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/ola-kaznowska/first-steps-in-numpy
My first steps in the NumPy library
mathematics numpy python python3
Last synced: 20 May 2026
https://github.com/elifftosunn/textdataclean
Kirli veri çekildiğinde ön işleme adımlarına gerek kalmadan model eğitimi için hazır hale getirmek amacıyla yapılan uygulamadır.
corpus deasciifier morphological-analysis ngram nltk numpy pandas sentence-embedding sentence-tokenizer stemmer stopwords string turkish turkish-sentence-tokenizer word-tokenizer
Last synced: 20 May 2026
https://github.com/kr1shnasomani/genagenet
Gender and Age recognition from face images
computer-vision deep-learning neural-network numpy opencv
Last synced: 21 Jul 2025
https://github.com/damiieibikun/data-science-capstone-project-ibm---space-x-falcon-9-landing-predictions
Applied Data Science Capstone Project for Cousera's IBM Data science professional
beautifulsoup4 classification dash-plotly data-science data-visualization ibm-capstone interactive-visualizations machine-learning matplotlib numpy pandas python requests-library-python seaborn sklearn spacex-launches
Last synced: 13 Apr 2026
https://github.com/jt4v4res/neural-networks-and-deep-learning
Some neural networks implementation with purpose of understanding the use of this learning algorithm and deep learning.
deep-learning machine-learning machine-learning-algorithms neural-networks numpy perceptron-learning-algorithm
Last synced: 16 Jan 2026
https://github.com/davgiles/ML-Projects
This repository contains my projects from the Data Science & Business Analytics Post-Graduate Program through UT Austin.
eda matplotlib numpy pandas python scikit-learn scipy seaborn visualization xgboost
Last synced: 20 Jan 2026
https://github.com/makoczoro/credit-default-risk-analysis-eda
This repository contains the detailed EDA Analysis of Home Credit Group Dataset. The analysis aims to find demographic and financial factors associated with higher or lower default risks, providing actionable insights for risk mitigation and improved lending practices
bivariate-analysis correlation-analysis data-preprocessing exploratory-data-analysis exploratory-data-visualizations matplotlib numpy pandas seaborn univariate-analysis
Last synced: 20 May 2026
https://github.com/pransu-code/marathonprediction
Case-based Time Prediction for Recreational Marathon Runners
gbm machine-learning-algorithms numpy pandas python random-forest regression-models scikit-learn seaborn sklearn
Last synced: 07 Mar 2026
https://github.com/massimilianovisintainer/house-price-model-prediction
House price prediction model using XGBoost.
machine-learning models numpy pandas python sklearn xgboost xgboost-regression
Last synced: 20 Jan 2026
https://github.com/redinfinitypro/circuitpythonprojects
Rating: (4/10) This Python script simulates circuits using PySpice, importing libraries like NumPy and Matplotlib. It defines voltage divider, diode circuits, subcircuit definitions, DC sweep analysis, and simulates each circuit using the simulator.
matplotlib numpy os pyspice sys
Last synced: 15 May 2026
https://github.com/viivianreine/carbon-footprint-calculator-using-advanced-machine-learning-cnn-
🌍 An AI-powered Carbon Footprint Calculator built with Python, TensorFlow (CNNs), and Streamlit. Delivers real-time emission predictions, visual insights, and country-wise comparisons from user lifestyle data. Adaptive, scalable, and designed to drive sustainability through intelligent software solutions.
api-based-ai-integration cloud-ready convolutional-neural-networks data-featuring data-preprocessing ipcc keras keras-tensorflow matplotlib model-optimization numpy pandas python realtime-database seaborn streamlit streamlit-deployment streamlit-webapp supervised-machine-learning tensorflow
Last synced: 08 Apr 2026
https://github.com/rahulraimau/credit-card-fraud-detection
This project develops a real-time credit card fraud detection system using the Kaggle Credit Card Fraud Detection Dataset, containing 284,807 transactions with 31 features (Time, Amount, V1-V28, Class).
