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/rashidul738/data-analysis-with-statistics-and-python
Data Analysis with Statistics and Python
jupiter-notebook lambda numpy pandas-python python scipy statistics
Last synced: 06 May 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
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https://github.com/lfgodoi/rpm-deep-estimator
A deep learning-based RPM estimator based on spectral features extracted from vibration signals of rotating machines.
condition-monitoring deep-learning docker flask neural-networks numpy python scipy signal-processing spectral-analysis
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https://github.com/hackintoshrao/first-neural-network
Simple Neural Network with a hidden layer written from scratch using Numpy for prediction the bike sharing sales
deep-learning neural-networks numpy python
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https://github.com/humankernel/hands-on-ml
Practice of Machine Learning
machine-learning matplotlib numpy pandas sklearn
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https://github.com/0nom4d/306radiator
Mathematical EPITECH Project - This project reproduces the behaviour of a radiator placed at a position in a room of a given size.
epitech epitech-project numpy pytest python3
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https://github.com/sumanth44a/predicting-customer-churn-in-telecommunication
Predicting-Customer-Churn-In-Telecommunication
decision-trees matplotlib numpy pandas python random-forest
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https://github.com/roaajadaa/text-classification
Classify documents using custom naïve bayes model
matplotlib nlp nltk numpy pandas python sklearn
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https://github.com/ujjvalrajput/data-analysis-python-practise
Practise with matplotlib, pandas, and numpy.
matplotlib numpy pandas python
Last synced: 29 Apr 2026
https://github.com/thaisgarcia/analise-exploratoria
Respondendo 10 perguntas de negócio a partir de um dataset sobre uma rede de varejo que comercializa diversos produtos em diversas cidades dos EUA.
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https://github.com/ifimust/room_generator
Room generator service for 2D game levels
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https://github.com/pocketfullofdata/electric-vehicles-market-size-analysis
This project analyzes the growth, adoption trends, and future projections of the electric vehicle (EV) market. Using data analysis and visualization techniques, it examines key factors like sales trends, and consumer adoption to understand the evolving landscape of the EV industry.
analysis data jupyter-notebook matplotlib numpy python seaborn vscode
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https://github.com/giordanodaloisio/demv
Debiaser for Multiple Variables, a model- and data- agnostic method to improve fairness in binary and multi-class classification tasks
bias-mitigation numpy pandas python
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https://github.com/unknownman/101-numpy
learning numpy by 101 short videos and jupyter notebook
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https://github.com/thaivincent/fft_image_compression
A simple image compression program using FFT and numPy
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https://github.com/haleema33/cs50-final-project
This project allows the user to input a sequence of characters (a-z), and generates a unique audio file composed of piano sounds corresponding to those characters. The system reads sound files from a predefined directory, processes them, and outputs a new WAV file with the audio sequence. The audio is speeded up 3x for an accelerated playback.
Last synced: 29 Apr 2026
https://github.com/ravi-aratchige/spacefarer
What type of astronaut would you be?
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https://github.com/yibrahimmoos/snn
shallow neural network imp.
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https://github.com/amulya20010418/zomato_data_analysis
Analyze Zomato restaurant data all the world and find the insights by using Python libaries and also visualize the dataset by using Power-bi
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https://github.com/al-ghaly/e-commerce-a-b-testing
A Statistical Analysis project in which I Performed an A/B test to analyze the effect of changing the user interface for an E-Commerce company's Website.
data-analysis matplotlib numpy pandas python python-data-analysis seaborn statistical-analysis statistics
Last synced: 29 Apr 2026
https://github.com/shariqayan/diwali_sales_analysis_python
The Diwali Sales Analysis project focuses on analyzing sales data during the Diwali festival to gain insights into customer behavior, improve customer experience, and optimize sales strategies.
data-visualization matplotlib numpy pandas python seaborn
Last synced: 29 Apr 2026
https://github.com/chandkund/predicting-student-grades
This project predicts student grades (G1, G2, G3) based on various features such as demographic information, study habits, family background, and other academic factors. The aim is to develop a predictive model that can assist in identifying students who may need additional support.
classification-algorithm ensemble-learning exploratory-data-analysis machine-learning matplotlib numpy pandas regression-models seaborn
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https://github.com/hanchiang/python-data-science-handbook
Learn data science with python, numpy, pandas from the book "Python Data Science Handbook: Essential Tools for Working with Data"
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https://github.com/ksharma67/k-means-algorithm-on-the-iris-dataset
Applied the K-Means algorithm on the Iris dataset, and utilized the Silhouette Score method to find the best value of K
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Last synced: 29 Apr 2026
https://github.com/djdurga/upi-transactions-eda
The dataset provided encompasses a comprehensive record of Unified Payments Interface (UPI) transactions spanning the period from January 2023 to December 2023. Unified Payments Interface (UPI) has emerged as a prominent digital payment system in India, facilitating seamless fund transfers between bank accounts instantly.
