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/gustavoaca1997/placa-orificio-velocidad
script en python3 para obtener la velocidad de una placa orificio mediante tanteos
chemistry numerical-calculations numerical-methods numpy python
Last synced: 01 May 2026
https://github.com/pakagronglb/istanbul-restaurant-tips-prediction
This project focuses on predicting restaurant tips in Istanbul using machine learning techniques, specifically Linear Regression. The analysis includes data preprocessing, exploratory data analysis (EDA), model training, and evaluation.
kaggle matplotlib numpy pandas prediction python scikit-learn seaborn
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https://github.com/bearddan2000/python-web-3d-matplotlib-vertical-bar-graph
A demo of creating a 3d vertical bar graph.
3d bar graph matplotlib numpy pandas python vertical web
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https://github.com/bilalm04/autonomous-lane-detection
An autonomous lane detection system leveraging OpenCV to process images and videos, accurately identifying lanes and providing key visualizations.
artificial-intelligence computer-vision lane-detection machine-learning matplotlib numpy opencv python
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https://github.com/rudrodip/timmygrad
scalar value gradient descent optimizer
backpropagation gradient-descent multilayer-perceptron-network neural-network numpy python3 pytorch
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https://github.com/lorenzorottigni/ml-titanic
Machine Learning python bootcamp: logistic regression on titanic dataset
ipynb logistic-regression machine-learning numpy pandas python scikit-learn seaborn
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https://github.com/sanjanahombal/sentiment-analysis-using-neural-networks
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convolutional-neural-networks countvectorizer deep-learning keras matplotlib neural-network numpy python tensorflow tfidf-vectorizer
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https://github.com/iamkushvanth/marketing-campaign-analysis
Data analysis comparing the performance of Facebook and AdWords ad campaigns in 2019, Using Statical Methods such as A/B test focusing on clicks, conversions, cost-effectiveness, and seasonal trends.
ab-testing hypothesis-testing linear-regression matplotlib-pyplot numpy pandas python regression-analysis scikit-learn scipy stastistics
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A Python & XML database application for a book collection.
database matplotlib numpy pandas pandas-dataframe python xml
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https://github.com/bhiogade/hpi-analysis
House price index (HPI) Analysis
data-analysis data-cleaning data-visualization gathering-data numpy pandas-python
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https://github.com/webintellectual/coloured-image-to-b-w-converter-web-app
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numpy opencv pil pillow python3 streamlit streamlit-webapp
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ππ° Investment propensity prediction model
catboost hackathon-project jupyter lightgbm numpy optuna pandas python scikit-learn
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https://github.com/winterwind/housingpricesproject
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csv csv-files data-science decision-tree gradient-descent jupyter jupyter-notebook knearest-neighbors knn linear-regression linear-regression-scratch machine-learning matplotlib matplotlib-pyplot numpy pandas python random-forest regression sklearn
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DAB Radio Data Analysis Application
matplotlib numpy oop-principles pandas-dataframe postgresql psycopg2 python-3 regex-pattern seaborn threading tkinter-gui
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jupyter-notebook librosa linux matplotlib numpy python raspberry-pi
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https://github.com/shreeparab1890/chat-analyzer
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data-analysis numpy pandas python
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https://github.com/raduldev/ml-projects
End To End Machine Learning Project guided by Krish Naik from Ineuron.
catboost dill flask-application numpy pandas python scikit-learn xgboost
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https://github.com/RedInfinityPro/AI_projects
Rating (7/10) The code is a chatbot that interacts with users based on article content. However, issues include incorrect sorting, typos, incorrect indentation, and lack of explanations for each part, potentially affecting the bot's robustness and understanding of context.
newspaper nltk numpy python random sklearn string warnings
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dokcerfile flask githubactions machine-learning matplotlib mlops numpy pandas python seaborn
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https://github.com/ailsonguedes/iris-flower-ml-project
Machine learning model using logistic regression to classify the Iris-Flower of dataset.
classification data-science dataset ia iris-classification iris-dataset jupyter-notebook logistic-regression machine-learning numpy pandas python sklearn
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Linear Regression concepts and intuitions presented using Jupyter Notebooks
from-scratch linear-regression numpy python
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https://github.com/alphan26/humidityregressor
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https://github.com/kareem74x/data-mining-uni-project
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Some solutions for leetcode problems that I found fun - either the algorithm or using numpy bruteforce where it shouldn't be
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etl matplotlib numpy pandas powerbi python seaborn
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https://github.com/mnitin-reddy/summer-olympics-data-analysis-web-app
An interactive web app for exploring trends in Olympic Games history, analyzing overall medal tallies, country-wise performance, and athlete demographics. Built with Python and Streamlit, this app offers insights through visualizations and data-driven statistics.
