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/lorenzorottigni/ml-spam-filter
Machine Learning python bootcamp: natural language processing with spam filter purposes
machine-learning npl numpy pandas python scikit-learn seaborn spam-filtering
Last synced: 11 Apr 2026
https://github.com/constraintautomaton/client_pgu1
The client part of the PgU1 project it. It command the robot and do the video processing
numpy opencv paramiko pyqt5 python3 raspberry-pi-3
Last synced: 12 Apr 2026
https://github.com/akashkg03/facial-expression-image-classification
This notebook involves to build a facial expression image classifier which categorizes facial expressions into one of seven emotions: anger, disgust, fear, happiness, sadness, surprise, and neutral.
jupiter-notebook numpy pandas python
Last synced: 28 Apr 2026
https://github.com/yasharmaster/coursera-deep-learning
Deep Learning Specialization by Andrew Ng on Coursera.
coursera coursera-deep-learning deep-learning keras keras-tensorflow numpy python tensorflow
Last synced: 11 Apr 2026
https://github.com/adi3042/sensor-fault-detection
πβοΈ Ensure Reliable Operations! Detect anomalies and prevent disruptions with our Sensor Fault Detection system. Explore advanced classification and regression techniques to identify and address sensor faults effectively. Your path to robust and accurate sensor data begins here! π¨π§ SensorFaultTech
classification css datetime fault-detection flask functools html ipykernel jupternotebook machine-learning numpy pandas python3 readme regression scikit-learn sensor setuptools venv
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https://github.com/dyarleniber/hands-on-machine-learning
This repository contains code examples, exercises, and projects related to the concepts covered in the book "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 3rd Edition" by AurΓ©lien GΓ©ron.
ai artificial-intelligence keras machine-learning matpolotlib numpy pandas scikit-learn tensorflow
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https://github.com/src3453/fluentscope
An oscilloscope that makes listening waveform more fun
audio-visualizer correlation mic-audio numpy oscilloscope pyaudio pygame pygame-application python python3 realtime trigger
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https://github.com/sothulthorn/stock-prediction-portal
The Stock Prediction Portal is a full-stack web application that demonstrates how to use machine learning models to analyze stock market data and forecast future trends.
axios django django-rest-framework javascript keras matplotlib numpy pandas python react tensorflow yfinance
Last synced: 02 Apr 2026
https://github.com/nauxqouh/python-for-data-science-labs
This repo contains weekly practical codes for my Python for Data Science course at university.
data-science jupyter-notebook numpy pandas python pytorch scikit-learn
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https://github.com/ferasaljoudi/driverdrowsinessdetection
Driver Drowsiness Detection using Machine Learning
drowsiness-detection keras-tensorflow machine-learning matplotlib numpy pandas python pytorch tensorflow
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https://github.com/aaaastark/life_expectancy_predication
Life_Expectancy_Predication
dataframe machine-learning matplotlib numpy pandas python sklearn tensorflow
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https://github.com/Sadegh-Khedry/Pneumonia-Detection-Using-CNN
Classifying chest X-ray images into two categories: Pneumonia or Normal using a Convolutional Neural Network (CNN).
cnn convolutional-neural-networks cv2 deep-learning harris-corners joblib jupyter-notebook keras kmeans-clustering matplotlib numpy orb pandas python seaborn shutil sifit tensorflow
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https://github.com/johnrobertsantos/exploratory-data-analysis-using-python
This project represents the culmination of my Python learning journey.
jupyter matplotlib numpy pandas python seaborn
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https://github.com/hariprasath-v/av-dataverse-hack---insurance-claim-prediction
Create a machine learning model to predict if the policyholder will file a claim in the next 6 months or not based on the set of car and policy features.
analyticsvidhya classification exploratory-data-analysis f1-score matplotlib numpy pandas python randomforest-classification scikit-learn seaborn shap
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https://github.com/ericchw/youth_discord_nlp_chatbot
A python AI chatbot with emotion detection model. Frontend using PHP, API using Flask and database using PostgreSQL. Collaborate with CyberYouth from SJS. @HKMU 2022-2023 FYP
ai bootstrap chatbot chinese-nlp docker emontion-detection flask jquery machine-learning nlp nlp-machine-learning nltk numpy pgsql php postgresql pycord torch transformers
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Generates different types of detailed plots for scientific data
fastapi h5py json matplotlib numpy pandas scipy
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https://github.com/chandkund/sentiment-analysis-using-nlp
This project focuses on Sentiment Analysis using the textual content from product reviews. The goal is to analyze user sentiments based on their written feedback, particularly focusing on the "reviewText" column in the dataset.
