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/andrii-zapukhlyi/image_classifier_from_scratch
Image classifier from scratch using NumPy + CNN + Transfer Learning
cnn deep-learning image-classification machine-learning neural-networks numpy transfer-learning
Last synced: 16 Jun 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
Last synced: 18 Jun 2026
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/kirkalyn13/open-signal-report-generator
Script used to generate results/summary, including the trends of flagged provinces, from the raw excel data file,
data-analysis data-science data-visualization matplotlib numpy pandas python
Last synced: 19 Jun 2026
https://github.com/nikorasu/cellularautomata
Nik's Cellular Automata Projects
cellular-automata conways-game-of-life game-of-life game-of-life-python gameoflife john-conway life maze-generator numpy numpy-arrays pygame python python3 rle simulation turing-pattern turing-patterns
Last synced: 21 Apr 2026
https://github.com/eljandoubi/huggingface_image_classifier
Fine-tune the Vision Transformer (ViT) using LoRA and Optuna for hyperparameter search.
huggingface-datasets huggingface-optuna huggingface-peft huggingface-transformers hyperparameter-optimization image-classification numpy pytorch visual-transformer
Last synced: 10 May 2026
https://github.com/simran1002/strip-analyzer
The Strip Color Identification is used to analyze images of urine strips uploaded by users. Using computer vision techniques, particularly leveraging OpenCV, the interface identifies and extracts the colors present on the strip.
flask multer nodejs numpy opencv python reactjs
Last synced: 10 Apr 2026
https://github.com/guiferviz/happyml
Machine Learning Python library for academic purposes.
deep-learning deep-neural-networks learning machine-learning machine-learning-algorithms neural-network neural-networks numpy
Last synced: 03 May 2026
https://github.com/403errors/offset-to-hydrostatic-curve
Group project for making hydrostatic curves from the given ship offset table using python libraries
data-visualization matplotlib-pyplot numpy python3 sklearn
Last synced: 10 May 2026
https://github.com/italoseara/cet083
Medidas de Posiรงรฃo (ou separatrizes) - CET083
data-science matplotlib numpy pandas portuguese python statistics university
Last synced: 03 May 2026
https://github.com/nemeslaszlo/dog_breed_identification
Dog breed identification model to identify and label 120 different dog breeds.
matplotlib numpy pandas tensorflow tensorflow-hub
Last synced: 13 Apr 2026
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
https://github.com/kwanit1142/machine-learning-models-on-different-scenarios
Pattern Recognition and Machine Learning based Assignments and Labs, under Prof. Richa Singh in Course CSL2050.
deep-learning diabetes iris machine-learning matplotlib mlxtend mnist nltk numpy pandas pytorch regex seaborn sklearn
Last synced: 12 Apr 2026
https://github.com/iv4n-ga6l/realtime-car-traffic-tracking
Realtime car traffic tracking using yolov8 model
cartracking numpy opencv python ultralytics yolov8 yolov8n
Last synced: 02 May 2026
https://github.com/prashver/titanic-survival-prediction
This project tackles the Titanic challenge on Kaggle, predicting passenger survival based on variables like age, sex, and passenger class. The Jupyter notebook covers essential steps of a data science pipeline, including exploratory data analysis, data cleaning, feature engineering, and modeling. The dataset used is the Titanic dataset.
classification-algorithm machine-learning-algorithms matplotlib numpy pandas scikit-learn seaborn
Last synced: 02 May 2026
https://github.com/rakibhhridoy/machinelearning-featureselection
Before training a model or feed a model, first priority is on data,not in model. The more data is preprocessed and engineered the more model will learn. Feature selectio one of the methods processing data before feeding the model. Various feature selection techniques is shown here.
extratreesclassifier feature-selection gridsearchcv lasso-regression logistic-regression machine-learning numpy pandas pca rfe rfecv scikit-learn selectkbest
Last synced: 02 May 2026
https://github.com/drewstone/katz-centrality
Katz centrality of a wheelgraph
centrality graphs networks numpy
Last synced: 16 Apr 2026
https://github.com/khaymanii/titanic_survival_prediction_-model
This Model was built using Python and Logistic Regression algorithm
matplotlib numpy pandas python scikit-learn seaborn
Last synced: 02 May 2026
https://github.com/sarthak-1408/rain-fall-prediction
This repository represents the End to End Machine Learning Project (Rain Fall Prediction in Australia).
