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/tigureis/aula_deployment
This project not only demonstrates a machine learning pipeline but also serves as a template for deploying models into production. By leveraging the project's structure and code, you can streamline the process of deploying your own machine learning models.
Last synced: 11 Apr 2026
https://github.com/yahiazakaria445/sentiment-analysis-using-lstm
A Sentiment analysis NLP project using LSTM model
matplotlib nltk numpy pandas scikit-learn seaborn tensorflow
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https://github.com/bharath-tars/streamlit_diabsynth
Predictive Health Analytics for Diabetic Risk Assessment and Personalized Reporting WebApp using Streamlit
deeplearning mahine-learning numpy onrender-deploy pandas seaborn streamlit
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https://github.com/no0bitah/pdf-highlight-extractor
A Python tool for extracting highlighted text from PDF files while preserving formatting attributes (headers, bold, italic) and removing unwanted line breaks and page breaks. Perfect for integrating with content management systems.
automation crm documentation-tool numpy opencv pdf pdf-document-processor pillow pymupdf pypdfium2 python3 scrapping
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https://github.com/m0saan/python-for-data-analysis
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney,
data-analysis data-science ipython-notebook machine-learning matplotlib numpy pandas python
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https://github.com/andremenezesds/machine_learning_test
Testing among various Machine Learning models and parameters, in order to further study their behaviour for Classification, Regression and Clustering analysis.
classification-models clustering-models machine-learning numpy pandas regression-models sklearn
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https://github.com/flexthink/matricize
A convenience library to convert between pure Python objects and their vectorized representations
data machine-learning numpy python
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https://github.com/ishaj72/analysis_model2
Dataset analysis model using matplotlib and other libraries
machine-learning matplotlib numpy pandas
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https://github.com/kingsley-ezenwaka/mean-var-std
This is a (mini) Python project, completed as part of the requirements for the Data Analysis with Python certification from freeCodeCamp.com.
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https://github.com/baranovserv/h-s-diagram
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diagrams json matplotlib numpy parser requests
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https://github.com/doondigangadhar30/ghiblify-animeganv3
A creative tool that generates beautiful Ghibli-style artwork from your image input.
colab-notebook jupyter-notebook numpy onnxruntime opencv python
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https://github.com/aadrianleo/book-recommendation-system
Book Recommender System using the Book-Crossing dataset. Compares content-based (TF-IDF + cosine similarity) and collaborative filtering (SVD) methods for book recommendations. Includes data cleaning, EDA, and model evaluation (Precision@5, RMSE) in Python.
artificial-intelligence collaborative-filtering content-based-filtering cosine-similarity data-preprocessing jupyter jupyter-notebook machine-learning matrix-factorization numpy pandas predictive-modeling python3 recommendation-system recommender-system scikit-learn sckit-surprise
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https://github.com/blacksujit/neural_network_using_numpy_and_math
Inspired from a repo . i have implemented an some ground level maths and logic . In this neural network no tensorflow , pytorch is used it is just prepared by using numpy and some logical math.
algorithmic-composition basics-of-python calculus criticalthinking innovation machine-learning maths neural-network neuralnetworkusingnumpy numpy purebasics
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https://github.com/dane-meister/machine-learning-algos
Repository of several ML algorithms implemented for different environments and robot control vectors.
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https://github.com/badranalyst/movie-correlation-analysis-in-python
This project analyzes movie data correlations using Python libraries like Pandas, NumPy, Seaborn, and Matplotlib. It examines relationships between attributes such as ratings, genres, and box office performance to uncover trends that inform recommendations and enhance understanding of movie success factors.
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https://github.com/bhavna-kale/cars-eda-project
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https://github.com/raduldev/biopython
Biopython Record Work and few extra coding excercise
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https://github.com/venkat-0706/titanic-survival-prediction
A machine learning project predicting Titanic passenger survival using data preprocessing, feature engineering, and model optimization with Logistic Regression, Random Forest, and XGBoost.
classification-report confusion-matrix gridsearchcv matplotlib numpy onehot-encoder pandas sckit-learn seaborn train-test-split xgboost
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https://github.com/alexbie98/bietorch
neural nets with numpy
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https://github.com/chicoyildiz/python-raytracing-demo
Interactive Python ray tracer (numpy + pygame) with a ceiling camera, dynamic resolution scaling, and a glowing bouncing fireball.
