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/kaladabrio2020/calculusnumerics
Trabalho da cadeira de Métodos Numérico I
metodos-numericos numpy python tkinter-gui
Last synced: 18 May 2026
https://github.com/mpbeatriz/santander_coders_2024
Repositório dos exercícios e projetos do curso de Engenharia de Dados da Ada em parceria com o Santander (em andamento).
apache-kafka apache-spark api data-engineering data-extraction fastapi flask numpy oop pandas python webhooks
Last synced: 10 Apr 2026
https://github.com/ledsouza/machine-learning-introducao-a-classificacao-com-sklearn
Explorar classificação por machine learning, analisando algoritmos em exemplos cotidianos, comparando técnicas e entendendo o aprendizado de máquina por trás, com abordagem científica.
graphviz matplotlib numpy pandas python seaborn sklearn
Last synced: 10 Apr 2026
https://github.com/rishikesh-jadhav/machine-learning-practice-projects
This repository contains my end to end ML practice projects as a part of the ML zero to mastery course by Daniel Bourke and Andrei Neagoie
classification data-science data-visualization dataanalysis deep-learning hadoop jupyter-notebooks machine-learning neural-network numpy pandas pyspark python pytorch regression scikit-learn supervised-learning tensorflow time-series transfer-learning
Last synced: 10 Apr 2026
https://github.com/beyzabasarir/northwind-traders-analysis
Northwind dataset analysis using PostgreSQL, Python, and Power BI. Focused on sales, customers, shipping, and performance insights.
dashboard data-analysis data-visualization jupyter-notebook matplotlib numpy pandas postgresql powerbi python seaborn
Last synced: 10 Apr 2026
https://github.com/giacomolat/classification-of-exotic-fruits
The goal of this project is to develop an automatic classification system for exotic fruits based on numerical features using the K-nearest neighbors (K-NN) algorithm
anomalies-detection auc-roc-curve confusion-matrix gridsearchcv hold-out-cross-validation knn knn-classification machine-learning matplotlib matplotlib-pyplot multiclass-classification normalization-techniques numpy pandas python scikit-learn seaborn stratified-cross-validation
Last synced: 10 Apr 2026
https://github.com/trivediayush/Accident-and-Drowsiness-Detection
Our college minor project is a comprehensive solution aimed at enhancing road safety. The project comprises two main components: an Accident Detection Model and a Real-Time Driver Drowsiness System.
accident-detection accidents-analysis college-project cvzone dlib-face-detection dlib-face-recognition face-detection face-recognition imutils minor-project numpy opencv pandas python python3 yolov8
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https://github.com/dhaase-de/dito
Yet another toolbox for the daily work with OpenCV under Python.
Last synced: 22 Aug 2025
https://github.com/oyebamiji-micheal/data-analysis-with-python-zero-to-pandas
This repository contains all assignments and project completed when I took a course, "Data Analysis with Python: Zero to Pandas", on Jovian
data-analysis numpy pandas python
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https://github.com/kunalshelke90/wine-quality-testing
This project is about creating a machine learning algorithm that can predict the quality of wine based on the given dataset. Different machine learning algorithms such as logistic regression, decision tree and random forest are used in this project.
eda feature-engineering flask machine-learning numpy pandas python
Last synced: 10 Apr 2026
https://github.com/gaurav-0211/seaborn-for-data-visualization
This Project aims to different plotting methods using seaborn for data Visualization.
data-visualization jupyter-notebook matplotlib numpy pandas-dataframe seaborn
Last synced: 20 Apr 2026
https://github.com/ahmedabdalkreem/covid-19
In this project we build complete project conatin tree part first part build deep leanring model using CNN second part build simple mobile app using Flutter and the last part is to connect mobile app with model using Flask API.
