NumPy
NumPy is an open source library for the Python programming language, adding support for large, multidimensional arrays, and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.
- GitHub: https://github.com/topics/numpy
- Wikipedia: https://en.wikipedia.org/wiki/NumPy
- Repo: https://github.com/numpy/numpy
- Created by: Travis Oliphant
- Related Topics: python, scipy,
- Last updated: 2026-06-26 00:18:09 UTC
- JSON Representation
https://github.com/blacksujit/neural_network_using_numpy_and_math
Inspired from a repo . i have implemented an some ground level maths and logic . In this neural network no tensorflow , pytorch is used it is just prepared by using numpy and some logical math.
algorithmic-composition basics-of-python calculus criticalthinking innovation machine-learning maths neural-network neuralnetworkusingnumpy numpy purebasics
Last synced: 26 Aug 2025
https://github.com/doondigangadhar30/ghiblify-animeganv3
A creative tool that generates beautiful Ghibli-style artwork from your image input.
colab-notebook jupyter-notebook numpy onnxruntime opencv python
Last synced: 01 Jul 2025
https://github.com/yahiazakaria445/sentiment-analysis-using-lstm
A Sentiment analysis NLP project using LSTM model
matplotlib nltk numpy pandas scikit-learn seaborn tensorflow
Last synced: 11 Apr 2026
https://github.com/dmarks84/coursework_project_ml-classification
Project for IBM Data Science course on Machine Learning -- Trained ML models for classification, evaluating based on a variety of metrics
classification communication data-modeling dataframes numpy pandas python scikit-learn supervised-ml
Last synced: 11 Apr 2026
https://github.com/2100031988/programming_for_aiml_codes
All of my descriptive code are published here and is updated everyday as I learn new concepts
dataset numpy pandas pipeline python visual-studio visualization
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https://github.com/collins-kimotho/wrangle-and-analyze-project
Data Wrangling and Analysis Project: Analyzing WeRateDogs Twitter Account Data
explanatory-data-analysis exploratory-data-analysis matplotlib numpy pandas python twitter twitter-api
Last synced: 11 May 2026
https://github.com/shahzaibdev355/house-recommendation-backend
House Recommendation Backend is a Flask-based API that provides house recommendations based on user input. It includes endpoints to check the backend's functionality, fetch state data, and get personalized house recommendations based on criteria like price, property size, number of beds, number of baths, and state.
flask flask-api flask-cors numpy pandas scikit-learn tensorflow
Last synced: 05 Jan 2026
https://github.com/aleandropresta/data-science-projects
A collection of my Data Science projects
data-mining data-science data-visualization matplotlib numpy pandas python seaborn
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https://github.com/rezapace/number-generator
Proyek ini adalah sebuah program yang digunakan untuk menghasilkan deretan angka dengan langkah tertentu dan menambahkan teks setelah setiap angka. Program ini mendukung berbagai metode untuk menghasilkan angka, termasuk penggunaan CuPy untuk memanfaatkan GPU, serta penggunaan threading untuk meningkatkan kinerja.
colab cupy custom generator jupiter kumal link number numpy pyhon webkumal webkumal-projek
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https://github.com/gustavoaca1997/placa-orificio-velocidad
script en python3 para obtener la velocidad de una placa orificio mediante tanteos
chemistry numerical-calculations numerical-methods numpy python
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https://github.com/vishal-verma-96/Honey_Production_Analysis_using_Python
In this project, I analyzed U.S. honey production from 1998 to 2021 across different U.S. cities, explored yields, and examined production values using Matplotlib and Seaborn visualizations.
matplotlib numpy pandas python-3 python-visualization seaborn
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https://github.com/benjifinance/benjimlmodel
This is the ML model of the Benji Application
ai ai-prediction analyzing-data forcasting matchine-learning ml numpy pandas python3 random-forest
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https://github.com/bearddan2000/python-web-3d-matplotlib-vertical-bar-graph
A demo of creating a 3d vertical bar graph.
