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/gusenov/max-empty-rect-py
:black_square_button: Реализация на Питоне алгоритма поиска на изображении пустого прямоугольника максимальной площади.
algorithm empty-spot graphics numpy python python-image-library python-library rectangle-detection
Last synced: 06 Feb 2026
https://github.com/sonaligill/olympics-analysis
The outcome of this project is an interactive streamlit web application that visualizes the analysis of Olympic data while rendering different aspects of Olympic history, compare country performances, and gain insights into athlete demographics.
numpy plotly python scikit-learn scipy streamlit
Last synced: 28 Jan 2026
https://github.com/bedirk/portfolio-projects
Data Analytics Portfolio Projects
dataanalysis excel mssqlserver numpy pandas powerbi python sql tableau
Last synced: 16 Mar 2026
https://github.com/sahraiidle/email-spam-detector
Email/SMS spam detector with a Flask UI/API, tuned ML models (TF‑IDF + SVM/LogReg/NB), and a ready-to-run web form plus JSON endpoint for predictions.
data machine-learning numpy pandas python randomforest scikit-learn spam-classifier spam-detection svm
Last synced: 24 Jan 2026
https://github.com/alejandro945/insurance-risk
This project aims to predict the risk of insurance claims using a dataset from Kaggle. The dataset consists of 26 columns and 205 rows, providing various features related to insurance risk. By analyzing this data, we seek to build predictive models that can help insurers assess the risk of claims.
data-analytics ipython-notebook numpy pandas python
Last synced: 06 Feb 2026
https://github.com/dilkushsingh/iris-species-classifier
Used Random Forest Classifier Algorithm
huggingface-spaces numpy pandas python random-forest-classifier scikit-learn streamlit
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https://github.com/ambrish8/bell-s-palsy
BELL’S PALSY SEVERITY DETECTION USING DEEP LEARNING
cnn-architecture imagedatagenerator keras numpy opencv python pytorch resnet-50
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https://github.com/djdhairya/parkinson-s-disease-detection
datapreprocessing machine-learning modeling numpy pandas scikit-learn svm
Last synced: 15 Apr 2026
https://github.com/guy1998/synthetic-data-generator-for-event-cameras
Automated workflow for the generation of synthetic data that can be used as an input for event cameras based on previously taken videos
computer-vision event-cameras numpy opencv synthetic-data
Last synced: 15 Apr 2026
https://github.com/drsartoriuss/portfolio
Учебные проекты из Яндекс Практикума "Специалист по Data Science+"
catboost computer-vision data-science deeplearning mashinelearning matplotlib nlp-machine-learning numpy pandas scipy seaborn sklearn sql torch tsf
Last synced: 28 Jan 2026
https://github.com/shahaba83/airplane-ticket-cancellation
In this project, we try to predict the possibility of canceling the plane ticket by the buyer
datatime numpy pandas python scikit-learn seaborn
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https://github.com/deepankkartikey/ml-projects
A repository of projects done while learning and exploring ML
classification csv machine-learning numpy pandas regression sklearn
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https://github.com/ramy-badr-ahmed/higgs-dataset-training
Training Higgs Dataset with Keras - https://doi.org/10.5281/zenodo.13133945
binary-classification cuda-toolkit cupy dask dask-dataframes higgs-boson keras keras-tensorflow matplotlib matplotlib-python numpy pandas pandas-dataframe scikit-learn uci-dataset uci-machine-learning
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https://github.com/hercules-peters/learn-ml-with-me
Welcome to **ML-Journey**, my personal progress tracker for mastering machine learning! This repository showcases my projects, notebooks, and explorations as I advance my skills, starting with hands-on projects.
machine-learning numpy pandas python sklearn
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https://github.com/muhkartal/fr-photo
face-recognition system works on images first of all you need to register valid image as recognition
face-recognition numpy opencv pillow python streamlit
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https://github.com/tamk-kol/project_orbital_data_analysis
The goal of this project is to develop an automatic method to detect orbital maneuvers using machine learning.
matplotlib numpy pandas scikit-learn
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https://github.com/stavrosarm/mathematics_algorithms
Fundamental algorithms of Linear Algebra , Numerical Analysis and Calculus in Python and Julia.
