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Sep 4, 2025 - Python
ΠΠΎΠΌΠ°Π½Π΄Π½ΡΠΉ ΡΠ΅ΠΏΠΎΠ·ΠΈΡΠΎΡΠΈΠΉ.
Welcome to the Multiverse of Data Science β 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
Ethereum Fraud Detection Models
This Repo contains tools that allow us to import, clean, manipulate, and visualize data βIncludes 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 pmdarimaβs 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.
ΠΡΠ΅ ΠΎ ΠΌΠ°ΡΠΈΠ½Π½ΠΎΠΌ ΠΎΠ±ΡΡΠ΅Π½ΠΈΠΈ ΠΈ Π½Π΅ ΡΠΎΠ»ΡΠΊΠΎ...
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
π Data π Scientist π is a curated π end to end π showcasing π real world β data science π projects πΈ machine π learning π models and β΄ data π³ engineering πΈ workflows π€ From data πΌ wrangling to π deployment this π repo is proof β of work and β± personal π lab everything π³ data driven β½ Classification βΎ regression π₯ clustering NLP
A list of Incomplete Interview Questions (Python and Data Science only )
This project uses supervised machine learning techniques with multiple regression models to predict CO2 emissions in Canada, it includes data cleaning, encoding, analyzing and visualization to identify patterns, resulting in a model that can make accurate predictions.
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