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/vbhvsingh0/deforestation_rainfall_correlation
The aim of this project is to check if there is any correlation of rainfall with deforestation in Pennsylvania state of USA.
correlation-analysis data-science matplotlib-pyplot numpy pandas python3
Last synced: 29 Apr 2026
https://github.com/vbhvsingh0/fraudulent_transactions
A few models were developed based on Decision trees and Logistic Regression to categorize fraudulent transactions
credit-card-fraud data-science logistic-regression machine-learning numpy numpy-python pandas pandas-python python3 random-forest-classifier
Last synced: 09 May 2026
https://github.com/isa1asn/mnist-neural-net
Applying neural networks on the MNIST dataset (from scratch & using tf)
from-scratch keras mnist-classification neural-networks numpy pandas relu-activation softmax tensorflow
Last synced: 12 Apr 2026
https://github.com/notshrirang/opennn
Neural Networks for humans. An implementation from scratch in Python using NumPy. Consists of Optimizers such as Adam, SGD, Adagrad, RMSProp, and activation functions ReLU, Softmax and Losses. All implemented from scratch.
deep-learning machine-learning neural-network numpy
Last synced: 27 Apr 2026
https://github.com/shivjotchoudhary/shivjot-core
High-performance Python utilities for AI/ML workflows, computer vision, and enhanced Pandas/NumPy data engineering.
computer-vision data-science machine-learning numpy pandas python
Last synced: 18 Apr 2026
https://github.com/technologicat/orderfix
Reorder solutions of parametric studies to make continuous curves
cython eigenvalues numpy postprocessing python python2 python27 python3 python34
Last synced: 25 Jan 2026
https://github.com/alexsolov28/vkrb
Выпускная квалификационная работа бакалавра «Система анализа алгоритмов машинного обучения для решения задач классификации с использованием Pandas»
jupyter-notebook matplotlib numpy pandas python scikitlearn seaborn streamlit
Last synced: 15 Feb 2026
https://github.com/harmanveer-2546/motor-vehicle-accidents-in-india
As per the report, a total of 4,61,312 road accidents have been reported by States and Union Territories (UTs) during the calendar year 2022, which claimed 1,68,491 lives and caused injuries to 4,43,366 persons.
accidents accidents-analysis darkgrid data-analysis eda exploratory-data-analysis indian-roads inline matplotlib motor-vehicles numpy pandas review seaborn visualization
Last synced: 19 Jan 2026
https://github.com/mituskillologies/aiml-dypiemr-sep24
Programs conducted at DYPIEMR, Pune in training on AIML during September 2024.
artificial-intelligence data-analysis data-science machine-learning matplotlib neural-network numpy pandas python3
Last synced: 05 Apr 2025
https://github.com/harmanveer-2546/guide-to-regularization
Regularization is a crucial technique in machine learning that helps to prevent overfitting. Overfitting occurs when a model becomes too complex and learns the training data so well that it fails to generalize to new, unseen data.
generalization inline l1 l2 matplotlib numpy overfitting overfitting-prevention overfitting-reduced pandas regularization regularization-methods regularization-techniques regularization-to-avoid-overfitting seaborn
Last synced: 05 Apr 2025
https://github.com/harmanveer-2546/ad-click-prediction-analysis-and-insights
To predict whether a user will click on ad or not.
ads analysis classification-report click insights linearregression matplotlib numpy onehotencoder pandas pipeline prediction preprocessing randomforestclassifier seaborn sklearn sklearn-compose sklearn-library sklearn-metrics standardscaler
Last synced: 27 Jan 2026
https://github.com/djdhairya/fish-species-detection-and-recognition
Dataset
deep-learning epoch heatmap mobilenetv2 numpy pandas relu sckiit-learn train-test-split
Last synced: 20 Jan 2026
https://github.com/rohansahu15/stackoverflow-hashtag-generator
ai machine-learning nlp numpy pandas
Last synced: 18 Jan 2026
https://github.com/chandkund/predicting-heart-disease
Welcome to the Heart Disease Prediction project! 🩺 This project focuses on developing a predictive model to assess heart disease risk based on health indicators like age, cholesterol levels, and blood pressure. By analyzing these features, we aim to create an effective tool for early diagnosis and heart disease prevention
machine-learning matplotlib numpy pandas python seaborn sklearn
Last synced: 18 Jan 2026
https://github.com/imdadmiran17/data_analysis_exercise
data-analysis numpy numpy-arrays numpy-exercises python3
Last synced: 17 May 2026
https://github.com/Mike014/SoundBot
This Repository will contain the prototype of a ChatBot created for the playback of audio, or everything related to audio in the world of video games and not.
