Qayslanewala/Unveiling-PCOS

Data Driven approach to get insights about PCOS

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MAH-22/Room-Occupancy-Prediction-using-Environmental-Sensor-Data

This project uses environmental sensor data to predict room occupancy, providing valuable insights for efficient energy management and space utilization in buildings. By analyzing factors like temperature, humidity, and light levels, the model aims to accurately forecast when rooms will be occupied, optimizing resources and enhancing overall buildi

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Mohammed-Saleh-Ishaq/Analysis-of-Indian-Food-Cuisine-Dataset

🥘 Indian Cuisine Analysis: A comprehensive data exploration and visualization project based on an Indian Food Cuisine dataset. Includes filtering, statistics, insights on preparation effort vs. ratings, outlier detection, and interactive plots using Python (Pandas, Matplotlib, Seaborn).

Language: Python - Size: 37.4 MB - Last synced at: about 4 hours ago - Pushed at: about 5 hours ago - Stars: 1 - Forks: 0

Saravanan9698/Clickstream_Customer_Conversion

Analyzes clickstream data from an e-commerce platform to predict customer conversions, estimate potential revenue, and segment users for personalized marketing strategies. By leveraging machine learning techniques, the project enhances decision-making for businesses seeking to optimize user engagement and sales.

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itsharshparmar/uber_data_analysis

Data analysis on Uber ride data using Python and visualization libraries.

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Quantum-Software-Development/statistical-measures

This repository contains a statistical analysis of customer service ratings for Biscobis Ltd

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1sumer/Python-Repo

This repository provides a detailed collection of Python scripts and notebooks for Implementing various EDA Project.

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mahnoorsheikh16/Credit-Card-Default-Prediction

This project focuses on predicting whether a customer will default on their credit card payment in the upcoming month. Utilizing historical transaction data and customer demographics, the project employs various machine learning algorithms to distinguish between risky and non-risky customers for better credit risk management.

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XYZ-404/SPPU-COMP-BE-SEM8-PRACTICALS

BE SEM 8 Assignments | SPPU Computer Engineering Sem 8 Codes LP-V

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MoMo790-m/Airbnb-Open-Data-ILECV

Exploratory analysis of NYC Airbnb data to uncover trends in room types, pricing, host activity, and neighborhood popularity.

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MoMo790-m/Black-Friday-sales-insights

A clean and insightful exploratory data analysis of Black Friday sales to uncover customer behavior, top-selling products, and sales patterns.

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MoMo790-m/Amazon-Sales-EDA

This project analyzes Amazon sales data to explore customer behavior, best-selling product categories, and seller performance by month and marketplace. Using Python tools like Pandas, Matplotlib, and Seaborn, we turn raw data into clear insights to support data-driven decisions.

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taanila/kaaviot

Kuvioita ja kaavioita Pythonilla (matplotlib, seaborn)

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LuthfiMirza/Membangun-Proyek-Machine-Learning

mengimplementasikan model klasifikasi berdasarkan hasil clustering dengan pendekatan

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Anonawa/marvel-character-analysis

Marvel character analysis using Python, focusing on roles and superpowers.

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KarimDaBoss/Predicting-Pneumonic-Plague-Dynamics-with-Google-Search-Trends

This project combines weekly epidemiological case counts of pneumonic plague in Madagascar (Aug–Nov 2017) with Google Trends data for related search terms to explore how online interest tracks—and even predicts—disease spread.

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2000pawan/Data_Science.

Complete Data Science, NumPy, Pandas, Matplotlib, Seaborn, Statistics, Power Bi, Machine Learning.

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pb319/Segment-Stream

A repository dedicated to the analysis of customer segmentation. This project aims to implement and evaluate various segmentation methodologies, drawing inspiration and techniques from current research in the field.

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AAdewunmi/Diabetes-Risk-Prediction-Project

Diabetes Risk Prediction (Data Science) Project: Tech Stack: Python, Pandas, Scikit-learn, Matplotlib, Seaborn, Scipy, Joblib

Language: Python - Size: 1.35 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

asier-ortiz/ai-course-notebooks

AI course Notebooks and Exercises

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CODEMONING/Wine-Quality-Prediction

This project aims to predict wine quality based on physicochemical properties. Using machine learning models including Random Forest and Gradient Boosting Classifier, this analysis identifies key factors affecting wine quality and builds a predictive model to classify wines.

