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: 2026-07-05 00:18:00 UTC
- JSON Representation
https://github.com/mariacarolinass/processamento-imagem
Processamento de Imagens com OpenCV
cv2 gradio gradio-interface huggingface matplotlib numpy opencv python
Last synced: 18 Apr 2026
https://github.com/prcharan592/social-media-sentiment-analysis
Social media sentiment analysis using tweets involves analyzing tweet data to determine public sentiment (positive, negative, or neutral) using natural language processing (NLP) and machine learning techniques.
data-visualization machine-learning matplotlib nlp nltk numpy pandas python3 sentiment-analysis spacy tweets
Last synced: 04 Apr 2026
https://github.com/datamallo/python101
The ressources you need to learn or get better in Python. Covering the basics of Python3, NumPy and Pandas for
Last synced: 18 Apr 2026
https://github.com/jinhx128/data_analysis
基于Matplotlib+Numpy+Pandas搭建的数据分析项目。
matpolotlib numpy pandas python
Last synced: 18 Apr 2026
https://github.com/bearddan2000/python-web-3d-matplotlib-scatter-graph
A demo of creating a 3d scatter graph.
3d graph matplotlib numpy pandas python scatter web
Last synced: 05 May 2026
https://github.com/sudarshanc00/smishing
This project aims to classify text messages to detect potential smishing (SMS phishing) attacks. Using machine learning, the project provides a classifier that can differentiate between legitimate messages and smishing attempts, helping to prevent scams.
nltk numpy pandas python scikit-learn scipy
Last synced: 14 Apr 2026
https://github.com/saifalibaig/covid-19-death-rate-analysis-using-python
Analysis of Covid-19 data along with the world happiness report to identify if there is any relationship between death rate and happiness rate of countries all over the world.
data-analysis data-visualization numpy pandas python3 sns visualization
Last synced: 03 May 2026
https://github.com/yuvrajsaraogi/sales-prediction-using-python
Sales prediction involves estimating future product sales based on factors like advertising spend, target audience, and platform. Businesses rely on data scientists to forecast sales and optimize advertising costs. Machine learning in Python can be used for this task.
data data-analysis data-science data-visualization machine-learning matplotlib natural-language-processing numpy pandas prediction python sales-prediction-using-python sql
Last synced: 19 Apr 2026
https://github.com/devllm/exemple-de-quantization
Démo de quantization de modèle
ai artificial-intelligence deep-learning ia intelligence-artificielle keras machine-learning matplotlib ml numpy python python3 quantization tensorflow tensorflow-lite
Last synced: 18 Apr 2026
https://github.com/lexxai/goit_python_ds_hw_01
GoIT, Python Data Science, Homework number 1.
data-science google-colab jupyter-nootebook numpy numpy-arrays python
Last synced: 18 Apr 2026
https://github.com/compcode1/nfl-analysis
The objective of this analysis was to explore potential correlations between player attributes (such as average age and weight across different positions) and key team performance metrics from the 2023 NFL season.
datacleaning datanormalization numpy pandas pearson-correlation-coefficient pvalues
Last synced: 18 Apr 2026
https://github.com/nicovandenhooff/kaggle-competitions
A repository that contains my Kaggle projects.
data-analysis data-visualization deep-learning exploratory-data-analysis kaggle machine-learning matplotlib modeling neural-network numpy pandas seaborn sklearn
Last synced: 04 Apr 2026
https://github.com/himanshigautam-rgb/python_libraries
This repository contains operations in Matplotlib for data visualization, NumPy for numerical computations, and Pandas for data manipulation and analysis. These libraries work together to efficiently process, analyze, and visualize data.
matplotlib numpy pandas python3
Last synced: 05 May 2026
https://github.com/27ahmad/movie-recommendation-system
Welcome to the Movie Recommendation System! This project uses Streamlit to provide personalized movie recommendations based on user preferences and similarity.