chatbot dsp nlp nlp-library nlp-machine-learning numpy python scipy sound-processing
Last synced: 12 Sep 2025
https://github.com/aapo-kossi/christmas_tree_spectrogram
Colab notebook to generate a spectrogram visualization on a programmable led installation
colab-notebook numpy pandas python
Last synced: 07 Apr 2026
https://github.com/hanzopgp/tensorflowtest
Learning how to use jupyter notebook, tensorflow, numpy and other librairies for machine learning projects. Following Thibaut Neveu's tutorial.
artificial-intelligence convolutional-neural-networks deep-learning lstm-neural-networks machine-learning matplotlib multilayer-neural-networks numpy personal recurrent-neural-networks sklearn tensorflow
Last synced: 07 Apr 2026
https://github.com/hansalemaos/stridesduplicatefinder
Calculate overlapping values between two arrays and return the results as a DataFrame
duplicates fast numexpr numpy strides
Last synced: 07 Mar 2026
https://github.com/subhamsarangi/visualize
Data Visualizations using Python
bokeh matplotlib numpy pandas pyplot python3 seaborn
Last synced: 07 Apr 2026
https://github.com/hbmartin/mathjs-to-func
Compile serialized math.js expression trees into fast, reusable Python callables. Optional parse extra.
ast compiler expression-evaluator expression-parser expressions formula formula-parser formulae mathjs numpy
Last synced: 17 May 2026
https://github.com/razvan48/digit-recognizer-in-python
A simple digit recognizer written using Python.
graphics knn knn-algorithm knn-classification machine-learning machine-learning-algorithms numpy pygame python
Last synced: 17 May 2026
https://github.com/jose-zothner-meyer/finance-individual-loans
A comprehensive analysis of a financial institution's loan portfolio using Python, focusing on data preprocessing, exploratory data analysis (EDA), and feature engineering.
credit data-science data-visualization eda exploratory-data-analysis finance jupyter-notebook matplotlib numpy pandas plotly python scipy seaborn
Last synced: 09 Apr 2026
https://github.com/orthoin3d/django-ndarrayfield
New Django field to store numpy ndarray.
django django-fields numpy numpy-arrays
Last synced: 07 Mar 2026
https://github.com/hi-shekhar/data_science
Data science
algorithm-comparison decision-trees keras kmeans linear-regression logistic-regression numpy pandas python sentiment-analysis svm time-series visualization webcrawler
Last synced: 05 Apr 2026
https://github.com/zohaib-cheema/defacto
DeFacto is a machine learning-based tool that classifies fake news articles using a hybrid model built with Scikit-learn, TensorFlow, and Keras. The system analyzes social and political content to detect deception in news stories and social media posts, providing a reliable solution to address the growing issue of misinformation.
flask git keras numpy pandas r scikit-learn tensorflow
Last synced: 07 Apr 2026
https://github.com/ediloaz/machine-learning-study-and-tests
Some codes for testing new features in Machine Learning while I'm studying and understand how to works it.
cv2 jupyter-notebook machine-learning numpy python pytorch tensorflow
Last synced: 08 Apr 2026
https://github.com/bbergerud/tenops
Creating a common interface for numpy, pytorch, tensorflow, etc.
Last synced: 20 Jan 2026
https://github.com/magzybog12/real-time-object-distance-measurement-using-opencv-python
Using an A4 paper as a guide, performing the distance measurements to find the height and width of objects placed in the region
numpy opencv-python pycharm-ide
Last synced: 05 May 2026
https://github.com/elmezianech/email-spam-ham-classifier-nb-simple
Count Vectorizer Naive Bayes Email Classifier: This Python project utilizes a simple Naive Bayes approach with Count Vectorizer to classify emails as spam or ham. The implementation focuses on word frequency for classification.
