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/manorohith-03/attendance-system-using-face-recognition
The system leverages the Python programming language and several powerful libraries for image processing and face recognition. The ultimate goal is to provide a more efficient, accurate, and user-friendly attendance tracking solution.
face-recognition numpy opencv pandas python-3
Last synced: 30 Apr 2026
https://github.com/eryks1999/titanic-project
jupyter matplotlib numpy pandas python seaborn titanic-kaggle
Last synced: 30 Apr 2026
https://github.com/koki0702/chainer0
A Small Chainer (Chainer From Zero)
chainer deep-learning neural-networks numpy python
Last synced: 01 May 2026
https://github.com/priyanshgoantiya/confidence-interval-visualization
Confidence Interval Simulation
matplotlib numpy plotly seaborn
Last synced: 01 May 2026
https://github.com/tom-uchida/datascience_handbook
Python private lesson
data-science matplotlib numpy python
Last synced: 01 May 2026
https://github.com/macnianios/fandango
a udemy project for seaborn data visualizations and basic pandas commands
numpy pandas python seaborn seaborn-plots udemy-course-project
Last synced: 01 May 2026
https://github.com/splithor1zon/edu-barriermethodlp
Education material for learning/teaching of Linear Progrmming using Barrier Method. Presentation with commentary and python code available.
barrier-method convex-optimization cvxpy educational-project linear-programming numpy presentation python
Last synced: 01 May 2026
https://github.com/ismaelvr1999/bioinspiredalgorithms
This repository contains implementations of various bioinspired algorithms for optimization and machine learning.
machine-learning matplotlib numpy python tensorflow
Last synced: 01 May 2026
https://github.com/sandip2512/play-store-app-review-analysis
EDA on Play Store apps and user sentiment reviews
eda heatmaps matplotlib numpy pandas plotly seaborn sentiment-analysis
Last synced: 01 May 2026
https://github.com/mohhasan1/machine-learning
This repository is where I learn and store information about various machine learning libraries, such as Pandas, scikit-learn, and others. It serves as a personal reference for exploring and experimenting with different ML tools and techniques.
machine-learning matplotlib numpy pandas seaborn sklearn
Last synced: 01 May 2026
https://github.com/cbhihe/nn_binary-classifier
NN-based binary classification with logistic regression loss, back-propagation with gradient descent and optional regularization
classifier gradient-descent logistic-regression neural-network numpy python regularization sklearn
Last synced: 01 May 2026
https://github.com/abdoomohamedd/python-data-analysis-projects
A collection of data analysis projects that I have worked on. Each project involves cleaning data, performing exploratory data analysis (EDA), and creating visualizations to extract insights. The projects utilize various Python libraries, including pandas, numpy, matp
data-analysis data-analysis-python data-cleaning data-visualization matplotlib matplotlib-pyplot numpy pandas python
Last synced: 01 May 2026
https://github.com/paulo-santos-ds/analise_dados_musicais
Dashboard para compreender as preferências musicais dos ouvintes, tendências regionais e o impacto de artistas específicos.
Last synced: 01 May 2026
https://github.com/offthetab/nn_homework
Практические работы по нейронным сетям МИРЭА 3 курс.
gensim ignite matplotlib neural-network nltk numpy pandas scipy-stats seaborn torch torchvision
Last synced: 01 May 2026
https://github.com/dostuffthatmatters/jax-capability-analysis
demo repository containing the experiments for my master's seminar @ TUM
autograd click deep-learning huggingface jax jit-compilation mnist numpy python pytorch
Last synced: 01 May 2026
https://github.com/aniketwithpython/fundamentals-of-scientific-computing
Fundamentals of Scientific Computing (MS1980) Notebook
jupyter matplotlib numpy pandas python
Last synced: 01 May 2026
https://github.com/hariprasath-v/job-a-thon---may-2021
Exploratory Data Analysis
eda exploratory-data-analysis matplotlib missingno numpy pandas pandas-python plotnine
Last synced: 01 May 2026
https://github.com/muhammadadilnaeem/bcg-data-science-job-simulation-on-forage-august-2024
This repository contains all the tasks, code, and documentation completed during the BCG Data Science job simulation on The Forage platform. The simulation focused on analyzing customer churn, building predictive models, and presenting insights for a major utility company.
