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/klihe/astar-visualization
I am trying to implement *a path finding algorithm and create a visualization of it with Python and numpy library
algorithm astar-algorithm numpy pathfinding pygame python visualization
Last synced: 06 Apr 2025
https://github.com/l-gre/tradefx-ai
A Python-based project exploring algorithmic trading strategies, including backtesting, real-time data integration, and predictive modelling with TensorFlow and Keras. Key topics include technical indicators, risk management, and leveraging AWS and broker APIs for automated trading
algorithmic-trading aws backtesting broker-api keras machine-learning matplotlib numpy pandas portfolio-optimisation python real-time-data-integration risk-management technical-indicators tensorflow
Last synced: 12 Apr 2026
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
Last synced: 12 Apr 2026
https://github.com/saopicc/ddfacet-kernels
Modular implementation of the DDFacet Gridding Kernels
Last synced: 26 Jan 2026
https://github.com/amirkh777/data-science-yandex-practicum
My projects from the Yandex Practicum Data Science course.
data-science matplotlib numpy pandas python scikit-learn scipy seaborn
Last synced: 12 Apr 2026
https://github.com/newsoftwareculture/datascience
jupyter-notebook keras-tensorflow numpy object-detection opencv pandas python3 tensorflow
Last synced: 12 Apr 2026
https://github.com/maruf346/python-programs
Here some basic python programs are uploaded. Find your needed one. Happy coding!
dict-python list-in-python numpy numpy-exercises pandas-python set-in-python tuples-in-python
Last synced: 16 May 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.
ab-testing hypothesis-testing linear-regression matplotlib-pyplot numpy pandas python regression-analysis scikit-learn scipy stastistics
Last synced: 07 Apr 2026
https://github.com/mohith-2002/plotchart
PlotChart is a web application created by the Python library Streamlit.
matplotlib numpy pandas python streamlit
Last synced: 12 Apr 2026
https://github.com/lexxai/goit_python_ds_hw_05
Метод опорних векторів -Support Vector Machine, SVM. Дерева рішень - RandomForestClassifier, XGBClassifier
classification numpy pandas python random-forest-classifier reporting scikit-learn svm-classifier svm-model xgbclassifier
Last synced: 12 Apr 2026
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.
machine-learning matplotlib numpy pandas python
Last synced: 12 Apr 2026
https://github.com/iadtya/hate-text-classification
Training RNN(LSTM) on Hate speech with tensorflow and keras
fastapi keras lstm nltk numpy pandas tenserflow
Last synced: 12 Apr 2026
https://github.com/sujit1011/air-quality-index-prediction
machine-learning numpy pandas regression scikit-learn
Last synced: 12 Apr 2026
https://github.com/kellsworks/data-science-python-scripts
Data science python scripts
beautifulsoup4 numpy pandas python python-csv selenium selenium-webdriver statistics
Last synced: 12 Apr 2026
https://github.com/marvin-vw/3dengine_python
3D engine written in Python using OpenCV and NumPy
Last synced: 04 Feb 2026
https://github.com/offthetab/matcha_code_generation
Fine-tunning MatCha model for better python matplot lib code generation by given chart.
fine-tuning huggingface matcha matplotlib numpy pandas pil sklearn torch
Last synced: 20 Jan 2026
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
Last synced: 07 May 2025
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.
argparse laplace-smoothing machine-learning neural-network ngrams nlp nltk numpy python3 tensorflow
Last synced: 12 Apr 2026
https://github.com/amruta33/customer-support-on-twitter
The Customer Support on Twitter dataset is a large, modern corpus of tweets and replies to aid innovation in natural language understanding and conversational models, and for study of modern customer support practices and impact.
nlp numpy pandas python regex sklearn
Last synced: 12 Apr 2026
https://github.com/alwaysvivek/evolving-ai-biosphere
A self-evolving AI biosphere leveraging LSTM/REINFORCE for adaptation.
ai artificial-intelligence biology deep-learning devops evolutionary-algorithms machine-learning mlflow mlops numpy python3 pytorch reinforcement-learning simulation torch
Last synced: 12 Apr 2026
https://github.com/shahsuvarli/election-voters-data-analysis-pandas
Educational project analyzing Azerbaijan voter demographics with pandas, focusing on data cleaning, grouping, and visualization.
