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GitHub topics: matplotlib-pyplot

ShahriarHA/Seaborn-Data-Visualization

It’s mainly used for statistical visualizations. — like showing relationships, distributions, and patterns in your data.

Language: Jupyter Notebook - Size: 1.55 MB - Last synced at: 30 minutes ago - Pushed at: about 2 hours ago - Stars: 0 - Forks: 0

MSreekari/machine-learning-algorithms

This repository contains the implementation of core Machine Learning and Data Mining algorithms from scratch using Python and NumPy. Each algorithm is presented in a clean Jupyter Notebook visualizations, and results. Included programs: Linear Regression, Logistic Regression, K-Means Clustering and other essential ML lab experiments.

Language: Jupyter Notebook - Size: 25.4 KB - Last synced at: about 13 hours ago - Pushed at: about 15 hours ago - Stars: 0 - Forks: 0

AIanumel2025/Data-Science-Analytics-and-Insights-Portfolio

Utilizing python libraries such as Pandas, NumPy, Seaborn and Matplotlib to identify key findings from the analysis of large datasets.

Language: Jupyter Notebook - Size: 241 KB - Last synced at: about 15 hours ago - Pushed at: about 16 hours ago - Stars: 0 - Forks: 0

naus911/ads-eda-predictor

🤖 Analyze and predict marketing campaign performance with an interactive dashboard for Facebook Ads and AdWords using data exploration and machine learning techniques.

Language: HTML - Size: 18.2 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

KILLADI-ui/Credit-Data-Analytics

📊 Analyze credit data to uncover insights that boost customer retention, revenue growth, and effective risk management for financial institutions.

Size: 2.66 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

YASOLG/ml-bootcamp

⚡ Master machine learning in 10 days with this interactive, open-source bootcamp. Learn Python basics to production ML at no cost.

Language: HTML - Size: 1.36 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

loagraphic/Sales-Analysis

📊 Analyze sales data using Python and Pandas to uncover trends, identify top products, and optimize business strategies for enhanced profitability.

Language: Jupyter Notebook - Size: 7.95 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

s0nya23/Loan-Approval-Prediction

When it comes to deciding whether the applicant’s profile is relevant to be granted with loan or not,banks have to look after many aspects. Predicting loan approval is a common application of machine learning in the financial industry.

Language: Jupyter Notebook - Size: 418 KB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 2 - Forks: 1

MechBot-2x/Sistema-de-alertas-tempranas-para-el-Golfo-de-Cadiz

🌊🚨 Sistema de Alertas Tempranas - Golfo de Cádiz Sistema profesional de monitorización y alertas para el Golfo de Cádiz.

Language: Python - Size: 65.9 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 1 - Forks: 0

charlesakinnurun/berkshire-hathaway-stock

Close price prediction using regression analysis

Language: Jupyter Notebook - Size: 1.97 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

Alexis001-sketch/Diwali-Sales-Analysis-Python

🪔 Analyze Diwali sales data to uncover trends and insights that drive effective marketing decisions for businesses during festive seasons.

Language: Jupyter Notebook - Size: 2.04 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

molowo147/Diwali-Sales-Analysis-Python

🪔 Analyze Diwali sales data to uncover trends and insights on customer behavior for better marketing decisions during the festive season.

Language: Jupyter Notebook - Size: 2.03 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

InfinityxR9/Python

Python, Tkinter and miscellaneous projects made by Aryan Sisodiya

Language: Jupyter Notebook - Size: 42.7 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 1 - Forks: 0

Yaqoob-hassan/Nexus_AI

A collection of AI and Machine Learning projects — from data analysis to intelligent automation. Exploring real-world datasets, visualizations, and predictive modeling with Python.

