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: 2026-06-24 00:18:03 UTC
- JSON Representation
https://github.com/theankurgoswami/study-notes
Notes of topics I study.😛
deep-learning-book linear-algebra numpy opencv pandas regular-expressions sql tensorflow
Last synced: 09 Apr 2026
https://github.com/haidermalikk/neural-network-circuit-optimizer
The Neural Network Circuit Optimizer, built on my custom digital circuit simulator, uses AI and machine learning to optimize simple digital circuits. It leverages neural networks, circuit simulation, and optimization algorithms to reduce component count which improves: power usage, and execution time and efficiency. *Under Dev see Readme*
ai jupyter-notebook matplotlib ml numpy pandas python pytorch sqlalchemy tensorflow
Last synced: 10 Apr 2026
https://github.com/rcghpge/pymo
A framework in Mojo for AI/ML/DL applications and other domains.
deep-learning deep-neural-networks machine-learning machine-learning-models magic-cli max-gpu modular mojo mojo-language numpy pandas pymo python python-language scikit-learn
Last synced: 15 Mar 2025
https://github.com/sorna-fast/car-price-prediction-exercise-with-regression-model
Car price forecasting with one-variable, two-variable, three-variable, lasso, ridge, and elastic regression models
elastic-net grid-search-hyperparameters jupyter-notebook lasso-regression matplotlib numpy pandas pandas-dataframe pandas-python plotly regression regression-models ridge-regression
Last synced: 16 Mar 2025
https://github.com/aarryasutar/credit_eda
This project focuses on cleaning and analyzing a loan application dataset to gain insights into the factors influencing loan defaults. Through systematic data cleaning, visualization, and merging with previous application data, it provides a robust foundation for further predictive modeling.
binning boxplot correlation-matrix data-cleaning data-splitting dataframe feature-engineering heatmap jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn
Last synced: 13 Apr 2026
https://github.com/uea-geral/rna-perceptron-exercise
🤖Disciplina de RNA: treinamento de um neurônio Perceptron.
jupyter-notebook neural-network numpy perceptron python scikit-learn
Last synced: 13 Apr 2026
https://github.com/shanmukhsrisaivedullapalli/automatic-ticket-classification
This project processes customer complaint data using pandas for data manipulation and applies text preprocessing techniques, including lemmatization, to clean and normalize complaint text. The `tqdm` library provides progress bars for efficient tracking of text processing tasks.
matplotlib neural-networks nlp numpy pandas python3 scikit-learn seaborn tensorflow tqdm wordcloud
Last synced: 11 Apr 2026
https://github.com/surtecha/multi-physics-simulation-engine
A real world physics simulation application built with python
jax numpy physics pygame python scipy simulation
Last synced: 14 Apr 2025
https://github.com/mhmudfzli/exploring-mental-health-data
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
catboost lightgbm matplotlib numpy pandas scikit-learn seaborn xgboost
Last synced: 09 Apr 2026
https://github.com/aryansingla45/sentiment-analysis
Sentiment Analysis Project on Twitter data
deep-learning jupyter-notebook keras logistic-regression machine-learning natural-language-processing numpy pandas python scikit-learn tensorflow
Last synced: 11 Apr 2026
https://github.com/dipeshgoyal013/ipl_win_probability
A project which help you to check win probability of batting team in inning 2nd
machine-learning matplotlib numpy pandas python sklearn
Last synced: 05 Feb 2026
https://github.com/thamirisq/data_analysis_culinary_journey
Project to analyze key information from Culinary Jorney, a marketplace Company, and develop an initial strategy to lead the entire team effectively.