imbalanced-learn- matplotlib numpy pandas python pytorch scikit-learn- tensorflow
Last synced: 08 Apr 2026
https://github.com/udayraj04/facialemotion_musicrecommendations
A web application that detects facial emotions via webcam and recommends music tracks that match the user’s mood in real-time. Built with Flask, TensorFlow/Keras, OpenCV, and a React frontend.
cnn flask machine-learning numpy opencv pil reactjs tensorflow
Last synced: 08 Apr 2026
https://github.com/sridharyadav07/ai--powered-task-management-system
An intelligent Task Management System that integrates Sentiment Analysis, Task Optimization, and Forecasting to streamline project and task handling. This AI-powered tool is designed to assist teams and project managers in making data-driven decisions by understanding emotional context, forecasting productivity, and optimizing workload distribution
arima flask joblib jupyter-notebook naive-bayes-classifier nltk numpy pandas pickle-file python randomforestregressor scikit-learn stopwords-removal streamlit tfidf-vectorizer
Last synced: 08 Apr 2026
https://github.com/s-h-i-v-i-s/bangalore-housing-price-prediction
A Machine Learning Project to predict Bangalore House Prices.
jupyter-notebook machine-learning matplotlib numpy pandas python pythonflask sklearn
Last synced: 08 Apr 2026
https://github.com/rdmolony/nix-numpy-financial
A nix derivation for numpy-financial - https://pypi.org/project/numpy-financial/#files
Last synced: 05 Mar 2025
https://github.com/annygutierrez/data-preprocessing
Preprocessing deep learning template.
matplotlib numpy pandas sklearn
Last synced: 02 May 2026
https://github.com/ramankishore08/sales-data-analytics
Sales data analysis using Python and Power BI
datacleaning datavisualization exploratory-data-analysis linear-regression numpy pandas python seaborn
Last synced: 20 May 2026
https://github.com/harrisonwelch/pythondatascience
Repo of code from the linked-in lesson "Python: Data Analysis"
data data-science matplotlib notes numpy python tutorial
Last synced: 12 Apr 2026
https://github.com/vlad1343/tools
This repository demonstrates the acquisition of advanced Python programming skills through structured exercises and projects, with a strong emphasis on NumPy for array manipulation, slicing, masking, and reshaping
jupyter-notebook numpy numpy-library numpy-python pandas pandas-python python python3
Last synced: 08 Apr 2026
https://github.com/okoge-kaz/deep_learning
O'REILY ゼロから作るDeep Learning
deep-learning neural-network numpy pandas perce python3
Last synced: 20 Apr 2026
https://github.com/thekartikeyamishra/aipoweredmarketingassistant
AI-Powered Marketing Assistant, an advanced tool designed to enhance your digital marketing campaigns using the power of machine learning (ML) and large language models (LLMs). This project empowers small businesses and MSMEs to create compelling content, analyze campaigns, and strategize effectively.
artificial-intelligence llm matplotlib numpy openai pandas python scikit-learn streamlit
Last synced: 08 Apr 2026
https://github.com/dmarks84/coursework_capstone_spacex_predictions
Final Project for IBM Data Science Professional Certificate -- Applied all skills and methods utilized in the series of courses for this certification to predict the success of SpaceX landings; issued full report to stakeholders
api classification dash eda folium linear-algebra matplotlib mysql numpy pandas plotly probability python seaborn sql statistics supervised-ml technical-writing web-scraping
Last synced: 08 Apr 2026
https://github.com/01one/python-online-with-pyodide
Run and edit python code including matplotlib and numpy on the browser with pyodide and codemirror
matplotlib-python numpy pyodide python-browser python-online python-online-compiler
Last synced: 29 Mar 2025
https://github.com/mostafa-bashir/investigating_dataset_udacity
ipython jyputer-notebook numpy pandas python
Last synced: 13 Feb 2026
https://github.com/jha2001/movie-recommender-system
machine-learning nltk numpy pandas pickle scikit-learn streamlit
Last synced: 05 Mar 2025
https://github.com/mikhailkhorokhorin/the-loop
Student project of team "полетики-самолетики"
3dsmax krpc ksp math matplotlib numpy python
Last synced: 20 May 2026
https://github.com/ksharma67/eda-on-ipl
In this python notebook, analysis of IPL matches from 2008 to 2020 is done using python packages like pandas, matplotlib and seaborn.