heroku heroku-deployment machine-learning numpy pandas rain-fall rain-fall-prediction scikit-learn xgboost-algorithm
Last synced: 05 May 2026
https://github.com/mihirh19/python
a repository for collaborative development and version control using Git that houses Python code files, documentation, tests, and other project-related files.
algorithms data-structures django fastapi flask machine-learning numpy pandas python
Last synced: 11 Apr 2026
https://github.com/k-ibadullaev/py-ssa-lib
Py-SSA-Lib: Python implementation of the multichannel singular spectrum analysis (MSSA) and singular spectrum analysis (SSA)
mssa numpy python singular-spectrum-analysis ssa time-series time-series-analysis time-series-forecasting
Last synced: 10 May 2026
https://github.com/venky-1710/stress-level-predection
Stress Level Prediction is a web app using machine learning to estimate user stress levels. It takes inputs like anxiety, sleep quality, and academic performance, then predicts stress using a Decision Tree Classifier. Built with Python, Flask, and scikit-learn, it's useful for students, researchers, and those interested in stress management.
css flask html machine-learning numpy pandas python python-sklearn scikit-learn
Last synced: 05 Apr 2026
https://github.com/heshanera/paclassifier
Online Passive Aggressive Binary Classifier
binary-classifier numpy passive-aggressive python
Last synced: 06 May 2026
https://github.com/camilajaviera91/prediction-of-housing-prices-using-linear-regression
This project provides tools to search for datasets on Kaggle, download and preprocess them, and perform predictions using a Linear Regression model. It includes interactive text-based user interfaces built with `curses`.
curses kaggle linear-regression matplotlib-pyplot mean-absolute-error mean-square-error numpy pandas pathlib python scikit-learn train-test-split
Last synced: 10 Apr 2026
https://github.com/pandeyankit123/books-recommender-system-using-machine-learning
This is a streamlit web application that can recommend various kinds of similar books based on an user interest.
jupyter-notebook machine-learning numpy pandas pickle python streamlit
Last synced: 12 Apr 2026
https://github.com/jeelmakani/wind-energy-forecasting
Wind energy Forecasting using Time series forecasting
forecasting machine-learning numpy pandas python3 seaborn tensorflow time-series time-series-analysis
Last synced: 05 Apr 2026
https://github.com/rvats20/python-programming-basic
Python programing basic to develop robust python applications.
data-science eda learning learning-by-doing matplotlib-python numpy pandas python
Last synced: 02 May 2026
https://github.com/y-india/project-smart-attendance-system-opencv
AI-powered Smart Attendance System using Face, Eye, and Mask detection โ 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
Last synced: 02 May 2026
https://github.com/quentinwidlocher/cours-python-pandas
Jupyter Lab sur le traitement des donnรฉes en python
jupyter-lab matplotlib numpy pandas python
Last synced: 13 Apr 2026
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
Last synced: 08 Jun 2026
https://github.com/scarblase/homeless-animals-analysis
A data-driven exploration of homeless animal statistics ๐ถ๐ฑ. Analyze age distribution, shelter dynamics, and adoption patterns using Python, Pandas, and Seaborn.
animals data-analysis data-mining data-science data-science-projects data-visualization matplotlib matplotlib-pyplot numpy pandas plotly python python3 ukraine
Last synced: 06 May 2026
https://github.com/antonio-f/building_a_recurrent_neural_network_step_by_step
Building a Recurrent Neural Network Step by Step
coursera deep-learning long-short-term-memory lstm numpy recurrent-neural-networks rnn step-by-step tutorial
Last synced: 30 Mar 2025
https://github.com/nissanjk/linear-solver
A Python desktop application to solve systems of linear equations using various numerical methods.
anaconda3 fpdf imageio matplotlib numpy python3 tkinter
Last synced: 16 May 2026
https://github.com/ujstor/streamlit-working-hours
The analysis pipeline involves combining the data forms, performing data cleaning, and starning streamlit server for statistical analysis.
data-pipeline numpy pandas statistics streamlit
Last synced: 06 May 2026
https://github.com/datarohit/opencv-document-scanner
This is a Document Scanner built using Python and OpenCV. It also has Image Saving Feature. You can adjust the thresholds to find the contours better.
numpy opencv opencv-python python
Last synced: 10 May 2026
https://github.com/octcarp-courses/SUSTech_CS303-AI_F23_Works
(49.8/50) Course code of CS303 2023 Fall: Artificial Intelligence, SUSTech. Taught by Prof. Ke TANG.