cleaning data grouping matplotlib numpy pandas python visualization
Last synced: 12 Apr 2026
https://github.com/f-ssemwanga/dab-dataanalysis
DAB Radio Data Analysis Application
matplotlib numpy oop-principles pandas-dataframe postgresql psycopg2 python-3 regex-pattern seaborn threading tkinter-gui
Last synced: 12 Apr 2026
https://github.com/3rd-son/movie-streaming-service-analysis
Exploratory Data Analysis of the Streaming Services like Neflix, Hulu, Disney+ etc
data-analysis exploratory-data-analysis jupyter-notebook matplotlib numpy pandas plotly python seaborn
Last synced: 18 Apr 2026
https://github.com/georgehanymilad/online-payments-fraud-detection
Machine Learning Project
anaconda class classification-algorithm data-science dataanalysis kaggle machine-learning machine-learning-algorithms matpolotlib numpy pandas python python3 seaborn
Last synced: 12 Apr 2026
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
Last synced: 12 Apr 2026
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
Last synced: 12 Apr 2026
https://github.com/allenvox/statistics
Workspace for applied problems of probability theory & mathematical statistics & modelling class
acf autocorrelation distribution k-means k-means-clustering maths matplotlib numpy probability-theory python sklearn statistics
Last synced: 17 Apr 2026
https://github.com/manuelfay/numpydeeplearning
Deep Learning Framework built entirely using numpy
deep-learning deep-learning-framework minigrad numpy pytorch
Last synced: 06 May 2026
https://github.com/nisch-mhrzn/book-recommender-system
A Flask-based application that suggests books tailored to user preferences, leveraging collaborative filtering and a curated dataset.
Last synced: 12 Apr 2026
https://github.com/urvee1810/eda-time-series
A comprehensive time series analysis of French retail quarterly sales data from 2012 to 2017. The project focuses on analyzing sales patterns, seasonal decomposition, and trend analysis using various statistical techniques and visualizations.
arima-modeling data-visualization exploratory-data-analysis matplotlib numpy pandas pmdarima python scikit-learn seaborn statsmodels time-series-analysis trend-analysis
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_analise-exploratoria
💻📊✅ Curso de Programação em Python para Data Science | Identificando e analisando problemas.
Last synced: 24 Mar 2025
https://github.com/jvictor011/big-five-personality-test
Usando machine learning para fazer o agrupamento de um sistema de traço de personalidade
matplotlib numpy os pandas python seaborn
Last synced: 07 May 2025
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/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/abideen-olawuwo/converted-web-app
Deploying model with Flask
flask jsonify matplotlib numpy pandas pickle python requests
Last synced: 12 Apr 2026
https://github.com/kunalshelke90/students_marks_prediction_in_exams
Students Performance Evaluation using Feature Engineering, Feature Extraction, Manipulation of Data, Data Analysis, Data Visualization .Later on deployed on AWS with help of docker
dokcerfile flask githubactions machine-learning matplotlib mlops numpy pandas python seaborn
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/varuntotakura/face-recognition
My own code for Face Recognition using Python
face-recognition numpy opencv python tensorflow
Last synced: 09 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/alphan26/humidityregressor
This project involves developing a model to predict relative humidity using PyTorch. The model was trained on a dataset containing monthly data, with the goal of forecasting the relative humidity for the subsequent month.
matplotlib numpy pandas python pytorch
Last synced: 11 Apr 2026
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/darkusphantom/newton-method
7 ejercicios practicos del método de Newton en la programación computacional
computational-maths numpy python
Last synced: 25 Mar 2025
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/chmohit91/Introduction-to-Python
A comprehensive collection of Python programming resources, from basics to advanced concepts. Built for learners, by learners
matplotlib numpy pandas plotly python python-library python3 seaborn
Last synced: 21 Jul 2025
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/tnleite/credit-card-customer-clustering
Este repositório apresenta um projeto de segmentação e predição de clientes de cartões de crédito. Utilizando EDA, clusterização (K-Means) e machine learning, o objetivo é prever o grupo de novos clientes, apoiando estratégias de marketing personalizadas.
classification-algorithm clustering-algorithm clustering-analysis data-science exploratory-data-analysis kmeans-clustering logistic-regression machine-learning-algorithms machine-learning-models matplotlib numpy scikit-learn seaborn
Last synced: 07 May 2026
https://github.com/arrmansa/leetcode-nice-solutions
Some solutions for leetcode problems that I found fun - either the algorithm or using numpy bruteforce where it shouldn't be
leetcode leetcode-python leetcode-python3 leetcode-solutions numpy python python3
Last synced: 16 Mar 2025
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/aneeshmurali-n/python-tasks
Here we are going to learn data science and python by doing tasks by task
data-science data-visualization exploratory-data-analysis filter lambda lambda-functions map-reduce matplotlib numpy oops-in-python pandas python python-fundamentals regex regular-expression
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/rishabhmathur06/data_analysis-netflix
data data-analytics data-science matplotlib-pyplot numpy pandas python seaborn
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/gyselle-marques/reconhecimentofacial-desafiodio
Machine Learning: Sistema de Reconhecimento Facial criado com OpenCV e YOLO11.