movie-recommendation numpy pandas python scikit-learn
Last synced: 04 Apr 2026
https://github.com/yassin522/music-genre-classification
This repository is dedicated to the Music Genre Classification project, an endeavor that leverages machine learning techniques to accurately classify music into various genres
catboost matplotlib numpy pandas python sklearn
Last synced: 04 Apr 2026
https://github.com/ercodex/predicting-new-medicines-with-sgd-classifier
"Shittiest Model of the Competition" award winner!
classifier-model dask kaggle-competition machine-learning numpy python scikit-learn
Last synced: 14 Apr 2026
https://github.com/chdl17/marvelvsdc
This GitHub repository contains Python and Tableau for analyzing Marvel Vs DC superheros.
excel jupyter-notebook numpy pandas python tableau-public
Last synced: 05 May 2026
https://github.com/jass024/bitcoin-historical-analysis
Performed comprehensive time-series analysis on 14+ years of Bitcoin historical data using Python (Pandas, NumPy, Plotly). Calculated key technical indicators (SMA, EMA, RSI, volatility) to identify market trends, potential anomalies, and areas of regulatory concern. Visualized results using interactive Plotly charts.
Last synced: 18 Apr 2026
https://github.com/ahmedabdalkreem/airline_passenger_satisfaction
In this project, we work in machine learning project that show the satisfacion of customer from the service that have in airline this service make it like this experience or not.
decision-trees gradient-boosting knn logistic-regression machine-learning matplotlib naive-bayes numpy pandas preprocessing python random-forest svm visualization
Last synced: 05 May 2026
https://github.com/ahsouza/timenow
API Laravel & SPA Vue.JS containerized
docker docker-compose dockerfile laravel mysql-database nginx nodejs npm numpy php7 pyaudio python3 security-tools shell-script vagrant vuejs vuesax vuex vuex-store zenity
Last synced: 04 Apr 2026
https://github.com/soumyapro/parkinson-disease-prediction
This project predicts Parkinson's disease using machine learning models.
logistic-regression numpy pandas scikit-learn svc xgboost
Last synced: 19 Jan 2026
https://github.com/andryadsm/predicting-house-prices
🏘️ Project Predicting House Prices (Python)
data-analysis data-preprocessing data-visualization feature-engineering house-prices machine-learning matplotlib numpy pandas python real-estate seaborn sklearn
Last synced: 04 Apr 2026
https://github.com/aaaastark/twitter_sentiment_analysis
Twitter Sentiment Analysis
csv database machine-learning matplotlib numpy pandas python python3 sentiment-analysis sklearn tensorflow text-classification twitter twitter-sentiment-analysis
Last synced: 04 Apr 2026
https://github.com/thoughtscript/python_api_2023
Some fun with Flask, Python, and Machine Learning
angular docker docker-compose flask machine-learning mysql numpy
Last synced: 04 Apr 2026
https://github.com/awanraskall/retail-demand-analysis
Data analysis of retail meal orders, fulfillment centers, and product demand using Python
data-analysis data-visualization jupyter-notebook numpy pandas python
Last synced: 18 Apr 2026
https://github.com/arnoldchrisoduor1/potato_disease
Trained a CNN to detect the presence and the current stage of Blight disease in potatoes, WebApp in FastAPI and React
fastapi keras numpy react serving-tensors tensorflow
Last synced: 04 Apr 2026
https://github.com/ayushpatel2026/stock_predictor
Neural Networks to Predict Stock Prices
data-science flask-api machine-learning neural-network numpy python pytorch
Last synced: 07 May 2026
https://github.com/lorenzorottigni/ml-breast-cancer
Machine Learning python bootcamp: Support Vector Machines using breast cancer dataset
ipynb machine-learning numpy pandas python scikit-learn seaborn support-vector-machines
Last synced: 14 Apr 2026
https://github.com/bvsam/nnfs
Basic neural network built using Python and Numpy. Created to better understand neural networks.