Last synced: 24 Oct 2025
https://github.com/hansalemaos/permutation_no_repetition
Permutation without repetition - written in Cython - for Numpy
cython data-science no-repetitions numpy pandas permutations
Last synced: 14 Jan 2026
https://github.com/gaurangdave/house_price_predictions
Machine Learning Application to predict House Prices
hands-on learning-by-doing machine-learning numpy pandas python scikit-learn
Last synced: 11 Apr 2026
https://github.com/aminakbari7/simple-data-science-with-excel
data-science excel machine-learning numpy pandas plot simple
Last synced: 06 May 2026
https://github.com/garcane/Income-Prediction-ML
This is a machine learning project aimed at predicting whether an individual's annual income exceeds $50,000 based on their demographic and personal information.
data data-science machine-learning ml numpy pandas python random-forest scikit-learn
Last synced: 24 Oct 2025
https://github.com/datarohit/fifa-2020--data-analysis
This is dataset is from Kaggle.com which contains data of 18000+ fifa players with more than 100 features about them for analysis. Simple analysis performed on this Dataset.
exploratory-data-analysis exploratory-data-visualizations matplotlib-pyplot numpy pandas seaborn
Last synced: 10 Apr 2026
https://github.com/sehgalnaval/olympics-data-analysis
I will be building an Olympics Data Analysis Web Application using Streamlit. For development, I will be using Python and Pandas. For plotting, I will be using Seaborn and Plotly libraries. The project will also be deployed to Heroku.
heroku jupyter-notebook matplotlib numpy pandas pycharm python seaborn
Last synced: 11 Apr 2026
https://github.com/asadullah-imran/student-performance-data-analysis
This is a very simple exploratory data analysis of Student Performance in a class. data is taken from Kaggle.
datanalysis matplotlib numpy pandas python seaborn
Last synced: 16 Apr 2026
https://github.com/khaymanii/house-price-prediction-model
This model was built using Python and XGBoost Regression algorithm
matplotlib numpy pandas python scikit-learn
Last synced: 06 May 2026
https://github.com/fiercex/toynn
Pythonๅฎ็ฐ็ฅ็ป็ฝ็ป
mnist-classification neural-network numpy python
Last synced: 15 May 2026
https://github.com/faisal-khann/diwali-sales-analysis
The "Diwali Sales Analysis" project aims to analyze the sales data during the Diwali festival period to uncover insights and trends that can help improve marketing strategies and sales performance in the future
csv data-analysis eda jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 11 Apr 2026
https://github.com/hanneskimara/ai-notebooks
Notebooks
mnist-classification neural-network notebook numpy
Last synced: 06 May 2026
https://github.com/avijit-jana/used-car-price-prediction
A Streamlit-based application utilizing machine learning to predict used car prices based on features like make, model, year, fuel type, and transmission, enhancing customer experience and streamlining the pricing process.
carpriceprediction data-science jupyter-notebooks machine-learning numpy pandas pickle pricing-data-science python3 streamlit streamlit-webapp webapplication
Last synced: 11 Apr 2026
https://github.com/bredalis/numpy
โจ Library to work with arrays โจ
arrays data matrix numpy numpy-arrays numpy-library python
Last synced: 06 May 2026
https://github.com/ola-kaznowska/ai-digit-recognition
AI digit recognition. Artificial neural network for digit recognition
ai artificial-intelligence machine-learning neural-network numpy tensorflow
Last synced: 14 Apr 2026
https://github.com/darshan12345678910/air-quality-prediction-ml-algorithms
AirPredict AQI prediction using classification algorithm
classification-algorithims gradio-interface numpy pandas
Last synced: 06 May 2026
https://github.com/nafisalawalidris/tools-for-data-science
It covers popular languages (Python, R, SQL) and libraries (NumPy, Pandas) used in the field. The author shares their objectives of teaching data analysis, web development, and critical thinking skills. The repository also includes code examples, explanations of arithmetic expressions, and contact information for the author.
