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: 2026-06-24 00:18:03 UTC
- JSON Representation
https://github.com/chuvalniy/torchy
Built from scratch neural network library using only NumPy
backpropogation from-scratch gradient math neural-net numpy pytorch-like
Last synced: 01 May 2026
https://github.com/corentin-mzr/pmi
Project Master IPSA : Modeling the transport of a chemical species in a fluid
1d 2d fluid-dynamics fluid-simulation matplotlib numpy physics physics-2d physics-simulation python stochastic-processes
Last synced: 07 Jun 2026
https://github.com/ramamagarwal/mathematical-simulation-projects
This repository comprises my math modelling-based projects covering topics of Linear Algebra, Probability and Statistics.
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https://github.com/yannbouyeron/genopy
Analyses génétiques et phylogénétiques pour les SVT
biopython genetique lycee numpy pandas phylogenie svt
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https://github.com/anidipta/risk-sense
Risk Sense : Next-Gen Fraud Predictor
convolutional-neural-networks machine-learning machine-learning-algorithms numpy python streamlit
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https://github.com/cchandre/gc2d
Guiding-center dynamics in plasma physics
hamiltonian numpy plasma-physics pyhamsys scipy symplectic-integrator
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https://github.com/hansalemaos/numba_aot_compiler
A function to facilitate the Ahead-of-time compilation with Numba
aheadoftime aot compile numba numpy pyd
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https://github.com/joshi-jyoti/heart-disease-prediction
This repository contains a Python-based project for predicting the likelihood of heart disease using a Logistic Regression machine learning model. It leverages a dataset of patient medical information to train and evaluate the model, providing insights into potential diagnoses.🩺
heart-disease-prediction heart-disease-predictor kaggle-dataset machine-learning numpy pandas python scikit-learn
Last synced: 01 May 2026
https://github.com/maheera421/road-lane-detection
Autonomous vehicle Road Lane Detection system using Digital Image Processing techniques.
canny-edge-detection cv2 gaussian-filter glob grayscale-images hough-transformation matplotlib-images matplotlib-pyplot numpy os pil rgb2hsl rgb2hsv tkinter videofileclip webbrowser
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https://github.com/iliatrofimov/linearsystems_solvers
Several methods of solving sistems of linear equasions
Last synced: 28 Apr 2026
https://github.com/aroojzahra908/artifical-intelligence-and-machine-learning-
Explore the basics of linear regression, gradient descent, and AI using Python. Get hands-on with NumPy, pandas, Matplotlib, and scikit-learn for practical learning.
artificial-intelligence gradient-descent linear-regression machine-learning matplotlib numpy pandas scikit-learn-python
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https://github.com/oriyarden/binary-multiclassificationneuralnetworksfromscratchnumpyarraysonlypython
Neural networks for binary and multiple classification from scratch (using only numpy arrays) in Python
artificial-intelligence artificial-neural-networks backpropagation backpropagation-neural-network data-science from-scratch google-colab-notebook iris iris-classification iris-dataset machine-learning neural-networks numpy numpy-arrays object-oriented-programming oop python recurrent-neural-networks
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https://github.com/harikrishnan669/python
Basic Python programs and Try outs..
matplotlib numpy pandas python tkinter tkinter-gui
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https://github.com/back2matching/turboquant-vectors
Compress embeddings 6x instantly with TurboQuant. First pip package using Google's TurboQuant (ICLR 2026) for vector search. 71.9% recall vs FAISS PQ 13.3%.
compression embeddings faiss machine-learning numpy quantization rag turboquant vector-search
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https://github.com/miltiadiss/ceid_ne562-data-mining-and-machine-learning-algorithms
This project involves analyzing a dataset through statistics and visualizations to uncover patterns & correlations. It trains classifiers (Neural Networks, Random Forests, Bayesian Networks) to predict physical activities and evaluates their performance. Finally, it clusters participants' activities using 2 algorithms, comparing their effectivenes.