artificial-intelligence deep-learning machine-learning neural-network neural-networks numpy python3
Last synced: 18 Apr 2026
https://github.com/omcodewizard/nasa-battery-analysis
This repository contains code for analyzing battery data from NASA's battery testing dataset. The analysis involves processing battery impedance, electrolyte resistance, and charge transfer resistance across charge/discharge cycles to track the aging and performance of various batteries.
battery-impedence nasa-battery-dataset numpy pandas plotly python
Last synced: 09 May 2026
https://github.com/vansh-py04/data-analysis-questions-pandas-numpy-sql
Solution to 450+ Data Science Tech Stack questions essential for Data Analysts and Scientists!
data-analysis data-science deepnote machine-learning numpy pandas python sql
Last synced: 18 Apr 2026
https://github.com/kasraskari/python-for-data-science
Foundational concepts and libraries for data science with Python.
data-science jupyter-notebook matplotlib numpy pandas python scipy
Last synced: 04 Apr 2026
https://github.com/gregoritsch3/ml_clustering_eda_customersegmentation
An EDA and Machine Learning Clustering exercise on the Mall Customer Segmentation synthetic dataset demonstrating the use of KMeans Clustering and the Elbow Method. The clustering algorithm successfully segments the customer base into groups distinguishable by their annual income and spending score.
clustering kmeans-clustering machine-learning matplotlib numpy pandas scikit-learn scipy seaborn
Last synced: 04 Apr 2026
https://github.com/pedroteixeiraw/variational_quantum_circuit_binary_classification
This project focuses on developing a Variational Quantum Circuit capable of performing Binary Classification between two classes: red wine and white wine, based on their characteristics using machine learning.
binary-classification cost-function json machine-learning matplotlib numpy pandas qiskit qiskit-machine-learning quantum-machine-learning scikit-learn training-data variational-circuit
Last synced: 04 Apr 2026
https://github.com/abdul-rafay19/california-housing-price-prediction
This project predicts California housing prices using machine learning regression models, including Random Forests and Decision Trees. It covers data preprocessing, exploratory analysis, model training, and hyperparameter tuning to optimize performance.
decision-trees gridsearchcv linear-regression matplotlib numpy pandas python random-forest randomsearch-cv scikit-learn scipy seaborn
Last synced: 04 Apr 2026
https://github.com/alainlebret/python-et-ia-1
Ressources personnelles du cours "Python & IA" en 2e année GPSE à l'ENSICAEN
artificial-intelligence image-processing machine-learning matplotlib numpy python scikit-image scikit-learn
Last synced: 04 Apr 2026
https://github.com/mnitin-reddy/a-b-testing-and-regression-analysis-for-ad-performance-optimization
Analyzed the performance of Facebook and AdWords ads using A/B testing and regression analysis to identify trends, correlations, and cost-effectiveness. Key insights included distribution of clicks and conversions, monthly trends, and cost-per-conversion analysis to optimize ROI.
abtesting data-science hypothesis-testing machine-learning matplotlib numpy pandas scikit-learn scipy seaborn statsmodels
Last synced: 04 Apr 2026
https://github.com/jatin-mehra119/paris_housing_price-kaggle-
Paris Housing Price Kaggle Competiton
data data-visualization kaggle-competition machine-learning numpy pandas predictive-modeling scikit-learn
Last synced: 29 Apr 2026
https://github.com/anushkundu/crime-pattern-analysis
Analyzing Crime Patterns in Montgomery County, USA: An Inclusive Study Based on NIBRS Data (2016-2022)
data-analysis data-visualization descriptive-statistics matplotlib numpy pandas python seaborn
Last synced: 05 May 2026
https://github.com/yashsonaar/machine-learning-tasks
This repository has machine learning tasks which include classification, recommendation system, fraud detection system
classification jupyter-notebook machine-learning numpy pandas prediction python scikit-learn testing
Last synced: 04 Apr 2026
https://github.com/batrick-swaistan/nalaiya_thiran
Nalaiya Thiran IBM Course Training
matplotlib numpy pandas-dataframe python
Last synced: 05 May 2026
https://github.com/ola-kaznowska/image-processing-
Image processing. Artificial neural network
ai artificial-intelligence machine-learning neural-network numpy python tensorflow
Last synced: 18 Apr 2026
https://github.com/ccolpasm/pageviewanalyzer
PageViewAnalyzer analyzes and visualizes time series data of forum visits (2016-2019). It uses Pandas, Matplotlib, and Seaborn to create line plots, bar charts, and box plots, highlighting trends, monthly averages, and seasonality in page views. Perfect for data exploration with Python.