Language: Jupyter Notebook - Size: 664 KB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

kashifkhan7/Cleaning-Analysis_CLI

Analyze sales data easily with our CLI app. Gain insights on revenue trends and visualize results using Python, Pandas, and Matplotlib. 🚀📊

Language: Python - Size: 7.81 KB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

sushantdhruv2003/Weather-forecasting-with-machine-learning

A dataset of meteorological sensors with data cleaning and finding the best learning model for forecasting

Language: Jupyter Notebook - Size: 3.21 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 1 - Forks: 0

oonap0oo/small-Python-projects

small pieces of Python code

Language: Python - Size: 40.4 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 1 - Forks: 0

Fauzan3416/text-balls

use balls to render parametric equations or strings

Language: Python - Size: 3.45 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

OG-Caleb/2025_f1_predictions

🏎️ Predict race outcomes for the 2025 Formula 1 season using a machine learning model fueled by historical data and real-time insights.

Language: Python - Size: 1.3 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

Yahya222F/MuseumLangID---Model-for-Identifying-the-Language-of-Texts-for-a-Museum

🌍 Identify museum text languages automatically using TF-IDF and Multinomial Naive Bayes for accurate classification in Italian, English, and German.

Language: Jupyter Notebook - Size: 1.41 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 1020 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

deathlessjr/ecommerce-churn-analysis

📊 Discover customer churn patterns in e-commerce with 91% predictive accuracy, optimizing retention strategies and revealing $17M at-risk value.

Size: 1.3 MB - Last synced at: 3 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

om-kanabar/ScienceFair2025

This is my project for Chicago Public School's student science fair 2025.

Language: Python - Size: 1.4 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 1 - Forks: 0

Abdulbaqi78692/house-price-prediction

🏠 Predict house prices accurately using machine learning with Python and Flask in this complete end-to-end project.

Language: Python - Size: 1.31 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 1 - Forks: 0

Hunter90Z/Titanic-Survival-Predictor

🚢 Predict Titanic passenger survival using a deep learning model based on key features from the historical dataset. Explore data science with history.

Language: Jupyter Notebook - Size: 169 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

ankithanatgit/weather_data_analysis-1

Weather data analysis

Language: Jupyter Notebook - Size: 891 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 1 - Forks: 0

mehtabPB/SIR-MODEL

The SIR (Susceptible–Infected–Recovered) model is a mathematical framework used to study how infectious diseases spread within a population over time by dividing the population into three compartments.

Size: 3.91 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

ozcankyo28/ds-ml-bootcamp

📊 Master data science and machine learning in one month with hands-on projects, covering the complete ML workflow from data collection to deployment.

Size: 13.5 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

exist52/ML-BOOTCAMP-25

learning how to code.

Language: Jupyter Notebook - Size: 14.4 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

slxppin/Sketchify-A-Quick-Draw-drawing-classifier

Sketchify-A-Quick-Draw is a drawing classifier that uses machine learning to recognize hand-drawn sketches. It helps users identify and categorize their artwork quickly, making it a useful tool for artists and hobbyists alike.

Size: 290 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

adisuyash/breast-cancer-detection

Our project aims to predict breast cancer using machine learning techniques.

Language: Jupyter Notebook - Size: 83 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

zahrawou/ultrasonic-radar

🔍 Build an ultrasonic radar using an embedded Linux SoC, enabling remote viewing and real-time measurements through a simple Python script.

Language: Python - Size: 2.88 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

MazenSoft/matplotlib-for-beginners

📊 Master Matplotlib to create stunning visualizations in Python, from line plots to pie charts, and enhance your data presentation skills.

Language: Python - Size: 1.35 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

Abrar2652/oist-comparative-genomics

Language: Python - Size: 2.36 GB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

Anushka-Gupte/ExoInsights

Exploring Exoplanets through data science: analyzing planetary properties, discovery methods, and trends to gain meaningful insights about planets beyond our Solar System

Language: Jupyter Notebook - Size: 374 KB - Last synced at: 5 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

sushant1827/Trading_Strategies

A collection of Python-based trading strategies designed for backtesting and market insights.