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https://github.com/y-india/project-smart-attendance-system-opencv
AI-powered Smart Attendance System using Face, Eye, and Mask detection — automates daily attendance with real-time computer vision and CSV logging. | see README below , please.
attendance-system automation cctv-cameras cctv-detection numpy opencv opencv-python pandas project projects python python3 real-world-problem-solving real-world-project webcam
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https://github.com/framebuffers/mindhunter
Wrappers for Pandas DataFrames to add quicker access for common statistical values, utilities and functionality.
data-analysis data-science numpy pandas python utilities-python
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https://github.com/vochicong/ai-memo
Notebooks about machine learning (AI) math and tools
azure-notebooks colaboratory machine-learning math numpy
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https://github.com/mattia-hulathduwage/image-dehazing-tool
An image dehazing tool built with Python, OpenCV, and NumPy to enhance visual clarity in hazy images, featuring real-time processing and a user-friendly interface for saving dehazed results.
Last synced: 17 Apr 2026
https://github.com/adalbertobrant/macd
Estudando sobre o uso do streamlit com geração de gráficos e dados da B3
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https://github.com/muhamedayoub/numerical-analysis-project
This repository contains an academic project for the numerical analysis module.
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https://github.com/vijayjoshi16/credit-card-fraud-detection-using-ml-in-python
Credit Card Fraud Detection Using ML in Python
data-analysis jupyter-notebook logistic-regression machine-learning matplotlib-pyplot numpy pandas python regression seaborn
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https://github.com/alexcoder04/image-edit
A Python GUI for basic image editing, school project
fun gui image-editing image-processing numpy pil pyqt pyqt5 python python3 qt sideproject
Last synced: 09 May 2026
https://github.com/zolabar/interactive-calculus
Interactive Calculus with SymPy and Jupyter Widgets
ipywidgets jupyter-notebook numpy plotly python sympy voila-dashboard
Last synced: 15 Apr 2026
https://github.com/nekruzash/machine-learning-decision-trees
This is from CS2023 - AI/DS/ML class, trained a machine learning model with heart disease data sets to predict a correlation using numpy and pandas.
jupyter-notebook numpy pandas python
Last synced: 02 May 2026
https://github.com/mithileshk11/steganography-app-aicte-internship-cybersecurity-edunet-foundation
Secure Image Steganography App : This Streamlit-based Steganography App lets you securely encrypt and decrypt messages in images using the Least Significant Bit (LSB) technique. Messages remain invisible unless unlocked with the correct password.
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Last synced: 28 Apr 2026
https://github.com/tynab/inferential-statistics
CyberSoft Machine Learning 03 - Inferential Statistics
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https://github.com/kritimbist/365-days-of-github-challenge-ai-machine-learning
This repository is part of my 365 Days Challenge: AI × Machine learning, where I combine my passion for Machine Learning 🤖 to learn, build, and document projects every single day for one year.
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https://github.com/rajharit77/weather-project
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Python Libraries Tutorials for Numpy and Matplotlib
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https://github.com/code-taweezy/thermos-ai
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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
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https://github.com/hpennington/mono-visual-odometry
Monocular Visual Odometry in NumPy
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https://github.com/madhuresh2011/telco-customer-churn-analysis-using-python
The analysis primarily investigates factors influencing customer churn, particularly focusing on payment methods and contract types.
csv data-analysis matplotlib numpy pandas pyhton seaborn vizualisation
Last synced: 02 May 2026
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The objective of this repository is to provide a learning and experimentation environment to better understand the details and fundamental concepts of neural networks by building neural networks from scratch.
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https://github.com/khaymanii/car-price-prediction-model
This is a model built using Python , Lasso and Linear Regression algorithm.
matplotlib numpy pandas python sckiit-learn
Last synced: 10 May 2026
https://github.com/heisenberg141/deep-learning-from-scratch
In this repository, I have showcased implementation of deep learning methodologies and architectures using Python and Numpy
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Last synced: 10 May 2026
https://github.com/tynab/numpy
CyberSoft Data Analyst 08 - NumPy Basic
cybersoft cybersoft-academy cybersoft-academy-da cybersoft-academy-da-08 cybersoft-academy-data-analyst cybersoft-academy-data-analyst-08 cybersoft-da cybersoft-da-08 cybersoft-data-analyst cybersoft-data-analyst-08 da da-08 data-analyst data-analyst-08 jupyter-notebook matplotlib numpy pandas python yan
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https://github.com/dudynets/numerical-methods-labs
Labs for Numerical Methods course at Ivan Franko Lviv National University.