data-analysis data-science eda matplotlib numpy pandas python seaborn
Last synced: 07 May 2026
https://github.com/matteofasulo/pytripadvisor
Trip Advisor Web Scraper
beautifulsoup4 folium geopandas matplotlib nltk-tokenizer numpy pandas plotly python restaurant scipy selenium sql
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https://github.com/redinfinitypro/redditbot
Rating: (7/10) This script collects, preprocesses, trains models, processes images, and handles files, handling data from Reddit, image processing, and file handling.
autocorrect bytesio concurrent nltk numpy openpyxl pandas pil praw random re requests secrets sklearn string tensorflow time urllib
Last synced: 08 Apr 2026
https://github.com/tuokri/rs2-weapon-damage-analysis
Data visualization app for Rising Storm 2: Vietnam.
dash data-display data-visualization numba numpy pandas plotly postgres rising-storm-2-vietnam sqlalchemy timescaledb
Last synced: 17 Jul 2025
https://github.com/dulajkavinda/diabetes-detection
💊detect diabetes using machine learing
added machinelearning numpy pandas python scikit
Last synced: 14 Sep 2025
https://github.com/sandeepannandi/slicecam
SliceCam is a fun, camera-controlled game powered by OpenCV and Mediapipe that lets you slash flying fruits with real-time hand tracking.
collision-detection handtracking mediapipe mediapipe-hands motiondetection numpy opencv pygame python
Last synced: 06 May 2026
https://github.com/nurulashraf/linear-regression-spotify
Data Science - Spotify Linear Regression Analysis
data-analysis data-preprocessing data-visualization dataset-exploration feature-selection linear-regression machine-learning matplotlib mean-squared-error model-evaluation multiple-regression music-analytics numpy predictive-modeling python regression-analysis root-mean-squared-error scikit-learn seaborn spotify-data
Last synced: 01 May 2026
https://github.com/iamfarrokhnejad/some-neural-network-application
This repository contains various NN codes converted from Matlab to Python
cv2 deep-learning deep-neural-networks educational matplotlib neural-network neural-networks neuralnetwork neuralnetworks numpy python sklearn tensorflow tensorflow2
Last synced: 06 May 2026
https://github.com/miltiadiss/TSLA-stock-price-prediction
matplotlib numpy pandas scipy sklearn
Last synced: 31 Dec 2025
https://github.com/claby2/mouse-track
Track, display, and graph the position of a mouse cursor.
c cpp matplotlib numpy python sdl2 windows
Last synced: 12 Apr 2026
https://github.com/baschin1103/principal_component_analysis
In this repository you find a python program and the prints and 3D-visualization of it. After the KNN-Classification I wanted to know which variables have the most relevance for the results. One approach for this is the Principal-Component-Analysis (PCA). More details in the python program as comments.
3d-printing labelencoder matplotlib numpy pandas principal-component-analysis sklearn-library sqlalchemy standardization variable-importance
Last synced: 13 May 2026
https://github.com/joeylemon/python-kmeans
an implementation of the K-means clustering algorithm in Python
k-means-clustering matplotlib ml numpy python
Last synced: 21 May 2026
https://github.com/rtmigo/markov_walk_py
🔢 Python module that calculates probabilities for a random walk in 1-dimensional discrete state space
absorbing-markov-chains absorbing-states markov-chain mathematics numpy probability probability-theory random-walk stochastic-matrix stochastic-models
Last synced: 21 May 2026
https://github.com/pramodyasahan/titanic-survival
This repository contains a machine learning project focused on predicting the survival of passengers on the Titanic. The project uses a Support Vector Regression (SVR) model from the sklearn library and involves data preprocessing and prediction.
data-preprocessing matplotlib numpy pandas python scikit-learn support-vector-regression
Last synced: 08 Apr 2026
https://github.com/tushar365/titanic---machine-learning-from-disaster
"Titanic: Machine Learning from Disaster" is a classic Kaggle competition for beginners https://www.kaggle.com/competitions/titanic. The goal is to use machine learning to predict which passengers survived the sinking of the Titanic based on historical data. This teaches data analysis and model building skills in a real-world context.
