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/mrktsm/spam-email-recognizer
Long Short-Term Memory (LSTM) network trained to classify emails as spam or non-spam. It processes email content to make accurate predictions and can be integrated into projects for efficient spam detection and email management.
data-preprocessing keras lstm-neural-network model-architecture nltk numpy pandas performance-evaluation scikit-learn spam-classification-model tenserflow training-the-model
Last synced: 09 Apr 2026
https://github.com/riju18/from-data-production-to-client-handover
The common tedious problem is to build a data app to demonstrate the data analysis & analytics along with Machine Learning to a client. It was an attempt to do it on small scale in the most powerful & simplest way.
machine-learning matplotlib numpy pandas plotly python seaborn streamlit
Last synced: 30 Apr 2026
https://github.com/lmizner/grokking_data_science
Coding practice for basic data science interview questions in Python
data-science numpy pandas python scikit-learn
Last synced: 11 Apr 2026
https://github.com/ksharma67/anomaly-detection-on-temperature-device-failure
A typical anomaly detection task and performing KMeans, PCA, Gaussian distribution, and Isolation Forest.
eda ellipticenvelope feature-engineering gaussian-distribution isolation-forest kmeans-clustering numpy pca python sklearn
Last synced: 11 Apr 2026
https://github.com/felinjob/ibm-applied-data-science-capstone
Este projeto, parte da especialização IBM Data Science Professional Certificate, prevê o sucesso do pouso do Falcon 9 da SpaceX. Usando dados da API da SpaceX e Web Scraping, o projeto inclui análise de dados e Machine Learning para gerar insights sobre os lançamentos.
data-analysis data-science data-visualization ibm jupyter-notebook machine-learning numpy pandas python scikit-learn seaborn sql
Last synced: 11 Apr 2026
https://github.com/jonad/boston_housing_price
Predicting Boston Housing Prices.
boston-housing-dataset jupyter-notebook matplotlib numpy pandas python3 scikit-learn
Last synced: 11 Apr 2026
https://github.com/rock12231/data-science-using-python-jupyter-notebook
Data Science Using Python Jupyter Notebook
data-science jupyter jupyter-notebook numpy pandas python
Last synced: 15 Mar 2025
https://github.com/andremenezesds/rossmann_sales_predict
Sales Prediction for Rossmann Pharmaceutics database using Machine Learning regression modeling
boruta cross-validation data-exploration data-science database flask-application git linux linux-shell machine-learning matplotlib numpy pandas python scipy sklearn xgboost-regression
Last synced: 11 Apr 2026
https://github.com/andrehaguiar/curso_py-data_science-machine_learning
Ciência de Dados e Inteligência Artificial com Python e estatística.
anaconda3 data-science jupyter-notebook machine-learning matplotlib numpy pandas python scipy seaborn sklearn spyder sql sql-server statistics
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https://github.com/charles-l/rayboi
a raytracer written in futhark/python
futhark numpy pathtracing python3 raytracing
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https://github.com/vishnu-vamshii/heart-disease-prediction-using-ml
This project presents an end-to-end data analysis and machine learning pipeline for predicting heart disease using a publicly available dataset. The project includes data exploration, visualization, and implementation of various machine learning models to predict the likelihood of heart disease based on a set of clinical attributes.
machine-learning matplotlib numpy pandas python seaborn sklearn
Last synced: 11 Apr 2026
https://github.com/oleksiilatypov/dru_data_science_fundamentals
DataRootUniversity, TensorFlow, Coursera, Kaggle
data-science kaggle machine-learning neural-network numpy pandas sklearn-library tensorflow
Last synced: 11 Apr 2026
https://github.com/audy21/datacamp
Learning portfolio documenting my progress, while taking Data Analyst & Data Science certifications from DataCamp.
data-analysis data-science machine-learning matplotlib numpy pandas python scikit-learn seaborn
Last synced: 11 Apr 2026
https://github.com/swarnabhaghosh/house-price-prediction-model
Built an end-to-end regression pipeline to predict house prices using Linear Regression with automated preprocessing (PowerTransform, StandardScaling) via Scikit-learn's Pipeline and ColumnTransformer.
column-transformer linear-regression matplotlib-pyplot numpy pandas pipeline python scikit-learn seaborn
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https://github.com/mgitrov/lifespan-x-population-status
A machine learning project aiming to predict animals' lifespan and population status.
bs4 data-science machine-learning matplotlib numpy pandas python regular-expressions requests seaborn sklearn
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https://github.com/chintanboghara/rocket-simulation
A comprehensive web-based orbital mechanics simulator with advanced mission planning, real-time tracking, and educational features.