arithmetic-expressions data-analysis data-science data-visualization languages libraries matplotlib numpy pandas programming python r sql tools web-development
Last synced: 11 Apr 2026
https://github.com/anarya22/heart-disease-classification
Predicting heart disease using machine learning. This notebook looks into various python base ML and DS libraries in an attempt to build a machine learning model capable of predicting whether or not someone has heart disease based on their medical attributes.
data-cleaning data-visualization machine-learning matplotlib numpy pandas scikit-learn
Last synced: 01 May 2026
https://github.com/nmsby/pca-machine-learning-lab
Principal Component Analysis (PCA) implementation and analysis lab for Machine Learning. Features manual PCA implementation, scikit-learn applications, data compression, and feature extraction with detailed visualizations.
data-analysis dimensionality-reduction jupyter-notebook machine-learning numpy pca python scikit-learn visualization
Last synced: 01 May 2026
https://github.com/sralter/term_deposit_marketing
Predicting which customers will most likely purchase a type of financial product, achieving a time savings of over 93%.
matplotlib numpy optuna pandas seaborn sklearn
Last synced: 30 Apr 2026
https://github.com/nazli-d/binary-classification-using-cnn
This project utilizes a CNN model to classify cat and dog images through training and testing processes. The model is created using the Keras library on the TensorFlow backend.
binary-classification cat-and-dog-classifier cnn convolutional-neural-networks flatten keras max-pooling numpy opencv python relu-activation sigmoid-function tensorflow
Last synced: 13 Apr 2026
https://github.com/yessasvini23/deepfake_immunization_toolkit
๐ก๏ธ AI-powered toolkit to detect deepfakes, educate users, and verify content authenticity using federated learning and blockchain. Built for election security, media integrity, and digital literacy.
blockchain matplotlib numpy opencv python pytorch scikit-learn
Last synced: 11 Apr 2026
https://github.com/epsoft/fingerprint-feature-extraction-master
Fingerprint Feature Extraction master
cv2 extraction farsi feature fingerprint iran master math morphology numpy persian skimage square
Last synced: 21 May 2026
https://github.com/abhishek010397/machinelearning-modeltraining
Machine Learning Model Training for Car Detection
keras-image-augmentation keras-image-classifier keras-tensorflow matplotlib numpy python3 rmsprop tensorflow2
Last synced: 30 Apr 2026
https://github.com/an4pdm/exercicios-de-numpy
Repositรณrio com exercรญcios bรกsicos de Numpy para praticar.
exercicios-python exercicios-resolvidos exercises jupyter-notebook jupyterlab numpy numpy-exercises numpy-python python study tutorials
Last synced: 06 May 2026
https://github.com/ladityagogoi/shadowguard
The ShadowGuard Browser Extension is a powerful tool designed to enhance user experience by identifying and highlighting potential dark patterns on websites. Our extension employs a combination of machine learning algorithms and natural language processing (NLP) models to detect and classify various deceptive design practices
css flask html javascript joblib numpy pandas python scikit-learn
Last synced: 11 Apr 2026
https://github.com/juanpablo70/pgad-nba-prediction-project
Programming for Data Analysis from Open Data Sources
data-science jupyter-notebook matplotlib mysql numpy pandas pymysql python scipy seaburn sqlalchemy
Last synced: 13 Apr 2026
https://github.com/nathanaelsantos/dynamic-maze-search-algorithms
Dynamic-Maze-Search-Algorithms
conda docker graph-tool inteligencia-artificial numpy pygame python
Last synced: 24 Jan 2026
https://github.com/armahdavi/unsupervised-clustering-ml---pm_source_detection-indoor-air
Indoor PM2.5 source detection algorithm using unsupervised clustering ML method (k-means clustering)
climate-data dbscan dbscan-clustering jupyter-notebook kmeans kmeans-clustering matplotlib-pyplot numpy pandas pca python signal-processing spyder-python-ide tsne
Last synced: 06 May 2026
https://github.com/babak2/synthea-data-analysis
Synthea Data Analysis
data-analysis data-visualization jupyter-notebook jupytext matplotlib numpy pandas python3 seaborn synthea
Last synced: 11 Apr 2026
https://github.com/mohd-mb2205153/data-science-project
A data analysis project using Python to study climate patterns and genocide-related datasets from Gaza and the West Bank.