3d bar graph matplotlib numpy pandas python vertical web
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https://github.com/privatepeople/dataanalysis
데이터 분석 공부를 위한 저장소
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https://github.com/waynewbishop/bishop-algorithms-quiver-package
Quiver is a Swift package that provides vector operations for Swift applications.
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https://github.com/rnuv/artificial-neural-network
A Simple 2 layered Artificial Neural Network library made from scratch in Python and NumPy. Fitted with a feed forward method and backpropagation.
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https://github.com/dragonscypher/sustaining-balance
Innovative Data Approaches for Food Security and Environment
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https://github.com/lorenzorottigni/ml-titanic
Machine Learning python bootcamp: logistic regression on titanic dataset
ipynb logistic-regression machine-learning numpy pandas python scikit-learn seaborn
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https://github.com/djdhairya/car-accident-detection
csv cv2 geocoder geolocation keras math matplotlib numpy opencv pandas scikit-learn system tiwilo transformer
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https://github.com/saopicc/ddfacet-kernels
Modular implementation of the DDFacet Gridding Kernels
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https://github.com/windjammer6/7.-numpy-pandas-matplotlib-learning-and-practice-python
My learning journey of Python's Libraries NumPy, Pandas and Matplotlib
matplotlib numpy pandas python
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https://github.com/kumpatlapavankumar/medical-insurance-cost-estimation-using-machine-learning
Using python,numpy,pandas,seaborn,matplotlib and machine learning techniques
accuracy-score data-science data-visualization decision-trees exploratory-data-analysis gradient-boosting-classifier label-encoding linear-regression machine-learning matplotlib model-selection-and-evaluation numpy pandas prediction preprocessing python random-forest train-test-split xgboost-regression
Last synced: 28 Apr 2026
https://github.com/codeslash21/data_analyst_nanodegree
Notes and projects on Data Analyst Nanodegree.
data-analysis data-analyst-nanodegree data-cleaning data-visualization data-wrangling numpy pandas python3
Last synced: 06 May 2026
https://github.com/shhiivvaam/traffic_prediction
This project explores the application of advanced neural network architectures, including Multi-Layer Perceptron (MLP), Long Short-Term Memory (LSTM), and Gated Recurrent Unit (GRU), to forecast traffic volume. 👍👍✅
conv1d conv2d keras lstm matplotlib numpy pandas seaborn sklearn statsmodels tensorflow
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https://github.com/sanjanahombal/sentiment-analysis-using-neural-networks
This project explores sentiment analysis using neural networks
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Last synced: 06 Jan 2026
https://github.com/iamkushvanth/marketing-campaign-analysis
Data analysis comparing the performance of Facebook and AdWords ad campaigns in 2019, Using Statical Methods such as A/B test focusing on clicks, conversions, cost-effectiveness, and seasonal trends.
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https://github.com/lexxai/goit_python_ds_hw_05
Метод опорних векторів -Support Vector Machine, SVM. Дерева рішень - RandomForestClassifier, XGBClassifier
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https://github.com/prakshal0809/machine_learning_algorithms
This project showcases basic machine learning programs I developed during my studies, written in Python, intended for educational use or as a foundation for more advanced projects.
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https://github.com/iadtya/hate-text-classification
Training RNN(LSTM) on Hate speech with tensorflow and keras
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https://github.com/jpcadena/ventas-facturas
Ventas con facturas
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https://github.com/webintellectual/coloured-image-to-b-w-converter-web-app
A Streamlit web application to convert a coloured image to black and white image.
numpy opencv pil pillow python3 streamlit streamlit-webapp
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https://github.com/jvictor011/analise_de_dados_pokemon
Este projeto se concentra na análise dos dados da Pokedex, que incluem informações sobre vários Pokémon. O código em Python realiza várias etapas de análise exploratória de dados (AED) e gera visualizações para entender melhor as características dos Pokémon.
matplotlib numpy pandas python scipy
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https://github.com/alwaysvivek/next-word-prediction
🔮 Predicts the next word in a text sequence using either an N-gram statistical model or an LSTM-based neural network.
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https://github.com/elhanarinc/deeplearning
Ceng 783 Deep Learning Assignments
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https://github.com/dane-meister/neural-network
Creating a Neural Network from scratch.