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https://github.com/fandredev/ml-my-guide
my own annotations about ML/DS using pandas, matplotlib, numpy, scikit learn
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https://github.com/layonj3000/libras-recognition
This project is a Brazilian Sign Language (LIBRAS) recognition system that utilizes computer vision and machine learning techniques.
computer-vision libras mediapipe numpy opencv python random-forest-classifier
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https://github.com/shaikats/python-assignment
Simulation and Modeling Lab assignments using Python, NumPy, Matplotlib, and Jupyter Notebook.
jupyter-notebook matplotlib numpy python simulation-modeling
Last synced: 09 May 2026
https://github.com/nahiyanhkhan/data-processing-and-visualization
Loan Data Processing using Python's numpy and pandas libraries. For data visualization, matplotlib and seaborn are used.
data-analysis-python data-visualization matplotlib numpy pandas seaborn
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https://github.com/psycho-poodle/simple_rnn_imdb
This repository contains a simple web application for sentiment analysis of movie reviews using a pre-trained RNN model. The application is built with TensorFlow and Streamlit, making it easy to use and deploy.
numpy python streamlit tensorflow
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https://github.com/thiagonunesbatista/deuteranopia-simulator-computer-vision-python
Live color detection with a webcam and a simulation of deuteranopia's color perception effects.
computer-vision numpy opencv python
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https://github.com/ebrahimar/ai-voice-cloner-xtts-v2
A Streamlit web app for AI-powered voice cloning using Coqui XTTS v2. Record or upload reference voices, clone speech in multiple languages, and generate natural audio outputs.
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https://github.com/prathicashettym/machinelearningalgorithms
Contains mini projects and implementation using ML algorithms
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Scrapes IMDb's movie database and outputs the data to CSV files.
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https://github.com/mzayles/data-preparation.py
Curso Programação em Python para Data Science | Preparando e tratando dados de uma base de vendas com Pandas e NumPy.
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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/kaustavmodak/business-aided-customer-feedback-assessment-system
A Streamlit-based sentiment analysis app that classifies customer reviews into Positive, Neutral, or Negative using a pre-trained ML mode
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https://github.com/jonad/finding_donors
Predicting income with UCI Census Income Dataset using supervised machine learning algorithms
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Everything Python
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The project analyzes the performance of Hold Baggage Screening X-ray Machines, identifying trends in system load, bottlenecks, and operator efficiency. Using an interactive Streamlit app, users can explore data-driven insights to optimize airport screening processes and improve overall operational performance.
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Last synced: 03 May 2026
https://github.com/coderooz/handwritten_digit_recognition
This project uses a Convolutional Neural Network (CNN) to recognize handwritten digits from the MNIST dataset. The model is built using TensorFlow and Keras.
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https://github.com/takana671/noisetexture
Generating noise texture images.
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https://github.com/mairagalvao/final_grades
An analysis of the final grades of students using Python
matplotlib numpy pandas python3
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https://github.com/muhammad-rebaal/eda-with-python-and-pandas
Explore, Analyze, and Visualize Data with Python and Pandas: Dive into the world of data analysis and visualization using Python and Pandas with this repository. Discover valuable insights, clean and preprocess your data, and create stunning visualizations to make data-driven decisions.
calmap matplotlib numpy pandas python python3 seaborn
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https://github.com/hmourad2023/tweets_sentiments_emotions_analysis
Les réseaux sociaux, et en particulier Twitter, sont des plateformes essentielles où les utilisateurs expriment leurs sentiments et émotions au quotidien. Analyser les tweets peut fournir des informations précieuses sur l’humeur collective et les préoccupations des gens. Ce projet utilise un dataset de tweets disponible sur Kaggle
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https://github.com/alphan26/breastcancerclassification
This project involves a binary classification problem where we applied PyTorch to detect breast cancer.
matplotlib numpy pandas python pytorch
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https://github.com/priyanshul28/exercise_pandas
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 matplotlib numpy pandas
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https://github.com/chuvalniy/tulia
Contains self-implemented Machine Learning algorithms using only numpy.
boosting from-scratch knn learning logistic-regression machine ml numpy python random-forest regression sklearn testing xgboost
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https://github.com/dharma-acha/resnet18_imageclassification_cnn
In this part of the project, we implement ResNet-18 from scratch using PyTorch and train it on an image dataset to achieve over 75% accuracy. We apply techniques to prevent overfitting and optimize performance, aiming for an accuracy of 80% or higher.
matplotlib numpy python3 pytorch scikit-learn seaborn
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https://github.com/tanmay-312/pacman-game-python
"Embark on a nostalgic journey with my Python Pac-Man game! 🎮🕹️ Crafted using pygame, tcod, numpy, and enum libraries, it's a modern twist on a classic. Navigate the maze, chomp pellets, and evade ghosts in this retro-inspired adventure! 🚀👻 #PythonGameDev #PacManRevival #ClassicGaming"
enum game game-development gamedev numpy pygame pygame-games python python-3 python3 tcod
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https://github.com/sohamrider786/house_price_predictor
A machine learning project to predict house prices based on various property features using advanced regression techniques. This project demonstrates end-to-end model development, including data preprocessing, feature engineering, model training, evaluation, and visualization.