climate-change data-science matplotlib numpy palestine python3
Last synced: 05 Mar 2026
https://github.com/satyanaryana-merla/financial-analysis-in-loan-analytics
sample datasets containing information about several loans, including details such as loan amount, interest rate, term duration, and other key characteristics. For this project, we need you to calculate a cash flow amortization schedule for each loan,
amortization amortization-schedule bank numpy pandas python
Last synced: 17 Apr 2026
https://github.com/ngirimana/decision-trees-and-random-forest-
For this project we will be exploring publicly available data from [LendingClub.com](www.lendingclub.com). Lending Club connects people who need money (borrowers) with people who have money (investors). Hopefully, as an investor you would want to invest in people who showed a profile of having a high probability of paying you back. We will try to create a model that will help predict this. Lending club had a [very interesting year in 2016](https://en.wikipedia.org/wiki/Lending_Club#2016), so let's check out some of their data and keep the context in mind. This data is from before they even went public. We will use lending data from 2007-2010 and be trying to classify and predict whether or not the borrower paid back their loan in full. You can download the data from [here](https://www.lendingclub.com/info/download-data.action) or just use the csv already provided. It's recommended you use the csv provided as it has been cleaned of NA values. Here are what the columns represent: * credit.policy: 1 if the customer meets the credit underwriting criteria of LendingClub.com, and 0 otherwise. * purpose: The purpose of the loan (takes values "credit_card", "debt_consolidation", "educational", "major_purchase", "small_business", and "all_other"). * int.rate: The interest rate of the loan, as a proportion (a rate of 11% would be stored as 0.11). Borrowers judged by LendingClub.com to be more risky are assigned higher interest rates. * installment: The monthly installments owed by the borrower if the loan is funded. * log.annual.inc: The natural log of the self-reported annual income of the borrower. * dti: The debt-to-income ratio of the borrower (amount of debt divided by annual income). * fico: The FICO credit score of the borrower. * days.with.cr.line: The number of days the borrower has had a credit line. * revol.bal: The borrower's revolving balance (amount unpaid at the end of the credit card billing cycle). * revol.util: The borrower's revolving line utilization rate (the amount of the credit line used relative to total credit available). * inq.last.6mths: The borrower's number of inquiries by creditors in the last 6 months. * delinq.2yrs: The number of times the borrower had been 30+ days past due on a payment in the past 2 years. * pub.rec: The borrower's number of derogatory public records (bankruptcy filings, tax liens, or judgments).
artificial-intelligence decision-tree-classifier machine-learning matplotlib numpy pandas python3 random-forest-classifier seaborn
Last synced: 11 Apr 2026
https://github.com/achuth-0908/hemoguard-anemia-predictor
A Web App incorporated with a Gradient Boosting Classifier Model, to predict Anemia with given data.
css flask html matplotlib numpy pandas python scikit-learn
Last synced: 11 Apr 2026
https://github.com/iBz-04/DiabetesCL
Predicting instances of diabetic & non-diabetic patients with Support vector machine classifier
data-science diabetes-prediction google-colab-notebook machine-learning machine-learning-projects medical-informatics numpy pandas-python python3 sckiit-learn svm-classifier
Last synced: 21 Oct 2025
https://github.com/kumartusha/data_scientist-ai-ml-_training_anudip_foundation
Anudip Foundation Data Analytics Training ๐ A repository containing projects, assignments, and coursework from the Anudip Foundation Data Analytics training program. This includes work on: ๐งน Data Cleaning & Preprocessing ๐ Data Visualization & EDA ๐ Statistical Analysis
excel matplotlib numpy pandas powerbi python scipy sql
Last synced: 10 Apr 2026
https://github.com/ayuhamaro/py_weight_estimation
้ซ้่ฎๅ้ ไผฐ
matplotlib numpy pandas python3 scikit-learn scipy
Last synced: 12 Apr 2026
https://github.com/mtgsoftworks/blink-detecion-player
It is a software that has the ability to stop and play the videos watched on youtube and rewind when the eyes of this software are closed and opened.