matplotlib numpy pandas python
Last synced: 29 Apr 2026
https://github.com/prithviraj-2003/cognifyz-data-science-internship
🎓 Data Science Internship at Cognifyz Technologies 📅 Duration: 2 Months 🧠 Worked on real-world restaurant data 🗂️ Completed structured tasks across 3 levels 📌 Tasks focused on EDA, data preprocessing, visualization, and analysis 📎 Task descriptions provided in an attached PDF
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https://github.com/sakshijain009/minor-project-ml-in-python
Exploratory Data analysis on data using python
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https://github.com/yimethan/basics-of-data-analysis
2023-2 Basics of Data Analysis
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https://github.com/michaelzheng67/farmsa-programming-for-finance-spring2021
Source files for the programming for finance presentation (complements the material covered)
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https://github.com/abideen-olawuwo/airline-twitter-sentiment
A sentimental review on airline
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https://github.com/khursheedahmedd/machine-learning
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https://github.com/rebeccamorolong/mtn-customer-churn-prdiction
This project addresses a real-world business problem: predicting customer churn for MTN, a major telecommunications company. Customer churn significantly impacts profitability, and accurate predictions enable targeted retention efforts.
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https://github.com/alfastrek/textinsight-pro
Webscraper with Natural Language Processing
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https://github.com/atchayaah/vois_aicte_oct2025_atchayaa
Comprehensive data science analysis leveraging NYC Airbnb market data to derive actionable insights on optimal pricing models, key performance indicators (KPIs), and factors influencing host trust and guest experience optimization.
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https://github.com/laipching/sprint6_module1
Exploratory Data Analysis with Python (Pandas/Matplotlib/Seaborn). Business questions, metrics and clear visualizations.
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https://github.com/ahshah322/world-happiness-report-2025
Data analysis and visualization of the World Happiness Report 2025 using Python (pandas, seaborn, matplotlib). Explores how GDP, health, freedom, generosity, and corruption perception influence global happiness.
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Last synced: 29 Apr 2026
https://github.com/fanisgl/video-games-sales-data
Data Analysis of Sales Dataset using Python.
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https://github.com/abideen-olawuwo/sign-language-lambda
A model deployed to AWS Lambda
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https://github.com/mikma03/datascience_python_datacamp
DataScience with Python. Code and examples. Python libraries, including pandas, NumPy, Matplotlib, and many more.
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https://github.com/kunalpisolkar24/gradientdescent
A Python implementation of gradient descent for linear regression, visualized with cost function history, parameter trajectory, and a 3D cost surface.
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https://github.com/snehasunilnair/image-processing-projects
Image pre-processing techniques using OpenCV.
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https://github.com/mohamed15058/cognifyz-data-science-internship-restaurant_data_analysis_and_prediction-
Restaurant_Data_Analysis_and_Prediction
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https://github.com/pereira-elizabeth/aah-2d-hermitian
Minimal 2D AAH model: build, diagonalize, and plot spectrum (NumPy/Matplotlib)
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Last synced: 07 May 2026
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.
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https://github.com/shwetapardhi/assignment-04-simple-linear-regression-1
Q1) Delivery_time -> Predict delivery time using sorting time. Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization, Feature Engineering, Correlation Analysis, Model Building, Model Testing and Model Predictions using simple linear regressi
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https://github.com/ola-kaznowska/sigmanoid-function
Sigmanoid function. Written in Python 3.13.1 with matplotlib library and numpy
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Last synced: 30 Apr 2026
https://github.com/isabelacaldeira/plongee
Here is a program that we made using Python and Jupyter Notebook used to solve a physic problem about diving
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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
Last synced: 10 Apr 2026
https://github.com/samiksha29-patil/hr-employee-data-analysis-visualization-in-python
This project focuses on analyzing an HR Employee Dataset that contains details about employees such as demographics, job status, salaries, performance reviews, satisfaction levels, and attrition reasons.
csv-files data data-visualization dataanalysis matplotlib numpy pandas python seaborn
Last synced: 30 Apr 2026
https://github.com/sjain2580/simple-linear-regression-model
This project demonstrates a simple, yet robust, multiple linear regression model built with Python and scikit-learn to predict median house values in California.