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https://github.com/adarshpheonix2810/fake-job-post-detection
This project focuses on detecting fake job posts using machine learning. Fake job advertisements are often created to scam individuals by stealing personal information or money.
data-analysis deep-learning joblib machine-learning nlp-machine-learning numpy pandas python scikit-learn tkinter
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https://github.com/kr1shnasomani/DeepDetect
Traffic light, vehicle and human detection from aerial images using YOLOv8 model and Computer Vision
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https://github.com/tebogoyungmercykay/mathematical_modelling_in_python
Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms, and can be freely distributed.
clock counter differential-equations equations-and-plotting growth-factor is-sorted lamda-expressions linearization logistic-difference-equations mathplotlib numpy pell-recursive polyfit python recursion rieman-sums sympy
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https://github.com/winterwind/housingpricesproject
A two-part project involving making predictions using various regressors and then implementing linear regression from scratch and predicting that way
csv csv-files data-science decision-tree gradient-descent jupyter jupyter-notebook knearest-neighbors knn linear-regression linear-regression-scratch machine-learning matplotlib matplotlib-pyplot numpy pandas python random-forest regression sklearn
Last synced: 12 Apr 2026
https://github.com/f-ssemwanga/dab-dataanalysis
DAB Radio Data Analysis Application
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https://github.com/3rd-son/movie-streaming-service-analysis
Exploratory Data Analysis of the Streaming Services like Neflix, Hulu, Disney+ etc
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https://github.com/nicolas-giacomelli/modelo-polinomial-api-streamlit
Codigo focado em treinamento de modelo de previsão de salario por tempo de empresa e nivel dentro da empresa disponibilizado por api e usando front-end streamlit para calcular basta inserir tempo de empresa e nivel e calcular o resultado de salario compativel
api fastapi joblib machine-learning matplotlib numpy pandas pingouin pydantic scikit-learn seaborn streamlit uvicorn
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https://github.com/nazwright/daria
Real-time fraud detection architecture powered by AWS Kinesis, KaggleHub, and SMOTE-augmented data — the foundation of DARIA, the Detection And Risk-Intelligence Agent.
aws evm fraud fraud-detection-using-machine-learning kaggle kinesis machine-learning math numpy pandas python random web3
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https://github.com/manuelfay/numpydeeplearning
Deep Learning Framework built entirely using numpy
deep-learning deep-learning-framework minigrad numpy pytorch
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https://github.com/fimbres/emotion-recognition
This is an AI project developed in Python to recognize emotions in people.
ai kaggle-dataset keras numpy opencv python tensorflow
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https://github.com/yousefalaaali/video-game-sales
Data Analysis Project - Video Game Sales
k-means-clustering matplotlib numpy pandas principal-component-analysis python scikit-learn seaborn
Last synced: 12 Apr 2026
https://github.com/manojkp08/student-performance-analysis
The Student Performance Analyzer is your go-to solution for understanding and improving student performance. By blending the power of machine learning with interactive visualizations, this tool provides educators and learners with personalized insights into learning styles, performance gaps, and actionable improvements.
machine-learning numpy pandas python requests scikit-learn streamlit
Last synced: 12 Apr 2026
https://github.com/jvictor011/analise_de_precos_de_materias-primas_agricolas
Este projeto concentra-se na análise dos dados de preços de várias matérias-primas agrícolas ao longo do tempo. O conjunto de dados usado para esta análise é chamado de agricultural_raw_material.csv.
matplotlib numpy pandas python seaborn
Last synced: 07 May 2025
https://github.com/parkjungyoon/til-data_study
✍ 데이터분석, 데이터베이스, 클라우드 컴퓨팅 등을 공부하고 기록하는 저장소 입니다.
crawling machine-learning monodb mysql numpy pandas python
Last synced: 12 Apr 2026
https://github.com/mzayles/iris-seaborn_visualizacao-dados
💻📊✅ Curso de Programação em Python para Data Science | Gráficos utilizando a base de vendas da Seaborn e a biblioteca Matplotlib.
matplotlib numpy pandas python seaborn
Last synced: 24 Mar 2025
https://github.com/mzayles/base_vendas_dataprep
💻📊✅ Curso de Programação em Python para Data Science | Preparando e tratando dados com Pandas e NumPy.