lemmatization matplotlib nlp nltk numpy pandas seaborn tokenization
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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
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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
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https://github.com/abideen-olawuwo/house-prediction
A house prediction model
matplotlib numpy pandas seaborn sklearn
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https://github.com/dabrokarol/atmorad-py
A 3D Monte Carlo simulation for radiative transfer.
atmospheric-science monte-carlo netcdf-files numpy physics-simulation python radiative-transfer
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https://github.com/priyanshgoantiya/confidence-interval-visualization
Confidence Interval Simulation
matplotlib numpy plotly seaborn
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https://github.com/chandkund/loan-eligibility-prediction
This project is designed to predict the eligibility of loan applicants based on various factors such as income, credit history, and marital status. By analyzing historical loan application data, the model helps to determine whether a loan application should be approved or not.
data-analysis data-science data-visualization machine-learning-algorithms matplotlib numpy pandas python seaborn
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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
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https://github.com/nilayhangarge/data-analysis-with-python
This repository provides a practical introduction to data acquisition and analysis using Pandas. It covers loading datasets, exploring data, manipulating data, and gaining insights through statistical summaries. Ideal for beginners, it offers code examples and explanations to enhance your data manipulation skills using Pandas for Python.
data-acquisition data-analysis data-analytics data-binning data-cleaning data-engineering data-fundamentals data-insights data-integration data-preprocessing data-science data-wrangling numpy pandas python
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https://github.com/bjpcjp/optimize-mktg-spend-with-lagrange
simple demo of marketing (2 channel) spend optimization
lagrange matplotlib matplotlib-pyplot numpy python scipy
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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
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https://github.com/afondiel/intro-to-artificial-intelligence-free-course-le-wagon
Intro to Artificial Intelligence Free Course from @LeWagon
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https://github.com/shwetajanwekar/hr-data-analytics
Analyze the HR data through exploratory data analysis, we identified key factors influencing employee attrition, satisfaction levels, and performance. Machine learning models enabled us to predict employee churn and classify potential candidates for promotion.
matplotlib numpy pandas seaborn
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https://github.com/analyticalmonk/neuralnetwork_fromscratch
neural-network neural-network-example numpy python python-3
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https://github.com/akibahmed229/development-of-intelligent
development of intelligent
data-science jupyter-notebook machine-learning metaploit natural-language-processing numpy pandas python skit-learn terraform
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https://github.com/imdeepmind/knn_from_scratch
KNN classifier in pure Numpy and Python
knn knn-classification machine-learning numpy python
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https://github.com/miguelszzz/simple_mnist
Minimalist MNIST implementation with two hidden layers written in C
ddpm densenet-tensorflow generative-model image-processing keras machine-learning neural-network numpy scratch tensorflow-mnist-train transformer triplet-loss vit vit-mnist
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https://github.com/costopoulos/ntua-telecommunications
:radio: :telephone_receiver: NTUA ECE Telecommunications Course Code & Report
numpy nyquist python sampling scipy telecommunications
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https://github.com/AsuquoAA/CDC_2017_Immunization_Data_Analysis
This project analyzes data from the CDC's 2017 National Immunization Survey Public Use File (NISPUF17) to answer research questions about immunization, child health, and vaccine-related behaviors.
Last synced: 21 Jul 2025
https://github.com/sakhileln/multimodal-chatbot-with-memory
A lightweight, CLI-based conversational agent that processes text and image inputs, remembers past interactions.