data-science matplotlib numpy pandas python
Last synced: 18 Apr 2026
https://github.com/yasinefeee/parkspotter_pretest_enviroment
The ParkSpotter project is designed to detect the occupancy status of parking spots in a simulation environment. Using a toy model, a camera system, and a machine learning model, this system identifies whether a parking space is EMPTY or NOT EMPTY in real-time.
ai-systems classifier computer-vision cv2 numpy opencv parking-spot-detection parking-spots python sckit-image sckit-learn simulation-environment svm svm-classifier
Last synced: 18 Apr 2026
https://github.com/probokrishnacahya/machine_learning
IMT01306601-A Machine Learning
ipynb machine-learning matplotlib numpy pandas python scikit-learn seaborn
Last synced: 14 Apr 2026
https://github.com/ramchaik/cinebrain
CineBrain uses ML & NLP to analyze movies and recommend similar ones based on user preferences through cosine similarity.
cosine-similarity flask htmx kaggle machine-learning movie-recomendation-system nlp nltk numpy pandas sklearn tailwind tmdb tmdb-api unsupervised-learning vectorization
Last synced: 19 Jan 2026
https://github.com/sultanazhari/decisive-model-with-high-profit-potential-and-low-risk
OilyGiant mining company finding the best place for 200 new well points, As an Data Scientist we're creating a model who can choose the best 200 point by profit and risk.
accuracy-score chi2-contingency confusion-matrix logistic-regression matplotlib-pyplot numpy pandas python3 random-forest roc-auc-score seaborn train-test-using-sklearn
Last synced: 18 Apr 2026
https://github.com/jsnevt/regressao_linear
Regressão linear simples - Qual a velocidade se levou x distância para parar ?
linear-regression matplotlib numpy pandas python
Last synced: 18 Apr 2026
https://github.com/sundanc/weatherprediction
This project implements a weather prediction system that predicts the temperature based on real-time weather data, including features like humidity, wind speed, and day-related features (day of the week, month
machine-learning machinelearning numpy pandas programming python scikit-learn scikitlearn-machine-learning weather-prediction
Last synced: 18 Apr 2026
https://github.com/hariprasath-v/machinehack-analytics-olympiad-2022
Create a machine learning model to help an insurance company understand which claims are worth rejecting and the claims which should be accepted for reimbursement.
catboost-classifier exploratory-data-analysis logloss machinehack numpy optuna pandas python scikit-learn shap
Last synced: 18 Apr 2026
https://github.com/zuhairzia/customer-segmentation
📖 About Customer Segmentation using KMeans clustering to analyze demographics, income, and spending. Helps businesses with targeted marketing and customer insights.
joblib matplotlib numpy pandas scikit-learn seaborn
Last synced: 05 May 2026
https://github.com/armanshadyan/bacteria-detection
Deep learning-powered tool for detecting and analyzing bacteria in microscope images. Designed for microbiology research, it identifies bacteria, counts them, and calculates coverage area with high precision. Supports real-time video processing, single-image analysis, batch processing, and model training.
mediapipe numpy object-detection opencv python pytorch
Last synced: 05 Apr 2026
https://github.com/ricardorobledo/spamemailclassification
Spam email classification using machine learning (Random Forest, SVC, Logistic Regression, etc.) with data balancing techniques (SMOTE, BorderlineSMOTE, ADASYN). Final calibrated Random Forest model achieves ROC-AUC 0.982 and PR-AUC 0.979 on the Spam Email Classification dataset.
