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: 2026-06-25 00:18:02 UTC
- JSON Representation
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/khushi130404/gradient_realm
Gradient_Realm is a Python project exploring regression techniques and optimization methods like Regularization, Batch, Stochastic, and Mini-batch Gradient Descent. It uses scikit-learn and custom implementations for hands-on learning.
batch-gradient-descent mini-batch-gradient-descent numpy stochastic-gradient-descent
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https://github.com/goessl/complex-random
A package for the most basic complex random sampling.
complex complex-numbers complex-plane normal-distribution numpy pip python random random-number-generator uniform-distribution unit-circle
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https://github.com/dino-kupinic/pocolocosolver
algorithmic solution with 3D visualization
algorithms numpy panda3d puzzle pytest python solver
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https://github.com/harshavardhanbommalata/knn_tutorial
K-Nearest Neighbors (KNN) is a simple yet powerful machine learning algorithm. Unlike models that learn parameters during training, KNN uses lazy learning—it stores the dataset and predicts by finding the closest neighbors, making decisions through majority voting.
machine-learning-algorithms mathematical-modelling matplotlib numpy pandas
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https://github.com/takana671/fluidcube
Particle Movement Using Curl Noise
curl-noise cython numpy panda3d python
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https://github.com/gerardomacedo/ml-from-scratch
Logistic regression from scratch (NumPy) with tests and CLI; compared vs scikit-learn
ci-cd from-scratch logistic-regresion machine-learning numpy python unittest
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https://github.com/no0bitah/pdf-highlight-extractor
A Python tool for extracting highlighted text from PDF files while preserving formatting attributes (headers, bold, italic) and removing unwanted line breaks and page breaks. Perfect for integrating with content management systems.
automation crm documentation-tool numpy opencv pdf pdf-document-processor pillow pymupdf pypdfium2 python3 scrapping
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https://github.com/swarup-ranjan-mondal/chat-analyzer
A streamlit app to analyze whatsapp personal and group chats.
matplotlib numpy pandas python seaborn streamlit
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https://github.com/charlenry/python_data_science
Mes notebooks de travaux pratiques sur Python pour la Data Science
analysis data dataframe jupyter kaggle matplotlib notebook numpy pandas pyplot python science seaborn visualisation
Last synced: 25 Jun 2026
https://github.com/jakubfr4czek/apartment-prices-analysis
This repository contains an analysis of apartments prices in Krakow. It was made for "Rachunek prawdopodobieństwa i statystyka" (probability and statistics) course i took at AGH University of Science.
agh agh-wi analysis csv jupyter jupyter-notebook krakow numpy pandas price-analysis price-prediction probability probability-statistics python statistics statistics-learning
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https://github.com/abhinav330/911-emergency-calls-analysis
This Python Notebook analyzes emergency call data from the '911.csv' dataset. It uses various data visualization techniques to explore and gain insights into the emergency call data, including the types of calls, reasons for calls, and call patterns over time.
data-analysis data-science data-visualization eda exploratory-data-analysis exploratory-data-visualizations numpy pandas python
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https://github.com/youssefyaser/scrape-the-imdb-site-for-the-top-250-movies
Web scraping the top 250 movies in IMDB site.
data-analysis numpy pandas python
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https://github.com/hanzopgp/randomkagglesolving
Trying to build models to resolve some interesting Kaggle datasets thanks to deep learning.
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https://github.com/abhishekyadav915/e-commerce-sales-analysis
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https://github.com/surayasumona/test_bowlers_analysis
Data Analysis with Python
data-analysis data-manipulation data-preprocessing numpy pandas
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https://github.com/aqueeqazam/machine-learning-using-scikit
This repository contains all of the algorithms used to train the machine learning models using the Scikit library.
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https://github.com/pabs-code/img-cartoonizer-using-opencv
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bilateral-filtering color-quantization edge-detection edge-enhancement laplacian-edge-detection numpy opencv python
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https://github.com/asuquoaa/applied_data_science_with_python_study
Notes, codes and practicals on the Applied Data Science with Python specialization by UM
matplotlib numpy pandas seaborn
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https://github.com/dmkk01/mlp-python
Implementation of a multilayer perceptron using Pytorch and Numpy libraries
Last synced: 05 May 2026
https://github.com/lorenzorottigni/ml-missing-values
Machine Learning course of Piero Savastano 5: ColumnTransformer, SimpleImputer, numpy
column-transformer machine-learning missing-values numpy simple-imputer
Last synced: 05 May 2026
https://github.com/lin826/nanogpt-demo
Training and finetuning local GPTs.
