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/thanhloc81/rfm-model-project
✨ Build a flow to deploy Segmentation evaluation through Python programming.
customer-segmentation numpy pandas python rfm-analysis
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https://github.com/mahendra077/linear-regression
analaysis linear-regression matplotlib-pyplot numpy pandas python regression seaborn statsmodels
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https://github.com/paulo-freitas-junior/ifood-dev-week2023
Repositório sobre a Dev Week iFood sobre uso de Python e Inteligência Artificial para realização de cálculo de NPS ( Net Promoter Score ) e a utilização de IA para análise de sentimentos dos comentários usando tecnologia do ChatGPT-4.
bert chatgpt colab-notebook matplotlib nltk numpy pandas python textblob-sentiment-analysis
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https://github.com/enoobis/conwaygolg
Conway's Game of Life Generator
conway conway-life conway-s-game-of-life conway-sgame conways-game conways-game-of-life game-of-life numpy python
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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
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https://github.com/cyb3r-jak3/docker-alpine-pandas
Python alpine image with pandas, and numpy installed
alpine-image numpy pandas-python python-alpine
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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
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Real-time stock price prediction app using LSTM, Streamlit, and historical data (2010–2023). Forecasts next 10 days & visualizes trends.
data-science django lstm machine-learning numpy pandas pandas-datareader scikit-learn stock-market stock-price-prediction stooq streamlit yahoo-finance yahoo-finance-api
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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
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https://github.com/leogaudin/python_piscine_for_data_science
42 • Python Piscine for Data Science
42 data-science matplotlib numpy oop pandas piscine python
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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
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https://github.com/nirmaldeepponnada/codeclauseinternshipproject2
Python, NLTK, Scikit-Learn, Pandas, NumPy, Pickle, SciPy, and JSON are used for text preprocessing, feature engineering, multi-label classification, and model persistence.
nltk numpy pandas pickle python scikit-learn scipy
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https://github.com/jcm-ai/robust-mlops-elevating-machine-learning-to-production-scale
This project aims to address the challenge faced by the Office of Foreign Labor Certification in managing a high volume of job certification applications for employers seeking to hire foreign workers in the United States. By leveraging ML models, this project seeks to streamline the process of shortlisting visa applicants based on historical data.
aws-ec2 aws-ecr aws-s3 cicd-pipeline data-science docker-image end-to-end exploratory-data-analysis git github-actions html machine-learning-models mlops mlops-project model-deployment mongodb numpy pandas python yaml
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https://github.com/rishabhmathur06/pytorch
This repository contains codes related to the PyTorch tutorial provided by Patrick Loeber
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https://github.com/muskan-setiya/spotify-data-analysis
Used Spotify.csv from Kaggle
matplotlib numpy pandas python seaborn tableau
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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
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https://github.com/mastermindromii/car-price-prediction-model
Here is My Regression Project based on Predicting Price of Car using Linear Regression.
linear-regression matplotlib numpy pandas python scikit-learn seaborn
Last synced: 13 Apr 2026
https://github.com/dmarks84/coursework_project_network-analysis-node-link-prediction
Project for University of Michigan Applied Data Science Specialization -- Analyzed network nodes and edges, developing custom features based on various scoring metrics; used features to train classifier model to predict node attribute (employee salary type) and future edges (employee connections)
classification cross-validation data-reporting databases eda grid-search matplotlib network-analysis numpy pandas python scikit-learn statistics supervised-ml visualization
Last synced: 13 Apr 2026
https://github.com/aaaastark/wordassociation-mutualinformation-nlp-project
Word Association and Mutual Information Project
gensim machine-learning matplotlib natural-language-processing nlp nltk numpy pandas python seaborn sklearn wordcloud
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https://github.com/fabriziomusacchio/ann_with_numpy
A how-to for building an artificial neural network from scratch using NumPy
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https://github.com/dharma-acha/imageclassification
This project is an interactive Streamlit web application using the VGG-13 model to classify images from the CIFAR-10 dataset. Users can upload images to receive real-time predictions and visual explanations of the model's decisions. The goal is to accurately classify images into one of the ten CIFAR-10 classes: airplanes, automobiles, birds, cats,
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https://github.com/singhvishal003/brain_stroke_prediction
Brain Stroke Prediction according to age and Health Condition.
matplotlib numpy pandas sklearn
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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.