cnn dart deep-learning flask-api flutter matplotlib mobile-app numpy pandas python tensorflow
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https://github.com/ankman007/python-100-days-of-code
Daily logs of my progress and mini-projects made over the course of this challenge
100daysofpython backend-development bootstrap5 css3 flask game-development hacktoberfest html5 jinja matplotlib numpy pandas python python-gui selenium tkinter turtle web-development webscraping
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https://github.com/abideen-olawuwo/fraud-detection
A Fraud Prediction Model
kears logistic-regression matplotlib numpy pandas pickle scipy seaborn sklearn tensorflow
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https://github.com/marknature/machine-learning-intern
Machine Learning tasks involving the Titanic Dataset and Breast Cancer Wisconsin (Diagnostic) dataset
data-analysis github jupiter-notebook machine-learning matplotlib numpy pandas python scikit-learn sklearn
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https://github.com/balakrish001/python-course
The Python course provides a thorough foundation in Python programming, starting with core concepts and progressing to OOP. It covers essential libraries like NumPy and Pandas for data manipulation and analysis. You'll also learn how to send emails using Python's SMTP library and interact with APIs for real-world applications,
api numpy oops-in-python pandas problem-solving python smtp
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https://github.com/rotantos/ml-projects
Includes various ML projects created for educational purposes.
classification-model jupyter-notebook machine-learning numpy pandas python sklearn-library
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https://github.com/aymen016/cosmic-mystery-challenge-2912
"Explore the depths of space and unravel cosmic mysteries in the year 2912 with our Cosmic Mystery Challenge repository. Dive into data science adventures as you predict the fate of passengers aboard the Spaceship Titanic after a collision with a spacetime anomaly. Join us in reshaping history and saving lives across the universe!"
kaggle matplotlib matplotlib-pyplot numpy pandas pandas-dataframe python scikit-learn scikitlearn-machine-learning seaborn
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https://github.com/prince-pastakiya/human-resources-tableau-project
👥 Interactive Tableau dashboard for HR analytics — includes workforce overview, demographics, income analysis, and detailed employee records with full filtering.
chatgpt data-analysis data-visualization human-resources numpy python python-faker tableau-dashboards tableau-public
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https://github.com/kwasi-dankwa/game-sales
This project investigates why Nintendo’s global market share fluctuated between 2010–2016, identifies top-performing genres and regions, and builds predictive models to forecast sales and regional performance. It culminates in specific, actionable recommendations to grow market share.
business-intelligence gaming juptyernotebook-language matplotlib numpy pandas postgresql python3
Last synced: 09 Apr 2026
https://github.com/yousefmostafa125/image-processing
An interactive image processing web app built with Streamlit and OpenCV. The app allows users to upload an image, apply various processing steps, and download the results individually or as a ZIP file.
numpy opencv-python python streamlit
Last synced: 03 May 2026
https://github.com/sudarshanasrao/ee541-deep_learning-usc
USC graduate level Deep Learning course
cnn deep-learning mlp-networks neural-networks numpy python pytorch scipy
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https://github.com/jeniljani-4444/end-to-end-car-price-prediction-model
Predict car prices effortlessly using this machine learning model. Built with Python and Scikit-learn it analyzes features like mileage age brand and more to estimate accurate prices. Perfect for buyers sellers and dealerships.
machine-learning matplotlib numpy pandas python scikit-learn seaborn streamlit
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https://github.com/sc0v0ne/blueflix
Simple Application Recommend Movies and Tv Shows
csv k-means k-means-clustering kaggle movies numpy pandas python recommends-movies sklearn streamlit
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https://github.com/skywalkersam/python-101
Introduction to Python 3
bootcamp django flask jupyter-notebook matplotlib ml numpy pandas python-bootcamp python-development python-scripting python3 web-scraping
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https://github.com/sawaira-iqbal/data-visualization-project-on-car-sales-data
Explore Sales Data Visualization with Interactive Charts & Insights! 📊 Uncover trends and patterns to drive smarter automotive decisions.
bivariate-analysis data-science data-visualization interactive-visualizations matplotlib multivariate-analysis numpy plotly python seaborn univariate-analysis
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This project implements an AI-powered last-mile delivery optimization system using Python. It leverages graph-based route optimization, demand prediction, and cost analysis to improve delivery efficiency in urban areas.