Language: Python - Size: 11.7 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 2 - Forks: 1

akshdeepsingh7/football-stats

Automatically scrapes football league data and generates Winning Chance (%) graphs.

Language: Python - Size: 68.4 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

janjoch/interplot

Create matplotlib and plotly charts with the same few lines of code.

Language: Python - Size: 164 MB - Last synced at: about 9 hours ago - Pushed at: about 11 hours ago - Stars: 6 - Forks: 0

mr-pylin/data-visualization-workshop

A comprehensive guide to visualizing data with Matplotlib, from basic plotting techniques to advanced customization, for effective data storytelling in data science and analysis.

Language: Jupyter Notebook - Size: 2.1 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 1 - Forks: 1

saraa-sunny/data-science-handbook

A handbook of Jupyter notebooks and reusable code for learning and applying data science workflows.

Language: Jupyter Notebook - Size: 3.99 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

MatthewLawrencel/covid_data_pipeline

A data engineering pipeline built with Python, Pandas, SQLAlchemy, PostgreSQL, and Matplotlib to process, store, and visualize COVID-19 case data.

Size: 10.7 KB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 0 - Forks: 0

IsratAfrin826/Wine_Quality_Classification-using-Machine-Learning

Language: Jupyter Notebook - Size: 321 KB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 1 - Forks: 0

zainab-abdulahi/Customer-churn-prediction

Machine learning project for predicting customer churn using RFM features and classification algorithms (Logistic Regression, Random Forest, XGoost)

Language: Jupyter Notebook - Size: 77.1 KB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 0 - Forks: 0

Pushkin-Kumar/Predicting-earthquake-damage-in-nepal

Predicts severe earthquake damage to buildings using machine learning, with data cleaning, feature engineering, and Logistic Regression and Decision Tree models for risk assessment.

Language: Jupyter Notebook - Size: 8.04 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 0 - Forks: 0

Yashu-teach/HR-Analytics-Employee-Attrition-Prediction-Project

The project “HR Analytics – Employee Attrition Prediction” aims to predict employee attrition based on various work-related factors using the IBM HR Analytics Dataset.

Language: Python - Size: 1.08 MB - Last synced at: 10 days ago - Pushed at: 13 days ago - Stars: 0 - Forks: 0

sm-sharif/salary_survey_analysis

End to End Salary Survey Analysis

Language: Jupyter Notebook - Size: 10.4 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 0 - Forks: 0

SaharAlshaibani/Sleep-Efficiency-Exploratory-Data-Analysis-EDA-

EDA and data cleaning on Sleep Efficiency dataset, handling missing values, outliers, and uncovering key insights about sleep quality using Python.

Size: 1.36 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 0 - Forks: 0

u112000/Cipher_Note

A terminal-based notebook with encryption and mood logger built-in python features. It blends simplicity with security — Uses by `AES-GCM` encryption, `SQLite3` persistence, and colorful terminal feedback using `Rich`.

Language: Python - Size: 868 KB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 1 - Forks: 0

Yashu-teach/COVID-19-Data-Analysis

This analysis aims to explore COVID-19 data in depth, examining infection rates, recovery rates, mortality trends, and the effects of various measures such as lockdowns, testing, and vaccinations.

Language: Python - Size: 8.09 MB - Last synced at: 10 days ago - Pushed at: 14 days ago - Stars: 0 - Forks: 0

Yashu-teach/Churn-Analysis-Project

The Telco Customer Churn dataset, the project involves collecting, cleaning, and analyzing customer data to uncover key factors influencing churn.

Language: Python - Size: 3.5 MB - Last synced at: 10 days ago - Pushed at: 14 days ago - Stars: 0 - Forks: 0

Yashu-teach/New-Year-Sales-Analysis-Project

The project aims to provide actionable insights, such as which demographic groups purchase the most, which states and occupations contribute the highest revenue, and which product categories are most popular.