folium-maps groupby-method jupyter-notebook markercluster marketplace-ds matplotlib-pyplot numpy pandas pandas-dataframe streamlit
Last synced: 10 Apr 2026
https://github.com/kumartusha/data_scientist-ai-ml-_training_anudip_foundation
Anudip Foundation Data Analytics Training 📊 A repository containing projects, assignments, and coursework from the Anudip Foundation Data Analytics training program. This includes work on: 🧹 Data Cleaning & Preprocessing 📉 Data Visualization & EDA 📊 Statistical Analysis
excel matplotlib numpy pandas powerbi python scipy sql
Last synced: 10 Apr 2026
https://github.com/mihirh19/python
a repository for collaborative development and version control using Git that houses Python code files, documentation, tests, and other project-related files.
algorithms data-structures django fastapi flask machine-learning numpy pandas python
Last synced: 11 Apr 2026
https://github.com/solrikk/optichrom
This repository provides a collection of Python tools and applications for comparing images using various algorithms such as ORB (Oriented FAST and Rotated BRIEF) and SSIM (Structural Similarity Index). The tools include both command-line scripts and graphical user interface (GUI) applications for ease of use
computer-vision cv2 feature-matching image-comparison image-comparison-tool machine-learning numpy object-detection opencv orb python scikit-image ssim tkinter visualization yolo yolov5
Last synced: 18 Jan 2026
https://github.com/nvinayvarma189/deep-learning-with-tensorflow
This repo consists all the basics of tensorflow and all major Deep Learning algorithms and techniques implemented in tensorflow. It will explain you the basics of tensorflow. You can visualize how tensors flow through a grapg while you create one
autoencoder cnn deep-learning gan matplotlib neural-network numpy pandas python3 reinforcement-learning rnn tensorflow
Last synced: 11 Apr 2026
https://github.com/imswappy/brain-tumor-detection
🧠 Deep learning project for brain tumor classification using MRI images. Built with transfer learning (VGG16 + fine-tuning), TensorFlow/Keras, and deployed via Streamlit. Dataset & model loaded dynamically from KaggleHub. Includes training notebook, evaluation, and interactive web app.
kagglehub keras numpy pandas scikit-learn streamlit tensorflow vgg16-model
Last synced: 13 Apr 2026
https://github.com/tynab/machine-learning-overview
CyberSoft Machine Learning 03 - Overview
elasticnet-regression jupyter-notebook k-nearest-neighbours knn knn-classification label-encoder lasso-regression linear-regression logistic-regression machine-learning matplotlib numpy one-hot-encoder ordinal-encoder pandas ridge-regression scikit-learn scipy seaborn sklearn
Last synced: 11 Apr 2026
https://github.com/skywalkersam/ml-101
Machine Learning 101
ai-ml jupyter-notebooks matplotlib ml ml-framework numpy pandas python3 scikit-learn tensorflow
Last synced: 09 Apr 2026
https://github.com/programmer-rd-ai/dimensionality-reduction
DimRed is a comprehensive Python toolkit for advanced dimensionality reduction, integrating with major machine learning libraries and featuring real-time performance monitoring to enhance data analysis and model efficiency.
analytics data-analysis data-science lightgbm machine-learning matplotlib numpy pandas programming python python3 sklearn university xgboost
Last synced: 01 Mar 2025
https://github.com/21aja/house_price_prediction_revised_project
House price prediction using ML with Decision Tree Regressor achieving 100% accuracy. Preprocessing, EDA, and model evaluation applied using Python, Pandas, NumPy, Scikit-learn, and XGBoost for data-driven insights.
decision-tree-classifier linear-regression numpy pandas xgboost
Last synced: 13 Apr 2026
https://github.com/huangcongqing/python-libraries
python库(numpy,pandas...)学习
matplotlib numpy pandas python3 xgboost
Last synced: 09 Mar 2026
https://github.com/luluw8071/neural-network-from-scratch-using-numpy
A linear neural network from scratch using Numpy for training MNIST Dataset
deep-neural-networks digit-recognition-mnist mnist-classification neural-network-from-scratch numpy python
Last synced: 15 May 2026
https://github.com/clayrisser/math-playground
Personal math playground
graph math matplotlib numpy playground python
Last synced: 26 Apr 2026
https://github.com/michaelradu/computational-physics
A collection of Jupyter notebooks demonstrating the use of Python to solve classical and modern physics problems through computational modeling.