colab-notebook dataset dio-bootcamp face-detection face-recognition image-classification machine-learning numpy object-detection opencv opencv-python portuguese-brazilian python transfer-learning yolo yolov11
Last synced: 12 Apr 2026
https://github.com/lmizner/codecademy_life_expectancy_gdp
Utilize understanding of data visualization to analyze and plot data about GDP and life expectancy
barplot jupyter-notebook lineplot matplotlib-pyplot numpy pandas python scatterplot seaborn
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/afnanenayet/kaggle-titanic
The classic Kaggle Titanic data science challenge
backprop backpropagation classification classifier data forest kaggle layer learn mlp multi numpy pandas perceptron random science scikit sklearn titanic
Last synced: 12 Apr 2026
https://github.com/bearddan2000/python-web-3d-matplotlib-distribution-cumulative-graph
A demo of creating a 3d distribution cumulative graph.
3d cumulative distribution graph matplotlib numpy pandas python web
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/jpcano/boston_housing
Predicting Boston Housing Prices using supervised Machine Learning algorithms
cross-validation machine-learning numpy pandas python regression-models scikit-learn
Last synced: 12 Apr 2026
https://github.com/rajaditya01/refactored_py_ds_ml_bootcamp
Learning ML
deep-learning eda machine-learning numpy pandas python static
Last synced: 12 Apr 2026
https://github.com/filip-kustura/python-covid-19-behaviors-analysis
Using Jupyter Notebook, this university project analyzes attitudes and behaviors related to the COVID-19 pandemic using a two-year survey from Imperial College London and YouGov research company. Utilizing Pandas, NumPy and Matplotlib, the data analysis focuses on three countries, exploring trends and insights throughout the pandemic.
covid-19 data-analysis data-visualization jupyter-notebook matplotlib numpy pandas python university-project
Last synced: 12 Apr 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
k-mean-clustering machine-learning numpy pandas python scikit-learn seaborn
Last synced: 05 Apr 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/mpoojithavigneswari/bangalore-house-price-prediction
This project involves creating a website that predicts Bangalore house prices with 94.65% accuracy using a machine learning algorithm.
data-analysis data-science flask-server machine-learning matplotlib numpy pandas python scikit-learn seaborn
Last synced: 12 Apr 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
https://github.com/visu512/spotify-music-recommender
Built Spotify Music recommendation system using Machine learning
csv-files dataset jupyter-notebook kmeans-clustering machine-learning matplotlib numpy panda python scikit-learn spotify-api stream vscode
Last synced: 12 Apr 2026
https://github.com/22p31a0512/sentimental-analysis
Build a model to classify text as positive, negative, or neutral. Apply NLP techniques for preprocessing and machine learning for classification. Aim for accurate sentiment prediction on various text formats.
feature-engineering machine-learning natural-language-processing numpy pandas python supervised-learning text-classification text-processing tokenization
Last synced: 12 Apr 2026
https://github.com/ewakamoto/03.-python-projects
This is my collection of Python Projects
jupyter jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 12 Apr 2026
https://github.com/src3453/fluentscope
An oscilloscope that makes listening waveform more fun
audio-visualizer correlation mic-audio numpy oscilloscope pyaudio pygame pygame-application python python3 realtime trigger
Last synced: 30 Apr 2026
https://github.com/vasulab/knightshock
Shock tube experiment planning and data analysis package.
cantera data-analysis matplotlib numpy shock-tube
Last synced: 18 Jul 2025
https://github.com/hariprasath-v/av-job-a-thon-november-2022
Build a machine learning/deep learning approach to forecast the total energy demand on an hourly basis for the next 3 years based on past trends.
exploratory-data-analysis kaggle lightgbm-regressor matplotlib numpy pandas python rmse-score seaborn sklearn statsmodels timeseries-forecasting
Last synced: 12 Apr 2026
https://github.com/akashkg03/feynn-labs-internship
This repository contains the projects I did as a Data Science intern with Feynn Labs.
data-science machine-learning matplotlib numpy pandas python scipy seaborn
Last synced: 07 Jan 2026
https://github.com/prarthana-singh/potato-disease-classification-using-deep-learning
🌱 Potato Disease Classification using Deep Learning – A deep learning-based model to detect and classify potato plant diseases using image processing and CNNs. Built with TensorFlow/Keras & Python.
