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/dulajkavinda/diabetes-detection
💊detect diabetes using machine learing
added machinelearning numpy pandas python scikit
Last synced: 14 Sep 2025
https://github.com/moritzsalla/cci-advanced-visualization
Classwork for Mick Grierson's module at the Creative Computing Institute
matplotlib numpy openframeworks python tensorflow
Last synced: 06 May 2026
https://github.com/sandeepannandi/slicecam
SliceCam is a fun, camera-controlled game powered by OpenCV and Mediapipe that lets you slash flying fruits with real-time hand tracking.
collision-detection handtracking mediapipe mediapipe-hands motiondetection numpy opencv pygame python
Last synced: 06 May 2026
https://github.com/nurulashraf/linear-regression-spotify
Data Science - Spotify Linear Regression Analysis
data-analysis data-preprocessing data-visualization dataset-exploration feature-selection linear-regression machine-learning matplotlib mean-squared-error model-evaluation multiple-regression music-analytics numpy predictive-modeling python regression-analysis root-mean-squared-error scikit-learn seaborn spotify-data
Last synced: 01 May 2026
https://github.com/mohammedsaqibms/planar_data_classification_with_onehidden_layer
This repository implements a simple neural network for binary classification of 2D planar data using Python and NumPy. It compares logistic regression with neural networks and includes code for forward/backward propagation, gradient descent, and decision boundary visualization.
backpropagation binary-classification gradient-descent logistic-regression machine-learning neural-networks numpy python3
Last synced: 10 Jul 2025
https://github.com/alejoduarte23/si_bayesianmixturemodel
Implementation of a two-stage fast Bayesian system identification for separated Modes. This repository expands the usage of this technique by adding a mixture model fit to obtain modal parameters from the posterior distribution.
matplotlib numpy scikit-learn scipy
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https://github.com/mkdirer/depression-data-analysis
This project analyzes a Kaggle depression dataset using data preprocessing, clustering, classification, and outlier detection techniques. Python libraries like pandas, numpy, matplotlib, seaborn, and scikit-learn are used to extract insights.
classification clustering matplotlib numpy pandas scikit-learn seaborn vizualization
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https://github.com/vjpaij/datascience-udemy
Various basic codes on datascience
machine-learning matplotlib numpy pandas python seaborn
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https://github.com/shreeparab1890/laptop-price-predictor
This notebook is trying to build a model which will predict the price of the laptop based on the given specifications.
machine-learning-algorithms matplotlib numpy pandas price-prediction python scikit-learn sklearn
Last synced: 06 Apr 2026
https://github.com/jancervenka/genalg
Solver for traveling salesman problem
genetic-algorithm numpy python
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https://github.com/jaffarkeikei/hackbio
This repository contains a comprehensive toolkit for analyzing single-cell perturbation data from the NeurIPS 2023 Competition. The project focuses on understanding how different drugs (small molecules) affect various cell types at the gene expression level.
csv-files jupyter-notebook matplotlib numpy python tensors
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https://github.com/iamfarrokhnejad/some-neural-network-application
This repository contains various NN codes converted from Matlab to Python
cv2 deep-learning deep-neural-networks educational matplotlib neural-network neural-networks neuralnetwork neuralnetworks numpy python sklearn tensorflow tensorflow2
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https://github.com/vipinchaudhary31122002/cardiopredict
CardioPredict is a smart, ML-powered application that helps analyze your risk of heart disease using interactive forms, clinical features, and trained classification models.
machine-learning matplotlib numpy pandas python3 random-forest seaborn streamlit
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https://github.com/miltiadiss/TSLA-stock-price-prediction
matplotlib numpy pandas scipy sklearn
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https://github.com/claby2/mouse-track
Track, display, and graph the position of a mouse cursor.