countvectorizer emails jupyter-notebook machine-learning ml naive-bayes naive-bayes-classifier numpy pandas python spam-detection spam-filtering
Last synced: 07 Apr 2026
https://github.com/ramyacp14/global-warming-analysis
Analyzes and visualizes global temperature data to identify climate change trends. The project includes global and seasonal temperature trend analysis, country-wise and city-specific temperature visualizations, and geospatial analysis with interactive maps and heatmaps.
data-visualization folium geospatial-analysis jupyter-notebook matplotlib numpy opencage-geocoder pandas plotly python seaborn
Last synced: 07 Apr 2026
https://github.com/krishbharadwaj5678/clearbg
Instantly remove backgrounds from any image with Clear BG. Upload your photos, remove the unwanted backdrop, and download the result in seconds.
background-remove background-remover deployment numpy onnxruntime pillow python python3 rembg streamlit
Last synced: 07 Apr 2026
https://github.com/zakircodearchitect/intent-classifiers-on-regression-models
This project compares five optimization algorithms (GD, SGD, Momentum, RMSProp, and Adam) on Univariate Linear Regression and a neural network for Intent Classification with the ATIS dataset. It evaluates convergence speed, stability, and final loss, showing that Adam delivers the best performance across both models.
atis-dataset intent-classification jupyter-notebook keras keras-neural-networks matplotlib numpy python regression-models tenserflow
Last synced: 02 May 2026
https://github.com/rajan-bhateja/data-analysis-with-python
Cleaning, analysis and visualization on various datasets using Python and its various libraries via Jupyter Notebook
data-cleaning data-science jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 30 Apr 2026
https://github.com/rachelnk/simple-machine-learning-model
A simple machine learning model built using scikit-learn library.
data-science linear-regression machine-learning-algorithms machine-learning-models matplotlib numpy pandas python random-forest random-forest-regressor scikit-learn
Last synced: 11 Apr 2026
https://github.com/supreme-gg-gg/beam-analysis
Fast, customisable, intuitive web application to simplify beam analysis. Certified by Bob the Builder.
civil-engineering matplotlib numpy python streamlit structural-analysis
Last synced: 11 Apr 2026
https://github.com/1adityakadam/uber_data_analytics
End to end Google Bigquery + Looker Studio Data Analytics Project Transforming NYC Taxi Data into Actionable Intelligence
bigquery looker-studio mage-ai-pipeline numpy pandas sql
Last synced: 13 Apr 2026
https://github.com/csengupta1101/netflix-rating
The project revolves around Netflix shows and movies around the world. The problem statement that is being tried to address here is that what kind of show to come up with in future times and how well that will fit with the audience
jupyter-notebook matplotlib movies netflix numpy pandas plotly python python3 rating tvseries
Last synced: 13 Apr 2026
https://github.com/arnauog/ironhack_data_analytics
Weekly labs to practice everything taught in class during the Data Analytics bootcamp of Ironhack in Barcelona of Sept 2024 - March 2025.
machine-learning mongodb mysql numpy pandas python seaborn tableau webscraping
Last synced: 11 Apr 2026
https://github.com/anuraganalog/navie-bayes
Implemented Gaussian Naive Bayes Classifier from scratch
bayes classifier dataset datasets gaussian guassian-naive-bayes iris multinomial-naive-bayes naive naive-bayes-classifiers numpy py scratch
Last synced: 19 Apr 2026
https://github.com/dmarks84/coursework_project_text-mining-spam-analysis
Project for University of Michigan Applied Data Science Specialization -- Performed NLP in order to build features of email messages; trained various classification models to help predict if a message was spam.
classification databases eda nlp numpy pandas python scikit seaborn sentiment-analysis statistics supervised-ml text-mining unsupervised-ml visualization
Last synced: 11 Apr 2026
https://github.com/mstrlc/iss-project
FIT VUT – ISS – signal processing - synthesizing and resynthesizing of a MIDI keyboard
fit iss matplotlib numpy python scipy signal-processing vut
Last synced: 11 Mar 2025
https://github.com/nicolascoiado/nivel-mar
Este projeto realiza uma análise detalhada do nível médio global do mar (GMSL), utilizando uma base de dados pública que abrange medições históricas. O objetivo é explorar tendências, calcular a taxa média de elevação e visualizar os dados por meio de gráficos.