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https://github.com/navindafernando/face-recognition
Training a SVM Pipeline for Face Recognition :anger:
classification haar-cascade-classifier joblib machine-learning numpy opencv pipeline principal-component-analysis scikit-learn ski support-vector-machines
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https://github.com/vladd12/machine-learning-practice
Репозиторий для учебной практики и различных курсов, связанных с ИИ
json keras-tensorflow machine-learning numpy pandas pickle tensorflow2 torch xml
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https://github.com/bhaskarkulshrestha/rock-vs-mine-prediction
A machine learning project to predict whether an object detected underwater is a rock or a mine using Logistic Regression.
colab-notebook logistic-regression machine-learning numpy pandas python sckit-learn supervised-learning
Last synced: 05 May 2026
https://github.com/adamsochorec/applied-machine-learning
machine-learning numpy pandas python
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https://github.com/iamwatchdogs/retail-insights-from-superstore-data
An simple Data Analysis Project for finding insight within the Super store data set
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https://github.com/meicloudie/demo-python-data-analytics
Python Data Analytics
data-analyst jupyter matplotlib numpy pandas python work-project
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https://github.com/csgn/numpy-tr-docs
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https://github.com/vc-nithesh944/pandas_numpy
Practice repository for NumPy & Pandas with scripts, notebooks, and notes for future revision
Last synced: 05 May 2026
https://github.com/chandrasankarsaha-code/customer-churn-prediction
A machine learning project to predict customer churn.
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Last synced: 05 May 2026
https://github.com/badranalyst/residential-unit-prices-data-analysis-application
Python-based analysis of residential unit prices, focusing on data cleaning, visualization, and exploratory data analysis (EDA). Key features include price distribution, and correlation analysis between factors like size, location, and pricing.
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https://github.com/nabilshadman/multiprocessing-time-series-data-simulation
A simulation using multiprocessing to generate 10,000 time dependent samples from an initial dataset of 20 samples
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https://github.com/thomasa/python-intro
This is a Jupyter notebook slide show for a 2-hour crash intro to Python, NumPy, Matplotlib, and SciPy
matplotlib numpy python scipy tutorial
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https://github.com/celineboutinon/bookworms
OpenClassrooms Data Analyst 2022-2023 - Projet 6
apriori-algorithm data-analysis data-analytics data-visualisation dataframes matplotlib-pyplot mlxtend numpy pandas python scikit-learn scikit-posthocs scikitlearn seaborn statsmodels
Last synced: 05 May 2026
https://github.com/13anush/python-libraries-
A collection of essential Python libraries—NumPy, Pandas, Matplotlib, and Seaborn—perfect for anyone starting out in data analysis.
data-analysis matplotlib numpy pandas python seaborn
Last synced: 05 May 2026
https://github.com/zafir100100/cancer-stage-prediction
This code predicts cancer data using various regression models, calculates their average R-squared scores, and prints the best model.
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https://github.com/hitthecodelabs/petalanalyticsstreamlit
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HW of EN.650.672
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https://github.com/rayan-alam-uoit/space-x-launch-prediction-tool
A full-stack data science project analyzing SpaceX launch data using web scraping, REST APIs, SQL, interactive visualizations, and machine learning in Python to explore trends and predict launch success.
dash data-science folium jupyter-notebook machine-learning matplotlib numpy pandas plotly python seaborn sql sqlite
Last synced: 05 May 2026
https://github.com/patilsukanya/house-price-prediction
Libraries Used
matplotlib numpy pandas scikit-learn seaborn
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https://github.com/jeslipriya/expense-tracker
This is a smart expense tracking web app built with Flask that helps users manage and visualize their spending. It features Pandas and Numpy analysis to suggest ways to cut down on unnecessary expenses, with clean UI, graph visualizations, and secure login.
css flask-application full-stack html matplotlib numpy pandas
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https://github.com/himanshigautam-rgb/python_libraries
This repository contains operations in Matplotlib for data visualization, NumPy for numerical computations, and Pandas for data manipulation and analysis. These libraries work together to efficiently process, analyze, and visualize data.