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https://github.com/abynxv/automatedexamsheetgrader-ocr
This Python project automates grading of handwritten or printed answer sheets using OCR (Optical Character Recognition). It extracts student answers from scanned images, compares them to an answer key, and generates a detailed report with class statistics.
numpy ocr-recognition opencv pandas python3 tesseract
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machine-learning matplotlib numpy pandas python3 scikit-learn seaborn streamlit
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https://github.com/baschin1103/principal_component_analysis
In this repository you find a python program and the prints and 3D-visualization of it. After the KNN-Classification I wanted to know which variables have the most relevance for the results. One approach for this is the Principal-Component-Analysis (PCA). More details in the python program as comments.
3d-printing labelencoder matplotlib numpy pandas principal-component-analysis sklearn-library sqlalchemy standardization variable-importance
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https://github.com/tberchanov/clustering-k-means
Sample program where is implemented clustering by K-means algorithm, and its visualisation.
clustering-algorithm kmeans-clustering matplotlib numpy python
Last synced: 16 May 2026
https://github.com/themihirmathur/machine-failure-predictor
The 'Machine Failure Predictor' is a web application designed to enable predictive maintenance for industrial equipment. Leveraging machine learning techniques, this application predicts whether equipment will fail and identifies the type of failure based on key process parameters.
cicd digitalocean docker fastapi flask github github-actions machine-learning matplotlib mlops numpy plotly python randomforest scikit-learn seaborn streamlit
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https://github.com/shibbir-ahmad24/amazon-product-sales-data-analysis-trends-and-insights
Amazon Product Sales Data Analysis: Trends and Insights
amazon-dataset data-analysis matplotlib numpy pandas seaborn
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https://github.com/shibbir-ahmad24/a-deep-dive-into-covid-19-death-trends-in-the-usa
Unveiling Insights: A Deep Dive into COVID-19 Death Trends in USA
aggregation colab-notebook interactive-visualizations map matplotlib numpy pandas python3 seaborn
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https://github.com/winstxnhdw/pyalign
An over-engineered website for aligning multiline strings to a common character with PyScript.
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https://github.com/joeylemon/python-kmeans
an implementation of the K-means clustering algorithm in Python
k-means-clustering matplotlib ml numpy python
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https://github.com/abdelmajidlh/fifa19
Ce projet conciste à analyser et visualiser les données FIFA19. Il est destiné aux jeunes data analystes ou ceux et celles qui souhaite apprendre la programmation Python. Le projet sera mis à jour au fur et à mesure.
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https://github.com/rtmigo/markov_walk_py
🔢 Python module that calculates probabilities for a random walk in 1-dimensional discrete state space
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https://github.com/bishopce16/surfs_up
An analysis of weather data to determine opening of an ice cream and surf shop using SQLite, SQLAlchemy, and Python.
matplotlib numpy pandas python sqlalchemy sqlite weather
Last synced: 02 Apr 2026
https://github.com/omdoshi13/pricing-of-laptops-using-ml
Data Analysis, training Machine Learning models, and Model Evaluation and Refinement for Pricing of Laptops dataset.
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https://github.com/pramodyasahan/titanic-survival
This repository contains a machine learning project focused on predicting the survival of passengers on the Titanic. The project uses a Support Vector Regression (SVR) model from the sklearn library and involves data preprocessing and prediction.
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https://github.com/muralikrishna-cec/mca-s3
MCA SEMESTER 3 PROGRAMS
android-application android-studio java jupyter-notebook ml numpy python
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https://github.com/sebastianofazzino/ibm-data-science-professional-certificate
In this repository I've stored exercises and projects I've been working on while attending IBM Data Science Professional Certificate, using Python and its libraries.
data-analysis data-mining data-science data-structures data-visualization database machine-learning matplotlib numpy pandas python regression seaborn sql
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https://github.com/danielpancake/mlml
my little machine learning library written in NumPy
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https://github.com/ohyeasabhi/signature-recognizer
Este projeto desenvolve um sistema para verificar a similaridade de assinaturas usando redes neurais. Ele utiliza o Triplet Loss para criar embeddings, focando na avaliação biométrica com o dataset CEDAR. 🖊️🌐
backpropogation-neural-network computer-vision django image-recognition jupyter-notebook keras machine-learning-projects neural-network numpy one-shot-learning python-project siamese-neural-network signature signature-recogniton tensorflow type voice-recognition windows
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https://github.com/tushar365/titanic---machine-learning-from-disaster
"Titanic: Machine Learning from Disaster" is a classic Kaggle competition for beginners https://www.kaggle.com/competitions/titanic. The goal is to use machine learning to predict which passengers survived the sinking of the Titanic based on historical data. This teaches data analysis and model building skills in a real-world context.