machine-learning matplotlib-pyplot numpy pandas random-forest-regression sklearn-library
Last synced: 04 May 2026
https://github.com/anas436/ibm-cloud-data-analysis-of-cars
Exploratory Data Analysis of Cars in Python
ibmwatson matplotlib numpy pandas python3 seaborn
Last synced: 04 May 2026
https://github.com/khushi130404/gradient_realm
Gradient_Realm is a Python project exploring regression techniques and optimization methods like Regularization, Batch, Stochastic, and Mini-batch Gradient Descent. It uses scikit-learn and custom implementations for hands-on learning.
batch-gradient-descent mini-batch-gradient-descent numpy stochastic-gradient-descent
Last synced: 14 Jun 2026
https://github.com/winterwind/covid19_transfer_learning
A larger data science project that uses a 2D Convolutional Neural Network to determine the likelyhood of having covid-19 via CT images
2d-convolution adam-optimizer binary-classification cnn convolutional-neural-networks ct-images ct-scans eigencam gradcam heatmap jupyter-notebook matplotlib matplotlib-pyplot neural-networks numpy pyplot python pytorch resnet-18 transfer-learning
Last synced: 04 May 2026
https://github.com/pomxark/smartdictor_0.1_nuitka_cleer
Распознание и озвучивание голосовым движком текста с экрана.
cv2 fuzzywuzzy kivy matplotlib-pyplot nuitka numpy pil pyautogui pyqt5 pytesseract pyttsx3 scipy silero simpleaudio torch
Last synced: 04 May 2026
https://github.com/gnikit/fileio
A template allowing to read multiple columns of tab or space delimited files. Similar functionality to numpy.loadtxt()
Last synced: 04 May 2026
https://github.com/adi3042/sensor-fault-detection
🔍⚙️ 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! 🚨🔧 SensorFaultTech
classification css datetime fault-detection flask functools html ipykernel jupternotebook machine-learning numpy pandas python3 readme regression scikit-learn sensor setuptools venv
Last synced: 11 Apr 2026
https://github.com/damisparks/become_data_analyst
Are you new to Data Analysis ? Here you will find simple notebook that will help through your journey. These are personal projects I work on and still working.
data data-analysis data-visualization matplotlib numpy pandas-tutorial
Last synced: 04 May 2026
https://github.com/ola-kaznowska/median-statistic
A program that calculates the median statistic. Program written in Python 3.13.1 with NumPy library during Machine Learning course.
mathematics numpy python python3
Last synced: 04 May 2026
https://github.com/ersinerzurum/monai
2D-3D segmentation using monai
artificial-intelligence cv2 deep-learning ipynb jupiter-notebook mathplotlib monai numpy os python pytorch segmentation
Last synced: 04 May 2026
https://github.com/miozilla/fescarefine
fescarefine :skier::mount_fuji::guide_dog: : Refine & Test ML Models # Features Scaling # Normalization # Datasets
gradient-descent linear-regression matplotlib model-testing mse norm numpy ols overfit pandas scatter seaborn sklearn standardization statsmodels underfit
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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/raduldev/datasciencepython
Interview Task From CSIR-IGIB, Delhi & maps for journal
biopython colab-notebook counter jupyter-notebook matplotlib numpy pandas
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https://github.com/omogbolahan94/handwashing-history-analysis
Data Wrangling and Analytics
matplotlib numpy pandas plotly scipy seaborn statistical-analysis
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https://github.com/sweta-kaundilya/python_for_data_analysis
Learning Python and all the relevant libraries in python for Data field.
cufflinks data-analysis data-science matplotlib numpy pandas plotly python seaborn
Last synced: 04 May 2026
https://github.com/dulajkavinda/numpy-ml
🔢 Calculations with NumPy library.
calculations jupyter-notebook machine-learning matrices numpy numpy-arrays python
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Exploratory Data Analysis on Titanic Dataset
jupyter-notebook numpy pandas python3
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https://github.com/florasteve/ml-foundations-day1
Day-1 ML foundations focused on linear algebra: vectors, dot products, norms, angles, projections, and basic matrix operations—implemented in a Jupyter notebook with NumPy/Matplotlib, clear 2D visuals, a self-quiz, and a brief reflection. Emphasizes how these math primitives map to core ML/AI ideas (similarity, least squares, geometric transforms).