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PPriyadarsini/Python-Projects

This repository is a collection of projects demonstrating my Python proficiency.

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ha-re-ram/AIML-Lab

This collection of hands-on experiments demonstrates core concepts in Artificial Intelligence and Machine Learning, implemented using Python. Each experiment includes source code, explanations, and sample outputs.

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Gaurav0502/daily-sales-forecasting

Forecasting daily total sales 🧾 of different gifting items 🎁 using holiday data 🎄, promotional sales data 🏷️ , and other time-series features 🕛.

Language: Python - Size: 1.87 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 1 - Forks: 0

Iyamaivan/Arab-Educational-Sites-To-Support-by-SamehDorgham

مواقع تعليمية عربية يُرجي دعمها - سامح درغام

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Gitu1212/us-flight-delay-eda

Structured EDA on 2015 US flight delay data. Clean, reproducible notebook using a 6-step data analysis framework for real-world datasets.

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busradeveci/marvel-character-analysis

Marvel character analysis using Python, focusing on roles and superpowers.

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zahra-ahmadbeigloo/Data-analysis-projects

This repository contains data analysis projects, exploring datasets with statistical insights, visualizations, and interactive dashboards. The projects include EDA (Exploratory Data Analysis), feature engineering, geospatial analysis, and interactive reports.

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minireference/noBSstats

Hands-on tutorials, exercises, and projects to accompany the No Bullshit Guide to Statistics

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XxKnightX/cryptoguardian

Cryptoguardian is a secure wallet application designed to protect your digital assets. It uses advanced encryption methods to ensure that your cryptocurrencies remain safe from unauthorized access.

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akbarnaeem/netflix-data-analysis

📊 Netflix Data Analysis and Visualization using Python (pandas, matplotlib, seaborn)

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parsabe/MLMatrix

This Repository includes all of Data Analysis and Data Science Projects that I have done or am going to do.

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piplagrivka/openclassrooms

Les projets effectués dans le cadre de la formation Data Analyst chez OpenClassrooms

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Fakay07/FRAUDULENT-TRANSACTION-DETECTION

(END-TO-END ML PIPELINE USING XGBOOST FOR FRAUD DETECTION. COVERS FEATURE ENGINEERING, SMOTE FOR IMBALANCE, AND SHAP FOR MODEL EXPLAINABILITY WITH 95%+ CLASSIFICATION ACCURACY.)

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ponnhide/patchworklib

Patchwork for matplotlib: A subplot manager for intuitive layouts in matplotlib, seaborn, and plotnine.

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fayzi-dev/machin_learning

Machin Learning Full Algorithm (Linear Regression, Decision tree, Random forest, Neural network ,Logistic regression ,Support vector machine ,Naive Bayes ,Clustering, XGBoost,DBscan,KMeans)

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KeneanDita/Exploratory-Data-Analysis-EDA-

Explore EDA on 5 datasets: Titanic , Heart Disease, Wine Quality, Car Price, and NBA Players. Includes data cleaning, preprocessing, and visualizations to uncover insights.

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pmehta2612/Netflix_EDA

Performed EDA on Netflix's content dataset using Python, to uncover trends in content type, genres, ratings, and regional distribution for strategic insights.

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localhostPIB/PythonPlayground

Playground of destruction :-D

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muhammadfahd/AI_DataScience_Journey

This repository documents my learning journey through the "6-Months AI and Data Science Mentorship Program" by Codanics, led by Dr. Ammar Ahmed.

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shan74267667/thermos-ai

An AI-powered thermal optimization and anomaly detection system for energy-efficient data centers. Note: this is a MVP

Language: Python - Size: 13.7 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 1 - Forks: 0

MoustafaMohamed01/ML-Projects

A collection of small and experimental machine learning projects covering supervised, unsupervised, and deep learning techniques. Each project explores different algorithms, datasets, and problem-solving approaches.