computational-model computational-modeling computational-physics education educational jupyter jupyter-notebook latex matplotlib notebook notebooks numerical-analysis numerical-methods numpy physics physics-analysis physics-simulation python scikit-learn
Last synced: 07 Apr 2025
https://github.com/daniel207pzd/google-advanced-data-analytics-capstone-project-salifort-motors
data-analysis-python data-analytics exploratory-data-analysis google-advanced-data-analytics google-advanced-data-analytics-capstone jupyter-notebook matplotlib numpy pandas python random-forest scikit-learn scikitlearn-machine-learning seaborn xgboost
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https://github.com/bbergerud/faraday_complexity
Classifying complex Faraday sources with Keras
astronomy cnn-classification deep-learning faraday-rotation keras numpy tensorflow
Last synced: 10 Apr 2026
https://github.com/tasninanika/k-means-clustering
An interactive and insightful customer segmentation project using K-Means Clustering.
matplotlib numpy pandas plotly python3 scikit-learn seaborn
Last synced: 11 Apr 2026
https://github.com/rishraks/color-object-detection
This project enables real-time detection of user-defined color objects using a webcam. Users enter a color name, and the program identifies objects matching that color by converting it to its HSV range, applying a mask, and detecting contours. It's a practical tool for object tracking, sorting, and interactive applications.
computer-vision numpy opencv pillow-library
Last synced: 11 Apr 2026
https://github.com/martincastroalvarez/python-deep-learning-algorithms
Combinatorics implemented with numpy, matplotlib and scipy.
algebra combinatorics matplotlib numpy python scipy
Last synced: 13 Apr 2026
https://github.com/mchenryspagg/prosper-loan-project
A data analysis project that entails using the data from a fictional loan company known as Prosper to perform exploratory data analysis using univariate, bivariate and multivariate visualizations to produce insights that answers questions asked from the data
datastorytelling exploratory-data-analysis exploratory-data-visualizations jupyter-notebook matplotlib-pyplot numpy pandas python seaborn-plots
Last synced: 13 Apr 2026
https://github.com/imswappy/ads-eda-predictor
Interactive Streamlit app for marketing campaign analytics and prediction. Includes dashboards, EDA, econometrics tests (ADF, cointegration, OLS diagnostics), ML pipelines with preprocessing, CV, and persistence. Predict outcomes with Linear/Ridge/Lasso/Random Forest regressors.
adf breusch-pagan cointegration lasso-regression linear-regression matplotlib-pyplot numpy pandas random-forest ridge-regression seaborn sklearn
Last synced: 02 May 2026
https://github.com/subhash3/neural_net_using_numpy
Feed Forward Neural Networks using Numpy
feedforward-neural-network from-scratch neural-network nicenet numpy python3
Last synced: 14 Apr 2025
https://github.com/suraj-sedai/lstm-deep-learning
A step-by-step guide to mastering sequence prediction using TensorFlow and LSTM. This repository covers everything from basic linear predictions to advanced multi-step forecasting, many-to-many LSTM models, and real-world applications like stock price forecasting and sales prediction.
lstm-neural-networks lstm-sentiment-analysis numpy pandas python sklearn tensorflow
Last synced: 11 Apr 2026
https://github.com/avs123a/image-color-spaces-morphology-demo
Simple demo that shows extracting RGB and HSV channels, converting from RGB to HSV and reverse converting. There are 4 main morphological operations used: erosion, diletion, opening and closing image
demo image-processing jupyter-notebook numpy opencv python3
Last synced: 05 May 2026
https://github.com/hossein-cod/deep-learning-for-training
Analysi hear disease data set with deep learning
accuracy chart jupyter keras matplotlib numpy pandas py python sklearn tensorflow
Last synced: 09 Mar 2026
https://github.com/avijit-jana/used-car-price-prediction
A Streamlit-based application utilizing machine learning to predict used car prices based on features like make, model, year, fuel type, and transmission, enhancing customer experience and streamlining the pricing process.