data-science dicision-tree logistic-regression machine-learning matplotlib-pyplot numpy pandas python seaborn
Last synced: 19 Apr 2026
https://github.com/khaja-shaik-21/heart-disease-prediction-system
This form allows users to enter key health details like age, blood pressure, cholesterol levels, and exercise results to predict the likelihood of heart disease. The data is submitted to the backend for processing, where a machine learning model provides a prediction. The form is styled for a clean and responsive user experience.
css3 flask-application git html5 logestic-regression numpy pandas python3 scikit-learn
Last synced: 12 Apr 2026
https://github.com/abidhasanrafi/pharma-sales-analytics
A Streamlit-powered web application for analyzing pharmaceutical sales performance across teams, products, and territories.
matplotlib numpy pandas plotly sales-analysis scikit-learn seaborn streamlit
Last synced: 08 Apr 2026
https://github.com/suryavamsi-p/youtube-trends-and-tracks-engagement
This project aims to leverage Python’s robust visualization libraries to derive deep insights from YouTube video trends data. Using the 'youtube.csv' dataset, this analysis explores the dynamics of YouTube video attributes such as views, likes, dislikes, and comment counts to understand user engagement and their emotional insights.
dash datavisualization hypothesis-testing matplotlib normality-test numpy pandas python3 scipy seaborn visual-studio-code
Last synced: 03 Nov 2025
https://github.com/mhmudfzli/loan-approval-prediction
This project demonstrates a comprehensive approach to solving a regression problem using various machine learning models. The notebook includes: Data Preprocessing, Exploratory Data Analysis (EDA), Model Training, Hyperparameter Tuning, Model Evaluation, Feature Importance
automl catboost numpy pandas python scikit-learn seaborn
Last synced: 08 Apr 2026
https://github.com/praju-1/data_science_projects
It contains the necessary code, datasets, and documentation to understand, replicate, and build upon the project's findings and methodologies.
data-science datasets deep-learning exploratory-data-analysis machine-learning matplotlib numpy pandas predictive-analytics python seaborn sklearn statistics visualization
Last synced: 08 Apr 2026
https://github.com/anas436/loan-case-will-be-paid-off-or-not-prediction-using-classification-with-python
decision-trees f1-score ibm-watson itertools jaccard-score knearest-neighbor-algorithm log-loss logistic-regression matplotlib-pyplot numpy pandas python3 scikit-learn sklearn support-vector-machines
Last synced: 08 Apr 2026
https://github.com/lorenzorottigni/ml-yelp-reviews
Machine Learning python bootcamp: natural language processing on Yelp reviews
machine-learning nlp numpy pandas python scikit-learn seaborn
Last synced: 08 Apr 2026
https://github.com/singhvishal003/email-spam-detector-model
Email Spam Detector model to detect spam messages.
Last synced: 08 Apr 2026
https://github.com/dennis-mureti/final-data-analysis-data-science
African financial crisis data analysis
machine-learning matplotlib numpy pandas python seaborn
Last synced: 08 Apr 2026
https://github.com/ricomeetsworld/ml-roadmap
Opinionated roadmap to machine learning in 2023
conda huggingface machine-learning matplotlib numpy pandas python pytorch
Last synced: 06 Apr 2025
https://github.com/jaewonson37/neural_networks_and_deep_learning1
adam-optimizer backward-propagation cost-functions forward-propagation gpt gredient-decent machine-translation momentum multihead-attention multilayer-perceptrons neural-network-training neural-style-transfer numpy rmsprop xor-logical-operator
Last synced: 21 May 2026
https://github.com/marknature/opencv-bootcamp
If you are looking to take your first steps towards learning Computer Vision and AI using OpenCV, this is the best OpenCV course to jumpstart your career.
anaconda computer-vision cv2-library ffmpeg jupyter-notebook matplotlib numpy opencv os urllib zipfile
Last synced: 02 Mar 2025
https://github.com/omarsaad21/credit-train-data-science-project
This a full web application to predict the credit score of clients plus I did many visulizations to express many insights in chart
eda matplotlib ml numpy pandas python sklearn streamlit-webapp
Last synced: 09 Apr 2026
https://github.com/shrutiii1109/diwali-sales-analysis-through-python
Data analysis project on Diwali sales using Python (Pandas, NumPy, Matplotlib, Seaborn). The goal is to analyze customer behavior, identify sales trends, and provide insights to improve marketing and business strategies.