imbalanced-data imbalanced-learning numpy pandas python3 sklearn
Last synced: 05 Apr 2026
https://github.com/alezoon/movie-revenue-prediction
Sk-learn practice using Linear Regression, ML workflow practice.
jupyter machine-learning matplotlib-pyplot numpy pandas python scikit-learn
Last synced: 05 Apr 2026
https://github.com/ksasi/dog-breed-classifier
Dog Breed Classifier
cnn cnn-classification computer-vision deep-learning deep-neural-networks keras keras-neural-networks machine-learning numpy pandas python scikit-learn
Last synced: 05 Apr 2026
https://github.com/sweta2501/ml
Consist of ML projects based on Python along with DataSheets
machine-learning matplotlib-pyplot numpy pandas python seaborn sklearn sklearn-model
Last synced: 14 Apr 2026
https://github.com/theadeelahmed/mall-customers-segmention
This project segments mall customers based on income, age, and shopping score. Using clustering techniques, it identifies key customer groups for targeted marketing campaigns. Tools used: Pandas, Matplotlib, Seaborn, and Scikit-learn
matplotlib-pyplot numpy pandas python3 seaborn sklearn-clustering
Last synced: 05 May 2026
https://github.com/ricardorobledo/next_level_data_science
matplotlib numpy pandas python3 scikit-learn
Last synced: 05 Apr 2026
https://github.com/annygutierrez/ann-prediction-template
keras matplotlib-pyplot numpy pandas sklearn
Last synced: 05 Apr 2026
https://github.com/abideen-olawuwo/converted-docker
Deploy converted model into docker
docker dockerfile flask matplotlib numpy pandas-library pickle pipfile requests sklearn
Last synced: 05 Apr 2026
https://github.com/murugavl/flower-prediction
Flower Prediction is a machine learning project that uses the Iris dataset to classify iris flowers into three species: Setosa, Versicolor, and Virginica. The project includes data analysis, model training with various algorithms, and deployment via a Flask web application for user-friendly predictions.
flask machine-learning matplotlib numpy pandas python scikit-learn seaborn
Last synced: 05 Apr 2026
https://github.com/dyceszn/i.duruohacos102
First-year deep dive into problem-solving with Python—featuring class practices and projects using NumPy, Pandas, Tkinter, and psycopg2.
Last synced: 18 Apr 2026
https://github.com/stffns/snapvec
Fast compressed ANN search via randomized Hadamard transform + Lloyd-Max quantization. Pure NumPy.
ann embeddings hadamard numpy quantization rag vector-search
Last synced: 07 Apr 2026
https://github.com/jeet1995/brain-corp-robot-scan-filter
argparse numpy python shell-script unittest
Last synced: 18 Apr 2026
https://github.com/abideen-olawuwo/loancredit
A loan default payment model
linear-regression numpy pandas python seaborn sklearn xbgoost
Last synced: 14 Apr 2026
https://github.com/iv4n-ga6l/titanic-survival-prediction
a predictive model in Python that answers the following question: “using data relating to passengers (name, age, gender, socio-economic class, etc.), who has the greatest chance to survive?"
matplotlib numpy pandas python seaborn sklearn
Last synced: 18 Apr 2026
https://github.com/ayushmaan-xd/exploratory-spotify-data-analysis
Exploratory Spotify Data Analysis is a project where I analyzed Spotify’s music dataset to uncover trends in audio features and song popularity. Using Python and data visualization tools
jupyter-notebook matplotlib numpy pandas python seaborn spotify-dataset
Last synced: 18 Apr 2026
https://github.com/nksmanya/virtual_canvas
A hand gesture-based drawing app that lets you create art in the air using hand movements
mediapipe numpy opencv opencv-python python
Last synced: 18 Apr 2026
https://github.com/rafagomezguillen/data-science-python
Data Science and Python notes
data-science django-rest-framework matplotlib numpy pandas python seaborn webscraping
Last synced: 18 Apr 2026
https://github.com/ashithapallath/feature-engineering
This repository contains a range of examples and techniques for feature engineering, aimed at improving dataset quality and boosting model performance. It covers essential methods such as Exploratory Data Analysis (EDA) and Interquartile Range (IQR) analysis for detecting and handling outliers.
