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/dmitruzik/python_projects
All python projects are here
matplotlib numpy pandas python seaborn
Last synced: 15 Apr 2026
https://github.com/offthetab/lung_cancer_prediction
ML for Lung Cancer Prediction dataset from kaggle.
matplotlib numpy pandas python seaborn sklearn
Last synced: 25 Feb 2026
https://github.com/martincastroalvarez/python-video-processing
Movie generator using MoviePy, OpenCV2 and Numpy.
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/vyask21/opencv-drowsy
Drowsiness detection can be quickly done using shape predictor face landmarks.dat model file that mark the essential landmarks on the face using OpenCV modules.
Last synced: 08 Feb 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/tsar123/neutral-single-nucleotide-polymorphisms-analysis
analysis of data on neutral single nucleotide polymorphisms
dna-polymorphism matplotlib numpy pandas seaborn snv
Last synced: 01 Feb 2026
https://github.com/chandkund/sentiment-analysis-on-movie-reviews
Project on Sentiment Analysis of Movie Reviews using K-means clustering. This project clusters movie reviews based on their sentiment scores to understand audience reactions. Includes data preprocessing, feature selection, model development, and visualization.
data-science eda jupyter-notebook machine-learning matplotlib numpy pandas preprocessing python sklearn
Last synced: 01 Feb 2026
https://github.com/bineet-ratna-shakya/data-science-salary-analysis
analyzing a dataset containing salaries of data science professionals from 2020 to 2023.
data-analysis data-science data-visualization jupyter numpy pandas python
Last synced: 01 Feb 2026
https://github.com/shreenidhi7700/rice-leaf-disease-prediction-using-convolutional-neural-network
Classifying images of rice leaf disease plants into various disease categories using Convolutional Neural Network
convolutional-neural-networks efficientnet inceptionv3 jupyter-notebook keras machine-learning matplotlib numpy os python resnet50 seaborn shutil-python tensorflow transfer-learning xception
Last synced: 07 Feb 2026
https://github.com/tanzim-prog/sentiment_analysis_ml_stringdata
The motive of this project is to find out the customer satisfaction of some residential hotels of Dhaka.
accuracy-score classification confusion-matrix f1-score logistic-regression machine-learning model-evaluation modelbuilding nlp nltk numpy pandas precision-score recall-score scikit-learn sentiment-analysis
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
Last synced: 01 Feb 2026
https://github.com/hygull/pyrandocs
A repository (pyrandocs i.e. Python's v2/v3 random documents/files) containing different Python v2/v3 based resources (files/documents etc.) from random topics. A project to try different Python's features.
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/legendarym4x/data_science
Data Science Course
jupyter-notebook keras matplotlib nltk numpy pandas scikit-learn spacy tensorflow
Last synced: 02 Feb 2026
https://github.com/sarowarahmed/advertising-sales-app
π Advertising Sales Predictor: A web app powered by a Machine Learning model, built with Numpy, Pandas, Scikit-learn, and Streamlit, to forecast sales based on TV, Newspaper, and Online Advertising. Deployed on Streamlit Cloud for real-time, easy-to-use predictions.
advertising app machine-learning multiple-linear-regression numpy pandas sales scikit-learn streamlit
Last synced: 07 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/subratamondal1/quora-automated-text-classification
Text Classification with Bag of Words - Natural Language Processing
bag-of-words machine-learning matplotlib natural-language-processing nlp nltk numpy pandas python3 pytorch scikit-learn
Last synced: 15 Apr 2026
https://github.com/chandkund/customer-segmentation
Customer segmentation divides customers into distinct groups based on characteristics and behaviors. This project uses K-Means clustering, an unsupervised machine learning algorithm, to segment customers and provide insights for targeted marketing strategies
kmeans-clustering matplotlib numpy pandas python seaborn
Last synced: 15 Apr 2026
https://github.com/olfabelhadj/gestion-d-une-boutique-avec-python
OpenClassrooms parcours Data Analyst Projet 6
matplotlib-pyplot numpy pandas plotly-express plotly-graph-objects seaborn
Last synced: 15 Apr 2026
https://github.com/mdaltamashalam/uber-fare-prediction-models
Predicts the fare amount of Uber rides based on various factors such as pickup/drop-off coordinates, passenger count, and trip distance.
