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/chicoyildiz/python-raytracing-demo
Interactive Python ray tracer (numpy + pygame) with a ceiling camera, dynamic resolution scaling, and a glowing bouncing fireball.
numba numpy python python3 raytracing
Last synced: 14 May 2026
https://github.com/neelimabonangi/defect-detection-hot-rolling
Defect Detection in Hot Rolling Using Machine Learning
classification data-analysis data-science defect-detection jupyter-notebook machine-learning manufacturing numpy pandas predictive-analytics python random-forest scikit-learn
Last synced: 12 Jun 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!
codecov github-actions numpy pandas python streamlit unittest
Last synced: 14 Jun 2026
https://github.com/dino-kupinic/pocolocosolver
algorithmic solution with 3D visualization
algorithms numpy panda3d puzzle pytest python solver
Last synced: 19 Jun 2026
https://github.com/huzaifa12466/neuralnetscratch
A simple neural network implemented from scratch in Python using NumPy, trained on the Moons dataset
artificial-intelligence artificial-neural-networks backpropagation deep-learning forwardpropagation machine-learning matplotlib neural-network neural-networks numpy
Last synced: 23 Jun 2026
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
Last synced: 23 Jun 2026
https://github.com/seymencanates/pythonn
Here is my all personal educations , notes , basic apps I did. Here will be my backside for all supportive information about python I am gonna need.
django flask numpy pandas python3 scikitlearn-machine-learning tensorflow tkinter
Last synced: 08 Apr 2026
https://github.com/ashithapallath/comparison-of-ssd-sad-in-motion-estimation-of-video-coding
Course assignment for Algorithm and Massive Datasets comparing SAD and SSD for motion estimation. Includes analysis of accuracy, speed (Python/NumPy), and error sensitivity. Highlights trade-offs for speed-critical vs. precision-focused applications.
l1-normalization l2-norm numpy pytho video-cod
Last synced: 04 Apr 2025
https://github.com/barraharrison/seoul-bike-sharing
Performing EDA on a kaggle dataset to look at the distribution of Seoul's bike-sharing system
jupyterlab matplotlib numpy pandas python scikit-learn seaborn
Last synced: 23 Jul 2025
https://github.com/bassemhalim/webrtc-demo
webrtc demo using aiortc library
Last synced: 09 Apr 2026
https://github.com/priyankapriyadarshini50/autos_data_analysis
Data Analysis of auto dataset
matplotlib numpy pandas psycopg2 scikit-learn scipy seaborn
Last synced: 09 Apr 2026
https://github.com/kushalagarwalla/netflix-movie-data-analysis
🚀 Netflix Data Analytics Project 🎬📊 | Analyzed 9K+ movies to uncover insights on genres, popularity, votes & release trends. Includes EDA, KPIs & visualizations using Python (Pandas, NumPy, Matplotlib, Seaborn). Supports data-driven content & engagement strategy.
data-analysis data-visualization jupyter-notebook numpy pandas python seaborn
Last synced: 06 May 2026
https://github.com/radithsandeepa/robot-path-visualizer
Welcome to Robot Path Visualizer! This tiny project uses Python, Pygame, and NumPy to replay a precomputed trajectory (x, y, θ). It rotates a robot sprite frame-by-frame and draws a trail, making it handy for diff-drive path playback, simulation demos, and quick visual debugging of robotics experiments.
animation numpy pygame python robot-simulation robotics trajectory-visualization
Last synced: 18 Sep 2025
https://github.com/rarawe/taskly
A public repository for taskly
celery flutter-app hacktoberfest numpy pandas pydata queue queue-workers queued-jobs redis redis-queue scikit-learn scipy task-runner
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https://github.com/v-mayya/resale-revolution
Empower Hacks Hackathon Submission
html matplotlib numpy pandas python sqlite streamlit
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https://github.com/stefagnone/text_adventure_game
A text-based adventure game project using Python fundamentals
matplotlib numpy pandas python r scikit-learn seaborn sql
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https://github.com/shauryashaurya/marty_mcfly
Code, text and notebooks on a tutorial for Introduction to Machine Learning using open sources
anaconda jupyter-notebooks machine-learning machine-learning-tutorials notebook numpy python regression scikit-learn scipy tutorial
Last synced: 09 Apr 2026
https://github.com/rajireddy15/employee-attrition-prediction-hr-analytics-
Employee Attrition Prediction (HR Analytics) helps organizations analyze employee data, identify factors driving turnover, and predict attrition using machine learning and visual dashboards, enabling data-driven HR decisions and retention strategies.