Language: Python - Size: 2.85 MB - Last synced at: 10 days ago - Pushed at: 18 days ago - Stars: 0 - Forks: 0

Yashu-teach/Zomato-Data-Analysis-Project

The Zomato Data Analysis Project aims to explore and visualize restaurant data from the Zomato platform using Python. The project involves setting up the environment, importing essential libraries like Pandas, NumPy, Matplotlib, and Seaborn, and performing data cleaning, preparation, and analysis.

Language: Python - Size: 1.95 MB - Last synced at: 10 days ago - Pushed at: 14 days ago - Stars: 0 - Forks: 0

Yashu-teach/Airbnb-Price-Prediction-Project

The Airbnb Price Prediction project focuses on analyzing and predicting Airbnb listing prices based on various factors such as location, amenities, room type, customer reviews, and host reputation.

Language: Python - Size: 3.14 MB - Last synced at: 10 days ago - Pushed at: 14 days ago - Stars: 0 - Forks: 0

Anonymous6598/My_Calculus

This is casual calculator. It can change base of the number, draw plots and calculate. But you can customize it by changing colors of almost everything. And now with Open AI GPT-4o (Llama3.2) model assistant, which can help you with complex mathematical tasks. Embrace the future.

Language: Python - Size: 356 KB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 16 - Forks: 4

Imtiazsalaf-01/PREDICT-HOUSE-PRICES-USING-MACHINE-LEARNING

As part of Week 1 of the WeIntern program, the "House Price Prediction" project applies machine learning to forecast housing prices. Using Python libraries like NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn, and XGBoost, it delivers an end-to-end, data-driven solution for accurate price estimation.

Language: Jupyter Notebook - Size: 122 KB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 0 - Forks: 0

adarshrao1/Water-Detection

FastAI model for detecting water bodies in an image

Language: Jupyter Notebook - Size: 10.5 MB - Last synced at: 14 days ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 1

IsratAfrin826/NLP_multi-class_text_classification-using-ANN_Model

Language: Jupyter Notebook - Size: 97.7 KB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 0 - Forks: 0

mohd-faizy/ML-DS-OneNote

Machine-Learning/Data-Science in one Notebook

Language: Jupyter Notebook - Size: 1.12 MB - Last synced at: 10 days ago - Pushed at: about 3 years ago - Stars: 4 - Forks: 1

hrosicka/CzechPopulationEstimation

This GitHub repository contains Python code for data analysis and population prediction in the Czech Republic up to the year 2050. The code is written in Python and utilizes the Pandas and Matplotlib libraries.

Language: Python - Size: 469 KB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 0 - Forks: 0

SahilMaurya28/Youtube-Data-Analysis

YouTube Data Analysis using Python — uncovering trends, engagement patterns, and correlations between likes, comments, views, and categories to understand what drives content success.

Language: Jupyter Notebook - Size: 21.2 MB - Last synced at: 13 days ago - Pushed at: 21 days ago - Stars: 0 - Forks: 0

shalinikumari37090-source/ml-models

this repository contains some finely curated machine learning models which very well performs on a given dataset. The dataset used here is again cleaned and preprocessed by me and have good space for data visualization if needed.

Language: Jupyter Notebook - Size: 4.69 MB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 0 - Forks: 0

insidelearningmachines/Blog

This repository is meant to store the code examples used in articles posted on www.insidelearningmachines.com. Each article on the website will have an associated jupyter notebook here with the same name.

Language: Jupyter Notebook - Size: 6.67 MB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 22 - Forks: 4

dubeypt/supply-chain-eda

Exploratory Data Analysis (EDA) on Supply Chain Data using Python and Pandas.