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Last synced: 19 Apr 2026
https://github.com/khaja-shaik-21/heart-disease-prediction-system
This form allows users to enter key health details like age, blood pressure, cholesterol levels, and exercise results to predict the likelihood of heart disease. The data is submitted to the backend for processing, where a machine learning model provides a prediction. The form is styled for a clean and responsive user experience.
css3 flask-application git html5 logestic-regression numpy pandas python3 scikit-learn
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https://github.com/abdelrahman-lila/seam-carving
Seam Carving for Content Aware Image Resizing Project - Computer Vision Lab
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https://github.com/abidhasanrafi/pharma-sales-analytics
A Streamlit-powered web application for analyzing pharmaceutical sales performance across teams, products, and territories.
matplotlib numpy pandas plotly sales-analysis scikit-learn seaborn streamlit
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https://github.com/kumpatlapavankumar/recognizing-flowers-with-convolutional-neural-networks
This project uses a Convolutional Neural Network (CNN) to classify flower images into five categories: Daisy, Dandelion, Rose, Sunflower, and Tulip. The model is trained on the Flowers Recognition dataset with image augmentation techniques to enhance generalization.
cnn-keras coding data-science deep-learning enjoying flower-classification machine-learning numpy opencv2 pandas pathlib pillow python tensorflow testing training
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https://github.com/harmanveer-2546/diagnosis-of-pneumonia-by-cnn-classifier
The primary objective s to develop an accurate and efficient classification model capable of identifying pneumonia cases in patients based on chest X-ray images. Pneumonia is a prevalent and potentially life-threatening respiratory infection. Early detection plays a critical role in timely intervention and effective treatment.
binary-accuracy dropout flatten keras loadimg matplotlib maxpooling2d numpy python regularizers roc-curve seaborn sequential-models tensorflow vgg16
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https://github.com/vyjayanthipolapragada/human_detection_hog
Detect humans in real-time, image or video and count the detected people using OpenCV and HOG Descriptor
computer-vision easygui hog-descriptor human-detection image-processing imutils numpy opencv os python support-vector-machine
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https://github.com/satoshin-des/pythonlatticelibrary
Python Lattice Library
lattice lattice-based-crypto lattice-based-cryptography lattice-basis-reduction lattice-reduction lll-reduction numpy python python-library python3
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https://github.com/suryavamsi-p/youtube-trends-and-tracks-engagement
This project aims to leverage Python’s robust visualization libraries to derive deep insights from YouTube video trends data. Using the 'youtube.csv' dataset, this analysis explores the dynamics of YouTube video attributes such as views, likes, dislikes, and comment counts to understand user engagement and their emotional insights.
dash datavisualization hypothesis-testing matplotlib normality-test numpy pandas python3 scipy seaborn visual-studio-code
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https://github.com/onemoredavid/python-like-a-boss
This is where I stash my Python study material.
data data-analysis data-engineering data-science data-visualization datascience ipynb ipynb-jupyter-notebook ipynb-notebook numpy pandas python python3
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https://github.com/harmanveer-2546/sentiment-analysis-of-amazon-fine-food
For this project, machine learning algorithms are used on amazon fine food reviews dataset to analyze if the given review is a positive review or a negative review.
mathplotlib nlp-machine-learning ntlk numpy pandas pipeline python roberta-model seaborn transformer vader-sentiment-analysis
Last synced: 09 Apr 2026
https://github.com/lemonsoda9013/easy-watermark-tool
A batch image watermarking tool based on Python and Tkinter.