data-cleaning data-collection data-manipulation data-preprocessing data-science data-visualization eda feature-engineering imbalanced-data machine-learning mysql-database numpy pandas
Last synced: 04 May 2026
https://github.com/epsoft/tex-classification
Tex Classification
classification classification-algorithm farsi matplotlib numpy pandas persian tensorflow tex-classification textvectorization
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https://github.com/tomaslopera/fifa_analysis
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https://github.com/abeed04/face-recognition-using-computer-vision-cv2
OpenCV (cv2) can be used for face recognition by detecting faces, extracting facial features, and comparing them to a database of known faces.
cmake cv2-library dlib-face-recognition face-recognition flask numpy pycharm-ide python
Last synced: 08 Feb 2026
https://github.com/valmir-unicap/deteccao-de-mascaras-faciais
Experimento baseado no artigo: A Face Mask Detection Algorithm Based on YOLO
kaggle-dataset mobilenetv2 numpy opencv python torch yolo
Last synced: 12 Apr 2026
https://github.com/sakshithbillava/expense-manager
A web-based expense tracking app built with Python and Streamlit, featuring real-time updates, data visualization, user authentication, and MongoDB integration.
authentication data-visualization expense-manager matplotlib mongodb numpy pandas personal-finance python streamlit webapp
Last synced: 09 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
Last synced: 09 Apr 2026
https://github.com/0xunkn0wn4m1r/data_engineering_banking_project
🏦 Build a complete data engineering workflow for a banking system, showcasing ETL processes, data transformations, and an interactive financial dashboard.
automation data-analysis data-cleaning data-science feature-engineering fintech-bank flask-api loan-default-prediction machine-learning mlops model-explainability numpy postgresql scikit-learn segmentation shap sql unsupervised-learning
Last synced: 09 Apr 2026
https://github.com/sunilvarma-l/zomato-data-analysis-using-python
its a Python-based project to analyze and visualize Zomato restaurant data. This project explores various aspects of restaurant data, such as customer reviews, restaurant ratings, locations, and cuisines, with the aim of uncovering insights and trends in the food industry.
googlecollab matplotlib numpy pandas python seaborn
Last synced: 09 Apr 2026
https://github.com/waghraj1699/codeclauseinternship_customer_segmentation_tool
Implementing customer segmentation using ML, covering exploring advantages, preprocessing, K-means clustering, and visualization.
data-preprocessing kmeans-clustering machine-learning numpy pandas visualization
Last synced: 08 May 2026
https://github.com/niteshchawla/aerofit-casestudy
The market research team at AeroFit wants to identify the characteristics of the target audience for each type of treadmill offered by the company, to provide a better recommendation of the treadmills to the new customers. The team decides to investigate whether there are differences across the product with respect to customer characteristics.
matplotlib-pyplot numpy pandas probability python seaborn statistics
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https://github.com/estaheri7/dotawinpredictor
This project aims to predict the outcome of Dota 2 matches based on the heroes picked by both the Radiant and Dire teams
data-science dota2 machine-learning numpy pandas python random-forest sklearn support-vector-machines
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https://github.com/nahiyanhkhan/stock-market-data-analysis_capstone-project
In this course, learned and solved assignments on SQL and Python. Final capstone project was on analyzing "Stock Market Data". Achieved 100% score in every assignment.
