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/deepcloudlabs/dcl702-2021-jul-12
DCL-702: Data Analytics using Python
data-analytics numpy pandas python3
Last synced: 05 May 2026
https://github.com/sunilvarma-l/liverdiseaseprediction
"Streamlit app to predict liver disease risk using a machine learning model based on patient input data."
machine-learning matplotlib numpy pandas pickle python scikit-learn seaborn streamlit
Last synced: 13 Apr 2026
https://github.com/asuquoaa/cdc_2017_immunization_data_analysis
This project analyzes data from the CDC's 2017 National Immunization Survey Public Use File (NISPUF17) to answer research questions about immunization, child health, and vaccine-related behaviors.
Last synced: 12 Apr 2026
https://github.com/francislauriano/chatsoftex
Plataforma desenvolvida em Python que visa automatizar e agilizar o processo de avaliação de projetos de inovação tecnológica, utilizando inteligência artificial e critérios padronizados com base na Lei do Bem.
cryptography fernet firebase flask flask-jwt-extended hugging-face-transformers numpy openai pdfplumber postgresql pyjwt pymupdf-fitz pypdf2 python pytorch scikit-learn scipy spacy sqlalchemy tensorflow
Last synced: 03 Apr 2026
https://github.com/neelays/xor-xnor_neural_network
NumPy neural network to approximate XOR/XNOR
Last synced: 15 May 2026
https://github.com/fanisgl/cnn_machine_learning
A Machine Learning exercise that trains Convolutional Neural Network (CNN) using the tensorflow 2 and Keras libraries to predict images from the CIFAR-10 dataset.
data-science keras machine-learning neural-networks numpy pandas pooling-layers relu softmax tensorflow2
Last synced: 24 Feb 2026
https://github.com/navindafernando/lane-detection
Lane Detection with Image Feature Extraction Techniques :aerial_tramway:
image-feature-extraction kernel-filters machine-learning neighborhood numpy opencv sobel-filter
Last synced: 13 Apr 2026
https://github.com/muhammadshavaiz/hand-sketch-recognition--inceptionv3
The Hand Drawn Sketch Classification project uses PyTorch to classify hand-drawn sketches. It evaluates model Inception_v3, with Inception_v3 achieving the highest accuracy of 57%. The repository features scripts for dataset management, model training, and evaluation.
inception-v3 matplotlib numpy pandas python pytorch
Last synced: 14 Apr 2026
https://github.com/saivarun2611/potato_disease_classifier
This project is a Potato Disease Classifier that uses a Convolutional Neural Network (CNN) to classify potato leaves as healthy, suffering from early blight, or late blight. The model helps in early detection of diseases, which can be crucial in maintaining crop health and yield.
cnn keras matplotlib numpy pandas python3 tensorflow
Last synced: 14 Apr 2026
https://github.com/necraul/perlin-noise-py
Some examples of generating perling noise using Python
noise numpy perlin-noise python python3 vector
Last synced: 11 Mar 2025
https://github.com/samkazan/structural_discovery_of_macromolecules_data_analysis
This research project uses machine learning techniques and neural network to uncover key factors that contribute to successful protein structure discovery using Python and R
classification clustering ipython-notebook jupyter-notebook keras-neural-networks keras-tensorflow machine-learning neural-network numpy python r rmarkdown scikit-learn scipy tensorflow
Last synced: 02 Feb 2026
https://github.com/renukadhule/crop_production_python_analysis
This project analyzes crop production data in India from 1997 to 2015, identifying trends, seasonality, and top-performing states and crops. The insights aim to guide improvements in agricultural productivity and policy decisions.
matplotlib numpy pandas python
Last synced: 12 Apr 2026
https://github.com/sun-data/ndoptimize
Numba-accelerated minimization of objective functions.
astropy minimization numba numpy optimization scientific-computing
Last synced: 27 Jan 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/juzershakir/predicting_boston_housing_prices
Builded a model to predict the value of a given house in the Boston real estate market using various statistical analysis tools. Identified the best price that a client can sell their house utilizing machine learning.
bias-variance boston-housing-price-prediction data-exploration decision-tree-regression gridsearchcv k-fold machine-learning matplotlib mlfnd model-evaluation model-validation numpy pandas python3 r2-score sklearn supervised-learning udacity-nanodegree
Last synced: 22 Oct 2025
https://github.com/shuyib/pimadlkeras
Using keras specify-compile-fit- predict workflow on this binary classification problem to investigate if i'll get better predictions.