batch-processing gui image-processing numpy pillow python tkinter watermark
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https://github.com/mhmudfzli/loan-approval-prediction
This project demonstrates a comprehensive approach to solving a regression problem using various machine learning models. The notebook includes: Data Preprocessing, Exploratory Data Analysis (EDA), Model Training, Hyperparameter Tuning, Model Evaluation, Feature Importance
automl catboost numpy pandas python scikit-learn seaborn
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https://github.com/praju-1/data_science_projects
It contains the necessary code, datasets, and documentation to understand, replicate, and build upon the project's findings and methodologies.
data-science datasets deep-learning exploratory-data-analysis machine-learning matplotlib numpy pandas predictive-analytics python seaborn sklearn statistics visualization
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https://github.com/hansalemaos/numpy_choices
Some useful np.random functions
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https://github.com/anas436/loan-case-will-be-paid-off-or-not-prediction-using-classification-with-python
decision-trees f1-score ibm-watson itertools jaccard-score knearest-neighbor-algorithm log-loss logistic-regression matplotlib-pyplot numpy pandas python3 scikit-learn sklearn support-vector-machines
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https://github.com/hac8hi/ppgmonitoring
A PyQt generated app who display PPG signal, heart rate and breath rate
numpy pca ppg ppg-signal principal-component-analysis pyqt5 pyqtgraph scipy signal-analysis signal-processing
Last synced: 06 May 2026
https://github.com/natiellitorres/python-data-science-alura
Repositório contendo meus estudos e projetos realizados durante o curso de Python para Data Science da Alura. Inclui notebooks, datasets e análises aplicadas com bibliotecas como Pandas, NumPy, Matplotlib, entre outras.
data-science jupyter-notebook matplotlib numpy pandas python
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https://github.com/lorenzorottigni/ml-yelp-reviews
Machine Learning python bootcamp: natural language processing on Yelp reviews
machine-learning nlp numpy pandas python scikit-learn seaborn
Last synced: 08 Apr 2026
https://github.com/singhvishal003/email-spam-detector-model
Email Spam Detector model to detect spam messages.
Last synced: 08 Apr 2026
https://github.com/amardeepsingh-06/smart_attendance_system
The Smart Attendance System is designed to automate the attendance process using facial recognition. Traditional methods of taking attendance can be time-consuming and prone to errors. This project aims to streamline the process by leveraging computer vision technology, allowing for efficient, contactless, and accurate attendance tracking.
asgiref django mysql numpy opencv pillow-library python sqlparse
Last synced: 05 Apr 2026
https://github.com/dennis-mureti/final-data-analysis-data-science
African financial crisis data analysis
machine-learning matplotlib numpy pandas python seaborn
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https://github.com/abhishekbagdiya01/movies-recommendation-system
This repository contains the code for a movie recommendation system built using Jupyter Notebook.
aiml jupyter-notebook numpy pandas python scikit-learn
Last synced: 08 Apr 2026
https://github.com/valmir-unicap/inteligencia-artificial
Disciplina de Inteligência Artificial
linear-regression logistic-regression matplotlib numpy pandas python tensorflow
Last synced: 09 Apr 2026
https://github.com/rkschroeder/portfolio
This repository contains a data science project.
matplotlib numpy pandas sckit-learn seaborn
Last synced: 17 Feb 2026
https://github.com/ahmedabdalkreem/sentiment-analysis
This project performs sentiment analysis on a Twitter dataset, aiming to classify tweets into positive, negative, or neutral sentiments. Sentiment analysis is crucial for understanding public opinion on various topics, brands, or events based on social media data.