Language: Jupyter Notebook - Size: 399 KB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 0 - Forks: 0

tanishq2501/Credit-EDA-Assignment-Upgrad

Identifying target customer audience for providing loan

Language: Jupyter Notebook - Size: 2.96 MB - Last synced at: 23 days ago - Pushed at: 24 days ago - Stars: 0 - Forks: 0

IsratAfrin826/Neural-Networks-ANN_using_mnist-dataset

Language: Jupyter Notebook - Size: 83 KB - Last synced at: 13 days ago - Pushed at: 25 days ago - Stars: 0 - Forks: 0

juwonmercy65/MOVIE-LENS

This project utilizes a multi-source movie dataset to perform Exploratory Data Analysis (EDA) and feature engineering for potential movie recommendation or rating prediction models.

Language: Jupyter Notebook - Size: 1.29 MB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 0 - Forks: 0

Thiyagesh25/Python-Mini-Project-Healthcare

Mini project analyzing patient data to categorize BMI, diabetes risk and visualize insights using Python, Pandas, NumPy, Matplotlib & Seaborn.

Language: Jupyter Notebook - Size: 1.12 MB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 0 - Forks: 0

reflex-dev/reflex-graphing

A collection of graphing libs in Reflex: Matplotlib

Language: Python - Size: 448 KB - Last synced at: 18 days ago - Pushed at: 4 months ago - Stars: 9 - Forks: 2

Gireeshs02/sales-data-analysis

Sales Data Analysis for a Retail Store using Python

Language: Jupyter Notebook - Size: 888 KB - Last synced at: 29 days ago - Pushed at: 30 days ago - Stars: 1 - Forks: 0

sorna-fast/fraud-detection

Predicting transaction fraud using classification problems such as Guardian Boosting as well as user interfaces using Streamlite, Accuracy: 98% AUC-ROC

Language: Jupyter Notebook - Size: 5.02 MB - Last synced at: 29 days ago - Pushed at: about 1 month ago - Stars: 3 - Forks: 0

c0rychu/physics-plot

A lightweight Matplotlib add-on that ships a publication-friendly plotting style and a few helper utilities.

Language: Python - Size: 2.46 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

marissawyl/Python_Project_Exercises

A collection of data analysis exercises from various tutorials and resources. This repository showcases hands-on projects and practice notebooks to strengthen Python skills in data analysis, visualization, and problem-solving.

Language: Jupyter Notebook - Size: 3.04 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

shivharebhupendra/Exploratory-Data-Analysis-Practice-Sets

This repository showcases my daily hands-on practice in data analysis, visualization, and statistics using Python. Each day focuses on mastering libraries like Pandas, NumPy, Seaborn, Matplotlib, Plotly, and SciPy through real-world problems.

Language: Jupyter Notebook - Size: 94.7 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

sorna-fast/laptop-price-prediction-ml

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

Language: Jupyter Notebook - Size: 1.59 MB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 2 - Forks: 0

gkannan-codes/HabitableExos

With Earth’s habitability under strain, we ask: which known exoplanets could humans live on? Using NASA’s Exoplanet Archive, we score planets 0–1 (1 ≈ Earth) from five Earth-normalized features to rank top candidates.

Language: Jupyter Notebook - Size: 7.35 MB - Last synced at: 15 days ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

PointerRain/gwaff

Discord bot to collect and plot discord user xp and activity

Language: Python - Size: 33.3 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

Rachakondaganesh/Using-NLP-Online-and-Retail-Order-Review-Project

analyzed customer reviews from online and retail orders. Performed sentiment analysis, keyword extraction, and topic modeling to identify trends, satisfaction drivers, and pain points. Used Python (NLTK, spaCy) and visualization tools to present actionable insights for improving customer experience and product strategy.

Language: Python - Size: 6.4 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Rachakondaganesh/Superstore-Sales-Data-Analysis-Project

Analyzed retail sales data to uncover key business insights using Python and Power BI. Explored patterns in profit, sales, and customer segments across regions. Built interactive dashboards to visualize trends, identify top-performing categories, and highlight areas for improvement in shipping and discount strategies.