diabetes hidden-layers keras-neural-networks matplotlib-figures model-validation numpy pima-indians-dataset prediction predictive-modeling python-3-5 seaborn
Last synced: 15 Mar 2026
https://github.com/llwusill/firepredictioncnn
CNN kullanarak Orman Yangını Tahmin/Tespit Sistemi
matplotlib numpy opencv-python pandas sckiit-learn seaborn tensorflow
Last synced: 12 Apr 2026
https://github.com/mnitin-reddy/coffee-shop-sales-analytics
This project analyzes coffee shop sales data to uncover key insights, focusing on customer behavior, product performance, and sales trends. Using Pandas, Matplotlib, and Seaborn, the analysis identifies peak sales hours, popular product categories, and opportunities for upselling or bundling.
datasceince datavisualization exploratory-data-analysis matplotlib numpy pandas python seaborn
Last synced: 07 May 2026
https://github.com/jimmymugendi/luxdev-week-2-boot-camp
correlation-analysis eda matplotlib numpy pandas seaborn-plots visualizations
Last synced: 07 May 2026
https://github.com/nidomika/digit-recognition
Digit recognition project in Python
digit-recognition numpy opencv python tensorflow
Last synced: 12 Apr 2026
https://github.com/ben854719/wasde-revenue-in-2024
The project will use AI to analyze the revenue from the dataset of the World Agricultural Supply and Demands Estimates.
gemini langchain large-language-models matplotlib numpy pandas-python
Last synced: 12 Apr 2026
https://github.com/mlicamele/neural-network
Project focused on exploring the computations behind neural networks by building one from scratch with only numpy and testing it with the MNIST dataset.
gradient-descent matrix-computations neural-networks numpy python
Last synced: 12 Apr 2026
https://github.com/ishtufinquant/portfolio-optimizer
Optimizes stock portfolios using simulation and real-world constraints (SLSQP).
backtesting finance numpy pandas portfolio-optimization python quant scipy yfinance
Last synced: 12 Apr 2026
https://github.com/hifly81/photox
photo and album organizer for gtk3
gtk3 numpy opencv-python photography pil pillow python
Last synced: 24 Oct 2025
https://github.com/kostadinlambov/bitcoin-and-stock-market-correlation
This study uses a quantitative research design to analyze the relationship between Bitcoin prices and the stock market over the past five years with the S&P 500 Index serving as a proxy for the stock market.
bitcoin data-science jupyter-notebook matplotlib matplotlib-pyplot numpy pandas python scipy-stats seaborn sp500-data-analysis
Last synced: 09 Apr 2026
https://github.com/liviuxyz-ctrl/financialportofoliosimulator
FinancialPortfolio is your financial planning ally, helping you manage portfolios, calculate future values, and visualize performance, all with user-friendly ease🚀
matplotlib numpy python simulation
Last synced: 12 Apr 2026
https://github.com/bilgenurbekar/turkishcyberbullying
Contains fine-tuned BERT models and results in the text classification category using Turkish social media data
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Last synced: 07 Mar 2026
https://github.com/parthds02/customer-segmentation-with-kmeans-clustering
Analyze customer behavior using Python and KMeans Clustering on transactional data. Features RFM analysis, data cleaning, clustering insights, and actionable visualizations to support business decision-making.
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https://github.com/ankitmishralive/machinelearning
Continuously deep diving in understanding & advancing my expertise in Machine Learning through ongoing education and hands on experience with practical learning.
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https://github.com/atul-maurya-30/galaxy
Galaxy Classification is a machine learning project focused on classifying galaxies into two subclasses: 'STARFORMING' and 'STARBURST'. This project demonstrates data preprocessing, model training, and evaluation using advanced machine learning techniques and Python libraries.
flask machine-learning matplotlib numpy pandas python regression-classification seaborn sklearn
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https://github.com/azaz9026/machine_learning_algorithms
Machine learning algorithms are computational models that allow computers to understand patterns and forecast or make judgments based on data without the need for explicit programming. These algorithms form the foundation of modern artificial intelligence and are used in a wide range of applications, including image and speech recognition.