docker flask html javascript numpy plotly python
Last synced: 11 Apr 2026
https://github.com/badranalyst/student-tests-data-analysis-application
Python-based analysis of student test scores in math, reading, and writing, examining correlations with parental education, lunch type, and test preparation. Includes data cleaning, visualization, and statistical insights into factors influencing academic performance.
data-analysis data-visualization dataset matplotlib numpy pandas python sklearn
Last synced: 05 May 2026
https://github.com/amanda-ucc/market-tracker
Automated portfolio creator that generates a portoflio which mimics a bench mark index by minimizing the tracking error.
beta covariance numpy pandas scipy sharpe-ratio tracking-error variance yfinance
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https://github.com/ricardorobledo/ml_optimization
matplotlib numpy python scikit-learn xgboost
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https://github.com/dastogirrudro/machine-learning-and-deep-learning
This is my thesis project which i have done in varsity.Here i used machine learning and deep learning i used LSTM as deep learning.This can identify aggresive spam message. Here i used pandas scikit-learn and many more framework i used python as a programming language.I used many algorithm for highering the accuracy of my project.
deep-learning lstm machine-learning numpy pandas python scikit-learn
Last synced: 11 Apr 2026
https://github.com/matbesancon/kaggle-digit-recognizer
Some tests with the Kaggle Digit Recognition challenge
image-processing kaggle kaggle-digit-recognizer machine-learning mnist-dataset numpy pandas python scikit-image scikit-learn
Last synced: 11 Apr 2026
https://github.com/bhawnamehbubani/advanced-zomato-restaurant-clustering-and-sentiment-analysis
This project leverages this data to perform clustering and sentiment analysis, providing actionable insights for customers and business growth.
matplotlib-pyplot nltk numpy pandas seaborn sklearn wordcloud
Last synced: 05 May 2026
https://github.com/udhaya2823/dataspark-illuminating-insights-for-global-electronics
✨DataSpark✨ is a powerful analytics project transforming raw retail data into actionable insights for Global Electronics. By leveraging Python, SQL, and interactive visualizations, it uncovers trends in customer behavior, sales performance, and product popularity, driving smarter business decisions and boosting growth.
data-science data-visualization database-management datacleaning exploratory-data-analysis matplotlib numpy pandas powerbi python seaborn sql version-control
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https://github.com/andersoncrs/prediccion_precio_vehiculos_statsmodels
Este proyecto utiliza un modelo de regresión lineal para predecir el precio de vehículos basándose en sus características principales. El análisis incluye la definición del problema, exploración y limpieza de datos, conversión de variables categóricas a numéricas, evaluación de correlaciones y entrenamiento del modelo.
analisis-de-datos analisis-exploratorio-de-datos matplotlib numpy seaborn statsmodels visualizacion-de-datos
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https://github.com/emhash/numpy-tutorial
Just simple tasks of practice of NumPy library of python
numpy numpy-library numpy-tutorial python
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https://github.com/sufiyan1803/student-result-analysis
This project explores student exam data to find out what affects their scores. It covers everything from cleaning the data to analyzing score distributions, the effects of parental education and marital status, and comparisons by gender and lunch type. It’s a great way to see how different factors influence student performance.
matpolotlib numpy pandas python
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https://github.com/lijesh010/ml_project_data_preprocessing
The main objective of this project is to design and implement a robust data preprocessing system that addresses common challenges such as missing values, outliers, inconsistent formatting, and noise. By performing effective data preprocessing, the project aims to enhance the quality, reliability, and usefulness of the data for machine learning.
data-cleaning data-exploration data-preprocessing machine-learning numpy pandas-python python scikit-learn
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https://github.com/saliola/nonnegative_integer_matrices
code to generate and count nonnegative integer matrices with prescribe row and column sums (aka contingency tables)
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https://github.com/arn4/labtools
Package with useful scripts for Physics Laboratory Courses
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https://github.com/athari22/mean-normalization
Mean Normalization
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https://github.com/kkufieta/carnd-vehicle-detection
Vehicle Detection & Tracking - Self Driving Cars
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https://github.com/cfbastarz/jupyternotebooks
A collection of several Jypyter notebooks.
dask matplotlib numpy python xarray xesmf
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https://github.com/apfirebolt/numpy-and-pandas-examples
Some examples and sample datasets to learn numpy, pandas and other data science libraries in Python
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https://github.com/bartosz-ziolkowski/bartosz-ziolkowski.github.io
Blog with short data stories of various data sets
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https://github.com/binakot/python3-course
course data-science learning matplotlib numpy pandas python
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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
Last synced: 01 May 2025
https://github.com/anubagre/predicting-price-of-pre-owned-cars
This project is solution to data science problem based on regression model to predict the price of pre owned cars. Programming language used is Python.