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https://github.com/skmirajulislam/yolov3-object-tracker
OBJECT DETC YOLO DEEP LEARNING MODEL
convolutional-neural-networks cv2 numpy python3 yolov3
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https://github.com/gregoritsch3/project_spring_pendulum
A solution to the chaotic equations of motion of a spring pendulum using Lagrangean mechanics integrated through symbolic and numeric Python libraries (Sympy, Numpy, Scipy, Matplotlib, etc.).
lagrangian-mechanics maptlotlib numpy python scipy spring-pendulum sympy
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https://github.com/mays-m/deeplearning
In deep learning, with the help of data and training, neural networks are created and trained, which create better predictions than before with the help of neural networks.
anaconda artificial-intelligence conda-environment matplotlib neural-networks numpy pandas python3 tensorflow tensorflow-gpu transortfow-
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https://github.com/zenithclown/agine
Library for finding Nearest Neighbor or to find if two points on Earth have a Direct Line of Sight.
bearing bearing-calculations distance-calculation euclidean-distance geometry haversine manhattan-distance nearest-neighbor-search numpy pandas rasterio shapely
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Image processing and object detection using OpenCV, including color detection, smoothing, edge detection, and face detection with Haar cascades. 🚀
ipython-notebook numpy opencv python3
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An interactive HR Analytics Dashboard built using Tableau. Provides insights into workforce demographics, hiring trends, salary analysis, and employee records for data-driven decision-making.
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This OpenCV course is highly recommended for individuals seeking an introductory experience in Computer Vision and AI, and who wish to establish a strong foundation for their career development.
cnn-classification computer-vision cv2-library deeplearning-ai numpy opencv pytorch rnn-tensorflow
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A empresa contratou você para analisar dados de mais de 800 mil clientes, a maioria dos quais são inativos, ou seja, já cancelaram o serviço. O objetivo é entender os principais motivos desses cancelamentos e identificar as ações mais eficazes para reduzir esse número.
jupyter-notebook nbformat numpy openxyl pandas plotly python
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https://github.com/thiagohrcosta/machinelearning-temperature
A Small Machine Learning application leveraging Scikit-Learn and statistical learning to extract knowledge from data without explicit programming.
machine-learning numpy pandas python3 scikit-learn
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https://github.com/thatguychandan/adoptimization
This project implements an ad optimization system using a hybrid approach combining Thompson Sampling and Upper Confidence Bound (UCB) algorithms. The system learns to select the most effective ads based on user context and historical performance.
numpy pandas plotly python pytorch reinforcement-learning scikit-learn streamlit thompson-sampling upper-confidence-bound
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https://github.com/nirmit27/credit-risk-modeling
Classification and regression models for predicting the level of risk associated with extending credit to a borrower and the basic EPS amount respectively.
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This algorithm can generate and solve a random Sudoku Puzzle Board using Backtracking
backtracking numpy python sudoku-generator
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https://github.com/teslaproduuction/data_analiz_al
Прогнозирование курса алюминия с использованием модели ARIMAX
arimax csv django html-css-javascript numpy pandas python rss scipy sklearn sqlite yfinance-library
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https://github.com/null-none/pyignite
Simple deep learning library
deep-learning machine-learning ml numpy python
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https://github.com/sujal2004/stock-analysis-project
Stock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Finance.
jupyter-notebook matplotlib numpy pandas python stock-market
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https://github.com/saro0307/unemployment-analysis
This data science project delves into unemployment trends, using data analysis and machine learning to identify key factors and predict future joblessness rates, aiding policymakers and businesses in informed decision-making.
data-science datavisualization machine-learning matplotlib numpy pandas python seaborn skit-learn
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https://github.com/screamman-ssh/video-camera-to-ascii
Convert a video file or camera captured to display as text.