calculus julia-language linear-algebra numerical-analysis numpy python
Last synced: 30 Jan 2026
https://github.com/ayuub34/siesta-smart
This project is designed to be a AIaaS 2-Way-PMS optimized with AI and ML models. The goal is to enhance the efficiency of the system through advanced technology solutions.
ai data-analysis-python data-processing data-science jupyter-python machine-learning matplotlib numpy pandas powerbi-report pyqt5 scipy seaborn sklearn
Last synced: 25 Feb 2026
https://github.com/shwetapardhi/assignment-03-q4-hypothesis-testing
Chi2 contengency independence test Q4. TeleCall uses 4 centers around the globe to process customer order forms. They audit a certain % of the customer order forms. Any error in order form renders it defective and has to be reworked before processing. The manager wants to check whether the defective % varies by centre. Please analyze the data at 5
alternate-hypothesis chi2-contingency contingency-analysis hypothesis-testing norm null-hypothesis numpy numpy-arrays pandas python scipy significance-testing stats
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https://github.com/keyurparalkar/breast-cancer-detection
Predict whether the cancer is benign or malignant
gradient-descent logistic-regression machine-learning numpy
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https://github.com/shishirshekhar/penguin_app
This is a penguin species prediction web app
data-science logistic-regression ml numpy pandas python python3 random-forest-classifier streamlit streamlit-application streamlit-webapp support-vector-machine
Last synced: 09 Apr 2026
https://github.com/breadrock1/ml-labs
Machine Learning. There is a suite of Machine Learning laboratory tasks.
classification knn knn-classification machine-learning nlp nlp-machine-learning numpy pandas pandas-dataframe python python3 random-forest regression scikit-learn-python skele trees
Last synced: 15 Apr 2026
https://github.com/oleksiilatypov/mlzoomcamp-capstone01
mlzoomcamp capstone project
cnn-classification flask numpy tensorflow
Last synced: 15 Apr 2026
https://github.com/lulunac27a/number-statistics-jupyter-notebook
Number statistics app in Jupyter Notebook
jupyter jupyter-lab jupyter-notebook jupyter-notebooks jupyternotebook notebook number number-statistics number-stats numpy numpy-arrays numpy-python python python-notebook python-notebooks statistics stats
Last synced: 15 Apr 2026
https://github.com/dmitruzik/python_projects
All python projects are here
matplotlib numpy pandas python seaborn
Last synced: 15 Apr 2026
https://github.com/arv-anshul/campusx-graphs
Contains all the graphs provided by CampusX to learn Statistics and Algebra with some added feature.
algebra campusx-dsmp data-science matrix numpy statistics streamlit vizualisation
Last synced: 15 Apr 2026
https://github.com/anshpg/exploration-in-image-processing-digit-image-generation
This project, developed by Anshuman Pattnaik, explores image processing techniques using Python libraries such as pandas, numpy, matplotlib, and cv2 (OpenCV). The primary objective of the project was to delve into image processing with a focus on creating a unique dataset and algorithm for image generation.
cv2 image-generation image-processing ipynb-jupyter-notebook matplotlib-pyplot numpy opencv pandas
Last synced: 01 Feb 2026
https://github.com/nits2612/data-science-projects
Portfolio of data science projects completed by me during PGP AI/ML, self learning, and hobby purposes.
data data-science dataanalysis deep deep-learning keras machine-learning matplotlib numpy opencv pandas python scikit-learn seaborn surprise-python tensorflow transfer-learning
Last synced: 01 Feb 2026
https://github.com/luizabash/wmap-tt-eda
EDA of the WMAP 5-Year TT Power Spectrum data, the analysis includes summary statistics, data visualization, polynomial regression for model fitting, and hypothesis testing
astrophysics matplotlib numpy pandas scipy
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https://github.com/hygull/pyrandocs
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base64 beautifulsoup class exception-handling hashlib json jwt-authentication loops matplotlib nltk numpy pandas python2 python27 python3 requests searching time-complexity urllib urllib2
Last synced: 15 Apr 2026
https://github.com/davityak03/english-audio-to-hindi-text-using-pretrained-model
The primary goal of this project is to transcribe English audio and then translate the transcribed text into Hindi.
adam-weight-decay css flask html nlp numpy python tensorflow tokenizer transformers translation
Last synced: 26 Feb 2026
https://github.com/sharkb8t/credit-risk-classification
Demonstrates my abilities to use Jupyter Notebook with scikit-learn to train and evaluate a machine learning model.