exploratory-data-analysis feature-engineering iqr-method matplotlib numpy outlier-detection pandas python seaborn
Last synced: 18 Apr 2026
https://github.com/amrutha-vm0407/deepavali-sales-exploratory-data-analysis
Data Analysis Project for Beginners
csv-import matplotlib-pyplot numpy pandas python3 seaborn
Last synced: 18 Apr 2026
https://github.com/manalisbhavsar/mall-customers-clustering
K-Means clustering to mall customer data, segmenting customers based on their annual income and spending score. To identify patterns and group customers for targeted marketing.
data-analysis data-visualization matplotlib numpy pandas python scikit-learn
Last synced: 18 Apr 2026
https://github.com/bharath-tars/deeptumor2.0
DeepTumor2.0 is a project aimed at developing a flask webapp with robust front end and highly trained model using tensorflow in the backend with several features like with automatic html template reporting. **NOTE: DeepTumor2.0 has been moved from Azure to On-Render to save costs**
css datetime docs flask github html javascript keras numpy onrender os pandas python sheety smtp tensorflow
Last synced: 21 Jan 2026
https://github.com/massimilianovisintainer/rock-vs-mine-prediction
Rock vs. Mine classification using Logistic Regression
machine-learning model numpy pandas sklearn
Last synced: 21 Jan 2026
https://github.com/anmolbansal7/lost-and-found
Content-Based Image Retrieval
content-based-image-retrieval flask keras-tensorflow matplotlib numpy pillow similarity-measures webapp
Last synced: 05 Apr 2026
https://github.com/alexkhype/04python-carpricepredictor
Modelo de machine learning para predecir el valor de mercado de autos usados, optimizando precisión y eficiencia.
catboost data-science lightgbm machine-learning numpy pandas python sklearn statistics xgboost
Last synced: 05 Apr 2026
https://github.com/jigyasag18/iit-guhawati-final-capstone-project
Smart Dynamic Parking Price Optimization System that adjusts parking fees in real-time based on demand, traffic, and competition. It employs adaptive pricing models and rerouting logic to enhance parking utilization and reduce congestion. The system is visualized via an interactive Streamlit dashboard, enabling users to simulate dynamic pricing.
bokeh bokeh-server bokehplots capstone-project data dataset deployment machine-learning machine-learning-algorithms matplotlib matplotlib-pyplot mlproject normalisation numpy pandas pathway python streamlit
Last synced: 05 Apr 2026
https://github.com/jai0212/ai-virtual-painter
Real time finger and object painting using advanced computer vision technology with custom hand gestures and customizable colours
artificial-intelligence cmake computer-vision cpp mediapipe numpy opencv python
Last synced: 05 Apr 2026
https://github.com/fayzi-dev/salary_predict_app_by_streamlit
Salary predict App by Streamlit
numpy pandas pypickle streamlit streamlit-webapp
Last synced: 05 May 2026
https://github.com/ben854719/nvidia---gen-ai-
The goal of the project is to analyze and predict with the use of AI for the revenue of Nvidia
matplotlib numpy pandas python pytorch
Last synced: 05 Apr 2026
https://github.com/NetBr3ak/Planetary-System-Simulation
Planetary System Simulation enables users to simulate the trajectories of two planets in a gravitational system. Through a simple web interface, users can predict planetary movements using technologies such as Flask, NumPy, and SciPy.
astronomy flask gravitational-dynamics numerical-analysis numpy physics planetary-systems scipy simulation web-application
Last synced: 08 Oct 2025
https://github.com/ricardorobledo/weldingdefectdetection
Welding Defect Detection
css3 fastapi html5 javascript kaggle-dataset numpy opencv ultralytics yolov8
Last synced: 05 Apr 2026
https://github.com/shdrn2402/incomesresearch
The project aims to study the influence of various characteristics on a person’s income. In this project, I practiced data preprocessing and visualization, and also touched on the basics of machine learning.