ascii camera-to-text computer numpy opencv pillow python python-3 video-to-text
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https://github.com/shreeparab1890/duplicate-question-predictor
The ipython notebook is working to build a model which will detect duplicate questions if two questions pair are given.
bag-of-words nlp nlp-machine-learning nltk numpy pandas python random-forest scikit-learn sklearn streamlit
Last synced: 10 Apr 2026
https://github.com/kostadinlambov/algorithmic-trading-bot
The project aims to evaluate the predictive performance of different machine learning (ML) algorithms for Bitcoin trading. The proposed trading strategy integrates key technical indicators, including the Relative Strength Index (RSI), Simple and Exponential Moving Averages, and the Moving Average Convergence Divergence (MACD).
lightgbm machine-learning matplotlib mlflow numpy optuna pandas pickle random-forest scikit-learn scipy seaborn statsmodels xgboost
Last synced: 05 Apr 2026
https://github.com/fatimaafzaal/car_price_prediction
Trains Random Forest and Gradient Boosting models to predict car prices based on user inputs for various car attributes, evaluating models and making predictions using the best-performing model.
car-price-prediction ensemble-learning gradient-boosting matplotlib numpy pandas random-forest regression regression-models scikit-learn seaborn
Last synced: 09 Apr 2026
https://github.com/ahmedabdalkreem/machine_learning_with_cv
In this project work to extraction feature from shapes to be input of machine learning model.
chaincode computer-vision contour-detection feature-extraction machine-learning matplotlib numpy open-cv pandas python sklearn svc-model
Last synced: 10 Apr 2026
https://github.com/abideen-olawuwo/airline-twitter-sentiment
A sentimental review on airline
numpy pandas python random-forest-classifier seaborn sklearn svm-classifier
Last synced: 10 Apr 2026
https://github.com/ravi-aratchige/spacefarer
What type of astronaut would you be?
astronaut astronauts flask jupyter jupyter-notebook machine-learning numpy pandas python scikit-learn space tailwind tailwindcss
Last synced: 10 Apr 2026
https://github.com/celineboutinon/la-faim-dans-le-monde
OpenClassrooms Data Analyst 2022-2023 - Projet 4
data-analysis data-analytics data-visualisation dataframes matplotlib-pyplot numpy pandas python seaborn
Last synced: 20 Jul 2025
https://github.com/roaajadaa/text-classification
Classify documents using custom naïve bayes model
matplotlib nlp nltk numpy pandas python sklearn
Last synced: 10 Apr 2026
https://github.com/lorenzorottigni/ml-iris-svm
Machine Learning python bootcamp: Support Vector Machines on iris flower dataset
ipynb machine-learning numpy pandas python scikit-learn seaborn support-vector-machines
Last synced: 10 Apr 2026
https://github.com/gaball1/alzheimer-prediction-ai
Alzheimer Prediction is a machine learning-based project designed to predict the likelihood of Alzheimer’s disease using clinical and imaging data. The project features an interactive web application built with Streamlit, enabling users to input key data, view predictions, and explore visualizations .
ai data-mining gradient-boosting jupyter-notebook logistic-regression logistic-regression-algorithm machine-learning matplotlib-python models numpy pandas python random-forest-classifier streamlit xgboost-classifier
Last synced: 11 Apr 2026
https://github.com/maximlevchenko/pandas-numpy-hippocampus-analysis
This project aims to analyze the differences in hippocampus size between two groups: "Unaffect" and "Affected" using pandas, numpy and matplotlib
jypyternotebook matplotlib numpy pandas pyreadr seaborn statsmodels
Last synced: 16 Apr 2026
https://github.com/bharath-tars/deeptumor
DeepTumor is a project aimed at developing a deep learning model with over 1 million parameters using TensorFlow. with automatic reporting feature
keras machine-learning numpy pandas pyhton tensorflow webdevelopment
Last synced: 10 Apr 2026
https://github.com/theanujsinha01/seoul-bike-sharing-demand-prediction
This project predicts the demand for bike-sharing services in Seoul using machine learning algorithms. It utilizes historical data and environmental factors to provide accurate predictions that can aid in resource optimization and planning.