carpriceprediction data-science jupyter-notebooks machine-learning numpy pandas pickle pricing-data-science python3 streamlit streamlit-webapp webapplication
Last synced: 11 Apr 2026
https://github.com/soumya6tiwari/customer-segmentation-using-rfm-analysis
This project focuses on customer segmentation using RFM (Recency, Frequency, Monetary) analysis and K-Means clustering. It enables businesses to identify high-value customers, optimize marketing strategies, and improve customer retention through data-driven insights.
backend clustering flask frontend kmeans-clustering matplotlib numpy pandas python rfm-analysis scikit-learn unsupervised-learning
Last synced: 16 Feb 2026
https://github.com/mahboobehad/ocausal
Outlier Causal Relations
causality-analysis datamining networkx notebook numpy outlier-detection python
Last synced: 14 Apr 2026
https://github.com/gauravsakure02/python_libraries
Data Analysis using Python libraries
matplotlib numpy pandas-library streamlit
Last synced: 14 Apr 2026
https://github.com/williyam-m/movie-recommendation-system
Developed a web app with a cosine similarity machine learning model for personalized recommendations based on user history, likes, bookmarks, and activity. Implemented user auth and CRUD operations for movies.
django machine-learning numpy pandas prediction-model python scikit-learn
Last synced: 10 Apr 2026
https://github.com/sushmitha-93/cmpe275---machine-learning-assigments-and-labs
Machine Learning Course Topic wise Assignments and Projects
artficial-neural-network classification-algorithm clustering-algorithm convolutional-neural-networks machine-learning natural-language-processing numpy pandas plotly python regression-algorithms regularization-methods sentiment-analysis sklearn tensorflow time-series-analysis
Last synced: 11 Apr 2026
https://github.com/arjunan-k/netflix_analysis
Exploratory Data Analysis on Netflix Movies & TV Shows.
matplotlib numpy pandas plotly seaborn
Last synced: 09 May 2026
https://github.com/zensam7/easy_my_ai
Библиотека для создания ИИ, написана ПОЛНОСТЬЮ с нуля
genetic-algorithm library machine-learning neural-networks numpy q-learning
Last synced: 14 Feb 2026
https://github.com/abhinavsharma07/neural-network-using_numpy
Introduction to Neural Networks (Create a neural network using Numpy)
accuracy feed-forward model neural-networks numpy prediction
Last synced: 18 Jan 2026
https://github.com/rahulvictor12/the-movie-database-data-scrapper
A Python web scraper that collects movie data from The Movie Database (TMDB). It uses `requests`, `BeautifulSoup`, and `pandas` to extract titles, ratings, genres, and cast details from multiple pages. The data is structured into DataFrames and saved as a CSV, perfect for analysis or integration into projects.
beautifulsoup colab-notebook dataframes numpy pandas python requests testing webscraping
Last synced: 11 Apr 2026
https://github.com/burakkagann/pixels2genai-2.0
Free, open-source curriculum teaching generative art and AI across 15 modules, from a single pixel to diffusion models.
computer-vision creative-coding curriculum deep-learning design-based-research diffusion-models education gans generative-ai generative-art machine-learning numpy pytorch touchdesigner vae
Last synced: 19 Jun 2026
https://github.com/carlthome/ipytoolbox
A collection of IPython magics and other utilities
ipython jupyter matplotlib numpy
Last synced: 18 Jan 2026
https://github.com/savernish/forgenn
forgeNN is a in-development purpose‑built neural network framework combining a transparent NumPy autograd engine with a Keras‑like API and performance oriented primitives. Developed by a college student with an ambitious feature pipeline.