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Soiligator is an advanced machine learning project designed to optimize irrigation management by predicting whether irrigation is necessary based on environmental and soil-related data.
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Shock tube experiment planning and data analysis package.
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Life_Expectancy_Predication
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Serviceability assessment as per BS 6472 for human exposure to vibration in buildings Vibration sources other than blasting
matplotlib numpy pydantic scipy
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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.
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This Series contains Data Analysis projects performed on different Kaggle datasets and providing valuable insights into the data by making use of Python libraries.
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This project is a machine learning-based review classification system that predicts whether a product review is GENUINE or FAKE. It preprocesses review text, analyzes sentiment, and uses numerical features like ratings and helpfulness to make predictions. The model is deployed via a Flask web application for user interaction.
classification flask logistic-regression machine-learning numpy pandas python renderdeploy scikit-learn sentiment-analysis
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https://github.com/ahmedabdalkreem/animals_classification
This project is dependent to make classification between faces of cats, dogs and wild_animals and use multiple model such as CNN and pretrained model like ResNet and MobileNet and show the result of all model in the image using heatmap to know what is the part that model take decision when see it.
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https://github.com/m-rishab/job-recruitment-prediction-and-hr-dashboard-using-plotly
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This project is aimed at predicting the likelihood of coronary heart disease (CHD) in individuals over the next ten years using Logistic Regression.
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https://github.com/gregoritsch3/exercise_pandas_1
A Pandas exercise demonstrating the loading, cleaning and reorganization of data in .xlsx or .csv files, descriptive statistics, data visualization, statistical approximation of data with the normal distribution, etc.). Libraries include Pandas, NumPy, Scipy, SymPy, MatplotLib,
data-cleaning data-visualization descriptive-statistics matplotlib numpy pandas scipy sympy
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https://github.com/raghavendra317/brain-tumor-detection
A deep learning-based project for classifying brain MRI images into Glioma, Meningioma, No Tumor, and Pituitary Tumor using Convolutional Neural Networks (CNNs). This project aims to assist in early tumor detection, improving diagnostic accuracy and healthcare outcomes.
cnn-classification keras numpy opencv scikit-learn tensorflow
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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
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neural-network neural-network-example numpy python python-3
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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/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.
jupyter-notebook matplotlib numpy python tensorflow
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https://github.com/marcelovilla/fire-congress-2019-tdf-talk
This repository contains the code used for the project presented in the "Fire activity on the Colombian Tropical Dry Forest: an environmental and social perspective" talk during the 8th International Fire Ecology and Management Congress.
earth-observation ecology fire-activity gdal latex matplotlib modis numpy pandas python remote-sensing requests seaborn tikz trmm xarray
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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/nidomika/digit-recognition
Digit recognition project in Python
digit-recognition numpy opencv python tensorflow
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https://github.com/dahsie/machine_learning_from_scratch
This project aims to implement some machine learning basic techniques(e.g. MinMaxScaler, StandardScaler, TD-IDF, PCA, Logistic Regression, LDA, KNN, Naive Bayes Classifier) using only pyton, numpy and pandas. This will enable me to have hone my data scientist skills
classification clustering data data-processing datascience machienlearning nlp nltk numpy pandas python regression
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https://github.com/francislauriano/chatsoftex
Plataforma desenvolvida em Python que visa automatizar e agilizar o processo de avaliaΓ§Γ£o de projetos de inovaΓ§Γ£o tecnolΓ³gica, utilizando inteligΓͺncia artificial e critΓ©rios 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
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https://github.com/elifftosunn/data-labeling
Bu araΓ§ veri kazΔ±ma aΕamasΔ±ndan sonra verilerin istenilen kategoriye gΓΆre etiketlenmesi ve kullanΔ±lmayacak olan verilerin database'ten silinmesi ile makine ΓΆΔrenmesi modellerini kullanmak iΓ§in etiketleme adΔ±mΔ±nΔ±nΔ± otomatikleΕtirmek amaΓ§lΔ± yapΔ±lmΔ±ΕtΔ±r.