data-cleaning data-science exploratory-data-analysis feature-engineering jupyter-notebook machine-learning matplotlib model numpy pandas seaborn
Last synced: 10 Apr 2026
https://github.com/sarincr/training-on-artificial-intelligence
Entree Academy 10 Days free training on Artificial Intelligence. Course will be conducted in a Blended learning way with Daily one hour online training and 3 hour project based training
artificial-intelligence artificial-intelligence-algorithms data-analysis data-science data-visualization decision-trees deep-learning deeplearning logistic-regression machine-learning machine-learning-algorithms machinelearning num numpy pandas regression scikit-learn scipy sklearn
Last synced: 10 Apr 2026
https://github.com/adi3042/credit-card-fault-detection
🔍💳 Secure Your Finances! Detect anomalies and safeguard transactions with our Credit Card Fault Detection system. Dive into cutting-edge classification techniques to identify fraud and protect financial data. Your journey to secure payments starts here! 🚨🔒 FraudDetectionTech
classification credit-card css datetime fault-detection flask functools html ipykernel jupyternotebooks machine-learning numpy pandas python3 readme scikit-learn setuptools venv
Last synced: 03 Apr 2026
https://github.com/paulo-santos-ds/previsao_total_corridas_taxi
Foi desenvolvido um modelo preditivo específico para atrair mais motoristas durante o horário de pico. Prever a quantidade de pedidos de táxi para a próxima hora.
matplotlib-pyplot numpy pandas python seaborn sklearn statsmodels
Last synced: 10 Apr 2026
https://github.com/pramodyasahan/car-safe-predictor
This repository contains a machine learning project that applies the K-Nearest Neighbors (KNN) classification algorithm to predict car safety ratings. The project uses a dataset of cars, with features such as buying price, maintenance cost, number of doors, persons, lug boot size, and safety.
classification k-nearest-neighbours machine-learning numpy pandas scikit-learn
Last synced: 10 Apr 2026
https://github.com/amiridk/machinelearning
machine-learning-notes
matplotlib-pyplot numpy pandas pyhton
Last synced: 04 May 2026
https://github.com/psavarmattas/covid19-dashboard
The goal of this project is not to build just another dashboard for Covid 19. But, to focus on collaborative plot ideas, and a mobile friendly UI/UX.
appseed bootstrap covid covid-19 css dashboard django docker html javascript json numpy plotly python travis-ci
Last synced: 10 Apr 2026
https://github.com/alyssonmach/machine-learning-com-python
Aplicações de Machine Learning usando a linguagem de programação Python.
ia keras-tensorflow machine-learning matplotlib numpy pandas programming python scikit-learn scipy
Last synced: 10 Apr 2026
https://github.com/yhunlu/data-analysis
Data Analysis
matplotlib numpy pandas seaborn
Last synced: 01 May 2026
https://github.com/the-developer-306/neural-style-transfer
Neural Style Transfer project leveraging TensorFlow and VGG19 to blend artistic styles with content images. Features include style and content initialization, multi-layer feature extraction, total variation loss, and post-processing enhancements like sharpening, upscaling, and brightening.
deep-learning image-processing neural-style-transfer numpy opencv-python post-processing tensorflow transfer-learning vgg19
Last synced: 01 May 2026
https://github.com/lorenzorottigni/ml-ecommerce
Machine Learning python bootcamp: linear regression on ecommerce dataset
ipynb linear-regression machine-learning numpy pandas python scikit-learn seaborn
Last synced: 07 Apr 2026
https://github.com/allanotieno254/pneumonia-xray-classification
This project is a Deep Learning-based Pneumonia classification system that allows medical staff to upload chest X-ray images and quickly determine whether a patient shows signs of pneumonia.
