieval-Augmented Generation (RAG) from Scratch using LLMs from Hugging Face and Langchain or Python

I’ll break down how hyperpersonalization is reshaping industries, from finance to banking, and how you can build your very own hyperpersonalization web app using Python, Machine Learning, Generative AI (GenAI), and open-source LLMs from Hugging Face.

A list of Incomplete Interview Questions (Python and Data Science only )