google-colab jupyter-notebook matplotlib numpy pandas python python3 scikit-learn
Last synced: 11 Mar 2025
https://github.com/arrnikhilchauhan/book-recommendation
This Book Recommendation System is designed to provide personalized book suggestions based on user ratings and interaction. By leveraging the power of Pandas and NumPy, it filters and processes data efficiently, ensuring that recommendations are relevant and tailored to the user’s preferences
Last synced: 15 Apr 2026
https://github.com/jacekkala/statistics_hypothesis_testing
Statistics & Hypothesis Testing in Python
charts hypothesis-testing jupyter-notebook matplotlib numpy pandas python scipy-stats seaborn statistics
Last synced: 11 Feb 2026
https://github.com/naveen88112/final_education
Student Performance Prediction This project examines the student performance data, pre-processes the features, and implements machine learning methods (Random Forest) for the forecasting of final grades. The data is subjected to exploratory data analysis (EDA) and feature engineering prior to model training and assessment.
data-preprocessing exploratory-data-analysis machine-learning model-evaluation numpy pandas python
Last synced: 11 Apr 2026
https://github.com/ksalekk/mlp-nn
classification multilayer-perceptron neural-networks numpy python
Last synced: 24 Apr 2026
https://github.com/niel0503/probabilidade-e-amostragem
Desafio desarrollado para el bootcamp de WoMakersCode
estadistica matplotlib numpy pandas stats
Last synced: 18 Jan 2026
https://github.com/hitthecodelabs/weatherforecast-lstm
TensorFlow and Python for analyzing and forecasting weather data
cnn keras lstm matplotlib numpy pandas python tensorflow weather weather-forecast
Last synced: 11 Apr 2026
https://github.com/geetu040/fetcher
AI GAME: We have a random maze and 2 agents at random places. You control the Fetcher and find the way through the maze to get ot the target. You can automate the Fetcher to use trained models that help Fetcher fetch the target by itself. The models are based on deep neural networks, implemented by tensorflow and Keras API. The models are so efficiently trained, they find ways through the maze without hitting the walls and have an accuracy of more than 99%
artificial-intelligence css deep-learning html javascript jupyter-notebook machine-learning matplotlib neural-networks numpy python sklearn tensorflow web-design
Last synced: 13 Apr 2026
https://github.com/fabriziomusacchio/ann_with_numpy
A how-to for building an artificial neural network from scratch using NumPy
ann artificial-neural-networks neural-network numpy
Last synced: 08 May 2026
https://github.com/shreeparab1890/heart-attack-analysis-prediction-accuracy-85.24
This iPython Notebook implements the Analysis and Predictions for Heart Attack. The Analysis is done on the dataset to identify the key features which has a impact on Heart Attack. After the analysis and data cleaning, the dataset is used to train the model using different ML algorithm.
eda exploratory-data-analysis matplotlib numpy pandas plotly prediction python scikit sklearn
Last synced: 13 Apr 2026
https://github.com/gkannan-codes/habitableexos
With Earth’s habitability under strain, we ask: which known exoplanets could humans live on? Using NASA’s Exoplanet Archive, we score planets 0–1 (1 ≈ Earth) from five Earth-normalized features to rank top candidates.
data html kaggle matplotlib-pyplot numpy pandas plotly python seaborn visualization
Last synced: 11 Apr 2026
https://github.com/karthikmprakash/karthikmprakash
Karthik's Portfolio
bs4 data-analysis data-science keras machine-learning numpy pandas portfolio python selenium skills streamlit
Last synced: 13 Apr 2026
https://github.com/jo-minseok/global-warming-100year
🌡️ 2100년까지의 지구 기온, 해수면, 북극 빙하, 탄소 예측 ML [완료]
arima-model global-warming machine-learning matplotlib numpy pandas scikit-learn seaborn
Last synced: 11 Apr 2026
https://github.com/jbayardo/dip-tps
coursework image-processing introduction jupyter-notebook matplotlib notebook numpy python scikit-image scipy
Last synced: 13 Apr 2026
https://github.com/dilkushsingh/indian-startups-funding-dashboard
Dashboard app using Streamlit
matplotlib numpy pandas python seaborn streamlit streamlit-cloud streamlit-dashboard
Last synced: 11 Apr 2026
https://github.com/takana671/partiallytransparentimage
A simple tool to make an image partially transparent
geomipterrain numpy opencv pillow python3 transparent-image
Last synced: 07 May 2026
https://github.com/ishaan28malik/masters-admission-analyser
Admissions of Indian students for foreign universities.