artificial-intelligence deep-learning keras machine-learning mlp-networks neural-network numpy pytorch tensorflow tensors
Last synced: 08 Oct 2025
https://github.com/tasninanika/mammographic-masses-analysis-dt
This project uses a Decision Tree Classifier to predict whether a detected mammographic mass is benign (0) or malignant (1) based on input features.
decision-tree-classifier numpy pandas pyhton3 scikit-learn
Last synced: 11 Apr 2026
https://github.com/kshitijshrivastava1903/neural_network_analysis_on_lending_club-dataset
Used tensorflow's neural network model to predict whether or not a person pays back a loan on the basis of his historical data and personal details of 3.9 lakh people like interest rate, employment details, address, etc.
deep-learning dropout-keras earlystopping keras-tensorflow matplotlib-pyplot neural-networks numpy pandas seaborn tensorflow-models
Last synced: 18 Feb 2026
https://github.com/xushiyan/udacity-machine-learning
Content for Udacity's Machine Learning curriculum
jupyter-notebook machine-learning numpy pandas python reinforcement-learning scikit-learn supervised-learning udacity-machine-learning unsupervised-learning
Last synced: 13 Apr 2026
https://github.com/5hraddha/sentiment-analysis
An innovative system for filtering and categorizing movie reviews
countvectorizer dummyclassifier lgbmclassifier logisticregression matplotlib minmaxscaler nltk nltk-stopwords nltk-tokenizer numpy pandas seaborn spacy tfidfvectorizer torch tqdm transformers
Last synced: 18 Jan 2026
https://github.com/rish-16/linearly
Discount NumPu implementation using barebones Linear Algebra concepts
Last synced: 19 May 2026
https://github.com/sahil210695/tensorflow-model-deploy
Example how to deploy your TensorFlow model in production using the Tensorflow-serving
deployment docker docker-image linear-regression machine-learning numpy prediction python savedmodel tensorflow tensorflow-examples tensorflow-experiments tensorflow-graph tensorflow-model tensorflow-models tensorflow-serving tensorflow-tutorials
Last synced: 21 Jan 2026
https://github.com/lostvikx/fintech-pg
Files related to my FinTech course
analytics data-analysis data-science data-visualization finance fundamental-analysis numpy pandas python technical-analysis
Last synced: 14 Apr 2026
https://github.com/localhostpib/pythonplayground
Playground of destruction :-D
bootstrap designpatterns docker flask html jupyter-notebook matplotlib numpy office365 pandas plone5 plotly pygal python rest-api schedule seaborn sharepoint tal totp
Last synced: 10 Apr 2026
https://github.com/harmanveer-2546/diabetes-prediction-using-machine-learning
Diabetes is a medical disorder that affects how the body uses food for energy. When blood sugar levels rise, the pancreas releases insulin. If diabetes is not managed, blood sugar levels can rise, increasing the risk of heart attack and stroke. We used Python machine learning to forecast diabetes.
adaboost decision-trees gradient-boosting-classifier gridsearchcv knn-classification machine-learning numpy os pandas pickle python random-forest seaborn svc-model
Last synced: 14 Apr 2026
https://github.com/jayanthsd2003/ams-attendance_management_system
Project based on AMS-Attendance Management System
anaconda-navigator anaconda3 datetime face-recognition glob haarcascade-frontalface numpy opencv os pandas python python3 text-to-speech tkinter visual-studio-code
Last synced: 11 Apr 2026
https://github.com/coqui123/tradegpt
TradeGPT is a full-stack cryptocurrency trading application that combines a modern Fresh (Deno) frontend with a Python (FASTAPI) backend for Coinbase integration and Azure AI Services for intelligent trading analysis. 💹
analytics automation cryptocurrency data deno fastapi fresh numpy python trading-algorithms trading-strategies tradingbot typescript
Last synced: 11 Apr 2026
https://github.com/smusab9152/pokemon_data_analysis
This repo that explores and analyzes a dataset of Pokémon attributes. The analysis includes data cleaning, exploratory data analysis (EDA), and visualizations .