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https://github.com/mirseo/pandas_learning
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A Domain-Specific Programming Language for Analyzing Quantum Algorithms
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dashboard flask flask-cors keras-tensorflow lstm-neural-networks machine-learning numpy react-typescript scikit-learn stock-price-prediction
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https://github.com/RsGoksel/Genetic-Algorithms
A Guide to Problems and Solutions on Genetic Algorithms
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https://github.com/harizonelopez/face-detector
This project is a real-time face detection application using OpenCV's deep learning-based face detector. It captures faces from a webcam feed, detects faces with high accuracy using a pre-trained Caffe model, and saves the detected faces as image files labeled with the user's name.
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https://github.com/sureshbeekhani/machine-learning-algorithms
A collection of machine learning algorithms implemented for learning and practice, covering regression and classification models using Python.
dataanalysis datascience featurescaling linearregression machinelearning matplotlib numpy pandas python seaborn
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https://github.com/datarohit/car-evaluation--classification
This is a Kaggle Dataset where we classify the cars using their various features. Here I used plotly to visualize the Accuracy Scores. Also I used CrossValScore to get More accurate Accuracy Score.
classification-algorithm cross-validation-score machine-learning matplotlib-pyplot numpy pandas sklearn
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https://github.com/javierkaiser9/rgb-d_dual_input_machine_learning_model
This Demo presents a machine learning-based steering module for sidewalk navigation . Using a dual-input EfficientNetV2 model, it processes RGB-D data from an Intel RealSense D415 to classify sidewalk scenarios and generate real-time steering commands. Optimized with OpenVINO
efficientnet efficientnetv2 machine-learning numpy opencv openvino python3 realsense-camera tensorflow
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https://github.com/mikediessner/benchfuncs
Benchmark functions to test optimisation algorithms.
benchmark-functions numpy optimization test-functions
Last synced: 17 May 2026
https://github.com/duoan/dl-bike-sharing-demand
ractice neural network implemented just with numpy for Kaggle Bike Sharing Demand
bike-sharing bike-sharing-demand deep-learning kaggle neural-network numpy udacity-deep-learning
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https://github.com/m-aadhi/game-review-sentiment-analysis
This project aims to analyze and predict the sentiment of game reviews using natural language processing (NLP) and machine learning techniques. The objective is to determine whether a review is positive, negative, or neutral based on its content.
matplotlib numpy pandas-library python
Last synced: 19 Jun 2026
https://github.com/harmonicode/image-mixer
A PyQt5-based application for real-time image processing and reconstruction using frequency components like magnitude, phase, real, and imaginary parts. Adjust brightness and contrast, and mix images with ease.
fourier-transform image-processing numpy opencv pyqt5 python signal-processing
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https://github.com/jilliennelapid/finalproject_group53
Final Project for COP2080. Audio Graphical software that works with mono-channel .wav files and plots them in various ways.
matplotlib numpy pydub python scipy tkinter
Last synced: 14 Apr 2026
https://github.com/saptak625/doublependulum
This repository is my derivation of the equations of motion of a double pendulum using Lagrangian Mechanics and then solving the nonlinear, coupled equations using a Runge-Kutta 45 integration scheme.
differential-equations lagrangian-mechanics matplotlib numerical-integration numpy python scipy vpython
Last synced: 03 May 2026
https://github.com/pr38/cox_ph_estimation_notebooks
Personal discovery work on estimating Cox Proportional hazards coefficients for for both breslow and efron ties, using both autograd and directly calculating the gradient and hessian
cox-regression dask data-science machine-learning numpy pytensor statistics survival-analysis
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https://github.com/carmoreno/analisisaccidentalidadbogota
Data Analysis about traffic accidents at Bogotá, Colombia.
data-analysis data-science jupyer-notebook matplotlib numpy pandas scikit-learn
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https://github.com/mattdelaune/ecommerce_market_basket_analysis
This repository includes a Market Basket Analysis (MBA) project with advanced data cleaning and a Power BI dashboard. It identifies top revenue-driving item pairs, their impact on CLV and ATV, and offers insights for optimized product bundling and revenue growth.