ai data-science education jupyter-notebook linear-algebra machine-learning matplotlib numpy python3 terminal-mac tutorial visualization vscode
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https://github.com/hyperplasma/olympic-visualization-analysis
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data-analysis data-visualization matplotlib numpy pandas python wordcloud
Last synced: 04 May 2026
https://github.com/linsanity03/algorithmic_trading
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jupyter-notebook matplotlib-pyplot numpy pandas
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https://github.com/silbena/gibbssampler
Gibbs Sampler for a simple mortgage model.
gibbs-sampler gibbs-sampling numpy python
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https://github.com/nordic96/lanedetection
Lane Detection Module using OpenCv and Python for educational purpose.
computer-vision lane-detection matplotlib-pyplot numpy opencv python3
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https://github.com/abhijeet-bhambere/exploratory_data_analysis
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https://github.com/pedasoft-consult/product_purchase_prediction
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machine-learning matplotlib numpy pandas python seaborn sklearn
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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.
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https://github.com/0nom4d/308reedpipes
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https://github.com/omarsaad21/shopping-cart-eda
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https://github.com/dmalexx/lab1_computervision
Computer Vision Intro
matplotlib matplotlib-python numpy opencv rgb
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https://github.com/rutujaingole/jailbreaking-deep-models
This repository contains the codebase for Jailbreaking Deep Models, which investigates the vulnerability of deep convolutional neural networks to adversarial attacks. The project systematically implements and analyzes Fast Gradient Sign Method (FGSM), Projected Gradient Descent (PGD), and localized patch-based attacks on the pretrained
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Last synced: 14 May 2026
https://github.com/manuethomas/credit-default-risk-analysis-eda
This repository contains the detailed EDA analysis of Home Credit Group Dataset. The analysis aims to find demographic and financial factors associated with higher or lower default risks, providing actionable insights for risk mitigation and improved lending practices
bivariate-analysis correlation-analysis data-preprocessing exploratory-data-analysis exploratory-data-visualizations matplotlib numpy pandas seaborn univariate-analysis
Last synced: 04 May 2026
https://github.com/abhinav330/911-emergency-calls-analysis
This Python Notebook analyzes emergency call data from the '911.csv' dataset. It uses various data visualization techniques to explore and gain insights into the emergency call data, including the types of calls, reasons for calls, and call patterns over time.
data-analysis data-science data-visualization eda exploratory-data-analysis exploratory-data-visualizations numpy pandas python
Last synced: 09 Jun 2026
https://github.com/navindafernando/character-recognition
Sinhala Character Recognition using KNN :coffee:
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Last synced: 09 May 2026
https://github.com/vadimkantorov/fasttsv
TSV parser for Python in pure vectorized NumPy code
numpy parsing simd tsv vectorized-code
Last synced: 09 May 2026
https://github.com/katalekoweb/full-python-course-for-ai
Full python curse for AI
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https://github.com/youssefyaser/scrape-the-imdb-site-for-the-top-250-movies
Web scraping the top 250 movies in IMDB site.
data-analysis numpy pandas python
Last synced: 04 May 2026
https://github.com/gsaini/streamlit-ui-getting-started
Streamlit is an open-source Python framework for data scientists and AI/ML engineers to deliver dynamic data apps with only a few lines of code. Build and deploy powerful data apps in minutes. Let's get started!
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https://github.com/dyrits/parite
OPENCLASSROOMS | PERFECTIONNEZ-VOUS EN PYTHON
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https://github.com/surayasumona/test_bowlers_analysis
Data Analysis with Python
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https://github.com/alphan26/optimal-logistics-locator
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https://github.com/stella4444/linear-regression
learning about linear regression (currently a work in progress) ~ working with data
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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 Aurélien Géron.
ai artificial-intelligence keras machine-learning matpolotlib numpy pandas scikit-learn tensorflow
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https://github.com/kaguya163/marketing_campaigns
Анализ маркетинговой эффективности в спортивном ритейле.
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https://github.com/jacobpclouse/526-hw-3-sss
ICSI 526 Homework 3 - Spring 2023 - Shamir Secret Sharing
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https://github.com/jokoum/sentiment-classification
Multi-layer Perceptron classification of product reviews written in Greek language
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Last synced: 05 May 2026
https://github.com/thekartikeyamishra/object-detection-for-retailer
The AI Customer Feedback Summarizer is a Python-based tool that uses extractive summarization techniques to provide concise summaries of customer feedback.
ai computer-vision cv2 numpy pillow python torch torchvision yolov5
Last synced: 05 May 2026
https://github.com/shwetapardhi/assignment-1-q9_a--basic-statistics-level-1
Q9) Calculate Skewness, Kurtosis & draw inferences on the following data Cars speed and distance Use Q9_a.csv
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Python reference code for data visualization, machine learning and SQL
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