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https://github.com/shreyazh/respire
To deal with Respiratory Challenges
machine-learning matplotlib numpy pandas pillow python scikit-learn seaborn
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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/guptamudit/whatsapp-chat-analyser
Created an online Whats App chat analysis tool which is designed to extract valuable insights from your group or one-on-one conversations. By analyzing your chat data, WhatsChat provides detailed statistics and visualizations.
matplotlib numpy pandas python seaborn
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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/samaalharbi2/100-days-of-code
This repository is a collection of 100 Python projects built as part of the "100 Days of Code: Python Developer Challenge" course.
data-science game-development machine-learning numpy pandas python udemy
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https://github.com/samuele-lolli/data-analytics-techniques
A practical approach to data analytics pipeline.
numpy pandas pytorch scikit-learn
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https://github.com/pranavsuriya-sr/e-hub_energysystems
Python based Web Application for analysis and visualization of concepts in Energy Systems.
css energy-systems-analysis html javascript matplotlib numpy python schemdraw streamlit
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https://github.com/riya2624/heart-disease-diagnostic-analysis
Analyzed heart disease diagnostic data through an ETL process, ensuring data accuracy and readiness for analysis using Python (Pandas, NumPy, Matplotlib, Seaborn). Conducted comprehensive exploratory data analysis (EDA) to uncover trends related to heart disease rates by gender and age. Developed interactive dashboards with Power BI and Tableau
dashboard dax-query eda machine-learning matplotlib numpy pandas python seaborn
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https://github.com/amnydv17/landmark-detection
This project aims to leverage the power of deep learning models to automatically detect and pinpoint landmarks such as famous monuments, buildings, natural landmarks, and other recognizable structures within images.
machine-learning matplotlib numpy pandas python3 scikit-learn seaborn tensorflow
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https://github.com/subhamsarangi/pdnp
Data Analysis using Python
matplotlib numpy pandas python3
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https://github.com/splithor1zon/edu-barriermethodlp
Education material for learning/teaching of Linear Progrmming using Barrier Method. Presentation with commentary and python code available.
barrier-method convex-optimization cvxpy educational-project linear-programming numpy presentation python
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https://github.com/purcellcjp/credit-risk-classification
This project utilized Python and scikit-learn libraries to train and evalute a Machinge Learning model based on loan risk.
machine-learning numpy pandas-dataframe python scikit-learn
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https://github.com/llwusill/firepredictioncnn
CNN kullanarak Orman YangΔ±nΔ± Tahmin/Tespit Sistemi
matplotlib numpy opencv-python pandas sckiit-learn seaborn tensorflow
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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
Last synced: 11 Apr 2026
https://github.com/renukadhule/crop_production_python_analysis
This project analyzes crop production data in India from 1997 to 2015, identifying trends, seasonality, and top-performing states and crops. The insights aim to guide improvements in agricultural productivity and policy decisions.
matplotlib numpy pandas python
Last synced: 12 Apr 2026
https://github.com/samkazan/structural_discovery_of_macromolecules_data_analysis
This research project uses machine learning techniques and neural network to uncover key factors that contribute to successful protein structure discovery using Python and R
classification clustering ipython-notebook jupyter-notebook keras-neural-networks keras-tensorflow machine-learning neural-network numpy python r rmarkdown scikit-learn scipy tensorflow
Last synced: 02 Feb 2026
https://github.com/frolov-andrey2405/prime-numbers-and-polar-coordinate-system
Prime numbers and polar coordinate system
Last synced: 01 May 2026
https://github.com/dan-niles/neural-networks-from-scratch
A neural network implemented using only NumPy and Pandas for CS3631: Deep Neural Networks
Last synced: 05 May 2026
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
Last synced: 04 May 2026
https://github.com/francislauriano/chatsoftex
Plataforma desenvolvida em Python que visa automatizar e agilizar o processo de avaliação de projetos de inovação 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
Last synced: 03 Apr 2026
https://github.com/hansalemaos/group_by_continuous_sequence
Groups lists/NumPy arrays by continuous sequence
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https://github.com/ismaelvr1999/bioinspiredalgorithms
This repository contains implementations of various bioinspired algorithms for optimization and machine learning.
machine-learning matplotlib numpy python tensorflow
Last synced: 01 May 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/ahmedsamir45/demograghic-data-analyzer
answer some questions about the data
demographic-data-analyzer numpy pandas
Last synced: 01 May 2026
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
Last synced: 12 Apr 2026
https://github.com/ansh-info/industrial-scale-penicillin-simulation
Optimizing industrial-scale penicillin production using machine learning and data analysis.