Last synced: 24 Mar 2025
https://github.com/sultanazhari/prediction-model-of-customers-leaving
Bank Beta Company focus on retain existing customers, our task is to create a model that predicts whether or not a customer will leave the bank soon.
accuracy-score confusion-matrix logistic-regression-algorithm matplotlib-pyplot numpy pandas python3 random-forest roc-auc-score seaborn train-test-using-sklearn
Last synced: 20 Apr 2026
https://github.com/vikpires/ds_tips-dataset
Projeto individual do bootcamp de ciência de dados avanti 2024.2, com o objetivo de analisar e observar padrões no conjunto de dados "Tips".
data-analysis data-science data-visualization exploratory-data-analysis jupyter-notebook matplotlib numpy pandas python seaborn tips
Last synced: 17 Sep 2025
https://github.com/shreeparab1890/chat-analyzer
This project is a Data Analysis project to analyze the WhatsApp chats.
data-analysis numpy pandas python
Last synced: 12 Apr 2026
https://github.com/ifrazaib/pythoncodes
In this repository I have Added my handwritten python codes to master the language and includes all the basic concepts of python.
classes inheritance lists numpy pandas scipy tupels
Last synced: 06 Jan 2026
https://github.com/shandilya1998/neurorobotics
Python tools for robotics, deep reinforcement learning and neuroscience research.
computational-neuroscience mujoco mujoco-py numpy openai-gym pytorch reinforcement-learning robotics
Last synced: 12 Apr 2026
https://github.com/raduldev/ml-projects
End To End Machine Learning Project guided by Krish Naik from Ineuron.
catboost dill flask-application numpy pandas python scikit-learn xgboost
Last synced: 12 Apr 2026
https://github.com/hediyeorhan/styletransfer
artificial-intelligence deep-learning numpy python tensorflow
Last synced: 12 Apr 2026
https://github.com/criscorreas/ad-prediction-classification-models
Alzheimer's Disease (AD) prediction using the OASIS-2 dataset
alzheimers-disease keras lgbmclassifier matplotlib model-classification numpy oasis-2 pylab python pytorch scipy seaborn sklearn tensorflow
Last synced: 12 Apr 2026
https://github.com/ailsonguedes/iris-flower-ml-project
Machine learning model using logistic regression to classify the Iris-Flower of dataset.
classification data-science dataset ia iris-classification iris-dataset jupyter-notebook logistic-regression machine-learning numpy pandas python sklearn
Last synced: 12 Apr 2026
https://github.com/azaz9026/car_price_prediction_model
This repository contains a machine learning model designed to predict car prices based on various features. Using historical data on car attributes such as make, model, year, mileage, and other relevant factors, the model aims to provide accurate and reliable price estimates for used cars.
data-analysis data-engineering liner-regestion machine-learning modeling numpy pandas python3 rendering
Last synced: 09 Apr 2026
https://github.com/tugot17/linear-regression-from-scratch
Linear Regression concepts and intuitions presented using Jupyter Notebooks
from-scratch linear-regression numpy python
Last synced: 11 Jul 2025
https://github.com/khushi130404/catnet
CatNet is a simple machine learning project that classifies images as either a cat or not a cat using logistic regression. The dataset consists of labeled images of cats and non-cats, preprocessed and used to train a binary classification model.
h5py matplotlib numpy pillow scipy
Last synced: 12 Apr 2026
https://github.com/c-mohammed-zaid/python
A diverse collection of Python projects showcasing skills in game development, data manipulation, and utility tools, including classic games, encryption, and data analysis.
jupyter-notebook matplotlib numpy pandas python scipy turtle
Last synced: 06 Jan 2026
https://github.com/theoldvalyria/python_projects
Проекты, направленные на анализ данных Python и АБ-тестирование.