keras machine-learning numpy pandas pil pillow python streamlit streamlit-webapp
Last synced: 10 Apr 2026
https://github.com/sahilk12nayak/hyperspectral-corn-don-prediction-project
This project contains a machine learning pipeline for predicting DON (vomitoxin) concentration in corn samples using hyperspectral imaging data.
matplotlib numpy pandas python scikit-learn seaborn tensorflow
Last synced: 10 Apr 2026
https://github.com/davityak03/customer-churn-model-using-ann
ann elu keras leaky-relu matplotlib-pyplot numpy pandas prelu python seaborn
Last synced: 10 Apr 2026
https://github.com/dipto9999/ml_introduction
An Introduction to Machine Learning, primarily using Python scikit-learn library.
data-science decision-trees jupyter-notebook k-means-clustering k-nearest-neighbors linear-regression logistic-regression machine-learning machine-learning-algorithms matplotlib numpy pandas principal-component-analysis python random-forest scikit-learn seaborn support-vector-machines
Last synced: 10 Apr 2026
https://github.com/rokmark0/auto-feature-engineering
🐙 Automated feature engineering toolkit that creates, selects, and transforms features for machine learning on tabular data, boosting model accuracy and speeding workflows.
auto-feature-engineering automl aws-ec2 dask data-science explainable-ml feature-engineering featuretools machine-learning mahinelearning numpy pandas pandas-library python r sagemaker supervised-learning unsupervised-learning
Last synced: 10 Apr 2026
https://github.com/ai-lenok/moex-analyzer
A simple engine for analyzing Moscow Exchange securities
docker matplotlib numpy pandas python3
Last synced: 09 May 2026
https://github.com/rooneyrulz/cat-dog-classifier
Building a model using a convolutional neural network that well-classifying custom cat vs dog image data. including visualizations, data-preprocessing, future predictions, model-evaluation, identifying overfitting, and more.
artificial-intelligence convolutional-neural-networks data-preprocessing data-visualizations deep-learning keras matplotlib numpy pandas predictive-modeling python3 seaborn tensorflow2
Last synced: 10 Apr 2026
https://github.com/sgb31/csv-retrival-based-rag
Created a simple RAG system that lets users upload any CSV file and ask questions about it. It reads the data, finds the most relevant info, and uses an LLM to answer the query. Super handy for quickly exploring and understanding data through natural language.
generative-ai llm numpy pandas pydantic python3 sentence-transformers sklearn streamlit transformers
Last synced: 19 Jun 2026
https://github.com/sarmad426/python
Python mastery. OOP | Numpy | Pandas | Jupyter Notebook & more.
fastapi file-handling-in-python jupyter numpy oop pandas pytest python regex unit-tests
Last synced: 10 Apr 2026
https://github.com/cartabinaria/calcolo-numerico
Una raccolta di risorse per l'insegnamento di Calcolo numerico (02023) del Corso di Laurea in Informatica.
course maths numerical-methods numpy scipy uni
Last synced: 20 Jan 2026
https://github.com/adityakumarda/kmeans-web-analytics
Built with Python, Pandas, and Scikit-learn, this machine learning project uses K-Means to cluster website users by behavior. It reveals patterns in engagement and bounce, helping drive data-informed decisions.
cluster-analysis elbow-curves elbow-method elbow-plot jupyter-notebook kmeans-clustering machine-learning matplotlib numpy pandas python python3 relationship scikit-learn seaborn sklearn
Last synced: 10 Apr 2026
https://github.com/sadegh-khedry/titanic-survival-prediction
Predicting Titanic survival using neural networks.
conda-environment jupyter-notebook kersa matplotlib numpy pandas python seaborn sklea supervised-learning tensorflow titanic-kaggle
Last synced: 10 Apr 2026
https://github.com/sunnyrao07/stroke-risk-prediction
Predicting stroke risk using machine learning models based on healthcare and demographic data.