bert-model lematization matplotlib nlp nltk numpy pandas python3 sentiment-analysis stopwords streamlit
Last synced: 08 Apr 2026
https://github.com/ricomeetsworld/ml-roadmap
Opinionated roadmap to machine learning in 2023
conda huggingface machine-learning matplotlib numpy pandas python pytorch
Last synced: 06 Apr 2025
https://github.com/jaewonson37/neural_networks_and_deep_learning1
adam-optimizer backward-propagation cost-functions forward-propagation gpt gredient-decent machine-translation momentum multihead-attention multilayer-perceptrons neural-network-training neural-style-transfer numpy rmsprop xor-logical-operator
Last synced: 21 May 2026
https://github.com/mr-chang95/datascience_airbnb
Data Science Project for Udacity's Data Scientist Program. Using Python in Jupyter Notebook.
airbnb data-analysis data-science data-visualization jupyter-notebook numpy pandas python sklearn
Last synced: 08 Apr 2026
https://github.com/kkKaan/tensor-library-403-hw1
A numpy like library for tensor (gergen) operations.
deep-learning numpy python tensor
Last synced: 09 Sep 2025
https://github.com/marknature/opencv-bootcamp
If you are looking to take your first steps towards learning Computer Vision and AI using OpenCV, this is the best OpenCV course to jumpstart your career.
anaconda computer-vision cv2-library ffmpeg jupyter-notebook matplotlib numpy opencv os urllib zipfile
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https://github.com/night-fury-me/deep-learning-fau
A repository that contains implementation of DNN, CNN and RNN from Scracth using numpy only. ResNet implementation using PyTorch
cnn deep-learning dnn machine-learning numpy pytorch rnn
Last synced: 10 Jul 2025
https://github.com/abhishek-k-git/feature-engineering-using-stock-exchange-data
Creating quantitative trading strategies requires historical and real-time data and involves comparing models against future returns post-training.
lightgbm matplotlib numpy pandas plotly seaborn
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https://github.com/wisskirchenj/matrix-processor
Python app to process matrices using numpy
matrix-calculations numpy python3
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https://github.com/stkisengese/numpy-data-fundamentals
A comprehensive collection of NumPy exercises covering array manipulation, slicing, broadcasting, random data generation, and real-world data analysis applications.
data data-analysis numpy pre-processing
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https://github.com/klaudiozdrava/image-analysis
A Python project that was developed as a university assignment and the goal is to colorize an grayscale image using machine learning techniques.
colorization image-processing kmeans-clustering numpy svm
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https://github.com/cr00z/dlschool_adv
Репозиторий для сдачи домашних заданий на первом семестре продвинутого потока курса "Deep Learning" Школы глубокого обучения ФПМИ МФТИ
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https://github.com/f-ssemwanga/handwriting_cnn
Handwritting Recongnition CNN
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This a full web application to predict the credit score of clients plus I did many visulizations to express many insights in chart
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Data Analyst Python Project for Portfolio
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https://github.com/stephnna/my_image_classifier
A deep learning-based image classifier built with PyTorch, designed to identify various flower species using architectures like VGG16, ResNet101, and AlexNet. This project leverages transfer learning for improved performance, checkpointing for seamless training, and supports both CPU and GPU devices. Perfect for exploring deep learning models and i
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The Grape Quality Prediction project uses machine learning to predict the quality of grapes based on chemical properties like acidity, sugar content, and alcohol levels. It applies regression models to forecast the quality score, helping in wine production and quality assessment.
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https://github.com/crispengari/effects-of-covid19-on-trade
This repository visulises the effects of covid19 on trade within these years:
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https://github.com/salamanderxing/jax-gaussian-bayes
A Multivariate Gaussian Bayes classifier written using JAX
cifar10 gaussian-bayesian-processes gaussian-naive-bayes jax multivariate-gaussian naive-bayes-classifier numpy xla
Last synced: 27 Apr 2026
https://github.com/sutterseba/des-python
A simple DES implementation in Python
Last synced: 15 Jun 2026
https://github.com/caioandrian/data-analyst-procon
Análise dos dados do Procon, período de 2013 à 2016.