anaconda git google-docs jupyter-notebook kaggle-api numpy pandas postgresql powerbi psql random sql sql-magic sqlalchemy vscode
Last synced: 26 Feb 2026
https://github.com/vineet416/chronic-kidney-disease-prediction
This repository contain code of Chronic Kidney Disease Detection Prediction Project. The goal of this project is predict the chronic kidney disease using parameters like Diabetes Mellitus, Blood Urea, Sugar, Hypertension etc.. I used multiple machine learning algorithms with hyperparameter tuning which is having highest accuracy score of 97.5
data-visualization data-wrangling exploratory-data-analysis feature-engineering feature-selection hyperparameter-tuning machine-learning matplotlib numpy pandas plotly pre-processing python seaborn sklearn-library statsmodels
Last synced: 14 Apr 2026
https://github.com/py-mp3/boston-comparing-regression-modules
A ipynb file that compares different regression modules in the sk.learnit library.
ipython-notebook numpy pandas python regression-models seaborn sklearn
Last synced: 09 Feb 2026
https://github.com/yangeorget/clustering-algorithms
K-means and C-means experiments with Numpy
clustering clustering-algorithm numpy
Last synced: 02 Apr 2026
https://github.com/vidursatija/tensorpy
A simple NumPy autodiff library
autograd machine-learning numpy python
Last synced: 03 May 2026
https://github.com/guifernandess7/megasena-estatisticas-e-analises
Análises e Estatísticas dos jogos da megasena com base em todos os jogos que já ocorreram.
Last synced: 29 Apr 2026
https://github.com/wilfriedmercier/somptimised
An optimised version of sklearn-som with extended functionalities.
machine-learning machine-learning-algorithms numpy python python3 self-organizing-map som
Last synced: 09 Jun 2026
https://github.com/itzzmeakhi/investigate-tmdb-dataset
Tmdb dataset is taken to perform analysis. Messy data is cleaned by performing many steps like dropping null values and rising values and analyzing correlation among them using visualization techniques using matplotlib and seaboarn to derive the answers that i imposed during the early stages of analysis.
csv matplotlib numpy pandas python3 seaborn
Last synced: 03 May 2026
https://github.com/antoniojcosta/calculus-exercises
Numerical Calculus exercises solved using python.
calculus calculus-course fraction jupyter-notebook mathematics matplotlib numpy phisics python sympy
Last synced: 03 May 2026
https://github.com/muralisuvvani/airbnb-exploratory-analysis
Exploratory Data Analysis (EDA) on Airbnb NYC dataset to uncover trends, patterns, and insights. Data cleaning and visualization of Airbnb listings in New York City. Analyzing Airbnb NYC 2019 dataset using Python (Pandas, Numpy, Matplotlib, Seaborn)
analytics data-visualization exploratory-data-analysis numpy pandas python3
Last synced: 04 May 2026
https://github.com/ayaanjawaid/diwali-sales-analysis
The code file contains the Analysis of Diwali sales. Performed Exploratory Data Analysis (EDA) on Measure Values.
jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 29 Apr 2026
https://github.com/llwusill/nlpbadwords
NLP ile kötü sözcük tespiti
colab-notebook matplotlib nlp nlp-machine-learning nlp-parsing nltk notebook-jupyter numpy pandas python seaborn snowballstemmer wordcloud
Last synced: 04 May 2026
https://github.com/mark0011astra/simplecuda
CUDAを使用したGPU演算をNumPyと同様のインターフェースで簡単行えるライブラリ。A library that allows users to easily perform GPU operations using CUDA with a NumPy-like interface.
cuda cupy gpu machine-learning numpy python vector
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https://github.com/mdaiyub/face-mask-detection
Hello, Welcome to my mask detection project
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Python Script to view large image using scroll bars.
cv2 large-image large-image-preview numpy python3 tkinter
Last synced: 04 May 2026
https://github.com/arufonsekun/computer-vision
This repository hosts the code produced in dojos, week tasks, theoretical presentations during my attending time in the UFFS computer vision study group. (refactor in progress)
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https://github.com/akshay-kamath/visual-privacy-protection
An AI based application designed to protect visual privacy by anonymizing faces and obfuscating sensitive textual information (PII) in both images and videos
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https://github.com/priyanka7411/customer-churn-prediction
Customer Churn Prediction using machine learning. This project covers the full data science lifecycle—data cleaning, exploratory analysis, feature engineering, model building, and extracting actionable business insights.
jupyter-notebook model numpy pandas python random-forest-classifier scikit-learn-matplotlib-seaborn
Last synced: 04 May 2026
https://github.com/felixcharotte/housepredictions_tatahousing
Data science project of real estate price prediction website, deployed using a Flask server on AWS, incorporating machine learning for price prediction and a UX HTML/CSS/JavaScript for website building.