data-science machine-learning numpy pandas price-prediction python seaborn sklearn streamlit
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
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https://github.com/ikbalcaus/HandSketch
Drawing on Canvas with Hand Gestures + AI for Letter Recognition
mediapipe numpy ocr-recognition opencv python pytorch tkinter
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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/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/venkatnvs/deep_learning-nn-python
Deep learning and Neural networks
keras matplotlib numpy pandas python sklearn tensorflow
Last synced: 11 Apr 2026
https://github.com/jorisbertier/learnpython
Project for learn Python
beautifulsoup4 matplotlib numpy pandas python seaborn
Last synced: 05 May 2026
https://github.com/harmanveer-2546/wafer-fault-detection
The goal is to eliminate manual work in identifying faulty wafers. Opening and handling suspected wafers disrupts the entire process. False negatives result in wasted time, manpower, and costs.
clustering data-transformation feature-selection machine-learning matplotlib numpy pandas python random-forest roc-auc-curve roc-auc-score seaborn sklearn svc xgboost
Last synced: 11 Apr 2026
https://github.com/lohiyah/real-estate-price-forecast
A Python-based app predicting real estate prices using machine learning. Built with Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn for data processing and visualization, and Flask for the web interface.
flask matplotlib numpy pandas python3 scikit-learn seaborn
Last synced: 11 Apr 2026
https://github.com/diegorezm/spc
Analise de espectros de Infravermelho por Transformada de Fourier (FTIR)
ftir-data-analysis numpy python
Last synced: 21 Apr 2026
https://github.com/biasandrade/rede-neural-do-zero-classificacao-binaria
🧠 Rede Neural Artificial construída do ZERO (só NumPy) para detectar fraudes em transações | Forward/Backward Propagation | Sigmoid | Gradiente Descendente
backpropagation binary-classification deep-learning fraud-detection from-scratch gradient-descent machine-learning neural-network numpy python
Last synced: 18 Nov 2025
https://github.com/pavanreddy565/infosys_python_for_datascience
Data Science Course Tasks Repository This repository contains tasks and projects completed during the Data Science course from Infosys Springboard. It includes setup instructions for running Jupyter Notebook sessions in a virtual environment.
Last synced: 29 Apr 2026
https://github.com/staciax/data-science
data-science matplotlib numpy skit-learn
Last synced: 18 Nov 2025
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/chirindaopensource/non_linear_forecasting_backcasting
Python implementation of Gourieroux-Jasiak's (2025) mixed causal-noncausal VAR models. Features probabilistic forecasting, nonlinear innovation filtering, and state-dependent IRF analysis for financial time series with explosive dynamics. Enables robust risk assessment and structural analysis of speculative behavior.
bootstrap bubble-analysis financial-modeling forecasting jupyter-notebook monte-carlo nonlinear-modeling numpy pandas python quantitative-finance research-implementation risk-management scipy statistical-modeling time-series uncertainty-quantification var-models
Last synced: 11 Apr 2026
https://github.com/abideen-olawuwo/georgiatimeseries
A times series forcasting
arima itertools linear-regression matplotlib numpy pandas python seaborn statistics statsmodels time-series
Last synced: 11 Apr 2026
https://github.com/sonnguyen25/hackbeanpot-2025
EarthBeats - An Eco-friendly Pocket Road Trip Companion
css flask googlemaps-api html humeai knn-model mongodb nextjs nodejs numpy pandas python reactjs recommender-system scikit-learn spotify tailwindcss
Last synced: 11 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/4211421036/githubiotpy
GitHubIoT is a comprehensive toolkit designed to simplify the visualization of IoT (Internet of Things) data with seamless GitHub integration. The application provides an intuitive graphical interface for real-time data monitoring, analysis, and configuration
cli esp32 esp8266 github-actions github-iot matplotlib numpy pypi-packages python tkinter
Last synced: 16 Apr 2025
https://github.com/parbhat-cpp/suicidal-ml
A machine learning/NLP-based system to identify signs of suicidal ideation from user text inputs.
bash cicd classification docker fastapi githubactions jinja2 jupyter-notebook machine-learning natural-language-processing nlp numpy pandas python scikit-learn
Last synced: 11 Apr 2026
https://github.com/chaudharypraveen98/lungcancerdetection
To distribute the work of doctors and process the large amount of data to produce accurate results on the go
numpy pandas pillow python scipy tenserflow
Last synced: 16 Apr 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/theashishmavii/intelligent-crash-detection-and-emergency-notification
Intelligent Crash Detection: A deep learning-based system that detects vehicle accidents in real-time and sends emergency alerts with GPS location.