matplotlib numpy pandas python3
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https://github.com/batrick-swaistan/nalaiya_thiran
Nalaiya Thiran IBM Course Training
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https://github.com/theadeelahmed/mall-customers-segmention
This project segments mall customers based on income, age, and shopping score. Using clustering techniques, it identifies key customer groups for targeted marketing campaigns. Tools used: Pandas, Matplotlib, Seaborn, and Scikit-learn
matplotlib-pyplot numpy pandas python3 seaborn sklearn-clustering
Last synced: 05 May 2026
https://github.com/fayzi-dev/salary_predict_app_by_streamlit
Salary predict App by Streamlit
numpy pandas pypickle streamlit streamlit-webapp
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https://github.com/rohra-mehak/sciencesync
System for Personalized Google Scholar Alerts Processing and Data Management, and provision of ML based clustering analysis
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nomissbowling.github.io
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https://github.com/jonad/quora_data_analysis
Exploratory data analysis and feature engineering on Quora dataset.
exploratory-data-analysis feature-extraction numpy pandas python3 quora-dataset
Last synced: 05 May 2026
https://github.com/abdelrahman-amen/neural_style_transfer
This project applies neural style transfer to create new images by merging the content of one image with the artistic style of another.
neuralstyletransfer numpy os python streamlit tensorflow
Last synced: 05 May 2026
https://github.com/sahaninilesh/future_ds_01_social-media-sentiments-analysis
The Social Media Sentiments Analysis Dataset captures a vibrant tapestry of emotions, trends, and interactions across various social media platforms. This dataset provides a snapshot of user-generated content, encompassing text, timestamps, hashtags, countries, likes, and retweets. Each entry unveils unique stories—moments of surprise, excitement,
jupyter matplotlib numpy pandas python
Last synced: 05 May 2026
https://github.com/amruta33/lead_scoring_case_study
An education company named X Education sells online courses to industry professionals. On any given day, many professionals who are interested in the courses land on their website and browse for courses.
bagging linear-regression numpy pandas python3
Last synced: 05 May 2026
https://github.com/vi-ssh-al/diamond-price-prediction
matplotlib ml numpy panda seaborn
Last synced: 05 May 2026
https://github.com/waghraj1699/fraud-detection-project
A fraud detection system with machine learning will be able to detect risk based on your historical data
data-processing decision-tree-classifier machine-learning numpy pandas
Last synced: 05 May 2026
https://github.com/debangshu9183/spam-mail-detection
To detect spam mail
logistic-regression machine-learning numpy pandas scikit-learn seaborn
Last synced: 05 May 2026
https://github.com/kalwalt/pybind-test
A simple example with pybind and numpy with C++ code
cplusplus numpy pybind11 python
Last synced: 05 May 2026
https://github.com/nxhawk/mln
Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.
decision-tree-classifier genetic-algorithm jupyter-notebook machine-learning-algorithms numpy pandas sklearn-library
Last synced: 06 May 2026
https://github.com/romanectatyana/fuel_norm
Practical data analytics case: calculating and optimizing fuel consumption norms for vehicles and heavy equipment. (Аналітичний проєкт із визначення норм витрат палива для автотранспорту та спецтехніки.)
matplotlib numpy pandas plotly power-bi
Last synced: 06 May 2026
https://github.com/leavers/npblob
Transfer numpy array between Python and JavaScript losslessly
array javascript matrix numpy python streaming typescript
Last synced: 06 May 2026
https://github.com/shwetapardhi/assignment-1-q9_b--basic-statistics-level-1
Q9) Calculate Skewness, Kurtosis & draw inferences on the following data SP and Weight(WT) Use Q9_b.csv
kurtosis matplotlib-pyplot numpy pandas python seaborn skewness
Last synced: 06 May 2026
https://github.com/kashinathbiradar/bangalore-housing-price-prediction
The objective of the project is to create a machine learning model. We are doing a supervised learning and our aim is to do predictive analysis to predict housing price.
css deta doc html machine-learning matplotlib numpy pandas preprocessing seaborn sklearn sql
Last synced: 06 May 2026
https://github.com/abdelrahman-amen/active_learning_with_different_query_strategies
This project explores the implementation of active learning techniques, focusing on various query strategies to optimize the selection of informative data points for model training. It aims to reduce the amount of labeled data required while improving model performance, especially in scenarios with limited labeled data.