Last synced: 11 Apr 2026
https://github.com/shrutiii1109/diwali-sales-analysis-through-python
Data analysis project on Diwali sales using Python (Pandas, NumPy, Matplotlib, Seaborn). The goal is to analyze customer behavior, identify sales trends, and provide insights to improve marketing and business strategies.
data-analysis jupyer-notebook matplotlib numpy pandas python seaborn
Last synced: 30 Apr 2026
https://github.com/v41bh4vr4jput/data-analysis-with-python
This repository is a comprehensive collection of data analysis projects and tutorials using Python's most powerful libraries: NumPy, Pandas, Seaborn, and Matplotlib. It is designed to help you explore, clean, visualize, and analyze data efficiently.
api data data-analysis data-visualization matplotlib numpy pandas python sakila-db seaborn
Last synced: 09 Apr 2026
https://github.com/sahilmaurya28/youtube-data-analysis
YouTube Data Analysis using Python — uncovering trends, engagement patterns, and correlations between likes, comments, views, and categories to understand what drives content success.
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Last synced: 13 Apr 2026
https://github.com/om-kanabar/sciencefair2025
This is my project for Chicago Public School's student science fair 2025.
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Last synced: 03 Nov 2025
https://github.com/emredemirbas/google-playstore-eda
Exploratory Data Analysis (EDA) of the Google Play Store dataset — examining trends in app ratings, categories, pricing, and user engagement using Python and LaTeX.
exploratory-data-analysis matplotlib numpy pandas python seaborn
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https://github.com/nskamaleshmani/exoseeker
🌌 Discover and analyze exoplanets with ExoSeeker, a tool designed for efficient world-hunting using Python and data visualization techniques.
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https://github.com/rajesh9943/web-scraping-analysis-of-top-us-company-revenue-growth-in-2023
Explore the landscape of US business growth in 2023 with our dynamic project, 'Web Scraping for US 2023 Revenue Growth.' Utilizing advanced web scraping techniques, we unveil insights into the top companies driving economic expansion.
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https://github.com/shreedata/data-analysis-using-python-libraries-
The COVID-19 pandemic has significantly impacted India, necessitating a detailed analysis of the virus’s spread within the country. In this project, we explore an India-specific COVID-19 dataset, leveraging Python libraries such as Pandas, NumPy, Matplotlib, and Seaborn.
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https://github.com/rahul-404/full_stack_data_science_masters
Welcome to the repository for the course "Full Stack Data Science Masters". This repository is designed to accompany the course and provide resources, exercises, and projects related to the study of data science techniques.
computer-vision data-science database deep-learning exploratory-data-analysis flask machine-learning natural-language-processing numpy pandas python statistics time-series visualization
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https://github.com/utkarsh251106/tracking-with-yolo
This project uses YOLOv8 and DeepSORT to detect and track children and adults in video streams. It assigns unique IDs, handles re-tracking after occlusions, and outputs an annotated video with labeled bounding boxes.
computer-vision deep-learning deepsort machine-learning numpy opencv python torch ultralytics yolov8
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https://github.com/vlasdislav/flakevision
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Last synced: 09 Apr 2026
https://github.com/ramyacp14/salesforecasting
Forecasts future sales for a retail company using time series analysis with Facebook Prophet. The project involves data preprocessing, exploratory data analysis (EDA), and forecasting with holiday effects considered.
data-preprocessing data-visualization exploratory-data-analysis fbprophet machine-learning matplotlib model-evaluation numpy pandas python seaborn time-series-forecasting
Last synced: 06 Apr 2026
https://github.com/RedInfinityPro/RedditBot
Rating: (7/10) This script collects, preprocesses, trains models, processes images, and handles files, handling data from Reddit, image processing, and file handling.
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Contrast improvements on PIL
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A Data-Driven Approach to Food Security and Supermarket Accessibility
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https://github.com/nishthasharma-22/binary-black-hole-merger-gravitational-waves-simulation
Repository of all astronomy related projects, including: Gravitational Waves graph from binary black hole merger
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Last synced: 05 May 2026