Language: Python - Size: 1.68 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

amish5ingh/Cricket-Data-Analytics-IPL

Data analysis and visualization of IPL 2022 matches using Python, Pandas, Matplotlib, and Seaborn. Includes insights on match outcomes, player performances, toss trends, and venue stats with 12+ charts.

Size: 7.81 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

IsratAfrin826/KNN-Classifier_mnist-dataset

The k-nearest neighbors (KNN) algorithm is a simple, supervised machine learning algorithm that can be used to solve both classification and regression problems.

Language: Jupyter Notebook - Size: 40 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

AvazAsgarov/soccer-hypothesis-testing

Statistical analysis comparing goal-scoring patterns in Men’s vs. Women’s FIFA World Cups using hypothesis testing.

Language: Jupyter Notebook - Size: 1.98 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

christabelsakyi/Product_Purchase_Prediction

As a newly hired AI Engineer, your task is to predict customer behavior based on various features such as age, income, and gender. This exercise involves cleaning the data, training a decision tree model, and evaluating the model's performance to understand the key factors influencing customer purchasing decisions.

Language: Python - Size: 5.86 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

suraiyajabin/DataScience_with_Python-

I created this repository for sharing my lab demos of CA 29 and CA 38 lab courses at Department of Computer Science, Jamia Millia Islamia, New Delhi, India

Language: Jupyter Notebook - Size: 3.86 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

IsratAfrin826/Logistic_Regression_Model

🧠 Binary Logistic Regression model built on the Titanic dataset to predict passenger survival using Python, pandas, and scikit-learn.

Language: Jupyter Notebook - Size: 29.3 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

sanjaiveeran44/shopping-intent-analasys

This project predicts whether a visitor to an e-commerce website will make a purchase based on their browsing behavior. It includes data analysis, preprocessing, and machine learning modeling to understand online shopping patterns.

Language: Jupyter Notebook - Size: 647 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Venu5198/Proactive-fraud-detection-using-machine-learning

Proactive fraud detection with machine learning on synthetic PaySim data to predict fraudulent transactions using an end-to-end Python pipeline. 🐙

Language: Jupyter Notebook - Size: 752 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

ntrllog/Music-Genre-Visualization

Music classified by genre

Language: Jupyter Notebook - Size: 10.6 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

ODUNAYOMIDE-YAKUBU/Student-Performance-Analysis-and-Predictive-Modeling

The Student Performance Dataset provides insights into academic achievements and extracurricular activities of students. This dataset is valuable for analyzing factors that impact student success, study habits, and parental influence.

Language: Jupyter Notebook - Size: 3.28 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

lukkyzdev/Analise-de-Vendas-e-Insights

Atividade Prática da Faculdade - Analisar Dados de Vendas Utilizando PYTHON, Biblioteca PANDAS e Gerar Visualizações (DASHBOARD) com MATPLOTLIB e SEABORN Para Identificar Padrões e Insights. (Armazenar Todos Os Dados Em Um Banco de Dados SQLite)

Language: Python - Size: 296 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

akosh25/stock-price-analysis

Python project to download, analyze, and visualize stock prices

Language: Python - Size: 790 KB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

esvs2202/Concrete-Compressive-Strength-Prediction

The aim of this project is to develop a solution using Data science and machine learning to predict the compressive strength of a concrete with respect to the its age and the quantity of ingredients used.

Language: Jupyter Notebook - Size: 4.54 MB - Last synced at: 28 days ago - Pushed at: over 2 years ago - Stars: 20 - Forks: 10

mohamed-geweida/customer-behavior-ml

End-to-end demo predicting customer spending with linear regression, feature scaling, and an interactive Streamlit app.