dlib numpy opencv-python python3 scipy selenium-webdriver
Last synced: 13 Apr 2026
https://github.com/nemeslaszlo/emergency-911-calls
Covers emergency (911) Calls: Fire, Traffic, EMS for Montgomery County, PA analysis with visualizations.
jupyter-notebook matplotlib numpy pandas seaborn
Last synced: 06 May 2026
https://github.com/datarohit/churn-prediction-for-bank
This Dataset has various information about customers of Bank. The Problem is that many customers tend to leave the bank so using the features give we have to predict whether a customer will leave the Bank or Not.
churn-prediction classification matplotlib-pyplot numpy pandas seaborn sklearn
Last synced: 17 Apr 2026
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
ai caffemodel computer-vision deep-learning nlp numpy ocr opencv pillow python3 tkinter
Last synced: 29 Apr 2026
https://github.com/thevarunsharma/similar-word-finder
A web application with Python backend which finds words similar to a given word, using pre-trained GloVe word embeddings.
flask-application machine-learning nlp numpy python word-embeddings
Last synced: 07 May 2026
https://github.com/arjunravi26/image-editor
A dajngo based image manipulation webiste
django jsonresponse numpy opencv pillow
Last synced: 17 Jun 2026
https://github.com/yunfanjiang/ml_interview_with_numpy
Implementation of ML algorithms using NumPy from scratch
from-scratch interview machine-learning machine-learning-algorithms numpy
Last synced: 29 Apr 2026
https://github.com/gehad-ahmed30/data-analysis
This repository offers a guide to data visualization with Pandas and includes practical examples and two complete projects. Learn to preprocess, analyze, and visualize datasets to solve real-world problems effectively.
analysis matplotlib numpy pandas python seaborn
Last synced: 07 May 2026
https://github.com/3rd-son/knn-breast-cancer-prediction-model-
A breast cancer prediction model using KNN with an accuracy of 96%
jupyter-notebook knn-classifier matplotlib numpy pandas python scikit-learn scipy search
Last synced: 11 Apr 2026
https://github.com/iv4n-ga6l/openpose-prediction
Person's body parts or joint position detection using openCV
detection numpy opencv prediction prediction-model python
Last synced: 17 Apr 2026
https://github.com/aryansk/movie-recommendation-system
A sophisticated movie recommendation system that suggests films based on user ratings and collaborative filtering techniques. Get personalized movie suggestions based on viewing patterns and user preferences! ๐ฏ
machine-learning machine-learning-algorithms matplotlib numpy pandas python recommender-system seaborn
Last synced: 29 Apr 2026
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/serhatderya/tabular-playground-series
This repository contains solutions of monthly Tabular Playground Series in Kaggle.
ai artificial-intelligence data data-preprocessing data-processing data-science data-visualization jupyter-notebook kaggle machine-learning numpy pandas python regression scikit-learn scikitlearn-machine-learning seaborn software statsmodels
Last synced: 11 Apr 2026
https://github.com/dhairyac/student-performance-analysis
Analyze and visualize features affecting student performance
decision-tree-classifier logistic-regression matplotlib numpy pandas random-forest-classifier scikit-learn seaborn
Last synced: 07 May 2026
https://github.com/spandey1296/internship_banking_ml_project
Machine Learning (Training + Internship) by InternshipStdio
decision-tree-classifier machine-learning-algorithms matplotlib-pyplot naive-bayes-classifier numpy pandas-dataframe regression-algorithms seaborn-plots sklearn-library supervised-learning
Last synced: 28 Apr 2026
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.
matplotlib numpy pandas seaborn sklearn sklearn-metrics
Last synced: 15 Apr 2026
https://github.com/pranav-bot/ml-dl-models-from-scratch
This contains the most commonly used machine learning and deep learning models written from scratch without the use if any libraries except Numpy which is used for calculations
deep-learning descion-tree from-scratch linear-regression logistic-regression machine-learning naive-bayes neural-networks numpy perceptron pytorch qlearning random-forest regression reinforcement-learning support-vector-machines svm
Last synced: 15 Apr 2026
https://github.com/platonn/comp-photography
Computational Photography course - University of Wroclaw
computational-photography image-processing numpy university-course
Last synced: 19 Jun 2026