base64 kaleido numpy os pandas plotly postgresql psycopg2 psycopg2-binary time
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https://github.com/manoj-kumar-c/data_analyst_projects
Live Data Analyst Projects.
Last synced: 07 Feb 2026
https://github.com/dylan-stewart/marvel-mysql-project
Project for Data Science
data-science iris-dataset marvel mysql network-x numpy pandas python
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Q11) Suppose we want to estimate the average weight of an adult male in Mexico. We draw a random sample of 2,000 men from a population of 3,000,000 men and weigh them. We find that the average person in our sample weighs 200 pounds, and the standard deviation of the sample is 30 pounds. Calculate 94%,98%,96% confidence interval?
confidence-interval normalization numpy pandas python scipy stats
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https://github.com/bachboy0/montecarlo
Python-based Monte Carlo simulations for statistical analysis and modeling.
monte-carlo-methods numpy python
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https://github.com/alphacrypto246/stock-price-movement-prediction
A project leveraging Polynomial Regression to predict stock price movements based on historical data. Includes data preprocessing, feature engineering, visualization, and model evaluation to provide insights for informed trading decisions.
machine-learning numpy pandas polynomial-regression scikit-learn yfinance
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https://github.com/ellennewerkla/apriori-analise_cesta_de_mercado
AnΓ‘lise de Cesta de Mercado (Market Basket Analysis) utilizando o algoritmo Apriori para identificar regras de associaΓ§Γ£o entre produtos em um conjunto de transaΓ§Γ΅es de supermercado.
apriori-algorithm jupyternotebook marketbasketanalysis mathplotlib mba numpy pandas python3
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https://github.com/preethiphilip/prosper-loan-data-analysis
This project explores the Prosper loan dataset to uncover trends, borrower behaviors, and factors influencing loan performance. Using Python and data visualization techniques, the analysis examines key variables such as credit scores, loan status, income ranges, and debt-to-income ratios to gain insights into credit risk and lending patterns.
jupyter-notebook matplotlib numpy pandas python3 seaborn
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https://github.com/ananyajain2004/fake-news-detection
A python project for detecting fake news using machine learning algorithms.
decision-tree-classifier gradient-boosting-classifier logistic-regression machine-learning numpy pandas python3 random-forest-classifier testing
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https://github.com/allanotieno254/pinecone-index-creation-vector-store-database-
This project demonstrates how to create an index in Pinecone, a vector database optimized for similarity search and machine learning applications. The notebook covers setting up a Pinecone client, creating an index, and managing vector data efficiently.
index jupyter-notebook numpy pinecone python
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https://github.com/vasu7052/recognizing-handwritten-digits
This is a machine learning project created in Python using Neural Networks and Supervised Learning Algorithms.
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https://github.com/mahdibehoftadeh/polynomial-regression-co2-emissions
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machine-learning matplotlib numpy nural-network pandas polynomial-regression python scikit-learn
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https://github.com/debjyotisaha/web-application-projects
Web Applications developed with the help Python libraries and ML algorithms
algorithms cufflinks machine-learning matplotlib numpy pandas prediction python scikit-learn seaborn sklearn streamlit
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https://github.com/prateekrajsrivastav/financial-transition-classification
This project focuses on classifying financial transactions using machine learning techniques. By leveraging labeled data, the model aims to categorize transactions into predefined categories (e.g., "Food," "Transport," "Shopping," etc.).