catboost data-analysis data-cleaning data-visualization lgbm-regressor machine-learning matplotlib numpy pandas python random-forest regression-models skit-learn xgboost-algorithm
Last synced: 26 Feb 2026
https://github.com/coueghlani/nlp
Proyecto de Procesamiento de Lenguaje Natural y AnΓ‘lisis de Datos
mineria-de-datos nlp nlp-machine-learning nltk numpy procesadores-de-lenguajes sklearn spacy
Last synced: 08 Feb 2026
https://github.com/bursasha/pandas-numpy-matplotlib-cavies-analysis
Complete statistical analysis of cavy lifetime dataset using Python, Pandas, NumPy, Matplotlib, and SciPy to explore, visualize, and infer the impact of bacilli infection on cavy lifetimes π¦«
cavy dataset-analysis distribution-fitting hypothesis-testing jupyter-notebook matplotlib numpy pandas python-analysis scipy statistical-analysis statistical-methods
Last synced: 09 Feb 2026
https://github.com/ryancswallace/npdb
Parallel NumPy-like interface for large n-dimensional arrays on disk.
mapreduce-designpatterns numpy numpy-arrays parallel-computing python
Last synced: 09 Feb 2026
https://github.com/rampal-punia/data-science-toolkit
Your Go-To Resource for Essential Data Science Related Commands, Concepts, Quick Overviews and Useful Functions.
artificial-intelligence data-science keras machine-learning matplotlib nlp nlp-machine-learning numpy pandas pythorch sql tensorflow
Last synced: 09 Feb 2026
https://github.com/hansalemaos/all_against_all
Each item of a list against all others
Last synced: 02 Apr 2026
https://github.com/sahilk12nayak/data-capstone-projects-using-python-libraries
In this data project we will focus on exploratory data analysis. This project utilizes Python libraries such as NumPy, Pandas, Matplotlib, and Seaborn for data manipulation, analysis, and visualization.
matplotlib numpy pandas seaborn
Last synced: 15 Apr 2026
https://github.com/murugavl/forage_tata_genai_powered_data_analytics
This repository showcases my work from the TATA GenAI Powered Data Analytics Virtual Experience on Forage, where I applied data cleaning, analysis, and visualization techniques to derive actionable business insights.
excel genai matplotlib numpy pandas powerbi python
Last synced: 09 Feb 2026
https://github.com/carterbox/libimage
Provides large (2k) test images as NumPy arrays.
Last synced: 15 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/khinthandarkyaw98/python_for_engineers
This particular Python notebook is designed to provide Engineers with an opportunity to practice scientific computations.
engineering numpy python scientific-computing youtube
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/cherukuri-thanu/conjoint-analysis-netflix
This repository contains configuration files for performing conjoint analysis on Netflix survey data.
conjoint-analysis logistic-regression matplotlib-pyplot netflix numpy pandas squantify statsmodels
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/adriantomin/heart-disease-prediction
Predicting Heart Disease with ML π₯π€ Machine learning model to predict heart disease using clinical data. Includes data analysis, feature engineering, and model training.
machine-learning matplotlib numpy pandas python sklearn
Last synced: 12 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/harmanveer-2546/music-genre-classification
Classifying the genre of a music using deep neural networks.
cnn deep-neural-networks keras labelencoder librosa matplotlib music numpy pandas pickle python scipy seaborn sequential-models tensorflow
Last synced: 12 Feb 2026
https://github.com/ywatanabe1989/scitex-io
Universal scientific data I/O with plugin registry β save/load 30+ formats with one API. Part of SciTeX.
cli csv data-io hdf5 mcp numpy openscience pandas plugin-registry python research scientific-computing scitex
Last synced: 07 Jun 2026
https://github.com/mouradhamzaoui/tweets_sentiments_emotions_analysis
Les rΓ©seaux sociaux, et en particulier Twitter, sont des plateformes essentielles oΓΉ les utilisateurs expriment leurs sentiments et Γ©motions au quotidien. Analyser les tweets peut fournir des informations prΓ©cieuses sur lβhumeur collective et les prΓ©occupations des gens. Ce projet utilise un dataset de tweets disponible sur Kaggle
Last synced: 16 Apr 2026
https://github.com/yalai92/alfalfa_imp_exp_analysis
This repository covers data cleaning, analysis, and visualization of global alfalfa and pellet imports, focusing on trends from 2003 to 2023. It also includes a predictive analysis of global alfalfa demand for 2024-2029, using data science techniques to provide insights for stakeholders in the alfalfa industry.