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Shivaay8055/Bank-Marketing-Data

Los datos se relacionan con campañas de marketing directo (llamadas telefónicas) de una entidad bancaria portuguesa. El objetivo de la clasificación es predecir si el cliente suscribirá un depósito a plazo (variable y).

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RoniF-pixel/Data-Analytics-Portfolio

This is my data analytics portfolio. Where I have documented my projects conducted through Python, r-studio, Tableau, Excel, and SQL,

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yajuop/BE-SEM-8

BE SEM 8 Assignments

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SuryaVamsi-P/Youtube-Trends-and-Tracks-Engagement

This project aims to leverage Python’s robust visualization libraries to derive deep insights from YouTube video trends data. Using the 'youtube.csv' dataset, this analysis explores the dynamics of YouTube video attributes such as views, likes, dislikes, and comment counts to understand user engagement and their emotional insights.

Language: Python - Size: 3.18 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

JonatanAgneDeFreitas/DataScience

MachineLearning/DataScience/IA...

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nishatPY/ADHD_recognition

ADHD_Recognition with personal voice

Language: Python - Size: 15.5 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

makoczoro/Credit-Default-Risk-Analysis-EDA

This repository contains the detailed EDA Analysis of Home Credit Group Dataset. The analysis aims to find demographic and financial factors associated with higher or lower default risks, providing actionable insights for risk mitigation and improved lending practices

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davutbayik/metacritic-games-sentiment-analysis

Sentiment analysis to Metacritic games reviews using a fine-tuned and pre-trained BERT model and visualizations using matplotlib, seaborn, plotly libraries.

Language: Jupyter Notebook - Size: 17 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

Manu-Martinez/prestamos-argentina

Análisis de préstamos en Argentina (abril 2025). Análisis de préstamos en Argentina (Feb-Abr 2025). 1,000 clientes ficticios, ingresos $165K-$2.79M, inflación 2.5%-3.7%. Préstamos pequeño/mediano/elevado (criterios flexibles). 2 dashboards en Tableau. Python, SQL. Proyecto para fintech, startups, e-commerce. #DataAnalytics

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khalidkhankakar/Data-Visualization

Learn the data visualization with python.

Language: Jupyter Notebook - Size: 721 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 3 - Forks: 0

Shayan1408/Machine_learning_predicts_laptop_prices

About This is a project on the laptop store dataset to predict laptop prices. Random Forest and XGBRegressor machine learning models are used.

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zalkklop/LVSM

Official code for "LVSM: A Large View Synthesis Model with Minimal 3D Inductive Bias" (ICLR 2025 Oral)

Language: Python - Size: 193 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

GRB55/Practicas

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shashankbharadwaj9/Business_Analytics_Portfolio

My portfolio showcases analytics projects and skills.

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trevismd/statannotations

add statistical significance annotations on seaborn plots. Further development of statannot, with bugfixes, new features, and a different API.

Language: Python - Size: 9.3 MB - Last synced at: 4 days ago - Pushed at: about 2 months ago - Stars: 746 - Forks: 77

MrbedrockV2/yt_trendingvidz_analysis

This repo contains a Python Jupyter Notebook analyzing insights into Youtube's Trending Videos, along with the dataset and a JSON file.

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AikoGamer101/Exploratory-Data-Analysis

Using Python to analyze a beauty product dataset. A complete EDA.

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burhanahmed1/VehicLens

Comprehensive automobile attribute prediction framework combining EDA, grid-searched polynomial regression, and ridge regularization to maximize predictive accuracy across diverse vehicular features.

Language: Jupyter Notebook - Size: 459 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 2 - Forks: 0

Code-Taweezy/thermos-ai

An AI-powered thermal optimization and anomaly detection system for energy-efficient data centers. Note: this is a MVP

Language: Python - Size: 14.6 KB - Last synced at: 5 days ago - Pushed at: 6 days ago - Stars: 1 - Forks: 0

burhanahmed1/TwitSpark

Advanced Twitter sentiment analysis pipeline using Apache Spark for distributed data processing, featuring TF-IDF–based feature engineering and stochastic gradient-descent classification for scalable, real-time sentiment insights.