activelearning cuda entropy kldivergence margin numpy python pyto uncertainty
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https://github.com/amirjahantab/deep-ml-solutions
ML Code Challenges
ai algorithms backpropagation data-science deep-learning-algorithms deep-neural-networks linear-algebra machine-learning machine-learning-algorithms mathematics matrix numpy pca python
Last synced: 06 May 2026
https://github.com/frolov-andrey2405/mandelbrot-s-fractal
Mandelbrot's Fractal Constructions
Last synced: 06 May 2026
https://github.com/billgewrgoulas/recommendation-systems
Algorithms for joke rating prediction using the joke data-set from Kaggle.
algorithm clustering collaborative-filtering machine-learning numpy pandas recommender-system scikit-learn scypi
Last synced: 06 May 2026
https://github.com/mat-kubiak/manual-ml
DIY ML framework (using only NumPy!) + various demos
artificial-intelligence examples machine-learning ml ml-framework neural-networks numpy
Last synced: 06 May 2026
https://github.com/sankaran-s2001/us-traffic-accidents-analysis-python-eda
Exploratory data analysis of US traffic accidents from 2016-2023, analyzing patterns by time, location, weather, and severity using Python data science libraries.
data-analysis data-science data-visualization eda matplolib numpy pandas python
Last synced: 06 May 2026
https://github.com/erick957/saleprice-prediction-dataset-analysis-and-cleaning-advance-regression
🏠 Predict house prices using advanced regression techniques with this comprehensive analysis and cleaning project, from data loading to model deployment.
data-analysis data-science eda google-colab machine-learning numpy pandas python scikit-learn scikit-learn-python
Last synced: 06 May 2026
https://github.com/andrewsy1004/logistic-regression-spam-classifier
This project implements a spam email classifier using Logistic Regression.
Last synced: 06 May 2026
https://github.com/abhinav330/customer-behavior-analysis-linear-regression
This repository explores customer behavior data for an NYC clothing company with both a mobile app and website. They want to understand which platform drives higher sales.
data-analysis data-science data-visualization eda exploratory-data-analysis jupyter jupyter-notebook linear-regression machine-learning machine-learning-algorithms machinelearning-python numpy pandas python regression-analysis
Last synced: 06 May 2026
https://github.com/mikma03/datascience_python_datacamp
DataScience with Python. Code and examples. Python libraries, including pandas, NumPy, Matplotlib, and many more.
data-analysis data-science datacamp datascience numpy pandas python
Last synced: 06 May 2026
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.
cost-function gradient-descent numpy visualization
Last synced: 06 May 2026
https://github.com/prachi-77/data-visualization
Data visualization using Python
barplot fooddata matplotlib-pyplot numpy pandas python restaurant visualizations
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/deanlogan/data-analysis-course
Code created when completing the Data Analysis with Python Course on freecodecamp.org
course data-analysis numpy pandas python python3
Last synced: 06 May 2026
https://github.com/paulo-santos-ds/llm
Um aplicativo web simples de tradução que converte texto do português para o inglês, construído com Streamlit e Google Translator
deeptranslate googletranslate numpy pyngrok python streamlit
Last synced: 06 May 2026
https://github.com/cycle-sync-ai/student-score-analysis
A data-driven student performance analysis project using UCI dataset (396 students, 33 features). Implements machine learning models (K-means, PCA, Decision Tree, Random Forest, Linear Regression) to analyze academic patterns and predict student scores based on lifestyle, health, and study habits.
clustering clustering-algorithm decision-trees feature-engineering learning-management-system linear-regression machine-learning machine-learning-algorithms matplotlib numpy pandas pca pickle prediction prediction-algorithm scikit-learn score seaborn student
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https://github.com/elmezianech/classifyreviews_nlp
Revolutionize customer feedback analysis with our NLP Insights Analyzer. Utilize cutting-edge text preprocessing to transform raw reviews into a machine-friendly format. Explore sentiment models, such as Logistic Regression and Naive Bayes, employing cross-validation for model robustness.