matplotlib numpy pandas-python scikitlearn-machine-learning seaborn
Last synced: 07 Sep 2025
https://github.com/georgehanymilad/diabetes-detection
Machine Learning Project
anaconda classification classification-algorithm data-science dataanalysis kaggle machine-learning machine-learning-algorithms matplotlib numpy pandas python python3 seaborn
Last synced: 13 Apr 2026
https://github.com/bbhargavpanchal/brain-tumor-segmentation-unet
U-Net based Convolutional Neural Network for brain tumor segmentation using MRI images. Implemented in Python with TensorFlow, OpenCV, and Scikit-learn.
keras-tensorflow numpy opencv pandas python scikit-learn sklearn tensorflow
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https://github.com/oleksiilatypov/titanic_ml
Titanic Survival Prediction using ML and Flask Deployment.
data-science docker flask machine-learning numpy pandas skit-learn
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https://github.com/ksprugevics/magic-square
Some simple algorithm implementations for solving (ordinary) magic squares using NumPy
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https://github.com/armahdavi/data_analytics_statistics_plotting_pm_airborne_sampling
All codes for the data pipelines processing, statistical modellings, descriptive statistics and plot visualizations from airborne phase of Mahdavi et al. (2021) (Environmental Pollution) Project Miestone: 2018 - 2021
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Last synced: 13 Apr 2026
https://github.com/anarya22/accenture-north-america-data-analytics-and-visualization-job-simulation-on-forage
Completed a simulation focused on advising a hypothetical social media client as a Data Analyst at Accenture. Cleaned, modelled and analyzed 7 datasets to uncover insights into content trends to inform strategic decisions. Prepared a PowerPoint deck and video presentation to communicate key insights for the client and internal stakeholders.
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https://github.com/abideen-olawuwo/frauddetection
A credit card Fraud Detection Model
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https://github.com/eesunmoon/aml_project
[Project] Analyzing Fitness Patterns & Building Predictive Models
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https://github.com/evan-dg31/data-science
Exploratory Data Analysis (EDA), Predictive Modeling (Supervised and Unsupervised), Regression, Classification, Clustering
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https://github.com/danaelshrbiny10/gold-prices
The Egypt Gold Prices project is a data analysis and visualization initiative that focuses on tracking and understanding the daily gold prices in Egyptian pounds per gram.
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https://github.com/kizman-23/supervised_models
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https://github.com/venkat-0706/accenture-hackathon
Developing an e-commerce recommendation system involves utilizing technologies such as Python for programming, Pandas for data manipulation, SQL for database management, FastAPI for building APIs, PostgreSQL for data storage, and Docker for containerization.
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https://github.com/badranalyst/tips-dataset-analysis-dashboard-with-streamlit-and-plotly
Interactive Streamlit dashboard analyzing the Seaborn 'tips' dataset, which records information on restaurant bills, including total bill amounts, tips, customer demographics (e.g., gender, smoking status), and dining details (e.g., day, time). Visualized with Plotly for insights into tipping patterns.
data-analysis data-analytics data-visualization dataset eda exploratory-data-analysis matplotlib matplotlib-pyplot numpy pandas plotly python seaborn streamlit
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https://github.com/anujdutt9/language-model-using-rnn
Text Generation using basic RNN from scratch using Python and Numpy.
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Twitter is one of the most used data sources for data analysis. The reason is that itβs open and free to collect unless you subscribe to the paid version one. Besides, itβs pretty simple to collect data from it.
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Updated test score data and school district analysis using Python.
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Automatic Speech Recognition (ASR) system for Russian digits
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AnΓ‘lisis y trabajos en Python con BBDD deportivas
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Last synced: 05 May 2026
https://github.com/nur-alam39/course-lab-experiments
The lab works: Code of academic courses-Digital Image Processing, Microprocessor, OOP, Numerical Analysis
cpp lab lex matplotlib numpy oop opencv python
Last synced: 13 Apr 2026
https://github.com/absolutelysaurabh/machine-learning
My machine learning journey.
linear-regression machine-learning machine-learning-algorithms matplotlib numpy pandas seaborn
Last synced: 13 Apr 2026
https://github.com/ondiekelijah/shadowcoach-formtracker
A computer vision-based workout form tracking application that uses AI to monitor exercise form, count repetitions, and provide real-time feedback.
mediapipe-pose numpy opencv-python
Last synced: 09 Apr 2025