Language: Jupyter Notebook - Size: 265 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

rudra00434/CodeNova.Devs

CodeNova an Ultimate Gen AI project with multiple features that helps developers to get their job ready and also ensure their to help in production level

Language: Python - Size: 172 KB - Last synced at: 23 days ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

Jabulente/K-Means-Clustering-Implimentations

This repository provides a professional exploration of the Standard Error of the Mean (SEM), a key statistical measure used to quantify the precision of sample means in relation to the population mean.

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pageauc/speed-camera

A Unix, Windows, Raspberry Pi Object Speed Camera using python3, opencv, video streaming, motion tracking. Includes a Standalone Web Server , Image Search using opencv template match and a whiptail Admin Menu Interface Includes picam and webcam Plugins for motion track security camera configuration including rclone sync scripts.

Language: Python - Size: 4.71 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1,056 - Forks: 178

Imswappy/ads-eda-predictor

Interactive Streamlit app for marketing campaign analytics and prediction. Includes dashboards, EDA, econometrics tests (ADF, cointegration, OLS diagnostics), ML pipelines with preprocessing, CV, and persistence. Predict outcomes with Linear/Ridge/Lasso/Random Forest regressors.

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gabrielsimas/biblia-cifra-cesar-vigenere

Um projeto de aprendizado multitarefa que utiliza redes neurais profundas para classificar, decifrar e analisar o sentimento de textos criptografados com as cifras de César e Vigenère.

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rubada/Machine-Learning-with-Ruba-Dabbas

Advance your skills and start your career here, by taking the online courses on Intuidemy.

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Thyoldwizard/ML

This repository hosts my practice projects for machine learning, documenting my learning journey toward becoming an AI Engineer.

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sorna-fast/real-estate-price-prediction-ann

🏠 Real Estate Price Prediction using Artificial Neural Networks (ANN) with TensorFlow/Keras. Analyzes 47+ property features to predict housing prices with 98% accuracy (R² Score). Includes data preprocessing, EDA, model training, and evaluation. 📊🤖

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Related Keywords
matplotlib-pyplot 3,135 python 1,602 pandas 1,586 numpy 1,352 seaborn 1,045 python3 622 matplotlib 523 machine-learning 489 jupyter-notebook 473 data-visualization 412 data-science 369 data-analysis 329 sklearn 277 scikit-learn 275 pandas-dataframe 267 seaborn-plots 194 exploratory-data-analysis 168 linear-regression 160 pandas-python 158 scipy 128 visualization 123 tensorflow 123 plotly 121 machine-learning-algorithms 118 eda 109 logistic-regression 100 numpy-library 98 data 97 pandas-library 97 streamlit 91 deep-learning 80 keras 80 opencv 73 random-forest 72 scipy-stats 71 statistics 70 sklearn-library 70 sql 60 data-cleaning 57 statsmodels 55 classification 55 analysis 53 data-analysis-python 52 python-3 52 matplotlib-python 51 numpy-arrays 50 regression 49 confusion-matrix 47 matplotlib-figures 46 scikitlearn-machine-learning 46 keras-tensorflow 46 feature-engineering 44 dataanalysis 44 jupyter 40 seaborn-python 40 decision-tree-classifier 40 artificial-intelligence 40 csv 39 neural-network 38 kmeans-clustering 38 random-forest-classifier 38 computer-vision 36 datascience 36 dataset 35 plotly-express 35 pytorch 34 regression-models 34 api 34 kaggle 34 scatter-plot 33 histogram 32 ai 32 data-analytics 32 datavisualization 30 requests 30 pyplot 30 image-processing 30 powerbi 29 nlp 29 kaggle-dataset 29 flask 28 jupyterlab 28 excel 28 xgboost 28 knn-classification 27 wordcloud 27 hypothesis-testing 26 json 26 csv-files 26 neural-networks 26 graph 26 statistical-analysis 26 ml 25 covid-19 25 cv2 25 datacleaning 25 math 25 tkinter 24 sklearn-metrics 24 joblib 23