data-cleaning data-visualization decision-trees feature-engineering label-encoding matplotlib model-evaluation numpy outlier-detection pandas python random-forest scikit-learn seaborn standard-scaler
Last synced: 10 Apr 2026
https://github.com/smirnovlad/data-science-notebooks
A collection of various data analysis approaches
data-science deep-learning kaggle machine-learning numpy pandas pytorch
Last synced: 10 Apr 2026
https://github.com/amruta33/heart_disease_prediction
predict whether a person has a heart disease or not.
classification decision-trees gridsearchcv heart-disease hyperparameter-tuning male-female numpy pandas
Last synced: 30 Mar 2025
https://github.com/amruta33/housing_price_prediction
Consider a real estate company that has a dataset containing the prices of properties in the Delhi region. It wishes to use the data to optimise the sale prices of the properties based on important factors such as area, bedrooms, parking, etc.
linear-regression numpy pandas python rfe vif
Last synced: 28 Apr 2026
https://github.com/vijaykumarr1452/startup_success_predictor
This project demonstrates the use of Multiple Linear Regression to predict the profits of startups based on investment in R&D, Administration, and Marketing of dataset (50_Startups.csv)
machine-learning multi-linear-regression numpy pandas python regression rsquare-values scikit-learn
Last synced: 10 Apr 2026
https://github.com/shivammg/coursera-ml-numpy
Coursera Machine Learning course done using Python, NumPy, and Seaborn
machine-learning numpy python seaborn
Last synced: 09 May 2026
https://github.com/patilsukanya/assignment-3-hypothesis-testing
Used libraries and functions as follows:
alternate-hypothesis annova chi2-contingency contingency-analysis ftest hypothesis-testing norm null-hypothesis numpy numpy-arrays pandas pvalue python scipy significance-testing stats
Last synced: 10 Apr 2026
https://github.com/jol79/python_exercises
Solving interesting python exercises on different topics
matplotlib-pyplot numpy pandas python3 pythonexercises scikit-learn seaborn
Last synced: 10 Apr 2026
https://github.com/snigdho8869/clustering-projects
Repository for various clustering projects including mall customer segmentation and more. Explore data analysis and clustering techniques
cluster-analysis clustering clustering-algorithm customer-segmentation deep-learning gaussian-mixture-models hierarchical-clustering hierarchical-models kmeans-algorithm kmeans-clustering machine-learning mall-customer-segmentation mall-customers numpy pandas scikit-learn segmentation spectral-clustering tensorflow
Last synced: 10 Apr 2026
https://github.com/aniruddhakhedkar/eda_for_chinese_automotive_company_teclov_chinese
Exploratory_Data_Analysis_Python_Project_1
datavisualization duplicate-detection imputation-methods numpy outlier-removal pandas seaborn statistical-analysis
Last synced: 10 Apr 2026
https://github.com/anshpg/linearluminary
Greetings! I've developed a straightforward linear regression model from scratch to predict house prices in Bangalore. But before delving into coding, let me walk you through the algorithm's conceptualization. I considered various factors such as location, ocean proximity, plot size, finished state, and flat type.
algo linea mathematics matplotlib numpy pandas pyth
Last synced: 13 May 2026
https://github.com/jkosla/neural_network_from_scratch_numpy
Neural Network From Scratch in Python | Build a simple neural network from scratch using pure Python and NumPy. Learn about forward propagation, backpropagation, and training with gradient descent. Accompanies my Medium article.
ai aritificial-intelligence medium nerual-networks numpy python3 tutorial
Last synced: 10 Apr 2026
https://github.com/ryan-bendelson/2024-summer-research
This is Python code that I worked with during my summer 2024 research project involving quantum physics.
density-matrices kronecker-product linear-algebra miniconda3 numpy numpy-arrays partial-trace python quantum-information
Last synced: 16 Apr 2026
https://github.com/aneeshmurali-n/project-ml-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-analysis data-cleaning data-encoding data-exploration feature-scaling label-encoding matplotlib minmaxscaler numpy one-hot-encoding outlier-detection pandas standardscaler
Last synced: 02 May 2026