machine-learning machine-learning-algorithms numpy pandas python3 seaborn sklearn-library
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https://github.com/satyacoder29/crm-analytics-power-bi
CRM Analytics Dashboard – An interactive dashboard using Tableau, SQL, and Salesforce CRM Analytics (CRMA) to analyze sales performance, customer segmentation, and churn prediction. Features automated ETL pipelines, predictive analytics, and real-time insights for data-driven decision-making. 🚀📊
advanced-excel data-analysis data-cleaning data-collection data-transformation data-visualization matplotlib numpy pandas powerbi python seaborn sql tableau
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https://github.com/rayniel95/erecog
Simple ethnicity classifier using transfer learning with VGG. // unfinished
artificial-intelligence artificial-neural-networks artificialintelligence deep-learning deeplearning-ai ethnicity-classifier fairface-dataset jupyter-notebook keras machine-learning machinelearning machinelearning-python neural-networks notebook-jupyter numpy pandas-python python python3 sckit-learn
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https://github.com/sudarshanc00/mnist-digit-classification
This project uses a machine learning model to classify handwritten digits (0-9) from the MNIST dataset, a popular collection of grayscale images for image classification benchmarking. It includes a Jupyter Notebook to train a neural network, enabling accurate recognition and classification of digits.
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Last synced: 12 Apr 2026
https://github.com/luliatuccu/weather_analysis
This project highlights a combination of data science techniques and Python programming to explore real-world weather data.
data-preprocessing eda feature-engineering machine-learning matplotlib numpy pandas regex scikit-learn seab seaborn weather weather-patterns
Last synced: 02 Apr 2026
https://github.com/rubada/machine-learning-with-ruba-dabbas
Advance your skills and start your career here, by taking the online courses on Intuidemy.
course learning machine machine-learning matplotlib matplotlib-pyplot models numpy pandas python scikit-learn
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https://github.com/yashaka/learncv
Toolset used in learning Computer Vision at R_D course
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https://github.com/shivangmathur1/simple-qlearning
Solving gym environments using Numpy Qtables and Q-learning
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https://github.com/ifimust/room_generator
Room generator service for 2D game levels
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https://github.com/harmanveer-2546/nba-homecourt-advantage-data-analysis
In this repo we're diving into NBA game data to explore the phenomenon of home court advantage.
analysis homecourt learning-curve linear-models logisticregression metrics model-selection nba nba-analytics nba-stats numpy pandas preprocessing seaborn sklearn standardscaler
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https://github.com/miasanromen/math-modeling
Math modeling with Python. Statistics, math, graphics
math matplotlib numpy probality-theory scipy-stats statistics
Last synced: 14 Apr 2026
https://github.com/adriantomin/bulldozer-price-prediction
Predicting the Sale Price of Bulldozers Using Machine Learning 🚜💰 This project uses machine learning to predict bulldozer sale prices based on historical data from the Kaggle Bluebook for Bulldozers competition. The goal is to minimize the RMSLE between actual and predicted prices.
data-science jupyter-notebook machine-learning matplotlib-pyplot numpy pandas python scikit-learn
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https://github.com/hafaio/homeotopy
A python library for computing homeomorphisms between some common continuous spaces
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https://github.com/2kabhishek/ml-primer
Basic Machine Learning & Data Science in Python/ 📈🐍
jupyter-notebook machine-learning matplotlib numpy pandas python
Last synced: 12 Apr 2026
https://github.com/AsuquoAA/CDC_2017_Immunization_Data_Analysis
This project analyzes data from the CDC's 2017 National Immunization Survey Public Use File (NISPUF17) to answer research questions about immunization, child health, and vaccine-related behaviors.
Last synced: 21 Jul 2025
https://github.com/miguelszzz/simple_mnist
Minimalist MNIST implementation with two hidden layers written in C
ddpm densenet-tensorflow generative-model image-processing keras machine-learning neural-network numpy scratch tensorflow-mnist-train transformer triplet-loss vit vit-mnist
Last synced: 25 Mar 2025
https://github.com/supriya811106/whatsapp-chat-analyzer-app
Analyze WhatsApp chats with Python, Streamlit, and data visualization. Explore messaging patterns, content trends, and emoji usage to uncover insights from your conversations.
analyzer-web-app chat-analytics chat-analyzer data-preprocessing data-visualization emojis machine-learning matplotlib natural-language-processing nltk numpy pandas plotly python3 seaborn sentiment-analysis streamlit-webapp text-analysis user-engagement
Last synced: 30 Dec 2025
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/mairagalvao/steak_risk_data
A data analysis based on correlations and comparisons among the samples.
database matplotlib numpy pandas python3 sql
Last synced: 12 Apr 2026
https://github.com/konynour/facedectection
This project demonstrates real-time face detection using OpenCV and a pre-trained SSD (Single Shot MultiBox Detector) model. The system captures video from a camera, processes the frames, detects faces, and displays the results with bounding boxes and confidence scores. This application showcases the use of deep learning models for object detection
cv2 jupyter-notebook lambda-functions matplotlib numpy opencv python3
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
https://github.com/pocketfullofdata/electric-vehicles-market-size-analysis
This project analyzes the growth, adoption trends, and future projections of the electric vehicle (EV) market. Using data analysis and visualization techniques, it examines key factors like sales trends, and consumer adoption to understand the evolving landscape of the EV industry.