data-analysis jupyer-notebook matplotlib numpy pandas python seaborn
Last synced: 30 Apr 2026
https://github.com/sahilmaurya28/youtube-data-analysis
YouTube Data Analysis using Python — uncovering trends, engagement patterns, and correlations between likes, comments, views, and categories to understand what drives content success.
analysis data-analysis data-visualization matplotlib-pyplot numpy pandas portfolio-project python seaborn youtube
Last synced: 13 Apr 2026
https://github.com/emredemirbas/google-playstore-eda
Exploratory Data Analysis (EDA) of the Google Play Store dataset — examining trends in app ratings, categories, pricing, and user engagement using Python and LaTeX.
exploratory-data-analysis matplotlib numpy pandas python seaborn
Last synced: 03 May 2026
https://github.com/nskamaleshmani/exoseeker
🌌 Discover and analyze exoplanets with ExoSeeker, a tool designed for efficient world-hunting using Python and data visualization techniques.
exoplanet-transits exoplanets gradient-boosting machine-learning matplotlib nasa nasa-data nasa-spaceapps-challenge numpy pandas perceptron-neural-networks random-forest streamlit
Last synced: 03 Nov 2025
https://github.com/isk-daniar/-contrast-improvements-on-pil
Contrast improvements on PIL
Last synced: 10 Jun 2026
https://github.com/shibbir-ahmad24/a-data-driven-approach-to-food-security-and-supermarket-accessibility
A Data-Driven Approach to Food Security and Supermarket Accessibility
data-analysis matplotlib numpy pandas python3 seaborn
Last synced: 05 Apr 2025
https://github.com/thavinduushan/object-detection
Application developed for real-time object detection and counting utilizing COCO dataset
Last synced: 15 Apr 2026
https://github.com/apuravdivekar2032/real-estate-price-prediction
A real estate price prediction website developed using Python with Numpy and Pandas for data cleaning Matplotlib for data visualization and scikit-learn for model building, featuring a Flask server to handle HTTP requests and integrates a user-friendly UI built with HTML, CSS, and JavaScript
flask html-css-javascript jupyter-notebook matplotlib numpy pandas pycharm python3 sklearn vscode
Last synced: 20 Jan 2026
https://github.com/gyselle-marques/transferlearningyolo-desafiodio
Machine Learning: Rotulação de uma base de dados e aplicação de transfer learning com a rede YOLO.
brazilian-portuguese coco coco-dataset colab-notebook dataset dio-bootcamp image-classification machine-learning neural-network numpy object-detection python transfer-learning yolo
Last synced: 10 May 2026
https://github.com/hawkharsh1/house-price-pridiction-model-using-ann
A deep learning-based regression model built using Artificial Neural Networks (ANN) in PyTorch to predict house prices from structured data. This project demonstrates the application of machine learning and deep learning techniques for solving real-world problems in the housing domain.
artificial-neural-networks deep-neural-networks machine-learning numpy pandas python3 pytorch scikit-learn
Last synced: 08 Apr 2026
https://github.com/cyberlument/opencv-colormasking-red-
This mini project opencv is for educational purpose.
numpy opencv opencv-python pycharm vscode
Last synced: 20 Jan 2026
https://github.com/caefleury/cis-ieee-difusion-model
Repositório teste para códigos do projeto de Modelo de Difusão do branch CIS-IEEE
docker docker-compose numpy python3 tensorflow
Last synced: 08 Apr 2026
https://github.com/chawthinn/car-price-prediction-regression-ml
This project predicts used car prices using regression models including Linear, Ridge, Random Forest, XGBoost, and LightGBM. It covers preprocessing, EDA, model evaluation, hyperparameter tuning, and model persistence using Scikit-learn and related libraries.