data-analysis data-analytics matplotlib mysql mysql-database numpy pandas python sql
Last synced: 09 Apr 2026
https://github.com/manishkumarpatel07/heartattack_risk_prediction
"Heart Attack Risk Prediction" uses machine learning to estimate the likelihood of a heart attack based on user-provided data like physical attributes, symptoms, and medical history. This system enables remote screening, identifying high-risk individuals, and easing medical system burdens by providing early, data-driven health risk assessments.
boruta knn-algorithm matplotlib numpy pandas python scikit-learn
Last synced: 09 Apr 2026
https://github.com/L-Gre/TradeFX-AI
A Python-based project exploring algorithmic trading strategies, including backtesting, real-time data integration, and predictive modeling with TensorFlow and Keras. Key topics include technical indicators, risk management, and leveraging AWS and broker APIs for automated trading.
algorithmic-trading aws backtesting broker-api keras machine-learning matplotlib numpy pandas portfolio-optimisation python real-time-data-integration risk-management technical-indicators tensorflow
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https://github.com/hamidhosen42/titanic-machine-learning-from-disaster-project
Titanic Machine Learning from Disaster Project Model accuracy : 77.272 %
decision-trees knn-classification machine-learning matplotlib nive-bayes numpy pandas python random-forest seaborn sklearn svm
Last synced: 09 Apr 2026
https://github.com/harmanveer-2546/house-price-prediction-
We all have experienced a time when we have to look up for a new house to buy. But then the journey begins with a lot of frauds, negotiating deals, researching the local areas and so on. So to deal with this kind of issues Today, I prepared a MACHINE LEARNING Based model, trained on the House Price Prediction Dataset.
catboost-classifier linear-regression machine-learning matplotlib numpy pandas python random-forest seaborn svm
Last synced: 09 Apr 2026
https://github.com/kasraskari/tumor-predict
Streamlit app for predicting tumor malignancy using logistic regression.
logistic-regression machine-learning numpy pandas python scikit-learn streamlit tumor-detection
Last synced: 09 Apr 2026
https://github.com/ricardorobledo/creditcardfrauddetector
Credit card fraud detector
css fastapi html5 javascript matplotlib numpy pandas python3 sklearn
Last synced: 09 Apr 2026
https://github.com/dataspieler12345/mathematics_for_ai
Mathematics for AI
jupyter-notebook matplotlib-pyplot numpy python sympy-library
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https://github.com/shibbir24/water-potability-prediction-using-hybrid-machine-learning-techniques
Water Potability Prediction Using Hybrid Machine Learning Techniques
machine-learning matplotlib numpy pandas python3 scikit-learn seaborn
Last synced: 09 Apr 2026
https://github.com/programmersteve/heart_disease_ml
jupyter machine-learning matplotlib numpy pandas python scikit-learn
Last synced: 09 Apr 2026
https://github.com/andremenezesds/pa004_health_insurance
Health Insurance Cross-Sell(Learning to Rank Machine Learning Project)
backend backend-api data-analysis data-science data-visualization dataviz lgbm machine-learning matplotlib numpy optuna pandas python scikit-learn shell-script sql webapi xgboost
Last synced: 09 Apr 2026
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/debjyotisaha/data-analytics-projects-phase-2
Developed and showcased various data analytics projects, including data preprocessing, exploratory data analysis, and visualization. Utilized tools such as Python, Pandas, NumPy, and Matplotlib to derive actionable insights and demonstrate problem-solving capabilities.
data-analysis data-preprocessing eda matplotlib numpy pandas python seaborn
Last synced: 09 Apr 2026
https://github.com/prashhhant213/exploratory-data-analysis-for-multinational-retail-corporation
Analysis via CLT and Visualization on Multinational Retail Corporation's data to provide insights and recommendations to improve their userbase.
math matplotlib numpy pandas python scipy-stats seaborn stats
Last synced: 09 Apr 2026
https://github.com/bearddan2000/python-web-3d-matplotlib-stem-graph
A demo of creating a 3d scatter parametric curve and line graph.