analysis data jupyter-notebook matplotlib numpy python seaborn vscode
Last synced: 07 May 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/nilayhangarge/data-analysis-with-python
This repository provides a practical introduction to data acquisition and analysis using Pandas. It covers loading datasets, exploring data, manipulating data, and gaining insights through statistical summaries. Ideal for beginners, it offers code examples and explanations to enhance your data manipulation skills using Pandas for Python.
data-acquisition data-analysis data-analytics data-binning data-cleaning data-engineering data-fundamentals data-insights data-integration data-preprocessing data-science data-wrangling numpy pandas python
Last synced: 12 Apr 2026
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/gerardomacedo/ml-from-scratch
Logistic regression from scratch (NumPy) with tests and CLI; compared vs scikit-learn
ci-cd from-scratch logistic-regresion machine-learning numpy python unittest
Last synced: 23 Jun 2026
https://github.com/harshit433/brain-tumor-classification
It is a CNN model trained to predict the type of brain tumor from an MRI scan.
artificial-neural-networks cnn-classification image-classification keras-tensorflow numpy pandas python transfer-learning
Last synced: 12 Apr 2026
https://github.com/nordszamora/ds-ml-projects
My repository for Data Science & Machine Learning projects.
data-analysis data-science data-visualization jupyter-notebook kaggle machine-learning matplotlib numpy pandas python scikit-learn seaborn
Last synced: 15 Apr 2026
https://github.com/hariprasath-v/av_job-a-thon-august-2022
Build a Machine Learning model to predict the CTR(click through rate) of an email campaign based on the email campaigning information.
exploratory-data-analysis klib machine-learning matplotlib numpy pandas pycaret-library regression seaborn sklearn
Last synced: 12 Apr 2026
https://github.com/OneMoreDavid/python-like-a-boss
This is where I stash my Python study material.
data data-analysis data-engineering data-science data-visualization datascience ipynb ipynb-jupyter-notebook ipynb-notebook numpy pandas python python3
Last synced: 28 Oct 2025
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/nakshjainsonigara/football-eda
This EDA offers a comprehensive exploration of football analytics, leveraging Python libraries to analyze players, club games, and various other aspects of the sport. Through statistical analysis and visualization, we uncover insights into player performance, club strategies, and league dynamics providing valuable insights for football enthusiasts.
dash exploratory-data-analysis matplotlib numpy pandas plotly python scipy seaborn statistics
Last synced: 07 Jan 2026
https://github.com/slovnicki/matematicki-softver
homeworks and projects for Mathematical Software course
ipython jupyter latex markdown mathplotlib numpy pandas scikit sympy
Last synced: 15 Apr 2026
https://github.com/pereira-elizabeth/aah-2d-hermitian
Minimal 2D AAH model: build, diagonalize, and plot spectrum (NumPy/Matplotlib)
condensed-matter numpy physics scipy tight-binding
Last synced: 07 May 2026
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/djdhairya/parkinson-s-disease-detection
datapreprocessing machine-learning modeling numpy pandas scikit-learn svm
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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/shwetapardhi/assignment-03-q5--hypothesis-testing
Chi2 contengency independence test Q5. Fantaloons Sales managers commented that % of males versus females walking in to the store differ based on day of the week. Analyze the data and determine whether there is evidence at 5 % significance level to support this hypothesis. Assume Null Hypothesis as Ho: Independence of categorical variables (% of
alternate-hypothesis chi2-contingency contingency-analysis hypothesis-testing null-hypothesis numpy pandas python scipy significance-testing stats
Last synced: 28 Jan 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/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/ericchw/youth_discord_nlp_chatbot
A python AI chatbot with emotion detection model. Frontend using PHP, API using Flask and database using PostgreSQL. Collaborate with CyberYouth from SJS. @HKMU 2022-2023 FYP
ai bootstrap chatbot chinese-nlp docker emontion-detection flask jquery machine-learning nlp nlp-machine-learning nltk numpy pgsql php postgresql pycord torch transformers
Last synced: 21 Jan 2026
https://github.com/kavayk29/audio-classification-using-python-library
This is a audio classification Project using python Libraries such as librosa to make the visual representation of the audio files, and using numpy to make array of data for manipulation and then extraction the features for classification to train and test of CNN model.