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https://github.com/vishant007/annadataa
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https://github.com/nyx1311/toxicity-detector-using-bilstm
🚀 What we built: An AI-powered Women’s Safety & Well-Being Detector — a web app that flags multiple forms of online abuse in real time and offers tools for emotional recovery. 📊 Under the hood: BiLSTM + Word2Vec embeddings for deep, context-aware detection Trained on 21K+ labeled comments across 7 toxicity categories Built with Python, Tensor
epoch genism gpu keras-tensorflow matplotlib model nlp nlp-machine-learning nlpaug-textual numpy pandas pandas-library python3 streamlit tensorflow word2vec
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https://github.com/karthikmprakash/karthikmprakash
Karthik's Portfolio
bs4 data-analysis data-science keras machine-learning numpy pandas portfolio python selenium skills streamlit
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https://github.com/hilalozdemirbuyukasik/deep-learning
A collection of deep learning projects demonstrating RNNs, BiLSTMs, CNNs, and basic neural networks applied to time series forecasting, text sentiment analysis, image classification, and tabular data tasks, with examples of data preprocessing, model training, evaluation, and visualization.
bilstm cnn keras matplotlib nn numpy rnn scikit-learn tensorflow
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https://github.com/pythonhealthdatascience/stars-reproduce-lim-2020
Assessing the computational reproducibility of Lim et al. 2020 as part of STARS.
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Master's degree | HW | Mathematics for Computer Science course | Homeworks
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https://github.com/ahmedabdalkreem/healty-care
The Complete project using neural network to arrive the best healt know he is stoke or not.
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https://github.com/ediloaz/linear-regression-with-lists-numpy-and-pytorch
This was done like the homework #01 of Machine Learning Course, of Computer Science Master.
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https://github.com/abhinavraj009/x_ray-conversion-csv-
To convert an X-ray image into a CSV format for machine learning or data analysis, you'll typically want to represent the image as numerical pixel values.
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https://github.com/waghraj1699/codeclauseinternship_crop_disease_identification
Crop Disease detection app,it predicts wheather the given image of crop has disease or not.
cnn deep-learning machine-learning numpy pandas transfer-learning
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https://github.com/mmerlyn/analysis-of-tomato-prices
Forecasting tomato prices in Karnataka using machine learning to help farmers make better crop planning and selling decisions.
css flask html matplotlib numpy pandas python scikit-learn seaborn
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https://github.com/takana671/partiallytransparentimage
A simple tool to make an image partially transparent
geomipterrain numpy opencv pillow python3 transparent-image
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https://github.com/vedikasnehil/daily-leetcode-
Daily LeetCode Using Python is a project dedicated to solving coding challenges consistently using Python. It focuses on improving problem-solving skills, mastering Python techniques, and building a collection of clean, well-documented solutions. Perfect for interview preparation, learning algorithms, or daily coding practice!
matplotlib numpy pandas python python3 seaborn
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amazon-sales
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In this project, I had analyzed the data set of SHOEFLY.COM to find out valuable insights to check which platform is more useful for advertisement.
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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
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https://github.com/danny-1k/nnpy
Neural network library written from scratch in numpy
deep-learning neural-networks-from-scratch numpy python
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https://github.com/bkellmayer6/pybelikov
Efficient high-precision computation of fully normalized associated Legendre functions (fnALFs) using the Belikov recurrence algorithm
fully-normalized-associated-legendre-functions geodesy gravity-field legendre-functions mathematics numba numpy python scientific-computing spherical-harmonics
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https://github.com/spear97/montecarlo-simulaton
This project involved developing a Monte Carlo Simulation using Python, implemented with libraries like NumPy, Pandas, and Matplotlib within Visual Studio. The program's primary goal is to generate figures illustrating compound interest results over time for a specified amount.
data-science matplotlib matplotlib-figures numpy pandas-python python python-3 python3
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https://github.com/lupin3000/augmentedreality
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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
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https://github.com/tkc/node-neural-network
Built with only pure typescript, neural network iris sample.
javascript machine-learning neural-network node numpy typescript
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https://gitlab.com/DLR-SY/mcodac
MCODAC is a Fortran library for the numerical evaluation of fiber composite damage. The library contains analysis methods specifically tailored to fiber composites, from micromechanical homogenization approaches to macroscopic fatigue models of orthotropic multilayer composites.