joblib linear-regression matplotlib matplotlib-pyplot numpy python scikit-learn
Last synced: 30 Apr 2026
https://github.com/omarsaad21/it-salary-eda
A python EDA project implemented on IT department salaries data we made data exploration and made data visulization for some questions on dataset
data explotary-data-analysis juypter-notebook numpy pandas python visualization
Last synced: 30 Apr 2026
https://github.com/shohail-dev/python-sales-analysis
Python analysis project :- Analyze Diwali sales data to improve customer experience and sales .
matplotlib numpy pandas python-lambda python3 seaborn
Last synced: 30 Apr 2026
https://github.com/vishal-verma-96/honey_production_analysis_using_python
In this project, I analyzed U.S. honey production from 1998 to 2021 across different U.S. cities, explored yields, and examined production values using Matplotlib and Seaborn visualizations.
matplotlib numpy pandas python-3 python-visualization seaborn
Last synced: 30 Apr 2026
https://github.com/s0fft/learning-lab
Code Notes & Test-Learn // Micro Pet-Projects: Python / Asynchrony / FastAPI / Django-Tastypie / DRF / Parsing / Telegram-Bot / SQL / Docker / DS / ML / etc.
asynchrony data-science django-rest-framework docker fastapi jupyter-lab jupyter-notebook mashine-learning matplotlib notes numpy pandas parsing python3 scikit-learn seaborn sql sqlalchemy tastypie telegram-bot
Last synced: 10 Apr 2026
https://github.com/pramodyasahan/grade-predictor
This project aims to predict student performance based on various features such as job, study time, failures, absences, and first and second period grades. The project utilizes a linear regression model from the scikit-learn library in Python.
machine-learning matplotlib numpy pandas python regression scikit-learn
Last synced: 30 Apr 2026
https://github.com/tinaland101/credit-risk-classification
The purpose of this project is to build a credit risk classification model using machine learning techniques. This model helps identify the creditworthiness of borrowers based on historical lending data. Specifically, it uses a logistic regression model to predict whether a loan is healthy (0) or high-risk (1).
numpy pandas pathlib scikit-learn
Last synced: 30 Apr 2026
https://github.com/ebadshabbir/naive_bayes_classification-gaussain-
A Python project that applies Naive Bayes classification to predict user purchases based on age and salary using the Social Network Ads dataset. The project includes data preprocessing, model training, prediction, and visualization of decision boundaries for both training and test datasets.
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Last synced: 30 Apr 2026
https://github.com/scholarchen20/pythonlp
Python保姆级教学附有对应的demo项目(成绩管理系统),适合小白打基础。此外还包含Numpy,Tensorflow,Pytorch示例代码提供学习使用上手
image-classification image-processing numpy pands python pytorch system tensorflow
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https://github.com/shakhthi/network_security
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https://github.com/alirezasaharkhiz9/python-for-dataanalysis
The educational repository for data manipulation and analysis with the libraries numpy, pandas, and matplotlib.
Last synced: 30 Apr 2026
https://github.com/fikri-rouzan/data-science-mathematics
Proyek implementasi perhitungan matematika untuk klasifikasi probabilistik Naive Bayes serta eksperimen statistik A/B testing pada sistem rekomendasi dan pengembangan perangkat lunak.
jupyter-notebook matplotlib numpy pandas python scipy seaborn
Last synced: 08 Jun 2026
https://github.com/fikri-rouzan/student-stress-levels-classification
Proyek pemodelan machine learning untuk mengklasifikasikan tingkat stres mahasiswa berdasarkan parameter input akademik dan psikologis.
joblib jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn streamlit
Last synced: 08 Jun 2026
https://github.com/dm-zhuk/goit-math-python-tests
Mathematics
matplotlib-python numpy pandas scipy
Last synced: 06 May 2026
https://github.com/coder5omkar/lendingclubcasestudy
Performed exploratory data analysis (EDA) on the loan dataset from the Lending Club Case Study to identify the key factors influencing loan defaults.
bivariate-analysis data-science exploratory-data-analysis matplotlib numpy pandas seaborn univariate-analysis
Last synced: 06 May 2026
https://github.com/redinfinitypro/python-task-manager
Rating: (7/10): The Python Task Manager, is a user-friendly interface using tkinter library for system monitoring and management. It displays detailed system process information using psutil, with interactive features.
matplotlib numpy psutil pygetwindow tkinter
Last synced: 30 Apr 2026
https://github.com/yashbhutwala/pong-ai
Deep Q-Learning Networks vs. Policy Gradient Learning in OpenAI Gym's Pong Environment
deep-q-learning numpy openai-gym policy-gradient pong python tensorflow
Last synced: 30 Apr 2026
https://github.com/danchik12/habr_scraping
Parsing Habr articles and saving in csv format
csv fake-useragent numpy pandas parser python3
Last synced: 30 Apr 2026
https://github.com/isaacalves7/nvidia-cuda
👁️🗨️📗 It's a repository of Nvidia CUDA programming.