librosa matplotlib-pyplot mfcc-features numpy pandas sklearn-library
Last synced: 07 May 2026
https://github.com/reckonsys/datascience-docker
A docker image with numpy, scipy, nltk and pandas pre-installed with pip
docker docker-image dockerfile nltk numpy pandas scipy
Last synced: 10 Mar 2025
https://github.com/otuemre/housepricingml
A machine learning project predicting house prices using regression models. Covers data preprocessing, feature engineering, and model comparison to achieve accurate results. Developed for a Kaggle competition, focusing on effective ML workflows and model interpretability.
eda encoding evaluation-metrics kaggle-competition lightgbm-regressor machine-learning matplotlib-pyplot neural-networks numpy pandas preprocessing python ridge-regression scikit-learn seaborn tensorflow xgboost-regression
Last synced: 13 Apr 2026
https://github.com/programmersteve/price_regression_ml
jupyter machine-learning matplotlib numpy pandas python scikit-learn
Last synced: 12 Apr 2026
https://github.com/maxencebonamy/ascii-webcam
You can see yourself in real time through characters in a terminal. This project is an enhancement of another project which consists in converting an image to ASCII format, which allows, in a way, to compress it.
ascii numpy opencv python webcam
Last synced: 07 May 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/asherk7/house-price-prediction
House Prices - Advanced Regression Techniques - Predict sales prices and practice feature engineering, RFs, and gradient boosting
data-science numpy pandas regression scikit-learn
Last synced: 15 Apr 2026
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
Last synced: 30 Jan 2026
https://github.com/jaypanchal9/fraud-detection-case-study
A comprehensive case study applying machine learning techniques to detect fraudulent transactions effectively.
machine-learning matplotlib numpy pandas python3 scikit-learn seaborn xgboost
Last synced: 15 Apr 2026
https://github.com/carolina-riddick/xg-by-match-segments-football-analysis
futbol matplotlib numpy python segments soccer-analytics xg
Last synced: 15 May 2026
https://github.com/linggarm/poultry-meat-freshness-classification-with-transfer-learning-using-resnet
The utilization of the ResNet architecture and Transfer Learning methods to classify Poultry Meat Freshness images into two categories, namely Fresh and Rotten.
artificial-intelligence binary-classification cnn colab-notebooks computer-vision deep-learning fine-tuning imagenet machine-learning meat-classification numpy pandas poultry python residual-networks resnet scikit-learn supervised-learning tensorflow transfer-learning
Last synced: 15 Apr 2026
https://github.com/martincastroalvarez/search-keras-gensim-elasticsearch
Search Engine using Word Embeddings, GloVe, Neural Networks, BART and Elasticsearch
elasticsearch gensim gensim-word2vec keras nlp numpy python scipy spacy word2vec
Last synced: 15 Apr 2026
https://github.com/ljadhav25/decision-tree-random-forest-algorithm-data-science-
This repository contains an implementation of decision tree and random forest algorithms from scratch in Python. Decision trees and random forests are popular machine learning algorithms used for classification and regression tasks. The goal of this project is to provide a clear and understandable implementation of these algorithms
data-analysis data-science decision-trees machine-learning-algorithms matplotlib numpy pandas python random-forest-classifier
Last synced: 15 Apr 2026
https://github.com/linggarm/fruit-images-search-engine
A Content Based Image Retrieval (CBIR) application of Information Retrieval with fruit images
artificial-intelligence cbir computer-vision content-based-image-retrieval css flask html information-retrieval javascript machine-learning numpy pillow python search-engine tensorflow
Last synced: 12 Apr 2026
https://github.com/aaaastark/life_expectancy_predication
Life_Expectancy_Predication
dataframe machine-learning matplotlib numpy pandas python sklearn tensorflow
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/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/sothulthorn/stock-prediction-portal
The Stock Prediction Portal is a full-stack web application that demonstrates how to use machine learning models to analyze stock market data and forecast future trends.
axios django django-rest-framework javascript keras matplotlib numpy pandas python react tensorflow yfinance
Last synced: 02 Apr 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
Last synced: 31 Jan 2026
https://github.com/massimilianovisintainer/diabetics-prediction-model
Machine learning model for diabetes prediction.
machine-learning numpy pandas python sklearn svm-classifier svm-model
Last synced: 25 Feb 2026
https://github.com/moh-27sl/image-alignment--python-edition
Alignment of an unaligned image with a base/reference image using feature detection, feature matching, and homography in OpenCV.
ai classical-computer-vision classical-image-processing computer-vision computervision image-alignment image-processing imageprocessing neural-network numpy opencv python python3
Last synced: 15 Apr 2026