car-price-prediction lgbmregressor linearregression numpy pandas python scikit-learn xgbregressor
Last synced: 08 Apr 2026
https://github.com/chandkund/image-classification-using-the-mnist-dataset
Image Classification using the MNIST dataset. This project leverages a Convolutional Neural Network (CNN) to recognize and classify handwritten digits with high accuracy. Includes data preprocessing, model architecture, and evaluation. Explore the code and results here!
computer-vision data-science machine-learning matplotlib numpy pandas python
Last synced: 08 Apr 2026
https://github.com/anas436/analyzing-automobile-data-set-using-python
jupyter-notebook numpy pandas python3
Last synced: 08 Apr 2026
https://github.com/allenvox/neural
Workspace for Neural Networks class
jupyter-notebook neural-networks numpy python pytorch tensorflow
Last synced: 02 Jan 2026
https://github.com/zborovskaanna/grosery_store_sales_analysis
Python data analysis project. Analysis of grocery store sales using visualizations and reporting in Tableau
data-analysis data-visualization matplotlib numpy pandas python seaborn tableau
Last synced: 08 Apr 2026
https://github.com/raghavendranhp/airbnb-data-analysis
The Airbnb Data Analysis project focuses on analyzing Airbnb data using MongoDB Atlas, Python scripting, data preprocessing, visualization, and interactive geospatial insights. We delve into the world of property management and tourism to uncover trends, pricing variations, and location-based analysis.
eda jupyter-notebook mongodb numpy pandas powerbi preprocessing
Last synced: 08 Apr 2026
https://github.com/rakibhhridoy/covid19analysisindashboard-tableau
Covid19 dashboard analysis of world,north america,south east Asia and their characteristics upon pandemic. Some interesting statistics is shown by the data. The increase rate make effect on death and recover rate quite periodic. Simulating those changes make more interactive.
covid-19 dashboard data-processing dataviz numpy pandas python statistics tableau tableau-dashboards
Last synced: 06 May 2026
https://github.com/rdvdev2/tf-test
Mostres de ML i IA amb TensorFlow basades en els tutorials oficials per al PR
numpy python research-project tensorflow tensorflow-tutorials
Last synced: 22 Mar 2025
https://github.com/omraj0/covid19-data-analysis
Analysis of COVID-19 infection rates in various countries, correlating them with factors such as GDP per capita and social support.
covid-19 google-colab matplotlib numpy pandas python
Last synced: 19 Apr 2026
https://github.com/iv4n-ga6l/Object_Detection_With_Background_substractor
Object Detection and Tracking with OpenCV background subtractors
background-substraction-algorithm background-subtraction lucas-kanade numpy object-detection object-tracking opencv optical-flow python scipy
Last synced: 26 Feb 2025
https://github.com/pranjalshivhare06/medical-ensurance-charge-predictor
The Insurance Price Predictor is a machine learning project designed to predict insurance costs based on various input features. The project leverages four different algorithms, with XGBoost emerging as the most accurate and efficient model.
fastapi machine-learning numpy pandas xgboost-classifier
Last synced: 19 Apr 2026
https://github.com/anmamun0/data-analysis-home-cleaning-services
This repository contains the analysis and visualization of data from a home cleaning services dataset. The project provides valuable insights into revenue generation, customer trends, and regional performance, helping businesses make data-driven decisions.
Last synced: 05 Mar 2025
https://github.com/vyjayanthipolapragada/image_classifier_model_hotdog
Building an Image classifier model to train and test a dataset and classify the given images into hotdog and not-hotdog.
artificial-intelligence dataset image-classification image-processing machine-learning matplotlib neural-networks numpy pandas python pytorch tensor torchvision transfer-learning
Last synced: 08 Apr 2026
https://github.com/bala-1409/peerloankart-loan-fraud-detection-datascience-project
This project uses machine learning to predict whether a loan applicant will repay their loan. The project uses a dataset of historical loan data from PeerLoanKart, a peer-to-peer lending platform.
correlation data-analysis data-cleaning data-science data-visualization dimensional-analysis eda exploratory-data-analysis feature-engineering gradient-boosting-classifier hyperparameter-tuning juypter-notebook machine-learning machine-learning-algorithms numpy pandas predictive-modeling python3 scikitlearn-machine-learning supervised-learning
Last synced: 08 Apr 2026
https://github.com/muhkartal/e-forecast
machine learning-powered energy consumption prediction system that analyzes historical data to forecast future energy usage trends, optimizing efficiency and sustainability.