jupyter-notebook numpy pandas pathlib python scikit-learn
Last synced: 15 Apr 2026
https://github.com/coueghlani/nlp
Proyecto de Procesamiento de Lenguaje Natural y Análisis de Datos
mineria-de-datos nlp nlp-machine-learning nltk numpy procesadores-de-lenguajes sklearn spacy
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https://github.com/smahala02/materials-science-introduction
Introduction to Materials Science concepts using Python for array manipulation and visualization with NumPy and Matplotlib.
data-visualization materials-science matplotlib numpy python scientific-computing
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https://github.com/hansalemaos/all_against_all
Each item of a list against all others
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https://github.com/codealphaprojects/spotify-music-recommender
CodeAlpha Machine Learning Task-1
jupyter-notebook machine-learning matplotlib numpy pandas pycharm-ide python scikit-learn spotify spotify-api streamlit vscode
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https://github.com/mahmud-kandawala/simulating-covid-19-python-
This repository contains a Python program that simulates the spread of COVID-19 using Numpy and Matplotlib for calculations and visualization. The simulation offers an interactive way to understand virus dynamics and the impact of epidemiological parameters.
Last synced: 16 Apr 2026
https://github.com/mariam-zaidi/bike-sharing-prediction-model
Build a multiple linear regression model for the prediction of demand for shared bikes.
linear-regression matplotlib numpy pandas rfe seaborn sklearn
Last synced: 09 Feb 2026
https://github.com/harmanveer-2546/statistics-for-machine-learning
Statistical tools help you clean and organize your data. You can identify outliers, manage missing values, and ensure your data is in a format that the ML algorithms can understand.
inline matplotlib matplotlib-styles numpy pandas probability python seaborn statistics
Last synced: 18 Apr 2026
https://github.com/baschin1103/neural-network-building-in-python
In this repository is a programm with a pretrained artificial neural network from Building AI. The network predicts the price of a cabin based on it's attributes.
bias building-ai forward-pass functioning identity linear-combinations neural-network numpy python regression relu
Last synced: 16 Apr 2026
https://github.com/puureya2/catalogue-price-scraper
Scrape & store product prices with Selenium & BeautifulSoup4. Visually represent data with MatPlotLib,Personal Project
beatifulsoup4 chrome-webdriver matplotlib numpy pandas python python-csv selenium webscraping
Last synced: 16 Apr 2026
https://github.com/anuraganalog/random-test-case-generator
Generate Random Test Cases
arrays case characters file generation generator hacktoberfest hacktoberfest2020 matrices numbers numpy py python3 random random-test-case string test test-cases
Last synced: 11 Feb 2026
https://github.com/leftcoastnerdgirl/matplotlib_and_numpy
This project applies lessons using Matplotlib and Numpy
bar-charts box-and-whisker-plots correlation-analysis data-analytics data-visualization jupyter-notebook linear-regression numpy pandas-dataframe pandas-python r-value scatter-plot scipy scipy-stats
Last synced: 16 Apr 2026
https://github.com/mindkerchief/baselineml
A collection of machine learning task performed during my studies in computer science major in intelligent system.
decision-tree dummy gaussian-mixture-models kmeans-clustering linear-regression logistic-regression machine-learning matplotlib numpy pandas random-forest scikit-learn seaborn tensorflow
Last synced: 16 Apr 2026
https://github.com/mustafaozvardar/image-classification-webapp
This project features an AI model for diagnosing pneumonia from chest X-ray images. Users can upload a chest X-ray image through the app, and the model will classify it.
artificial-intelligence computer-vision keras numpy python streamlit streamlit-webapp tensorflow
Last synced: 27 Feb 2026
https://github.com/isratafrin826/neural-networks-ann_using_mnist-dataset
matplotlib-pyplot numpy seaborn tensorflow
Last synced: 16 Apr 2026
https://github.com/walkerdustin/python-linear-regression
simple linear regression in python based on coursera andrew ng course
ai linear-regression machine-learning ml numpy python
Last synced: 05 May 2026
https://github.com/shakhthi/mlproject
This project is an end-to-end ML solution that predicts math scores from student attributes. It starts with ingesting and preprocessing data, followed by feature engineering to pinpoint key predictors. A robust model is then trained and fine-tuned before being seamlessly deployed to deliver real-time predictions.