3d graph matplotlib numpy pandas python stem web
Last synced: 09 Apr 2026
https://github.com/rociobenitez/deeplearning-airbnb-price-prediction
Deep Learning project for Airbnb price prediction, featuring data preprocessing and neural network models in Google Colab.
airbnb-data airbnb-pricing-prediction convolutional-neural-networks deep-learning deep-learning-algorithms deep-neural-networks jupyter-notebook keras keras-neural-networks keras-tensorflow matplotlib numpy pandas python seaborn
Last synced: 09 Apr 2026
https://github.com/deepcloudlabs/ain2002-2024.2025-introduction.to.data.science
AIN2002: Introduction to Data Science
numpy pandas python r scikit scikit-learn
Last synced: 09 Apr 2026
https://github.com/ashwani-199/dataanalysis2024
Python Data Analysis
data-analysis data-visualization numpy pandas python seaborn sklearn
Last synced: 09 Apr 2026
https://github.com/aaaastark/web_scraping
Web Scraping
beautifulsoup csv matplotlib news numpy pandas pyhton python3 request requests scraper scraping web-scraping webscraping
Last synced: 10 Aug 2025
https://github.com/jalijuhola/amazon-textual-reviews-recommender-
predicting score and recommending using amazon textual reviews
numpy pandas python scikit-learn typescript
Last synced: 09 Apr 2026
https://github.com/vipinchaudhary31122002/valuevanguard
ValueVanguard is a machine learning project for accurate house price predictions. Using advanced algorithms and real-world data, it empowers users to analyze and forecast property values efficiently. Perfect for developers, data enthusiasts, and real estate professionals. 🏠📈
machine-learning matplotlib numpy pandas python sklearn streamlit
Last synced: 12 Apr 2026
https://github.com/1ayanabil1/100-days-of-python-bootcamp
Join me on my journey to code in Python every day for 100 days! 🐍 This challenge is designed to sharpen my programming skills, explore Python libraries, and build cool projects along the way.
data-structures data-structures-and-algorithms data-visualization django flask machine-learning matplotlib numpy pandas python seaborn web-development
Last synced: 09 Apr 2026
https://github.com/faisal-khann/banking_portfolio_risk_analysis
This analysis explores the banking customer dataset to uncover key patterns in account holdings, loan portfolios, income profiles, and transactional behavior. By integrating both financial and demographic variables, we examine customer engagement, lending trends, and risk exposure across different segments.
data-manipulation eda matplotlib numpy pandas powerbi python seaborn
Last synced: 21 Aug 2025
https://github.com/magzybog12/real-time-object-distance-measurement-using-opencv-python
Using an A4 paper as a guide, performing the distance measurements to find the height and width of objects placed in the region
numpy opencv-python pycharm-ide
Last synced: 05 May 2026
https://github.com/prath0m/python-numpy
Python basic Numpy Program
machine-learning numpy python python3
Last synced: 09 Apr 2026
https://github.com/vlasdislav/flakevision
colab-notebook cv2 matplotlib ml numpy python scikit-learn
Last synced: 09 Apr 2026
https://github.com/danishzulfiqar/predictive-maintenance-model-training
Model Training and Deployment Scripts for Predictive Maintenance.