admission classification machine-learning matplotlib numpy python students
Last synced: 08 May 2026
https://github.com/hectorta1989/py-images-classification
Images classification algorithms implemented by Python
ai computervision deeplearning imageclassification imageprocessing knn-classification machine-learning numpy pandas pca pca-analysis python3
Last synced: 04 May 2026
https://github.com/mohamed15058/amazon-sales
amazon-sales
dashboard excel machine-learning-algorithms matplotlib numpy pandas powerbi report seaborn
Last synced: 13 Apr 2026
https://github.com/eljandoubi/trading-with-momentum
A trading strategy based on a momentum indicator.
momentum numpy pandas scipy trading trading-algorithms trading-strategies
Last synced: 05 May 2026
https://github.com/mooseburger1/plotting-and-analyzing-weather-trends-gis-temp-data-
Plotting and Analyzing GIS Temperature Data from 1880 to Present
data-science data-visualization matplotlib numpy pandas-dataframe python-3
Last synced: 13 Apr 2026
https://github.com/gyselle-marques/face-detection
Machine Learning: Face Detection System created using OpenCV.
colab-notebook face-classification face-detection machine-learning numpy open-cv-face-detection opencv opencv-python python
Last synced: 13 Apr 2026
https://github.com/xiaohaoo/machine-learning-examples
机器学习使用不同框架的常见模型的例子
keras matplotlib numpy python pytorch sklearn tensorflow
Last synced: 11 Apr 2026
https://github.com/bhuvan-s-prasad/streamlit-regression
A machine learning project that predicts housing prices in California using regression techniques. This project includes comprehensive exploratory data analysis, feature engineering, linear regression modeling, and an interactive Streamlit web application for making predictions.
california-housing-price-prediction exploratory-data-analysis linear-regression machine-learning matplotlib numpy pandas python scikit-learn seaborn streamlit supervised-learning
Last synced: 11 Apr 2026
https://github.com/stdlib-js/blas-ext-linspace
Return a new ndarray filled with linearly spaced values over a specified interval along one or more ndarray dimensions.
arange arrange javascript linear linspace math mathematics matlab ndarray node node-js nodejs numpy seq sequence statistics stats stdlib
Last synced: 04 May 2026
https://github.com/chokzb/covid19_vaccination_analysis
An EDA project examining global COVID-19 vaccination progress. The notebook investigates vaccination trends by country, daily vaccination rates, timeline patterns, and dose distribution. The project includes visualisations created with Matplotlib, Seaborn, and Plotly.
covid-19 data-analysis data-visualization jupyter-notebook matplotlib numpy pandas plotly python seaborn vaccination
Last synced: 07 May 2026
https://github.com/nikita-data/sql_projects
SQL projects
database numpy pandas postgresql python sql sql-query sqlalchemy sqlite sqlite-database sqlite3
Last synced: 11 Apr 2026
https://github.com/daniel-brai/alx-t-x-udacity-data-analytics-nanodegree
A 3-month nanodegree going through the intricacies of data analysis with Python and its various libraries such Pandas, Numpy, matplotlib, seaborn and others
matplotlib numpy pandas python3
Last synced: 08 May 2026
https://github.com/jersonrn/termviewer3d
Interactive terminal environment that allows users to explore 3D models in real-time.
3d ascii cupy gpu linear-algebra numpy python
Last synced: 19 May 2026
https://github.com/abideen-olawuwo/bulldozer-prediction
Predicting the Future Price of Bulldozer
machine-learning matplotlib numpy pandas python random-forest-regressor scikit-learn
Last synced: 11 Apr 2026
https://github.com/mramshaw/intro-to-ml
Intro to Machine Learning - Pattern Recognition for Fun and Profit
machine-learning matplotlib ml numpy pandas pip pip3 python scikit-learn scipy seaborn seaborn-plots sklearn statsmodels tensorflow weka
Last synced: 11 Apr 2026
https://github.com/daksh90a/wine-quality-analysis
The Wine Quality Analysis project is an AI/ML-based data analysis initiative aimed at predicting and understanding the factors that influence the quality of wine.