jupyter-notebook matplotlib-pyplot numpy pandas python3 seaborn sklearn
Last synced: 16 Apr 2026
https://github.com/spoortimorabad/personally-identifiable-information-pii-
Detecting Personal Information and Masking Method
faker llms numpy pandas pre-trained-model python streamlit structured-data supabase torch unstructured-data
Last synced: 16 Apr 2026
https://github.com/tzepart/choosing-oil-region
Choosing and initialisation a machine learning model that will help determine the region where production will bring the greatest profit with the least risk of loss.
matplotlib ml numpy pandas seaborn sklearn
Last synced: 16 Apr 2026
https://github.com/dpgitaccount/project---hospital-readmission-analysis
The goal of this project is to build a predictive model to estimate the likelihood of a hospital readmission based on patient data. By identifying factors that contribute to readmissions, hospitals can optimize care and reduce costs associated with repeated visits.
boxplot confusion-matrix datamodeling exploratory-data-analysis heatmap histplot numpy pandas plotly python random-forest seaborn smote-sampling visualization
Last synced: 16 Apr 2026
https://github.com/harmonicode/signal_equalizer
Signal Equalizer is a Python-based application designed to process and analyze various types of signal data, including audio and ECG signals. It provides functionalities for reading, processing, visualizing, and enhancing signal data using techniques such as Wiener filtering.
audio-processing numpy pyqt5 scipy signal-processing wiener-filter
Last synced: 13 Feb 2026
https://github.com/maia-bastos/estimativas
Projeto de Probabilidades, Amostragem e Estimações com dados reais (IBGE).
numpy pandas python3 scipy-stats
Last synced: 16 Apr 2026
https://github.com/islamshahil/neuralnetworks
Hello World to Neural Network.
deeplearning neural-network numpy python
Last synced: 16 Apr 2026
https://github.com/rakesh3596/tutedude_projects
It consist of 3 major project 1:Covid19 Analysis 2:Rainfall Prediction 3:Tumor Detection
csv-files matplotlib numpy pandas plotly python sklearn-library
Last synced: 16 Apr 2026
https://github.com/andreashovaldt/simple-neural-network
A simple neural network, created with numpy, based on Stochastic Gradient Descent, used for classifying the MNIST dataset
mnist-classification neural-network numpy stochastic-gradient-descent
Last synced: 16 Apr 2026
https://github.com/codersales/machine-learning-classification
machine learning jupyter notebooks | data-science | priority | relevant | significant | green-light | 1 | may-2023-filtered | may-2023-filtered-2 | may-2023-filtered-3 | filtered-4 | frequent
authorized classification current decision-tree ensemble-techniques jupyter machine-learning more-than-100-commits more-than-300-commits numpy pandas python3 ranked repository-5 seaborn sklearn stacking sub-critical supervised-learning workstation
Last synced: 07 Mar 2026
https://github.com/kavayk29/speech-recognition-using-tdnn-and-data-augmentation
Developed a speech recognition system using TDNN, preprocessing audio, extracting MFCC features, and training the model. Fine-tuning with augmented data (19,000 rows) improved accuracy from 9% to 80% training and 40% validation. Data augmentation proved crucial for enhancing model performance and generalization. Still working to increase the acc.
deep-learning keras-tensorflow numpy os pandas tdnn tensorflow
Last synced: 14 Feb 2026
https://github.com/mattia-hulathduwage/wine-quality-analyzer
A machine learning project that analyzes wine quality using clustering, regression, and classification techniques. The model predicts wine quality scores based on chemical properties and determines the most influential features affecting quality.
machine-learning matplotlib numpy pandas python scikit-learn seaborn
Last synced: 16 Apr 2026
https://github.com/saurabh274/netflix-eda
Analyze the data and generate insights that could help Netflix in deciding which type of shows/movies to produce and how they can grow the business in different countries.
matplotlib numpy pandas python seaborn
Last synced: 28 Feb 2026
https://github.com/awaisfraaz/python-libraries
Here’s a repository description for a project where youA repository dedicated to exploring and experimenting with Python’s main libraries, featuring sample code, documentation, and practical examples for learning and reference.
matplotlib numpy pandas python seaborn
Last synced: 15 Feb 2026
https://github.com/nagar2nd/ml-regressionmodel---cardekho-price-prediction
This repository features a machine learning model for predicting used car prices using data from CarDekho.com. The project leverages exploratory data analysis and regression techniques to empower sellers and buyers with actionable insights in the Indian used car market.