h5 jupyter-notebook keras-tensorflow mongodb mongosse numpy nural-network pandas pickle shap tensorflow
Last synced: 09 Apr 2026
https://github.com/amandeep-gupta19/chatbot
Created a custom chatbot using Langchain. Here's a summary of what I did: Data Extraction: I gathered data about technical courses from the Brainlox website using Langchain’s URL loaders. Embedding Creation & Storage: I converted this data into embeddings and stored it in a vector store for efficient searching. API Development: I built a Flask
data-extraction faiss-vector-database flask-restful langchain numpy scikit-learn vector-database webbaseloader
Last synced: 09 Apr 2026
https://github.com/quarkgluant/analyse-visualisation-data-with-python
French Udemy Course "Analyse et visualisation de données avec Python" on Numpy, Pandas and MatPlotLib Python's librairies
matplotlib-tutorial numpy numpy-tutorial pandas pandas-tutorial python python3 udemy
Last synced: 09 Apr 2026
https://github.com/niteshchawla/netflix-case-study
Analyze the data and generate insights that could help Netflix ijn deciding which type of shows/movies to produce and how they can grow the business in different countries
matplotlib numpy pandas python seaborn
Last synced: 09 Apr 2026
https://github.com/misszeferino/us-traffic-accidents-analysis
Exploratory Data Analysis using Python
data-analysis matplotlib numpy pandas python seaborn
Last synced: 09 Apr 2026
https://github.com/hajdu-patrik/nlp_music-mood-classifier_bme_hf
This project is a Python-based NLP system that analyzes song lyrics to determine their emotional profile and recommends similar songs.
nlp nlp-machine-learning numpy pandas python
Last synced: 10 Nov 2025
https://github.com/baranwaljii/data-science-projects
This Repository contains projects related to the domain of data science based on python and jupyter notebook
data-science jupyter-notebook machine-learning numpy pandas python
Last synced: 09 Apr 2026
https://github.com/lexxai/goit_python_ds_hw_03
Модуль 3. Класичне машинне навчання. Перенавчання. Лінійна регресія. LaTeX формули.
latex linear-regression matplotlib numpy pandas python scikit-learn
Last synced: 09 Apr 2026
https://github.com/amruta33/melanoma-detection
To build a CNN based model which can accurately detect melanoma. Melanoma is a type of cancer that can be deadly if not detected early. It accounts for 75% of skin cancer deaths. A solution that can evaluate images and alert dermatologists about the presence of melanoma has the potential to reduce a lot of manual effort needed in diagnosis.
keras machine-learning numpy pandas python3 sckiit-learn tensorflow
Last synced: 09 Apr 2026
https://github.com/magnitopic/data-science-journey
data-science jupyter-notebook numpy python statistics
Last synced: 12 Apr 2026
https://github.com/balajig-24/titanic_data_analysics-
Project Title: Titanic Survival Prediction Project Overview The Titanic Survival Prediction project is a classic machine learning problem that aims to predict whether a passenger survived the Titanic disaster based on various features such as age, gender, passenger class, and more. This project demonstrates my ability to clean, analyze, and model.
jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn
Last synced: 09 Apr 2026
https://github.com/prarthana-singh/car_price_predector
machine-learning numpy pandas python sklearn-library
Last synced: 09 Apr 2026
https://github.com/maliksaqib786/codealpha_projectname
IRIS CLASSIFICATION | Internship Project at Code Alpha
data-science logistic-regression machine-learning matplotlib numpy pandas python scikit-learn seaborn
Last synced: 10 Apr 2026
https://github.com/ankitsharma-tech/classification-of-arrhythmia-using-ecg-data
A machine learning project to detect and classify arrhythmias from ECG signals using Python, scikit-learn, and TensorFlow. Includes data preprocessing, model training, and evaluation.
arrhythmia biomedical-signal-processing cardiology classification deep-learning ecg ecg-classification healthcare machine-learning mit-bih-dataset numpy python scikit-learn scipy signal-processing tensorflow time-series-analysis
Last synced: 07 Apr 2026
https://github.com/patilsukanya/p01.matplotlib-seaborn-titanic-dataset-visualization
Used libraries and functions as follows:
barplot bivariate boxplot densityplot histogram jointplot matplotlib numpy pairplot pandas python seaborn-plots seaborn-tutorial stripplots swarmplot univariate violinplot visualization
Last synced: 10 Apr 2026
https://github.com/harmanveer-2546/movie-industry
Investigate the film industry to gain sufficient understanding of what attributes to success and in turn utilize this analysis to create actionable recommendations for companies to enter the industry.