anaconda gpu-programming numba numpy nvidia-cuda python3
Last synced: 30 Apr 2026
https://github.com/poltanek/crane-random-search
Skeleton code for a simulation of a problem similar to the Crane problem however, implementing using random search algorithm expending random nodes
numpy python python3 random-search-algorithm
Last synced: 01 May 2026
https://github.com/mukeshthenraj/video-engagement-prediction
ML project to predict video engagement using Random Forest & XGBoost
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Last synced: 30 Apr 2026
https://github.com/abideen-olawuwo/converted-web-app
Deploying model with Flask
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https://github.com/hediyeorhan/styletransfer
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https://github.com/raduldev/ml-projects
End To End Machine Learning Project guided by Krish Naik from Ineuron.
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https://github.com/raoulnormand/easygrader
A library to easily calculate course grades.
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https://github.com/sayginsaman/hand-gesture-desktop-controller
A comprehensive Python application that transforms your webcam into a powerful desktop control interface using computer vision and hand gesture recognition. Control media playback, volume, scrolling, and navigation with simple hand gestures - no mouse or keyboard required!
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https://github.com/varuntotakura/face-recognition
My own code for Face Recognition using Python
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Last synced: 09 Apr 2026
https://github.com/sujalk777/signal_systems_lab
This repository contains the assignments for the Signal Systems Laboratory course offered at IIT Jammu Autumn 24
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https://github.com/sultanazhari/prediction-model-of-customers-leaving
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Last synced: 20 Apr 2026
https://github.com/mzayles/base_vendas_analise-exploratoria
💻📊✅ Curso de Programação em Python para Data Science | Identificando e analisando problemas.
Last synced: 24 Mar 2025
https://github.com/abhiram-epuru/ai-powered-movie-recommender
A Movie Recommendation System using the MovieLens dataset, leveraging collaborative filtering techniques such as KNN (k-Nearest Neighbors) and Singular Value Decomposition (SVD). The project demonstrates a personalized recommendation model capable of suggesting movies based on user preferences and interaction data.
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💻📊✅ Curso de Programação em Python para Data Science | Gráficos utilizando a base de vendas da Seaborn e a biblioteca Matplotlib.
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Last synced: 24 Mar 2025
https://github.com/deanlogan/data-analysis-course
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Last synced: 06 May 2026
https://github.com/khushi130404/catnet
CatNet is a simple machine learning project that classifies images as either a cat or not a cat using logistic regression. The dataset consists of labeled images of cats and non-cats, preprocessed and used to train a binary classification model.
h5py matplotlib numpy pillow scipy
Last synced: 12 Apr 2026
https://github.com/c-mohammed-zaid/python
A diverse collection of Python projects showcasing skills in game development, data manipulation, and utility tools, including classic games, encryption, and data analysis.
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Last synced: 06 Jan 2026
https://github.com/shibam120302/indian_sign_language_translator
This repository consists of the code utilized for creation of an Indian Sign Language Translator satisfying the following criteria : Near-Real-Time Application Achieve background independence Attain Illumination independence
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Last synced: 12 Apr 2026
https://github.com/theoldvalyria/python_projects
Проекты, направленные на анализ данных Python и АБ-тестирование.
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https://github.com/kareem74x/data-mining-uni-project
A project focused on applying data mining techniques to extract insights from datasets
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Last synced: 25 Feb 2026
https://github.com/jvictor011/analise_de_precos_de_materias-primas_agricolas
Este projeto concentra-se na análise dos dados de preços de várias matérias-primas agrícolas ao longo do tempo. O conjunto de dados usado para esta análise é chamado de agricultural_raw_material.csv.
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https://github.com/manojkp08/student-performance-analysis
The Student Performance Analyzer is your go-to solution for understanding and improving student performance. By blending the power of machine learning with interactive visualizations, this tool provides educators and learners with personalized insights into learning styles, performance gaps, and actionable improvements.
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https://github.com/akashash01/navie_bayes
It's an simple probabilistic classifiers based on applying Bayes theorem with strong independence assumptions between the features. Highly effective for text sequence oriented data(independent variables).
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Last synced: 09 Apr 2026
https://github.com/sayan520/titanic-data-insights
Conducting data analysis on Kaggle's Titanic: Machine Learning from Disaster dataset using essential data wrangling, exploratory data analysis (EDA), and visualization techniques to uncover insights, identify patterns, and explore factors influencing passenger survival.
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https://github.com/asier-ortiz/ai-course-notebooks
AI course Notebooks and Exercises
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