analytics cleaning-data data linear-regression machine-learning matplotlib numpy pandas python seaborn
Last synced: 16 Apr 2026
https://github.com/justin-marian/numpy-mlp
MLP from-scratch implementation only with NumPy, it supports regression and classification tasks.
classification lasso mlp numpy r2-score regression ridge
Last synced: 16 Feb 2026
https://github.com/tomaslopera/truncamiento
matplotlib modeling-and-simulation numpy scipy seaborn
Last synced: 16 Apr 2026
https://github.com/hafidaso/predicting-industrial-machine-downtime-level-3
This project aims to develop a predictive model using machine learning techniques to forecast machine failures based on historical operational data.
imbalanced-learning numpy pandas python scikit-learn seaborn xgboost
Last synced: 16 Apr 2026
https://github.com/sasanka14/water_quality_predictions
Water Quality Prediction - College Project 🌊💧 Predicts water potability (safe/unsafe) using ML models like XGBoost & Random Forest. Features data preprocessing, feature importance, model evaluation, and visualizations. Built with Python, Pandas, Scikit-learn & Seaborn for analysis. 🚀
anaconda jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn xgboost
Last synced: 16 Apr 2026
https://github.com/ksasi/smartcab
machine-learning numpy pandas python reinforcement-learning scikit-learn
Last synced: 16 Apr 2026
https://github.com/ricky1984a/customer_analytics
Customer Analytics
kneed machine-learning matplotlib-pyplot numpy pandas python scipy seaborn sklearn
Last synced: 13 Apr 2026
https://github.com/anujdutt9/reinforcement_learning
Reinforcement Learning using Numpy and PyTorch.
numpy python3 pytorch reinforcement-learning
Last synced: 16 Apr 2026
https://github.com/lorenzorottigni/ml-advertising
Machine Learning python bootcamp: logistic regression on advertising dataset
ipynb logistic-regression machine-learning numpy pandas python scikit-learn seaborn
Last synced: 16 Apr 2026
https://github.com/pramodyasahan/health-insurance-cost-prediction
This project focuses on predicting health insurance costs using a polynomial regression model. By employing machine learning techniques in Python, the project aims to accurately estimate insurance costs based on various personal attributes. The model takes into account several features including age, sex, BMI, number of children, smoking status etc
machine-learning matplotlib numpy pandas python3 scikit-learn
Last synced: 16 Apr 2026
https://github.com/5hraddha/sda-megaline-the-best-plan
Megaline is a telecom operator and it offers its clients two prepaid plans, Surf and Ultimate. The commercial department wants to know which of the plans brings in more revenue in order to adjust the advertising budget.
data-visualization hypothesis-testing matplotlib numpy pandas scipy seaborn statistical-data-analysis
Last synced: 16 Apr 2026
https://github.com/eljandoubi/predict-customer-churn-with-clean-code
Clean Code Principles
autopep8 logging numpy pandas pylint pytest scikit-learn
Last synced: 16 Apr 2026
https://github.com/reshmaaiman/liver-patient-prediction
Liver Disease Prediction
data data-science data-visualization dataanalysis jupyter-notebook numpy pandas python seaborn
Last synced: 16 Apr 2026
https://github.com/aadityasikder/neural-network-from-scratch-
This notebook demonstrates a neural network implementation using NumPy, without TensorFlow or PyTorch. Trained on the MNIST dataset, it features an architecture with input layer (784 neurons), two hidden layers (132 and 40 neurons), and an output layer (10 neurons) with sigmoid activation.
backward-propagation evaluation forward-propagation mnist-dataset neural-network neural-networks-from-scratch numpy training
Last synced: 16 Apr 2026
https://github.com/magnusrodseth/disaster-tweets
📚 Assignments in the course IT3212 - Data Driven Software at NTNU. Our task is to classify whether a tweet is related to a disaster or not.
adaboost jupyter-notebook logistic-regression numpy pandas python python3 random-forest support-vector-machines xgboost
Last synced: 16 Apr 2026
https://github.com/khaymanii/calories-burnt-prediction-model
This model was built using Python and XGBoost Regression algorithm
matplotlib numpy pandas python scikit-learn
Last synced: 16 Apr 2026
https://github.com/anas436/student-performance-analysis
In this project I have constructed a Machine Learning System which will analyis students performance with about their academic records. Note that, this project will work with any students recods which you want to provide.