business business-analytics data-analysis datatime film-industry graphs matplotlib movie-database numpy pandas python scraping-websites seaborn visualization web-scraping-python
Last synced: 10 Apr 2026
https://github.com/subhamsarangi/ml
Machine Learning
classifier deep-learning keras machine-learning neural-network numpy pandas python3 regression scikit-learn scipy tensorflow testing training
Last synced: 10 Apr 2026
https://github.com/ksganni/diabetes-prediction-using-machine-learning
🔬 A machine learning project that predicts diabetes likelihood using patient health metrics and multiple classification algorithms.
jupyter-notebook matplotlib numpy pandas python scikitlearn-machine-learning seaborn
Last synced: 28 Apr 2026
https://github.com/avin27/credit-card-fraud-detection
A python script to analyse credit card data to detect fraudulent transactions
data-science numpy pandas sklearn
Last synced: 10 Apr 2026
https://github.com/yukti1sharma/emotion-based-music-recommender
Emotion based music recommendation system
detection-model emoji facial-expression-recognition jupyter-notebook keras-tensorflow machine-learning mediapipe music neural-networks numpy opencv python realtime streamlit webapp
Last synced: 10 Apr 2026
https://github.com/hariprasath-v/machinehack_intel_oneapi_hackathon_the_llm_challenge
Generate a response for the question from pre-defined text using LLM(Extracted Question-Answering(QA) Model).
accuracy exploratory-data-analysis extractive-question-answering huggingface machine-learning matplotlib nlp nltk numpy pandas python seaborn sklearn spacy spellchecker wordcloud
Last synced: 10 Apr 2026
https://github.com/oguzhansarigol/Expected-Goals-xG-Data-Analysis
We will analyze in our code the expected goal locations of football players based on which areas of the field, at what times, with which feet, using which parts of their bodies, and from which angles and distances they are most likely to score.
data-analysis-python expected-goals numpy pandas-python python
Last synced: 20 Aug 2025
https://github.com/lorenzorottigni/ml-houses
Machine Learning python bootcamp: linear regression on houses model
ipynb linear-regression machine-learning numpy pandas python scikit-learn seaborn
Last synced: 10 Apr 2026
https://github.com/nickklos10/compressive-strenght-prediction
This project predicts concrete compressive strength using a neural network regression model built with Keras.
jupyter-notebook keras matplotlib numpy pandas python scikit-learn
Last synced: 10 Apr 2026
https://github.com/chandkund/customer-segmentation-using-k-means-clustering
Implemented K-Means Clustering to segment customers based on purchasing behavior, enabling targeted marketing strategies. Analyzed data, optimized clusters using the Elbow Method, and derived insights to enhance customer engagement and retention.
data-science kmeans-clustering machine-learning matplotlib numpy pandas python seaborn sklearn
Last synced: 10 Apr 2026
https://github.com/mayankmittal29/pagesage-ai_urls_content_scraper_webapp
PageSage is a modular web scraping and semantic retrieval system using BeautifulSoup for extraction, SentenceTransformers for dense embeddings, and ChromaDB for scalable vector search—enabling efficient data indexing for advanced RAG pipelines.
beautifulsoup chromadb fastapi gpt-turbo numpy openai-api python3 question-answering rag react requests sentence-transformers tailwindcss web-scraping
Last synced: 10 Apr 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/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
Last synced: 10 Apr 2026
https://github.com/ankman007/python-100-days-of-code
Daily logs of my progress and mini-projects made over the course of this challenge
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Last synced: 10 Apr 2026
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
Last synced: 10 Apr 2026
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
Last synced: 10 Apr 2026
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
Last synced: 12 Apr 2026
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-
Last synced: 11 Apr 2026
https://github.com/quickheaven/scs-3251-statistics-for-data-science
Repository dedicated to Term Project of UofT Statistics for Data Science Course
data-science jupyter-notebook logistic-regression numpy pandas python
Last synced: 10 Apr 2026
https://github.com/yessasvini23/pytorch-bootcamp-on-ai-by-opencv
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
Last synced: 13 Apr 2026