agriculture cnn deep-learning image-classification keras machine-learning neural-network numpy pandas plant-disease-detection python3 streaming tensorflow
Last synced: 12 Apr 2026
https://github.com/yahiazakaria445/image-classification-using-vgg-16
computer vision model for 10 classes classification
matplotlib numpy opencv pandas sklearn tensorflow
Last synced: 12 Apr 2026
https://github.com/alejoduarte23/bs6472
Serviceability assessment as per BS 6472 for human exposure to vibration in buildings Vibration sources other than blasting
matplotlib numpy pydantic scipy
Last synced: 07 Jan 2026
https://github.com/shivsharcode/diabetes-prediction-new
DIABETES PREDICTION MODEL
flask jupyter-notebook logistic-regression machine-learning matplotlib numpy pandas python scikit-learn
Last synced: 12 Apr 2026
https://github.com/shohail-dev/ai-medical-model
keras matplotlib numpy pandas pyplot scipy sklearn-metrics tensorflow
Last synced: 07 Jan 2026
https://github.com/manikantasanjay/data_analysis_using_python_libraries_series
This Series contains Data Analysis projects performed on different Kaggle datasets and providing valuable insights into the data by making use of Python libraries.
exploratory-data-analysis kaggle-datasets machine-learning matplotlib numpy opendatasets pandas python visualization
Last synced: 12 Apr 2026
https://github.com/the-developer-306/fake-review-detector
This project is a machine learning-based review classification system that predicts whether a product review is GENUINE or FAKE. It preprocesses review text, analyzes sentiment, and uses numerical features like ratings and helpfulness to make predictions. The model is deployed via a Flask web application for user interaction.
classification flask logistic-regression machine-learning numpy pandas python renderdeploy scikit-learn sentiment-analysis
Last synced: 12 Apr 2026
https://github.com/skywalkerSam/Python-101
Introduction to Python 3
bootcamp django flask jupyter-notebook matplotlib ml numpy pandas python-bootcamp python-development python-scripting python3 web-scraping
Last synced: 23 Apr 2025
https://github.com/chandkund/sentiment-analysis-using-nlp
This project focuses on Sentiment Analysis using the textual content from product reviews. The goal is to analyze user sentiments based on their written feedback, particularly focusing on the "reviewText" column in the dataset.
lemmatization matplotlib nlp nltk numpy pandas seaborn tokenization
Last synced: 31 Jan 2026
https://github.com/soumyapro/heart-disease-prediction
This project is aimed at predicting the likelihood of coronary heart disease (CHD) in individuals over the next ten years using Logistic Regression.
logistic-regression numpy pandas simpleimputer sklearn
Last synced: 21 Jan 2026
https://github.com/gregoritsch3/exercise_pandas_1
A Pandas exercise demonstrating the loading, cleaning and reorganization of data in .xlsx or .csv files, descriptive statistics, data visualization, statistical approximation of data with the normal distribution, etc.). Libraries include Pandas, NumPy, Scipy, SymPy, MatplotLib,
data-cleaning data-visualization descriptive-statistics matplotlib numpy pandas scipy sympy
Last synced: 12 Apr 2026
https://github.com/ieCecchetti/Python_ML_DL_examples
A variety of Machine Learning and Deep Learning scripts in Python. Included some theorical info about that in the Readme
bayes-classifier bayesian-statistics deep-learning kernel machine-learning matplotlib neural-network numpy pandas pca pca-analysis python scikitlearn-machine-learning scipy shi
Last synced: 10 Mar 2025
https://github.com/abideen-olawuwo/logistic-regression-house-prediction
Using logistic Regression Model to predict house price
logistic-regression matplotlib numpy pandas python seaborn sklearn
Last synced: 12 Apr 2026
https://github.com/raghavendra317/brain-tumor-detection
A deep learning-based project for classifying brain MRI images into Glioma, Meningioma, No Tumor, and Pituitary Tumor using Convolutional Neural Networks (CNNs). This project aims to assist in early tumor detection, improving diagnostic accuracy and healthcare outcomes.
cnn-classification keras numpy opencv scikit-learn tensorflow
Last synced: 12 Apr 2026
https://github.com/sandipkushwaha20/brain_tumour_detector
This project utilizes deep learning to detect and classify brain tumors from MRI images. The primary objective is to determine whether a tumor is present and, if so, classify its type with high accuracy.
deeplearning keras numpy pandas python tensorflow
Last synced: 12 Apr 2026
https://github.com/d1ogocs/afinador-de-instrumentos
Desenvolvimento de um afinador que se ajusta automaticamente ao instrumento musical escolhido pelo utilizador
butterworth-filter instrument-tuner matplotlib numpy pyaudio python scipy threading tkinter
Last synced: 07 Jan 2026