aws flask jupyter linear-regression numpy pandas python
Last synced: 09 Feb 2026
https://github.com/marksikaundi/30daysofdeeplearning
This challenge is designed to help you build a strong foundation in Python programming and deep learning over the course of 30 days. By the end of this challenge, you will have developed a comprehensive understanding of deep learning concepts.
data-science nlp numpy python pytorch tensorflow
Last synced: 04 Apr 2026
https://github.com/mnitin-reddy/anomaly-detection-in-server-networks
This project implements an anomaly detection algorithm to identify failing servers in a network. The model is trained on a dataset with throughput and latency features, estimating parameters for anomaly detection. The approach is extended to a high-dimensional dataset, showcasing its effectiveness in detecting outliers and anomalies
anamoly data-science machine-learning matplotlib numpy pyhton seaborn
Last synced: 19 Apr 2026
https://github.com/ankushmallick1100/task-2-the-sparks-foundation-data-science-and-business-analytics-internship
Task 02: Clustering using Unsupervised Machine Learning
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Last synced: 04 Apr 2026
https://github.com/isurusenarath1/weather-prediction-ml-model
Weather Prediction Using KNN
jupyter-notebook numpy pandas python
Last synced: 29 Apr 2026
https://github.com/ankushmallick1100/diabetes-prediction-of-females-using-maching-learning-techniques
This is a machine learning work that uses various machine learning algorithms to predict whether a patient is diabetic or not. Here various machine learning algorithms like SVM, RF Classifier, DT Classifier, KNN, LR , LR with CV, NB Classifier, and XGB are used. For this work, a website is made with Python Streamlit library.
classification cross-validation decision-tree-classifier diabetes diabetes-prediction jupyter jupyter-notebook logistic-regression machine-learning machine-learning-algorithms numpy pandas python random-forest random-forest-classifier regression streamlit support-vector-machine xgboost xgboost-classifier
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https://github.com/miroslav-reiter/kurz_ako_sa_stat_datovym_analytikom_python
🐍 Ako sa stať Dátovým ANALYTIKom v Pythone - Materiály, zdroje, skripty k večernému online školeniu Ako sa stať Dátovým Analytikom v Pythone pre Robime.it (Mentor Partners)
analysts analytics data-science math matplotlib numpy pandas python reiter scipy vizualisation
Last synced: 04 Apr 2026
https://github.com/tynoee/movies-data-anlysis
This project explores a dataset of movies sourced from IMDb (via Kaggle) to uncover trends and insights about movie production, popularity, ratings, and more.
jupyter-notebook kaggle-dataset matplotlib numpy pandas python seaborn
Last synced: 29 Apr 2026
https://github.com/h3ar7b3a7/exploringjupyterlab
This is just an exploration in using Jupyter Lab, Notebook and some useful Python libraries. Some basic commands, markups and extensions setup are documented here too.
bokeh extensions jupyterlab matplotlib notebook-jupyter numpy pandas
Last synced: 04 May 2026
https://github.com/harmanveer-2546/predicting-customer-churn-for-a-telecom-company
Customer churn is a significant issue for big business companies. Companies are attempting to create methods for predicting customer churn to get a direct impact on getting more revenues, particularly in telecom companies.
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Last synced: 04 May 2026
https://github.com/md-emon-hasan/learnpython.org
A repository Python programming language, covering fundamental concepts, advanced topics, and practical applications for beginners.
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Last synced: 04 May 2026
https://github.com/sarmadahmad8/digit-recognizer-91.4-accuracy
Digit Recognizer 91.4% accuracy
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Last synced: 05 May 2026
https://github.com/lynk4/your-first-machine-learning-model-in-python
Create your first machine learning model in python...........
datavisualization linear-regression machine-learning machinelearning machinelearning-python machinelearningmodel matplotlib ml model numpy pandas python random-forest
Last synced: 05 Apr 2026
https://github.com/emmanuelezenwere/aind-aiprojects
Portfolio of AI projects developed during my Udacity AI Nanodegree, covering Planning AI, Constraint Satisfaction, Hidden Markov Models, and Search algorithms.
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Last synced: 29 Apr 2026