data-analysis data-cleaning data-visualization matplotlib numpy pandas python sckiit-learn tableau
Last synced: 12 Feb 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/ankit21111/carpredict
This project predicts car prices using machine learning models, including Simple and Multiple Linear Regression. It covers data acquisition, feature selection, and optimization techniques like Ridge Regression. The best model, Multiple Linear Regression, achieved an RΒ² score of 0.84. Check out the full analysis in the repository!
data-analysis data-visualization matplotlib numpy pandas pyhton scipy seaborn sklearn
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/rahulsm20/storedata
A data analysis project aimed at analyzing the sales data of the super store and providing useful insight into customer preferences.
data-analysis matplotlib numpy pandas python streamlit
Last synced: 16 Apr 2026
https://github.com/haimgoldfisher/data_sience_intro_final_project
Final project of the Data Sience Intro course, Ariel university.
bayes classification decision-trees diamond kaggle knn-classification linear-regression logistic-regression numpy pandas regression scikitlearn-machine-learning sklearn wine
Last synced: 16 Apr 2026
https://github.com/maia-bastos/estimativas
Projeto de Probabilidades, Amostragem e Estimaçáes com dados reais (IBGE).
numpy pandas python3 scipy-stats
Last synced: 16 Apr 2026
https://github.com/lexxai/goit_python_ds_hw_09
ΠΠΎΠ΄ΡΠ»Ρ 9. ΠΡΠ΄Π±ΡΡ Π³ΡΠΏΠ΅ΡΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΡΠ² ΠΠ. ΠΠ»ΠΈΠ±ΠΎΠΊΠ΅ Π½Π°Π²ΡΠ°Π½Π½Ρ. Tensorflow. Keras.
adam-optimizer data-science google-colab keras keras-tensorflow 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/limix/ndarray-listener
Implementation of the Observer pattern for NumPy arrays.
Last synced: 14 Feb 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/mchenryspagg/economic-variable-correlation-and-productivity-model
This report provides an in-depth analysis of Nigeria's economic performance over the past decade, spanning from 2014 to 2024.
correlation exchangerates inflation moneysupply numpy productivity python regression regression-analysis regression-models visualization
Last synced: 15 Feb 2026
https://github.com/ben854719/trade-transfer-workflow-optimizer
This AI portfolio tools securely analyzes asset allocation, sector exposure, and performance. Its graph compares real and predicted close prices, enhanced with sentiment indicators such as βConfidentβ and βSurprised.β An avatar assistant provides user guidance combining technical accuracy with intuitive explanations.
agentic-ai avatar cryptography emotion-analysis encryption gemini json langgraph langraph machine-learning-algorithms matplotlib mcp-server numpy opencv-python pandas python pytorch rs256 seaborn
Last synced: 15 Feb 2026
https://github.com/shwetapardhi/assignment-2-set1-q1-basic-statistic-level-2
Plot the data, find the outliers and find out ΞΌ,Ο,Ο^2
boxplot matplotlib-pyplot mean numpy pandas pie-chart python seaborn standard-deviation variense
Last synced: 16 Apr 2026
https://github.com/type0-1/salary-truth-predictor
A supervised machine learning regression model. Includes problem statement, approach to solution, code, images, dataset, and Jupyter Notebook for interactive analysis.
linear-regression machine-learning matplotlib-pyplot ml numpy pandas polynomial-regression projects scikitlearn-machine-learning support-vector-regression
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 ππ§ 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. π
anaconda jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn xgboost
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/hygull/trypandas
A repository containing Python pandas and other data science related sources and other resources used to work with pandas, numpy, matplotlib etc.
matplotlib numpy pandas python3
Last synced: 16 Apr 2026
https://github.com/urvee1810/air-quality-prediction-using-arima
Analyzed Beijing's air quality data using time series analysis and ARIMA modeling to forecast PM2.5 pollution levels. Identified seasonal patterns and correlations between pollutants, revealing insights into urban air quality trends and potential contributing factors.