data-analysis jupyter-notebook matplotlib numpy pandas python3 seaborn
Last synced: 16 Apr 2026
https://github.com/abhishekpsonawane07/loan-repayment-prediction-ml
Loan Approval Prediction uses machine learning to analyze factors like income and credit history, automating and improving the loan approval process. The project ensures accurate, efficient, and user-friendly predictions with a Gradio interface.
artificial-neural-networks confusion-matrix decision-trees gradio-interface k-nearest-neighbours loan-dataset loan-prediction-analysis loan-repayment logistic-regression numpy pandas python random-forest sckiit-learn seaborn support-vector-machines
Last synced: 16 Apr 2026
https://github.com/thekartikeyamishra/customer-retention-predictor
The Customer Retention Predictor is a Python-based tool designed to help businesses predict customer churn using historical data. This project is particularly beneficial for small businesses and MSMEs in India, allowing them to identify customers at risk of leaving and take proactive measures to retain them.
joblib machine-learning numpy pandas python scikit-learn tinker
Last synced: 16 Apr 2026
https://github.com/pedasoft-consult/customer_analytics_fmcg
Customer Analytics in FMCG Industry
k-means-clustering matplotlib numpy pandas python seaborn
Last synced: 03 Mar 2026
https://github.com/iankitnegi/python_projects
Data Analyst Toolkit: A comprehensive collection of Python scripts and notebooks designed for data analysis tasks. Features data cleaning, visualization, statistical analysis, and machine learning models. Ideal for analysts seeking efficient, reproducible workflows.
matplotlib numpy pandas python seaborn
Last synced: 20 Apr 2026
https://github.com/mugambi645/exploring-ebay-car-sales-data
Exploring ebay car sales dataset
car-sales data-analysis numpy pandas
Last synced: 16 Apr 2026
https://github.com/moonmoonsamal/meesho_order_financial_analysis
Generating insights from Meesho sales data (Oct-Nov)
cleaning-dataset eda numpy pandas visualization
Last synced: 16 Apr 2026
https://github.com/sahiltiwariiii/dssp
Predicting student math scores ! This project utilizes advanced machine learning techniques and MLOps tools like DVC and MLflow to predict a student's math score based on various factors such as gender, race/ethnicity, parental level of education, lunch type, test preparation course, writing etc
docker dotenv dvc flask machine-learning mlflow mlops mysql mysql-connector-python numpy pandas pymysql python python-dotenv scikit-learn seaborn sklearn-library statistics streamlit
Last synced: 27 Mar 2026
https://github.com/samalyarov/practicum_projects
Various data analysis projects displaying tools and instruments that I am proficient with
data-analysis datetime folium geojson matplotlib numpy pandas plotly postgresql powerpoint python regular-expressions requests-library-python scipy seaborn sql sqlalchemy tableau tqdm
Last synced: 02 Apr 2026
https://github.com/leftcoastnerdgirl/supervised_learning
This project demonstrates supervised machine learning using scikit-learn.
classification-reports confusion-matrix jupyter-notebook numpy pandas-python pathlib scikit-learn sklearn
Last synced: 16 Apr 2026
https://github.com/rahulchouhan1/spotify-most-popular-songs-data-analysis
🎵 Spotify Songs Analysis using Pandas
Last synced: 16 Apr 2026
https://github.com/oguzhantekeli06/datascience_machinelearning_prediction
Data science project
data-visualization datascience-machinelearning numpy python3
Last synced: 25 Apr 2026
https://github.com/littie28/hazy-frames
Hierarchical coordinate frames - crystal clear transforms
3d coordinate-systems geometry numpy python reference-frames scipy transformations
Last synced: 18 Apr 2026
https://github.com/kganitis/bam-engine
High-performance Python implementation of the macroeconomic agent-based BAM model using ECS architecture
agent-based-modeling computational-economics macroeconomics numpy python
Last synced: 04 Mar 2026
https://github.com/bishopce16/school_district_analysis
The school board requested an analysis on the various performance metrics for the school district.
data-analysis jupyter-notebook numpy pandas python visual-studio-code
Last synced: 16 Apr 2026