jupyter-notebook machine-learning matplotlib numpy pandas python scikit-learn
Last synced: 11 Apr 2026
https://github.com/dylan-stewart/marvel-mysql-project
Project for Data Science
data-science iris-dataset marvel mysql network-x numpy pandas python
Last synced: 13 Apr 2026
https://github.com/sohan181204/airline-ticket-price-analysis
The analysis of airline ticket prices explores the dynamic and competitive nature of the aviation industry in India. With rapid economic growth and increasing air travel demand, understanding ticket price trends is crucial for airlines, passengers, and policymakers.
Last synced: 11 Apr 2026
https://github.com/shwetapardhi/assignment-1-q11--basic-statistics-level-1
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
Last synced: 13 Apr 2026
https://github.com/murugavl/loan_approval_prediction
This project is a Loan Approval Prediction System that uses Machine Learning to determine whether a loan application should be approved or rejected based on various factors. It is deployed using Streamlit for an interactive user experience.
jupyter-notebook machine-learning numpy pandas python random-forest-classifier scikit-learn stremlit
Last synced: 13 Apr 2026
https://github.com/pedasoft-consult/house-price-prediction
This project is a machine learning-powered web application for predicting house prices based on various features such as area, bedrooms, bathrooms, and more. It uses Flask for the backend and HTML/CSS/JavaScript for the frontend.
flask joblib matplotlib numpy pandas r2 random-forest regression seaborn sklearn
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https://github.com/madhurjain/carnd-traffic-sign-classifier-project-2
CarND Traffic Sign Classifier Project #2
carnd matplotlib numpy pandas python self-driving-car tensorflow
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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/cbhihe/nn_binary-classifier
NN-based binary classification with logistic regression loss, back-propagation with gradient descent and optional regularization
classifier gradient-descent logistic-regression neural-network numpy python regularization sklearn
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https://github.com/harmanveer-2546/nasa-asteroid-classification
Classifying whether an asteroid is hazardous or not.
eda matplotlib numpy pandas python seaborn visualization xgboost
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https://github.com/nabilshadman/python-uk-weather-analytics
An end-to-end data science workflow of UK weather data
data-engineering data-science data-visualization machine-learning matplotlib numpy pandas scikit-learn
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https://github.com/miss-mhv/udacityproject_dataviz
Data analysis of a bicycle rental system. The goal is to understand how trips are made according to age, time of year, day of the week, time of day
jupyter-notebook matplotlib numpy pandas python3 seaborn-plots
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https://github.com/ananyajain2004/fake-news-detection
A python project for detecting fake news using machine learning algorithms.
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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
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https://github.com/rafsaf/tw-complex
Algorithms for TW
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https://github.com/abdoomohamedd/python-data-analysis-projects
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data-analysis data-analysis-python data-cleaning data-visualization matplotlib matplotlib-pyplot numpy pandas python
Last synced: 01 May 2026
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
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/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/veb-101/deeplearning-specialization-coursera
My Solutions to the course Deeplearning.ai
deep-learning jupyter-notebook keras matplotlib numpy pandas python3 tensorflow
Last synced: 13 Apr 2026
https://github.com/mahdibehoftadeh/polynomial-regression-co2-emissions
A simple machine learning polynomial regression using a large dataset to learn and predict CO2 emission of a car by its built features like engine size and cylinders
machine-learning matplotlib numpy nural-network pandas polynomial-regression python scikit-learn
Last synced: 22 Feb 2026
https://github.com/satvikpraveen/numpymasterpro
A hands-on, production-ready toolkit to master NumPy β 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/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
Last synced: 13 Apr 2026
https://github.com/athul64/tmdb-dataset-analysis
This data set contains information about 10,000 movies extracted from TMDB. The dataset contains movies from 1960 to 2015. Including user ratings and revenue. Original data from Kaggle.
data-visualization dataframe eda numpy pandas python
Last synced: 14 Apr 2026
https://github.com/djdhairya/car-parking-detection
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Last synced: 13 Apr 2026