Last synced: 02 Apr 2025
https://github.com/parthshah02/customer_churn_dashboard
This repository features a comprehensive project showcasing data analysis and interactive dashboard using Python
data-analysis matplotlib numpy pandas python
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https://github.com/lingesh81051/similar-template-document-matching-and-fraud-detection
An automated system for a health insurance company to streamline document processing, including template matching and fraud detection, resulting in reduction of processing time.
numpy opencv opencv-python pillow pymupdf pytesseract pytesseract-ocr python tkinter
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https://github.com/subratamondal1/heart-attack-prediction
Heart Attack Prediction of patients based on the required data. Data Ingestion - Data Preparation - Exploratory Data Analysis (EDA) - Modelling - Evaluation.
data-analysis data-science data-visualization kaggle-dataset machine-learning matplotlib-pyplot numpy pandas python3 scikit-learn seaborn
Last synced: 09 Apr 2026
https://github.com/ola-kaznowska/numpy-matrix-arrays
Practice working with the NumPy library and multiple arrays. Copy() and view() functions
Last synced: 18 Apr 2026
https://github.com/lmizner/codecademy_marketing_data_anlaytics
Final project as a part of the Codecademy Data Science: Analytics career path
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a repository intended for people who want to know some python basics
lambda-functions numba numpy oop pandas teaching
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https://github.com/hotequil/computer-vision
Study about computer vision.
jupyter-notebook matplotlib numpy python scikit-learn
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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
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https://github.com/adithaker/basic_nlp
🖨 Basic Data Viz; Sentiment Analysis and Cosine Similarity for starting NLP
cosine-similarity datavisualization jupyter-notebook matplotlib-pyplot nlp numpy pandas python sentiment-analysis sklearn textsimilarity wordembeddings
Last synced: 15 Apr 2026
https://github.com/patex1987/ghcn-temperature-dataset
Analysis of GHCN (Global Historical Climatology Network) temperature dataset using Numpy
climate-data jupyter-notebook numpy python temperature-data
Last synced: 10 May 2026
https://github.com/theblueberrycompendium/keras-movie-classification
This is an basic application that uses Keras
ai keras-tensorflow numpy python3 simple-project
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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/soumyapro/hand-tracking-volume-controller
This project leverages computer vision and machine learning to interpret hand gestures and movements, enabling interaction with volume device of your pc without the need for physical controllers.
mediapipe numpy opencv-python pycaw time
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https://github.com/yash-3-bit/pubg-game-prediction
catboost-model data-visualization feature-engineering numpy pandas
Last synced: 13 Apr 2026
https://github.com/fimbres/matplotlib-start
A crash project with the most important matplotlib functions and methods, used in data science, AI and machine learning.
data-science matplotlib matplotlib-pyplot numpy pandas python python-script
Last synced: 13 Apr 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/18mahi/digital_cave
An intermediate-level deep learning project that compares Convolutional Neural Networks (CNN) and Multi-Layer Perceptrons (MLP) on the MNIST handwritten digits dataset. This project demonstrates data augmentation, learning rate scheduling, and visual comparison of model performance
cnn confusion-matrix data-augmentation data-science deep-learning evaluation-metrics jupyter-notebook keras learning-rate-scheduler machine-learning matplotlib mlp numpy python3 scikit-learn seaborn tensorflow
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https://github.com/pranavsp108/time-series-forcasting
A time-series forecasting project to predict hourly energy consumption using Python, Pandas, and an XGBoost regression model.
data-analysis data-science energy-consumption forecasting matplotlib numpy pandas python scikit-learn sustainability time-series xgboost
Last synced: 10 Apr 2026
https://github.com/ahmadbuilds/fake-news-classifier
Classifies news articles as real or fake using an NLP pipeline with TF-IDF + n-grams and machine learning models. Includes text preprocessing, feature engineering, model training, and evaluation.
fastapi logistic-regression matplotlib n-grams nextjs nltk numpy pandas python3 random-forest-classifier react scikit-learn seaborn supervised-learning tf-idf typescript xgboost-classifier
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https://github.com/kostadinlambov/time-series-forecasting
This project evaluates the predictive performance of a CNN-LSTM Hybrid deep learning model for Bitcoin price movement prediction.
keras-tensorflow matplotlib-pyplot mlflow numpy optuna pandas python scikit-learn seaborn statsmodels ta-lib tensorflow
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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/nihanthbhargav/time-series-stock-market
This project combines computer vision and NLP by segmenting pet images with a U-Net model and generating captions using CNN-RNN/LSTM. Using the Oxford-IIIT Pets dataset, it demonstrates a unified pipeline that integrates pixel-level segmentation with automatic caption generation for meaningful image understanding.
matplotlib numpy pandas plotly python scikit-learn seaborn
Last synced: 11 Apr 2026
https://github.com/disney35/stock-prices-dashboard
A dashboard to analyze, predict, and visualize stock prices using Python & LSTM
ema jupyter-notebook keras macd matplotlib-pyplot mfi numpy pandas python rsi scikit-learn sma streamlit tenserflow yfinance
Last synced: 12 Apr 2026
https://github.com/elvisrock/government_analysis
Esse projeto, tem como objetivo, analisar, explorar algumas técnicas e propor uma sugestão ao governo de forma geral, sem qualquer viés politico.