fastapi joblib matplotlib numpy pandas pydantic pytest sckit-learn seaborn tensorflow tqdm uvicorn xgboost yaml
Last synced: 08 Apr 2026
https://github.com/iliailmer/numpy_learn
A small machine learning mock-library written entirely in numpy and shamelessly imitating PyTorch.
deep-learning machine-learning mnist numpy scipy
Last synced: 09 May 2026
https://github.com/tabotcharlesbessong/python-errors
This repository will contain all python errors i will encounter in my life as a python plus their solutions
matplotlib-animation matplotlib-pyplot numpy pandas python-script python3 scikit-learn seaborn
Last synced: 16 Apr 2026
https://github.com/secary/compsci7211
Foundations of Computer Science B
algorithms git numpy pandas shell unix
Last synced: 10 Apr 2026
https://github.com/tomas542/dl_examples
Examples of Machine Learning, Deep Learning, Natural Language Processing and so on
computer-vision cv deep-learning dl keras machine-learning ml natural-language-processing nlp numpy python pytorch scikit-learn
Last synced: 08 Apr 2026
https://github.com/gmork2/covid-19
A mathematical analysis of the infection growth
coronavirus covid-19 jupyter-notebook numpy pandas python scikit-learn
Last synced: 08 Apr 2026
https://github.com/lorenzorottigni/ml-lending-club
Machine Learning python bootcamp: random forest classifier on LendingClub dataset
ipynb machine-learning numpy pandas python random-forest-classifier scikit-learn seaborn
Last synced: 08 Apr 2026
https://github.com/colesmcintosh/pycuda-numpy-vector-ops
Accelerating NumPy Vector Operations with PyCUDA
Last synced: 28 Apr 2026
https://github.com/lintangwisesa/flask_sklearn_californiahouse
Simple Flask App with Linear Regression model to predict California house pricing 🏠
california-house-pricing flask linear-regression machine-learning numpy pandas sklearn
Last synced: 12 Apr 2026
https://github.com/dmarks84/coursework_project_boston-data-project
Project for IBM Data Science course on Statistics -- Read in a large data set and performed several statistical analyses and hypothesis testing
communication data-modeling data-reporting dataframes eda hypothesis-testing matplotlib numpy pandas probability python scipy seaborn statistics visualization
Last synced: 08 Apr 2026
https://github.com/shreyavats23/sign_language_recognition
Sign Language Recognition using Deep Learning : ~ Built a model to recognize American Sign Language (ASL) for letters A–Z and digits 1–9 ~ Achieved ~89% validation accuracy using a Convolutional Neural Network (CNN) ~ Used data augmentation techniques to improve generalization ~ Visualized predictions to test the model on real samples
artificial-intelligence keras machine-learning matplotlib numpy python pytorch seaborn sklearn tensorflow
Last synced: 08 Apr 2026
https://github.com/ashithapallath/comparison-of-ssd-sad-in-motion-estimation-of-video-coding
Course assignment for Algorithm and Massive Datasets comparing SAD and SSD for motion estimation. Includes analysis of accuracy, speed (Python/NumPy), and error sensitivity. Highlights trade-offs for speed-critical vs. precision-focused applications.
l1-normalization l2-norm numpy pytho video-cod
Last synced: 04 Apr 2025
https://github.com/hariprasath-v/machinehack_analytics_olympiad_2023
Create a machine learning model to determine the likelihood of a customer defaulting on a loan based on credit history, payment behavior, and account details.
binaryclassification catboost exploratory-data-analysis machine-learning numpy pandas python scikit-learn shap
Last synced: 08 Apr 2026
https://github.com/priyanshulathi/cancer-diagnosis-prediction-model
A Machine Learning project to predict cancer malignancy using K-Nearest Neighbor, Support Vector Machine, and Decision Tree algorithms.
machine-learning numpy pandas python scikit-learn
Last synced: 03 Jan 2026