ab-testing matplotlib metrics numpy pandas python scipy seaborn visualisation
Last synced: 06 Jan 2026
https://github.com/kareem74x/data-mining-uni-project
A project focused on applying data mining techniques to extract insights from datasets
data-mining matplotlib numpy pandas python
Last synced: 25 Feb 2026
https://github.com/byteshiva/getmaplocation
Automate Dummy data from the open data source. Parse International Address, Geopy to automate map locations using lat and lon, Cache geopy map location calls using sqlite3, Use Pandas to parse and convert CSV to JSON
csv-parser geopy json numpy pandas pandas-dataframe parser pickle python3 sqlite3
Last synced: 18 Apr 2026
https://github.com/akashash01/navie_bayes
It's an simple probabilistic classifiers based on applying Bayes theorem with strong independence assumptions between the features. Highly effective for text sequence oriented data(independent variables).
data-science machine-learning numpy pandas python sklearn supervised-learning
Last synced: 09 Apr 2026
https://github.com/sayan520/titanic-data-insights
Conducting data analysis on Kaggle's Titanic: Machine Learning from Disaster dataset using essential data wrangling, exploratory data analysis (EDA), and visualization techniques to uncover insights, identify patterns, and explore factors influencing passenger survival.
jupyter-notebook kaggle matplotlib numpy pandas python scikit-learn seaborn
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https://github.com/asier-ortiz/ai-course-notebooks
AI course Notebooks and Exercises
keras matplotlib numpy pandas python seaborn skit-learn tensorflow
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https://github.com/rohitinu6/image_cartoonify
To Cartoonify an Image using opencv-python
image-processing matplotlib numpy opencv opencv-python python
Last synced: 12 Apr 2026
https://github.com/prashhhant213/customer-behavior-analysis-for-walmart-black-friday-sales
This project is a Walmart case study analyzing customer purchase behavior by gender and demographics to inform business decisions, especially around spending habits during events like Black Friday.
matplotlib numpy pandas python scipy seaborn
Last synced: 06 Jan 2026
https://github.com/rahulsm20/insurance-data
A data analytics project dealing with risk assessment and it's effects in health insurance.
data-analysis data-analytics machine-learning matplotlib numpy pandas python scikit-learn
Last synced: 12 Apr 2026
https://github.com/hrolive/fundamentals-of-accelerated-data-science
How to use GPU-accelerated tools to conduct data science faster, leading to more scalable, reliable, and cost-effective results.
accelerated-computing bokeh cudf cugraph cuml cupy dask data-science jupyter numpy pandas python rapids xgboost
Last synced: 12 Apr 2026
https://github.com/sumitkundu102022/ecobuddy
EcoBuddy: Personalized Carbon Footprint Tracker
bcrypt numpy pandas plotly pymongo python-dotenv requests streamlit
Last synced: 12 Apr 2026
https://github.com/naveen88112/healthcare
HealthCare Data Analysis and Forecasting This project examines healthcare data by processing missing values with KNN imputation, preprocessing features, and training classification models (Logistic Regression and Random Forest). The output includes performance metrics such as accuracy, confusion matrix, precision, recall, and ROC analysis.
data-visualization feature-engineering machine-learning model-evaluation numpy pandas python scikitlearn-machine-learning
Last synced: 12 Apr 2026
https://github.com/apal21/tensorflow-linear-regression-fit-data
Fit a line passing through data with some random noise using Tensorflow linear regression with Gradient Descent Optimizer.
gradient-descent linear-regression numpy python3 tensorflow
Last synced: 12 Apr 2026
https://github.com/mahmoudnamnam/superstore-analysis
This project explores the SuperStore dataset to uncover insights into sales, profit, and customer behavior. It identifies key trends, regional variations, and product performance, using data analysis and machine learning techniques to guide business strategy and optimize performance.
clustering data-analysis data-science data-visualization geopandas jupyter-notebook machine-learning numpy pandas plotly regression seaborn sklearn
Last synced: 12 Apr 2026
https://github.com/mostafa-ghorab/global-happiness-analysis
An analysis of global happiness rankings based on various factors like GDP, family support, health, and freedom from the World Happiness Report (2015-2017). This project provides data visualizations and statistical insights into how these factors influence happiness scores in different regions.