Language: Jupyter Notebook - Size: 1.34 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 3 - Forks: 1

tangyudi/Ai-Learn

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

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noahnoahnoahtran/EDA

A compilation of EDA projects. Tech stack: Pandas, Numpy, Seaborn, Plotly, Python

Language: Jupyter Notebook - Size: 14.7 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

Abimathi03/Exploratory-Data-Analysis

Titanic Dataset: Data Cleaning & Exploratory Data Analysis (EDA)

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MoustafaMohamed01/students-performance

Data Analysis: Analyzing (Students Exam Scores) Dataset from kaggle

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ugyenn-tsheringg/Predicting-Loan-Defaults-with-Deep-Learning

A deep learning model to predict loan default probabilities for the African Credit Scoring Challenge.

Language: Jupyter Notebook - Size: 3.26 MB - Last synced at: 5 days ago - Pushed at: 6 days ago - Stars: 2 - Forks: 0

krishnamami/Markov_Chain_Attribution

Probabilistic attribution model using Markov Chains to optimize marketing spend and quantify true channel influence.

Language: Python - Size: 15.6 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

Shriniwas18K/Resources

This is repository contains files of my analysis made while learning technologies like react, react-router-v6 mui, numpy pandas, and even programming languages and many more stuff

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Prog-LucasAlves/AED_Consumidor_Gov_Br

Análise Exploratória dos dados do site https://www.consumidor.gov.br

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Ayan007JBond/Sensor-Data-Analytics

This notebook showcases a complete machine learning workflow—from data preprocessing to model evaluation—for a binary classification task. It includes key techniques like feature scaling, handling class imbalance, and threshold tuning to improve prediction accuracy.

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RebeccaMorolong/MTN-Customer-Churn-Prdiction

Language: Jupyter Notebook - Size: 178 KB - Last synced at: 5 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

ReusJimenez/bikebuyer-datawrangling-eda

Exploración y preparación de datos del dataset Bike Buyers, con foco en transformación de variables demográficas e identificar patrones en el comportamiento de compra de bicicletas. 🚴‍♂️📈

Language: Jupyter Notebook - Size: 3.18 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 1 - Forks: 0

RebeccaMorolong/TelecomPrediction

This repository contains a project that uses machine learning pipeline to analyze telecom customer data and predict the likelihood of churn, using a Logistic Regression model and advanced preprocessing techniques

Language: Jupyter Notebook - Size: 102 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

RebeccaMorolong/stockpredictionanalysis.ipynb

The project demonstrates practical applications of time series analysis, regression techniques, and visualization methods, making it a valuable resource for anyone interested in financial data analysis, machine learning, or investment strategies.

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arnauog/Ironhack_Data_Analytics

Weekly labs to practice everything taught in class during the Data Analytics bootcamp of Ironhack in Barcelona of Sept 2024 - March 2025.

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CyberTokyo112/data-analysis-using-python

Developed a comprehensive exploratory data analysis (EDA) of a vehicle repairs dataset, uncovering patterns in repair types, costs, and vehicle platforms. Includes data cleaning, insights extraction, tag generation from free-text fields, and saving of cleaned datasets for further analysis.

Language: Jupyter Notebook - Size: 272 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

ErykS1999/Titanic-Project

Language: Jupyter Notebook - Size: 4.86 MB - Last synced at: 4 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

CrhistianVE/Soil-Crop-Recommendation-Models

This repository contains pre-trained machine learning models for crop recommendation based on soil and environmental parameters. The models help predict the best crop to grow based on nitrogen, phosphorus, potassium levels, temperature, humidity, pH, and rainfall data.

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Deekshithaa-Y-M/Python-Library-Basics-Numpy-Pandas-Matplotlib-Seaborn-

Python Libraries Basic Coding

Language: Python - Size: 17.6 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

Jabulente/Styled-Buble-Chart-Using-Pythonn

This repository demonstrates how to create visually appealing and informative bubble charts using Python. It includes step-by-step scripts utilizing libraries such as matplotlib, seaborn, and plotly to represent multivariate data with custom styling, dynamic bubble sizing, color gradients, and interactive elements.