accuracy-score ai countvectorizer cross-validation joblib logistic-regression machine-learning ml multinomialnb naive-bayes-classifier nltk-library numpy pandas randomforestclassifier svc
Last synced: 06 May 2026
https://github.com/fbi555/fashion-mnist-cnn-tf
🧵 Classify fashion images using a compact CNN model in TensorFlow/Keras, designed for the Fashion-MNIST dataset with easy execution in Google Colab.
adam classification cnn colab-notebook computer-vision convolutional-neural-networks custom-training-loop deep-learning fashion-mnist gans image-classification interactive jupyter-notebook keras lowlevelapi mnist-dataset numpy regularization
Last synced: 06 May 2026
https://github.com/christiansassi/signal-image-and-video-project
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Last synced: 06 May 2026
https://github.com/williyam-m/company-registration-trends
Utilized Linear Regression from scikit-learn to predict future company registration trends.
flask matplotlib numpy pandas-python scikit-learn
Last synced: 06 May 2026
https://github.com/kavayk29/text-summarization-fine-tuning-pegasus-model
This project uses the Pegasus model to generate concise, coherent text summaries. Fine-tuned on large datasets, it excels in abstractive summarization, ideal for automating tasks like summarizing articles and research papers.
datasets huggingface-transformers matplotlib nltk numpy pandas teansform tqdm
Last synced: 06 May 2026
https://github.com/hansalemaos/cv2_collage
Create a collage from images with OpenCV
Last synced: 06 May 2026
https://github.com/kumar-o/customer-churn-prediction
🔍 Predict customer churn using a synthetic dataset with advanced models and metrics to enhance business retention strategies and decision-making.
churn-prediction customer-churn-prediction customer-survival-analysis data-science factorization-machines flask-application gridsearchcv libsvm machine-learning model-evaluation numpy pipelines roc-auc scikit-learn seaborn smote survival-analysis xgboost4j
Last synced: 06 May 2026
https://github.com/sahilmate/gesturepainter
Virtual Painting Application
gesturepainter mediapi numpy opencv virtualpaint
Last synced: 06 May 2026
https://github.com/fatihilhan42/lane-line-detection-with-python
In this project you will detect lane lines in images using Python and OpenCV. OpenCV means "Open-Source Computer Vision", which is a package that has many useful tools for analyzing images.
image-processing line-detection numpy opencv python
Last synced: 06 May 2026
https://github.com/dhruwsunita/iphones-eda-analysis
EDA analysis on apple products.
data-analysis data-visualization eda matplotlib numpy pandas plotly python seaborn
Last synced: 06 May 2026
https://github.com/jayanthpotluri5513/heart-disease-prediction-using-ml
This project aims to develop a machine learning model for heart disease prediction, leveraging the potential of advanced algorithms and a comprehensive dataset.
machine-learning matplotlib numpy pandas python
Last synced: 06 May 2026
https://github.com/jai0212/course-selector-uoft
A program that suggests university courses based on your program and provides a custom GUI to customize your course plan. Created to help UofT students
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Last synced: 06 May 2026
https://github.com/theweird-kid/ml-notes
Machine Learning Notes
machine-learning matplotlib numpy scikit-learn seaborn
Last synced: 06 May 2026
https://github.com/harmanveer-2546/student-performance-in-exam
Student performance analysis and prediction using datasets has become an essential component of modern education systems. With the increasing availability of data on student, schools and universities are using advanced analytics and machine learning algorithms to gain insights into student performance and predict future outcomes.
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Last synced: 06 May 2026
https://github.com/jcbritobr/iris-python
Simple data analysis using iris dataset, pandas, numpy, matplotlib and seaborn.
data-science matplotlib numpy pandas python seaborn
Last synced: 06 May 2026
https://github.com/jonolav95/advent_of_code_2022
Using Python with Pandas and Numpy (www.adventofcode.com).
Last synced: 06 May 2026
https://github.com/aleksibovellan/ai-2048-game
AI Heuristics in Python for solving the 2048 Game
2048 2048-game 2048-solver ai expectimax game heuristics numba numpy python python3
Last synced: 06 May 2026
https://github.com/kianaabrisham/svm-from-scratch
Linear SVM from scratch with hinge loss + decision boundaries
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Last synced: 07 May 2026
https://github.com/voorhs/ml-practice
ML algorithms implementation
aimasters lomonosov-msu machine-learning numpy python
Last synced: 07 May 2026