jupyter-notebook matplotlib numpy pandas python seaborn sklearn visualization
Last synced: 05 Apr 2026
https://github.com/merekat/ml-shortcut-library
A Visual Studio Code shortcut library designed to simplify and accelerate machine learning development.
cnn coding data-science deep-learning efficiency extension extensions fnn machine-learning machinelearning nlp numpy pandas python scikit-learn shortcut shortcuts tensorflow visual-studio visual-studio-code
Last synced: 05 Apr 2026
https://github.com/grantgasser/task3
Multiclass Classification
keras multiclass-classification numpy pandas tensorflow
Last synced: 05 Apr 2026
https://github.com/pyladiesams/python-oss-sprints-mar2024
Sprints to contribute to the most popular data and AI Python OSS libraries
conda dask geopandas jupyter matplotlib numpy pandas pymc sklearn
Last synced: 05 May 2026
https://github.com/lexxai/goit_python_ds_hw_04
Модуль 4. Класифікація та оцінка роботи моделі. Лінійна регресія: перенавчання та регуляризація
lasso-regression linear-regression numpy pandas python red regression ridge-regression scikit-learn
Last synced: 05 Apr 2026
https://github.com/nowon1/insurance-claim-prediction_version
This project aims to predict the insurance claim amounts based on various customer attributes using machine learning techniques. The project involves data preprocessing, exploratory data analysis, feature engineering, and model training and evaluation.
data-preprocessing data-science data-visualization exploratory-data-analysis feature-engineering insurance jupyter-notebook machine-learning numpy pandas predictive-modeling python random-forest regression-analysis scikit-learn
Last synced: 05 Apr 2026
https://github.com/perpendicooler/elementary-research-for-steamboat-willie-s-store-in-poland
An elementary research for a company to opening store in a city using gurobi and pulp optimization.
christofides-algorithm gurobipy numpy pandas pulp python3 scikit-learn travelling-salesman-problem
Last synced: 05 Apr 2026
https://github.com/andres15alvarez/numericalcalculator
Calculator of roots of equations and system of linear algebraic equations.
numerical-methods numpy python scipy
Last synced: 05 Apr 2026
https://github.com/fairlytales/machine_learning
Workbooks for machine learning and neural network courses, textbooks, etc.
jupyter-notebook machine-learning machine-learning-algorithms matplotlib numpy opencv opencv-python pandas python pytorch scikit-learn scipy
Last synced: 14 Apr 2026
https://github.com/lorenzorottigni/ml-movies
Machine Learning python bootcamp: Recommender Systems on movies dataset
ipynb machine-learning numpy pandas python recommender-system scikit-learn seaborn
Last synced: 05 Apr 2026
https://github.com/voidwalker7/mnist
MNIST Digit Detector Model using only Numpy
from-scratch-in-python mnist numpy python
Last synced: 05 May 2026
https://github.com/kenatsf/basic_data_analysis
Basic data science project: ETL, forecast and data visualization.
analysis data data-analysis data-science logistic-regression matplotlib matplotlib-pyplot numpy pandas powerbi python scikit-learn time-series time-series-analysis time-series-forecasting
Last synced: 05 Apr 2026
https://github.com/shefreenkaur/web-scraping-and-word-frequencies
This project analyzes word frequencies in BC Legislative documents using Stanford CoreNLP and Python. The program extracts text from PDF documents, processes it using natural language processing techniques, and generates a comprehensive word frequency analysis.
analytics chromedriver easyocr nlp numpy pandas pymupdf python selenium stanfordcorenlp webscraping wordfrequency
Last synced: 07 May 2026
https://github.com/paulo-santos-ds/visao_computacional
O sistema utiliza inteligência artificial para analisar documentos e características físicas dos visitantes, garantindo que apenas maiores de 18 anos possam acessar as áreas de jogos
keras numpy pandas plotly python restnet50 sklearn tensorflow
Last synced: 05 Apr 2026