analytics data-analysis data-visualization exploratory-data-analysis jupyter-notebook matplotlib numpy pandas pokemon python seaborn statistical-analysis
Last synced: 02 May 2026
https://github.com/briankopp/fewerbytes
compress numpy arrays. binary and numeric techniques for numpy compression
compress compression numpy python python3 storage
Last synced: 18 May 2026
https://github.com/ryantusi/ai_ml_fundamentals
Welcome to my GitHub repository showcasing projects completed during the AI/ML Foundation course from Codecademy. This repository contains a collection of projects that demonstrate my skills and knowledge in the field of artificial intelligence and machine learning.
artificial-intelligence data-science data-visualization exploratory-data-analysis foundation machine-learning numpy pandas python
Last synced: 14 Apr 2026
https://github.com/cyberoctane29/unicorn-companies-analysis
This project explores unicorn companies, private startups valued at over $1 billion, using Python for data analysis. It covers industry trends, geographic distribution, and investment patterns through EDA, including data cleaning, handling missing values, datetime transformations, and visualizations to uncover key insights.
data-analysis eda numpy pandas python
Last synced: 02 May 2026
https://github.com/gandhasiri-rahul-mohan/association-rules-q1-books
Prepare rules for the all the data sets 1) Try different values of support and confidence. Observe the change in number of rules for different support,confidence values 2) Change the minimum length in apriori algorithm 3) Visulize the obtained rules using different plots
apriori-algorithm association-rules data-science machine-learning numpy pandas python unsupervised-machine-learning
Last synced: 04 May 2026
https://github.com/rahatmoktadir03/market-anomaly-detection
This AI-engineering project involves building a machine learning model to classify financial market conditions and detect potential market crashes. It includes developing investment strategies based on the model’s predictions and designing an AI-driven bot to explain the results to end users.
ai anomaly-detection financial-analysis investment-strategies machine-learning numpy pandas python sklearn
Last synced: 09 Feb 2026
https://github.com/shanmukhsrisaivedullapalli/smsspamclassification
SMSSpamClassification is a machine learning project aimed at accurately classifying SMS messages as either spam or ham (non-spam). It employs natural language processing techniques to extract relevant features from the text data and utilizes various classification algorithms to build a robust spam detection model.
jupyter-notebook numpy pandas pickle python3 sklearn spam-classification spam-detection
Last synced: 11 Apr 2026
https://github.com/sergio11/breast_cancer_diagnosis_mlp
🩺🔬 MLP-based Breast Cancer Diagnosis: Predicts tumor malignancy from image features, aiding in early detection. 📊🤖
deep-learning deep-neural-networks machine-learning mlp-classifier mlp-networks numpy sklearn sklearn-classify
Last synced: 21 Feb 2026
https://github.com/simran1002/strip-analyzer
The Strip Color Identification is used to analyze images of urine strips uploaded by users. Using computer vision techniques, particularly leveraging OpenCV, the interface identifies and extracts the colors present on the strip.
flask multer nodejs numpy opencv python reactjs
Last synced: 10 Apr 2026
https://github.com/richecr/projetocrowd4city
Repositório para desenvolver as atividades realizadas para o projeto do LSI - Crowd4City
bert-as-service bi-lstm gensim lda nltk-python numpy numpy-library pandas python sklearn spacy-nlp speech-recognition tf-idf topic-modeling twitter-api web-scraping xgboost youtube-dl
Last synced: 09 Apr 2026
https://github.com/mgobeaalcoba/survival_predictor_on_the_titanic_scikit_learn
Titanic Survival Predictor using Scikit-Learn: Machine learning model and analysis to predict passenger survival on the Titanic based on historical data.