data-science machine-learning numpy pandas python sklearn
Last synced: 05 Apr 2026
https://github.com/patilsukanya/assignment-06.-logistic-regression
Used libraries and functions as follows:
classifier concatination confusion-matrix eda linear-models logistic-regression logistic-regression-algorithm logit-model matplotlib-pyplot numpy one-hot-encoding pandas python roc-auc-score roc-curve seaborn
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https://github.com/akashash01/support_vector_machine
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data-science datavisualization machine-learning numpy pandas python sklearn svm-classifier
Last synced: 13 Apr 2026
https://github.com/dibsthegreat/titantic-dataset-analytics
DASC4850 Final Project where I did EDA to determine the survivability of Titanic guests depending on Age, Gender, Wealth, etc.
data-science data-visualization matplotlib numpy pandas python random-forest-classifier
Last synced: 13 Apr 2026
https://github.com/sweta-kaundilya/finance-data-project
This data project focuses on exploratory data analysis of bank stock prices throughout financial crisis all the way to early 2016.
financial-analysis jupyter-notebook matplotlib numpy pandas-python seaborn
Last synced: 16 May 2026
https://github.com/mehediehteshum/minesweeper
Building classic 'Minesweeper' game from scratch using Pygame with VS Code.
Last synced: 06 Oct 2025
https://github.com/hotequil/image-processing
Image processing.
jupyter-notebook matplotlib numpy opencv python
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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/minhtungonep/android-traffic-analysis
Android malware detection project analyzing network traffic patterns in a telecommunications context. Uses statistical hypothesis testing and data visualization to evaluate traffic features like DNS query times, TCP packets, and volume bytes for distinguishing between benign and malicious Android applications.
android-library bachelor-project bachelor-thesis cybersecurity cyface data-visualization hypothesis-testing malware-detection matplotlib network-traffic numpy pandas python scipy sdk statistical-analysis telecommunications voip-security
Last synced: 09 May 2026
https://github.com/swatisinghit/treadmill-customer-profiling-for-aerofit
Create comprehensive customer profiles for each AeroFit treadmill product through descriptive analytics. Develop two-way contingency tables and analyze conditional and marginal probabilities to discern customer characteristics, facilitating improved product recommendations and informed business decisions.
analytics conditional-probability data-analysis data-science data-visualization eda numpy pandas probability statistics
Last synced: 08 May 2026
https://github.com/sducournau/ign_lidar_hd_dataset
🏗️ Comprehensive Python library for processing IGN LiDAR HD data into machine learning-ready datasets for Building Level of Detail (LOD) classification. Features GPU/CPU processing, smart data management, and complete ML pipeline integration.
building-classification data-processing dataset france geospatial gis ign lidar lidar-hd numpy point-cloud scikit-learn
Last synced: 20 Jan 2026
https://github.com/ejw-data/python-bitwise-operators
Difference between bitwise and logical operators when using pandas
Last synced: 08 May 2026
https://github.com/sudharshan-bathini/chat-bot-using-cornell-movie-data-set
Developed an AI chatbot using the Cornell Movie Dialogs dataset; trained an LSTM-based model to generate context-aware, conversational responses for user inputs.
keras lstm-sentiment-analysis neural-networks nlp numpy python tensorflow tokenizer
Last synced: 08 Apr 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
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https://github.com/christabelsakyi/tsec
This project implements a time series forecasting solution for predicting electricity consumption based on historical data. It provides multiple model options, a Flask API for deployment, and visualization tools.
facebook numpy pandas python sklearn time-series-analysis
Last synced: 07 Oct 2025
https://github.com/18mahi/tweet-sentiment-analysis
Classify tweets into happy, sad, angry, excited, and neutral with this interactive Python model. Combining TF-IDF text features with engineered numeric features like emoji sentiment, polarity, subjectivity, and punctuation counts, it demonstrates intermediate-level NLP, feature engineering, and visualization skills.
data-science data-visualization jupyter-notebook machine-learning matplotlib nlp numpy pandas sklearn string textblob
Last synced: 30 Apr 2026
https://github.com/christabelsakyi/product_purchase_prediction
As a newly hired AI Engineer, your task is to predict customer behavior based on various features such as age, income, and gender. This exercise involves cleaning the data, training a decision tree model, and evaluating the model's performance to understand the key factors influencing customer purchasing decisions.
machine-learning matplotlib-pyplot numpy python seaborn sklearn
Last synced: 08 May 2026