artificial-intelligence computer-vision deep-learning geolocation geopy keras machine-learning matplotlib numpy opencv pandas python tensorflow twilio vgg16
Last synced: 11 Apr 2026
https://github.com/reputed-artist/liver-disease-prediction-using-ensemble-machine-learning-method
Master degree project for liver disease prediction. i have improved the code reaching its accuracy to 98-99% from 70%.
jypyternotebook lgbmclassifier machine machine-learning machine-learning-algorithms machinelearning machinelearning-python machinelearningprojects model-training-and-evaluation numpy pandas prediction python randomforestclassifier svm-classifier xgboost-classifier
Last synced: 11 Apr 2026
https://github.com/ricardorobledo/ml_calculus
matplotlib numpy pandas python3 sympy
Last synced: 11 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/rafsaf/tw-complex
Algorithms for TW
mit numpy poetry pypi-package python scipy sklearn
Last synced: 22 Feb 2026
https://github.com/ashishsingh789/traffic_accident_analysis
Analyzed traffic accident data to identify patterns related to road conditions, weather, and time of day. Visualized accident hotspots using heatmaps and bar plots.
excel matplotlib numpy pandas pandas-dataframe python seborn
Last synced: 11 Apr 2026
https://github.com/abhi227070/wine-quality-prediction
The Wine Quality Prediction project utilizes machine learning to assess wine quality based on various parameters. It offers a user-friendly interface built with Streamlit for easy interaction. Deployed on AWS, it provides scalable access to quality predictions for wine batches.
classification-algorithm machine-learning machine-learning-algorithms machinelearning matplotlib numpy pandas python3 seaborn
Last synced: 11 Apr 2026
https://github.com/bearddan2000/python-web-3d-matplotlib-contour-graph
A demo of creating a 3d contour graph.
3d contour graph matplotlib numpy pandas python web
Last synced: 11 Apr 2026
https://github.com/harmanveer-2546/nasa-asteroid-classification
Classifying whether an asteroid is hazardous or not.
eda matplotlib numpy pandas python seaborn visualization xgboost
Last synced: 11 Apr 2026
https://github.com/aaaastark/framingham_hart_study_cohort
Framingham_Hart_Study_Cohort
csv io matplotlib numpy pandas python sklearn tensorflow
Last synced: 11 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/jbalooshie/movies-etl
Exercise working with movie datasets from Kaggle and Wikipedia. Python is used to extract, clean, and combine the data, and then it is loaded into a postgreSQL database.
data-analysis data-science jupyter-notebook numpy pandas postgresql postgresql-database python sqlalchemy
Last synced: 11 Apr 2026
https://github.com/prachpaveeny/pyspark-project
PySpark-project
azure azure-sql-database google-cloud-platform jupyter-notebook numpy pandas pyspark python
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/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/anshpg/vectorwave
The Jupyter Notebook (ipynb file) contained within this repository serves as the primary codebase for this project. It demonstrates how to preprocess the input data, train the logistic regression classifier, evaluate its performance, and save the trained model for future use.
collab jupyter-notebook matplotlib-pyplot numpy pandas python sklearn
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https://github.com/krik8235/ml-project-sentiment-analysis
Build a machine learning model for sentimental analysis using NLTK.
kaggle kaggle-dataset machine-learning machine-learning-algorithms nltk nltk-library numpy pandas python3 seaborn sklearn
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https://github.com/rakibhhridoy/differentprojects
Some of my learning projects that I practice to launch in data science. Not all, but some of few that was stored in my local repository. It can be useful for beginner data science enthusiast. Explore and learn!
data-science deep-learning machine-learning mathematics matplotlib numpy pandas python scikit-learn seaborn statistics
Last synced: 11 Apr 2026
https://github.com/alejandrolara11/machinelearningcourse
Machine Learning Basics: From Setup to Clustering
data-analysis data-science machine-learning numpy pandas plotly preprocessing-data python scikit-learn seaborn streamlit
Last synced: 11 Apr 2026
https://github.com/shubhamahobia/lstm-hamlet
The LSTM Next Word Prediction project trains a model on Hamlet to predict the next word in a sequence. After preprocessing the text, an LSTM network learns patterns in the language. The trained model can then generate text by predicting the next word in a given sequence, with its accuracy evaluated to ensure it effectively models the language.