matplotlib numpy pandas python3 scikit-learn seaborn titanic-dataset titanic-kaggle titanic-survival-prediction
Last synced: 10 Apr 2026
https://github.com/smallgig/pickomino
Reinforcement Learning Environment with Gymnasium API
api ci coverage-testing gymnasium mypy numpy pip pre-commit pycharm pygame pylint pyright pytest pytest-cov python reinforcement-learning-environments ruff toml xenon
Last synced: 19 Jan 2026
https://github.com/msthamizh/bizcardx-extracting-business-card-data-with-ocr
Developing a Streamlit application that enables users to upload business card images and extract key details using easyOCR. The app allows users to manage the extracted data (view, update, delete) and securely stores it in a MySQL database. It also highlights extracted text directly on the business card image using Pillow.
easyocr mysql numpy pandas pillow python regular-expression streamlit
Last synced: 10 Apr 2026
https://github.com/bursasha/deeplearningai-machine-learning-tensorflow-course
Projects and certificates from a machine learning course focused on TensorFlow and Keras, covering neural networks, CNNs, NLP, and time series analysis 🧠
convolutional-neural-networks deeplearning-ai keras machine-learning mlcourse natural-language-processing neural-networks numpy pandas python-machine-learning recurrent-neural-networks tensorflow
Last synced: 10 Apr 2026
https://github.com/garcane/income-prediction-ml
This is a machine learning project aimed at predicting whether an individual's annual income exceeds $50,000 based on their demographic and personal information.
data data-science machine-learning ml numpy pandas python random-forest scikit-learn
Last synced: 08 Apr 2026
https://github.com/ashishpatel8736/soq-solver-cramer
This project is a System of Equations Solver built using Cramer's Rule in Python with Streamlit. It allows users to input and solve systems of linear equations in real-time by visualizing them as matrices and generating solutions for variables 𝑥 , 𝑦 , 𝑧, etc.
Last synced: 14 Apr 2026
https://github.com/lakhidaksh-01/carinsightanalyzer
Interactive Car Ratings & Insights
cars matplotlib numpy pandas python seaborn streamlit
Last synced: 10 Apr 2026
https://github.com/omerkel/fractals
Rendering Fractals like Hilbert curves, Julia sets and Mandelbrot sets in various techniques.
fractals glsl-shaders hilbert-curve julia-sets jupyter-notebook mandelbrot-sets matplotlib numpy webgl-shader
Last synced: 13 May 2026
https://github.com/faisal-khann/diwali-sales-analysis
The "Diwali Sales Analysis" project aims to analyze the sales data during the Diwali festival period to uncover insights and trends that can help improve marketing strategies and sales performance in the future
csv data-analysis eda jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 11 Apr 2026
https://github.com/harmanveer-2546/heart-failure-prediction
Heart failure is a severe condition in which the heart is unable to pump blood effectively. Early prediction of heart failure can significantly improve patient outcomes. This project aims to build a predictive model using machine learning techniques to identify patients at risk of heart failure.
exploratory-data-analysis feature-engineering jupyter-notebook matplotlib model-training-and-evaluation numpy pandas python sckiit-learn seaborn visualization-of-results
Last synced: 14 Apr 2026
https://github.com/shreeparab1890/movie-recommender-system
This notebook is trying to build a model which will recommend the movie based on given movie and genre. In this we use Popularity Based Recommendation, Content Based Recommendation and Collaborative Filtering based Recommendation.
bag-of-words cosine-similarity matplotlib numpy pandas python scikit-learn sklearn vectorization
Last synced: 09 Apr 2026
https://github.com/mohamed3nan/udacity
Udacity Data Analysis Nanodegree Program
data-analysis data-visualization numpy pandas python
Last synced: 10 Apr 2026
https://github.com/avinesh-masih/employee-report-generator
A Python-based tool that reads employee and purchase data from Excel, generates personalized PDF reports using FPDF, and organizes them into folders. Includes a progress bar for tracking report generation.
excel flask fpdf matplotlib numpy pandas python seaborn
Last synced: 03 May 2026
https://github.com/kavithma-thushal/machine-learning-room-gdse66
Welcome to the Machine Learning Room GDSE66 project! This resource is dedicated to exploring machine learning concepts, where we build and experiment with various models to solve real-world problems.