business-analysis data-analysis data-visualization matplotlib numpy pandas python seaborn
Last synced: 12 Apr 2026
https://github.com/amira921/eda-and-visualization-netflix-movies-and-tv-shows
EDA for Netflix Movies and TV Shows
datacleaning datamanipulation datapreprocessing datavisualization exploratory-data-analysis insights matplotlib numpy pandas python
Last synced: 12 Apr 2026
https://github.com/thariniselvakumar/kidney-disease-prediction
This project is about the kidney disease prediction using machine learning algorithms
machine-learning matplotlib numpy pandas scikit-learn seaborn
Last synced: 12 Apr 2026
https://github.com/ledsouza/python-powerbi
Desenvolver uma dashboard para análise do mercado financeiro utilizando Python e Power BI
etl matplotlib numpy pandas powerbi python seaborn
Last synced: 12 Apr 2026
https://github.com/mnitin-reddy/summer-olympics-data-analysis-web-app
An interactive web app for exploring trends in Olympic Games history, analyzing overall medal tallies, country-wise performance, and athlete demographics. Built with Python and Streamlit, this app offers insights through visualizations and data-driven statistics.
dataanalytics matplotlib numpy pandas python seaborn streamlit
Last synced: 12 Apr 2026
https://github.com/gregoritsch3/project_radioactive_decay
An analytic ( system of coupled ODEs), numeric (Runge-Kutta 4, Newton-Raphson) and stochastic (Monte Carlo) treatment of the chained radioactive decay of Bi[210, 83] into Po[210,84], as well as the emission of alpha-particles. Associated comments and paper are in Croatian.
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Last synced: 12 Apr 2026
https://github.com/themihirmathur/soiligator
Soiligator is an advanced machine learning project designed to optimize irrigation management by predicting whether irrigation is necessary based on environmental and soil-related data.
auc-score logistic-regression machine-learning matplotlib numpy pandas python random-forest-classifier roc-curve scikit-learn seaborn standardscaler support-vector-machine
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https://github.com/emhash/machine-learning-and-ai
Personal tasks or codes of Machine Learning and Artificial Intelligence. Practice codes and projects of Ml/AI will be share here.
ai datasets ipynb jupyter-notebook keras linear-regression logistic-regression machine-learning machine-learning-algorithms numpy opencv pandas python seaborn sklearn tensorflow
Last synced: 05 Jan 2026
https://github.com/nadahamdy217/movies-data-etl-using-python-gcp
Developed a comprehensive ETL pipeline for movie data using Python, Docker, and a GCP Pub/Sub emulator. Successfully processed and published the data in a local Docker environment, showcasing advanced data engineering skills.
analytics data data-engineering data-ingestion data-preparation data-preprocessing data-processing data-project docker etl etl-pipeline gcp matplotlib matplotlib-pyplot numpy pandas pubsub python scipy seaborn
Last synced: 06 Jan 2026
https://github.com/lijesh010/employeeanalysis-
This is a simple data analysis project developed as part of my Entri Elevate Data Science and Machine Learning course. It serves as a practical demonstration of my skills in data analysis.
jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 12 Apr 2026
https://github.com/lorenzorottigni/ml-universities
Machine Learning python bootcamp: K mean clustering with public/private universities dataset
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Last synced: 05 Apr 2026
https://github.com/lorenzorottigni/ml-random
Machine Learning course of Piero Savastano 7: matplotlib, accuracy_score, precision_score, recall_score, f1_score, classification_report
machine-learning matplotlib metrics numpy
Last synced: 04 May 2026
https://github.com/rizkyrajitha/ann_101
A really simple neural network for binary classification written from scratch using python
Last synced: 08 May 2026
https://github.com/bhushan148/ipl-stats-analysis
This project explores IPL data to show team and player performances. 📈 Key highlights include analyzing match results, highest scores, and performance at different venues. 🏟️ It uses charts to reveal trends like win margins and average scores by venue. 📉 Discover important insights into what affects match outcomes and team success.
jupyter-notebook markdown matplotlib-pyplot numpy pandas python seaborn
Last synced: 12 Apr 2026