Language: Jupyter Notebook - Size: 711 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

lokeshagg13/Book-Recommender

A state-of-the-art book recommendation system using vector search on OpenAI embeddings, built with LangChain, Chroma DB, and Python. Powered by modern LLM techniques for semantic search, and ready for future text classification and sentiment analysis.

Language: Jupyter Notebook - Size: 49.2 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

sehbakhan/KD_ML_Model

This project aims to develop a machine learning model to predict the presence of kidney disease based on various clinical parameters. By leveraging data analysis and classification algorithms, the goal is to assist healthcare professionals in early diagnosis and improve patient outcomes.

Language: Jupyter Notebook - Size: 5.84 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 1 - Forks: 0

udhavvvv-dev/Olympic-Data-Analysis

Olympics Data Analysis Web Application using Streamlit. For development, I will be using Python and Pandas. For plotting, I will be using Seaborn and Plotly libraries.

Language: Jupyter Notebook - Size: 6.39 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 2 - Forks: 0

JuanLopezAranzazu/proyecto2-3-ciencia-datos

Proyecto 2-3 para ciencia datos con análisis descriptivo, limpieza y normalización de datos y modelos predictivos

Language: Jupyter Notebook - Size: 2.43 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

MrRickyPatis/CyberGuard_AI

an intelligent cybersecurity log analysis system that uses transformer-based machine learning models to detect suspicious and malicious activities in system logs

Language: Python - Size: 302 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

Kush2395/AI4kt

Bringing Python AI libraries to Kotlin.

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0290192029/apartment-price-predictor

Python-проект по прогнозированию стоимости аренды квартир с помощью линейной регрессии. Практическая работа по теме: "Основы машинного обучения" дисциплины "МДК 13.01: Основы применения методов искусственного интеллекта в программировании".

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TSHHaider/Revolutionizing-Gold-Rate-Forecasting-for-Small-Businesses-with-Machine-Learning

The "Gold Price Prediction" project focuses on predicting the prices of gold using machine learning techniques. By leveraging popular Python libraries such as NumPy, Pandas, Scikit-learn (sklearn), Matplotlib, Seaborn, Random Forest Regressor, and others, this project provides a comprehensive solution for accurate price estimation.

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RoniF-pixel/Python-Projects

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ReusJimenez/breastcancer-datawrangling-eda

Limpieza, transformación y EDA del dataset Breast Cancer Wisconsin para preparar datos médicos de tumores benignos y malignos para análisis predictivos. 🧬🩺

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Yorko/mlcourse.ai

Open Machine Learning Course

Language: Python - Size: 606 MB - Last synced at: 7 days ago - Pushed at: 4 months ago - Stars: 10,018 - Forks: 5,694

spdr-lily/Data-Science-Profile

Práticas e Projetos de Ciência de Dados

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ronaessi-28/sales-analysis

This project is focused on building a Sales Analysis & Visualization system using Python. It utilizes libraries such as Pandas for data processing, and Matplotlib, Seaborn, and Plotly for interactive visualizations.

Language: Python - Size: 34.2 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

Aastharai821/Restaurant-Insights-Dashboard

This project aims to support a restaurant consolidator in enhancing their B2C portal using intelligent automation. The objective was to identify high-performing "star" restaurants based on various business and customer metrics using Python for analysis and Tableau for interactive visualizations.

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mannekeenpis/100-days-of-python

🐍 The Complete Python Pro Bootcamp for 2021

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gitony0101/X4DS

Python & Julia port of codes in excellent R books

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phancykemunto/Automotive_sales

Sales Analysis of Automotive Manufacturing Data

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gagolews/datawranglingpy

Minimalist Data Wrangling with Python (Open-Access Textbook)

Size: 300 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 79 - Forks: 4

FabianaCampanari/Iris-DataAnalysis-Seaborn-

🌸 The provided code snippet is a Python script that uses matplotlib to plot the numerical and exact derivatives of a function f4 over a range of values. The script generates a sequence of values x from -5 to 5, calculates the derivatives using two different methods, and then plots the results for comparison.

Language: Jupyter Notebook - Size: 1.92 MB - Last synced at: 4 days ago - Pushed at: 7 days ago - Stars: 3 - Forks: 1