docker flask jinja2 jupyter-notebook numpy pandas python
Last synced: 14 Apr 2026
https://github.com/vochicong/ai-memo
Notebooks about machine learning (AI) math and tools
azure-notebooks colaboratory machine-learning math numpy
Last synced: 24 Feb 2026
https://github.com/sahajrajmalla/co2-calculator-api
A Web Application backend API that enables people to create events, join events, and measure the carbon footprint produced by each participant to get insights about online and onsite carbon emissions.
apis carbon-emissions carbon-footprint fastapi makefile numpy pandas precommit sqlalchemy sqlite3 uvicorn
Last synced: 09 Apr 2026
https://github.com/MahiPonii/Hyperion_Sort
lz4 numba numpy pandas-python python python3 scipy sorting-algorithms tensorflow
Last synced: 15 Oct 2025
https://github.com/varshan1123/football-analysis
Designed a soccer analytics system using YOLOv11 for player and ball tracking, with team classification and real-world movement analysis, enabling precise speed and distance assessments. Integrated automated reporting to enhance data-driven decisions for coaches and analysts.
gemini-api kmeans-clustering numpy opencv ultralytics yolov11
Last synced: 02 May 2026
https://github.com/octcarp-courses/sustech_cs303-ai_f23_works
(49.8/50) Course code of CS303 2023 Fall: Artificial Intelligence, SUSTech. Taught by Prof. Ke TANG.
Last synced: 08 May 2026
https://github.com/lolosoares/dataanalises
This repository shows my projects made in my journey learning about data analises, ciency, engeniering and ML.
acces data-science dax excel mysql numpy pandas powerbi powerquery python r seaborn sql vba
Last synced: 10 Apr 2026
https://github.com/mark0011astra/simplecuda
CUDAを使用したGPU演算をNumPyと同様のインターフェースで簡単行えるライブラリ。A library that allows users to easily perform GPU operations using CUDA with a NumPy-like interface.
cuda cupy gpu machine-learning numpy python vector
Last synced: 02 May 2026
https://github.com/akash-rajak/large-image-preview
Python Script to view large image using scroll bars.
cv2 large-image large-image-preview numpy python3 tkinter
Last synced: 04 May 2026
https://github.com/codeasarjun/_easy_machine_learning
This repo contains a comprehensive tutorial on machine learning with practical implementations and examples using Python.
artificial-intelligence clustering deep-learning jupyter-notebook machine-learning machine-learning-algorithms modelevaluation neural-network numpy pandas preprocessing python python3 regression scipy supervised-learning supervised-machine-learning unsupervised-learning unsupervised-machine-learning
Last synced: 13 Apr 2026
https://github.com/ishutak/disease_prediction
An AI-powered disease prediction system that uses machine learning to predict diseases based on symptoms. The system employs an ensemble of models including Random Forest and Neural Networks to provide accurate predictions with confidence levels.
css3 htlm5 javascript jquery numpy pandas pytorch scikit-learn select2
Last synced: 11 Apr 2026
https://github.com/ayaanjawaid/google_playstore_data_analysis
This project provides an in-depth analysis of Google Play Store apps and user reviews, focusing on understanding app performance, user sentiment, and key trends in app categories. Using Python, I performed data cleaning, feature engineering, and exploratory data analysis (EDA) on app data and reviews.
data-analysis eda html numpy pandas-dataframe plotly python vizualisation
Last synced: 24 Feb 2026
https://github.com/yashika-malhotra/micromobility-service-provider---hypothesis-testing
Examined factors influencing demand for micro-mobility shared electric cycles Performed exploratory analysis and hypothesis testing, revealing the distinct influence of weather-season association on hourly counts
colab-notebook data-visualization eda exploratory-data-analysis hypothesis-testing jupyter-notebook matplotlib matplotlib-pyplot numpy pandas python scipy-library scipy-stats seaborn skit-learn
Last synced: 12 Apr 2026