arima-model dickey-fuller-test matplotlib numpy pandas python seaborn statistical-analysis time-series-analysis
Last synced: 16 Apr 2026
https://github.com/abideen-olawuwo/predictive-maintenance
A predictive maintainance model
decision-trees ipython matplotlib numpy pandas plotly python random-forest seaborn sklearn smote
Last synced: 27 Mar 2026
https://github.com/eljandoubi/breakout-strategy
Implementation of the Breakout Strategy
breakout numpy pandas scipy trading-algorithms trading-strategies training
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/asadiahmad/image-enhancement
Image Enhancement with OpenCV Numpy and MatPlotLib
gamma-correction image-enhancement image-processing matplotlib numpy opencv python roi-selection
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/shiqilu77/machinlearning-lol_gaming
a supervised model that predicts the match winning rate in LOL game based on the lineups of both sides. Implemented data processing by multiple python API including sklearn, NumPy, pandas, and by feature encoding, kNN, Synthetic Minority Oversampling Technique, etc
league-of-legends machine-learning numpy supervised-learning
Last synced: 16 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/archish27/pythontutorial
Python Programming Tutorial for new geeks who want to learn python from scratch to deal with various applications
matplotlib numpy pandas pygame python python-2 python-3 scikit-learn soup
Last synced: 01 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/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
π΅ Spotify Songs Analysis using Pandas
Last synced: 16 Apr 2026
https://github.com/laurencewarne/eratosthenes
Random implementations of the sieve of Eratosthenes
algorithm eratosthenes numpy python3
Last synced: 16 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/gkamboj/image-features-extractor
Detect object in any image along with its features like color, etc.
color-classification connexion feature-extraction flask image-classification image-recognition machine-learning numpy opencv python resnet
Last synced: 16 Apr 2026
https://github.com/dr-rompecabezas/page-view-time-series-visualizer
A data science project built as part of the freeCodeCamp curriculum.
matplotlib numpy pandas python seaborn
Last synced: 16 Apr 2026
https://github.com/dellano54/extreme-matmul
fastest matmul operation than numpy for intel CPU (xeon)
matmul matrix matrix-library matrix-multiplication numpy numpy-arrays numpy-library numpy-matrix pytorch pytorch-implementation pytorch-lightning
Last synced: 16 Apr 2026
https://github.com/basith-ahmed/mtrp-butcher
A Machine Learning model, utilizing a range of technical indicators to accurately forecast forthcoming trend reversals with a high degree of confidence. This model is also complemented by an interactive web interface.
exponential-moving-average ipynb logistic-regression macd machine-learning matplotlib numpy pandas python rsi stochastic-rsi streamlit technical-analysis yfinance
Last synced: 04 Mar 2026
https://github.com/eckelsjd/copier-numpy
Template for a numpy-based scientific computing Python package.
copier-template numpy pdm python
Last synced: 05 Mar 2026
https://github.com/supershivam5/python_projects
π» Python programming with Numpy, Pandas, Matplotlib.π Love exploring new technologies. Check out my projects!
matplotlib-pyplot numpy pandas scikit-learn seaborn
Last synced: 17 Apr 2026
https://github.com/sundanc/besthousefinder
A Streamlit web application that helps users find the best house based on their preferences.
numpy pandas prediction python streamlit
Last synced: 17 Apr 2026
https://github.com/priyanshul28/ml_eda_regression_energyconsumptionforecasting
An EDA and Machine Learning Time-Series Regression Forecasting exercise on the PMJE Energy Consumption dataset demonstrating time-series analysis and the use of Time-Series Split, XGBoost, etc. The model is optimized using hyperparameter tuning through GridSearchCV. A Rob Mulla guided exercise.
forcasting machine-learning numpy pandas scikit-learn time-series-analysis
Last synced: 17 Apr 2026
https://github.com/farzeennimran/or-and-and-gates-using-perceptron-learning
Training single-layer perceptrons to get the outputs of OR and AND logic gates.
data-science gates machine-learning neural-network neural-networks-from-scratch numpy perceptron-learning-algorithm perceptron-neural-networks python
Last synced: 17 Apr 2026
https://github.com/beaprogrammer02345/amazon_webscraping_data
beautifulsoup4 jupyter numpy pandas
Last synced: 05 Mar 2026
https://github.com/miozilla/treebasedmodel
treebasedmodel :evergreen_tree::airplane::dancer: : Invistico Airline | Tree-based Modeling, Machine Learning (ML), Predictive, Decision Making, GridSearchCV, sklearn |
accuracy decisiontreeclassifier exemplar experience f1-score flight hyperparameter logistic-regression matplotlib model numpy pandas plot-tree precision pyplot recall seaborn selection train-test-split tuning
Last synced: 03 Jun 2026
https://github.com/gautam-cs/data_science
In this project, I was trying to get most of the relevent information of the data using library like numpy, pandas. I have worked on data like aadhar data, Olympics data
aadhar-data csv data-science json numpy olympics-data pandas python35
Last synced: 17 Apr 2026