matplotlib-python numpy pandas seaborn
Last synced: 12 May 2026
https://github.com/anikdascodes/fantasy-cricket-project
🏏 Python simulation for generating 20K+ unique fantasy cricket teams with probability-based player selection and constraint optimization. Advanced algorithms, data analysis & visualizations included.
algorithm constraint-satisfaction cricket data-science fantasy-sports jupyter machine-learning numpy optimization pandas plotly probability python simulation sports-analytics
Last synced: 28 Apr 2026
https://github.com/satvikpraveen/numpymasterpro
A hands-on, production-ready toolkit to master NumPy — from first principles to real-world applications. Includes modular Jupyter notebooks, reusable utility scripts, cheatsheets, and advanced projects like K-Means clustering from scratch.
broadcasting data-analysis data-science data-source data-visualization jupyter-notebook kmeans-clustering linear-algebra machine-learning matrix-algebra numerical-computation numpy numpy-broadcasting numpy-examples numpy-tutorial open-source python scientific-computing standardization vectorization
Last synced: 08 May 2026
https://github.com/krish57-bit/sentiment-analysis-using-bert
Sentiment analysis using NLP techniques and BERT Model
matplotlib natural-language-processing nlp nltk numpy pandas seaborn sentiment-analysis
Last synced: 08 May 2026
https://github.com/adityashinde716/generating-images-with-gan-generative-adversarial-network-
Built a image generator deep learning model using GAN (Generative Adversarial Network) using MNIST dataset for generation.
adam-optimizer batchnormalization binarycrossentropy checkpoint deep-learning deep-learning-algorithms discriminator gan generative-adversarial-network generator glob imageio keras machine-learning matplotlib neural-network numpy os tensorflow
Last synced: 07 Oct 2025
https://github.com/hansalemaos/a_pandas_ex_horizontal_explode
Explode list/tuples in columns
dataframe dataframes list numpy pandas python series tuple
Last synced: 14 Apr 2026
https://github.com/lmizner/codecademy_airline_analysis
Using visualization to explore a dataset
histplot jupyter-notebook lmplot math matplotlib-pyplot numpy pandas python seaborn
Last synced: 08 May 2026
https://github.com/saurabh274/aerofit-statistics-and-probability
The market research team at AeroFit wants to identify the characteristics of the target audience for each type of treadmill offered by the company, to provide a better recommendation of the treadmills to the new customers. The team decides to investigate whether there are differences across the product with respect to customer characteristics.
matplotlib-pyplot numpy pandas probability python seaborn statistics
Last synced: 08 May 2026
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
Last synced: 01 May 2025
https://github.com/isabelacaldeira/chutelibre
Crashing into code. Here is a physics problem about free fall solved with python!
freefall jupyter-notebook matplotlib numpy physics physics-simulation python3
Last synced: 11 Apr 2026
https://github.com/nova-land/kalmanfilter-python
Kalman Filter in PyTorch and Numpy
kalman-filter numpy python pytorch
Last synced: 08 May 2026
https://github.com/farhad-here/height-distribution-analysis
Statistical comparison of height distributions in two groups using mean, standard deviation, and boxplots.
coefficient-of-variation data-analysis interquartile-ranges matplotlib mean numpy python scipy standard-deviation variance
Last synced: 13 Apr 2026
https://github.com/chandkund/movie-recommender-system
Unlocking the magic of personalized movie recommendations! This project uses the Cosine Similarity Algorithm to suggest movies based on user-selected titles, making movie discovery more enjoyable.
cosine-similarity matplotlib nltk numpy pandas-python seaborn
Last synced: 12 May 2026
https://github.com/icejan/predicton-systems
Various systems that train on data and generate a prediction
lightfm machine-learning numpy python scikit-learn
Last synced: 08 May 2026
https://github.com/ashishgoswami13/handgesture_recognition
Real-time hand gesture recognition using computer vision and deep learning. Collect gesture images, train a model with Google Teachable Machine, and classify gestures live for applications like drone control or human-computer interaction.
computer-vision cvzone handgesture-recognition keras numpy python teachable-machine
Last synced: 18 Apr 2026