deep-learning github hamlet lstm lstm-neural-network lstm-neural-networks machine-learning neural-network nltk numpy pandas pickle python
Last synced: 11 Apr 2026
https://github.com/samuele-lolli/data-analytics-techniques
A practical approach to data analytics pipeline.
numpy pandas pytorch scikit-learn
Last synced: 11 Apr 2026
https://github.com/tjpavii0809/classification-regression-models
Simple Predictive Model of Machine Learning
data-science numpy pandas scikit-learn supervised-learning
Last synced: 20 Jan 2026
https://github.com/codewithmayank-py/covid19-data-analysis-using-python
COVID-19 and Happiness Analysis
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Last synced: 11 Apr 2026
https://github.com/ashishsingh789/titanic_dataset_eda_and_visualization
This repository contains an exploratory data analysis (EDA) of the Titanic dataset. Key analyses include survival rates by gender, passenger class, age distribution, family size, and correlation heatmaps.
data data-science dataanalysis matplotlib numpy pandas pandas-dataframe python seborn visualisation
Last synced: 11 Apr 2026
https://github.com/sakhileln/multimodal-chatbot-with-memory
A lightweight, CLI-based conversational agent that processes text and image inputs, remembers past interactions.
chatbot machine-learning nlp numpy opencv spacy tensorflow
Last synced: 11 Apr 2026
https://github.com/abdulsamie10/animalclassification-cnn
Different pics of dogs, cats and pandas were used and applied CNN on them to find out their type.
animal-classification cnn colab-notebook computer-vision convolutional-neural-network convolutional-neural-networks deep-learning jupyter-notebook keras machine-learning numpy python python3 pytorch
Last synced: 11 Apr 2026
https://github.com/yashlad27/machine_learning_data_science
Zero To Hero
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Last synced: 11 Apr 2026
https://github.com/prashhhant213/cardioflex-treadmill-analysis-using-descriptive-statistics-probability
Description Analysis and Visualization on CardioFlex Treadmill data to provide insights and recommendations to improve their userbase.
colab-notebook numpy pandas probability python stats
Last synced: 11 Apr 2026
https://github.com/kzon94/torn-market-analyzer
Streamlit app that parses Torn Add Listing text, matches items with a custom dictionary, fetches market data via the public API, and generates KPIs and price recommendations using a modular Python analytics pipeline.
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https://github.com/akansha2004pandey/chsw_projects
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https://github.com/aminkhavari78/text-generation-with-lstm-recurrent-neural-networks-in-python-with-keras
use LSTM model for text generation
dropout io lstm-neural-networks numpy pandas sequence-models sys text-processing
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https://github.com/bagusperdanay7/fcc-da-mean-variance-standard-deviation-calculator
One of Data Analysis with Python (freecodecamp) task, created a Mean Variance Standard Deviation Calculator.
data-analysis freecodecamp-project numpy python
Last synced: 06 May 2026
https://github.com/zhanziyuan/pixelpuzzle-web
Encode/decode images using Base64 or shuffle/recover the pixels of images.
anime encryption image image-processing numpy python
Last synced: 11 Apr 2026
https://github.com/nirmaldeepponnada/codeclauseinternshipproject1
This project involves Customer Segmentation using K-Means clustering to group customers based on Recency, Frequency, and Monetary (RFM) analysis from the Online Retail dataset. It also performs Sentiment Analysis on Amazon Product Reviews using Natural Language Processing techniques & Logistic Regression to classify reviews as positive or negative.
kmeans logistic-regression numpy pandas python3 regular-expressions scikit-learn tf-idf-vectorizer
Last synced: 11 Apr 2026
https://github.com/batthulavinay/which-anime-dominates-the-world
This Kaggle notebook analyzes the global popularity of anime across different countries. Using data visualization and statistical insights, we explore which anime dominate in various regions and uncover trends in global anime consumption.
data-visualization exploratory-data-analysis matplotlib numpy pandas python seaborn
Last synced: 24 Mar 2025
https://github.com/aaaastark/textclassification-nlp-project
Dataset preparation, Feature Engineering, Model Building, Summary Statistics, Data Exploration by Visualizations, and Save File CSV
matplotlib nltk numpy pandas python seaborn sklearn textblob wordcloud
Last synced: 11 Apr 2026
https://github.com/lorenzorottigni/dl-lending-club
Deep Learning python bootcamp: deep learning on Lending Club dataset
deep-learning ipynb keras machine-learning numpy pandas python scikit-learn seaborn tensorflow
Last synced: 11 Apr 2026
https://github.com/jagroop2001/learning-numpy
Learning NumPy complete the exercise
Last synced: 16 May 2025