bcg customer-churn-prediction-with-machine-learning data data-science forage numpy pandas
Last synced: 01 May 2026
https://github.com/hamishivi/denserflow
A basic numpy neural net library. This achieved high marks in a uni assignment!
deep-learning neural-network numpy
Last synced: 18 May 2026
https://github.com/johanntf/direccion_maximo_crecimiento
Dirección de máximo crecimiento en una función multivariable dado un punto de partida
customtkinter matplotlib numpy python
Last synced: 18 May 2026
https://github.com/sanjanahombal/study-on-sentiment-analysis
This project explores the optimal combination of Bag-of-Words and TF-IDF vectorization with Naive Bayes and SVM for sentiment analysis. It evaluates performance using accuracy, precision, recall, and F1-score, addressing ethical concerns like data privacy and bias to improve sentiment classification in real-world applications.
bag-of-words confusionmatrix googlecollab gridsearch-crossvalidation matplotlib-pyplot naive-bayes-classifier numpy pandas seaborn sklearn svm-classifier tfidf-vectorizer
Last synced: 07 Jan 2026
https://github.com/sultanazhari/customer-habit-analysis-model
Megaline company wants to develop a model that can analyze consumer behavior and recommend one of Megaline's two new plans: Smart or Ultra. In this classification task, we need to develop a model that is able to choose the right package
accuracy-score decision-tree-classifier logistic-regression matplotlib-pyplot numpy pandas python3 random-forest-classifier seaborn train-test-using-sklearn
Last synced: 11 Apr 2026
https://github.com/lefteris-souflas/economic-connectedness-analysis
Jupyter notebook, replicating studies on social capital from Nature journal, analyze economic connectedness, upward income mobility, and more. Python and relevant datasets are utilized to recreate figures and analyses.
analytics choropleth-map json jupyter-notebook matplotlib matplotlib-pyplot numpy pandas plotly-express python3 regplot scatterplot seaborn stata visualization
Last synced: 07 Apr 2026
https://github.com/bearddan2000/python-web-3d-matplotlib-scatter-parametric-curve-graph
A demo of creating a 3d scatter parametric curve graph.
3d curve graph matplotlib numpy pandas parametric python scatter web
Last synced: 09 Apr 2026
https://github.com/santiagoenriquega/custom_neural_net
This repository focuses on building a neural network from scratch using only base python and Numpy.
gradient-descent neural-network numpy optimization python
Last synced: 18 May 2026
https://github.com/toon-van-berkel/imagetovideofx
ImageToVideoFX is a simple Python project that takes an image (JPG/PNG) and transforms it into a short video with a smooth zoom effect. You can optionally add background music. This is perfect for content creators or developers who want to automate turning images into engaging video content.
imagetovideo moviepy numpy pillow python
Last synced: 08 May 2025
https://github.com/trups39/nyc-green-taxi-trip-analysis
Analyze NYC Green Taxi data, predicting fares and optimizing pickup locations using Regression machine learning models uncover travel patterns.
numpy pandas predictive-modeling python3 regression-models skit
Last synced: 17 Feb 2026
https://github.com/hansalemaos/group_by_continuous_sequence
Groups lists/NumPy arrays by continuous sequence
Last synced: 19 Feb 2026
https://github.com/dor-sketch/audio-visual-synth
Combining real-time graphics, audio synthesis, and interactive elements to create an engaging, cross-platform music visualizer.
image-processing midi-player music-composition musicsheet notes-tool numpy pygame pygbag pyopengl
Last synced: 18 May 2026
https://github.com/ksalekk/ct-visualizer
computed-tomography dicom medical-imaging numpy pyside6 python
Last synced: 18 May 2026
https://github.com/rajesh9943/developing-a-bike-buyer-sales-report-dashboard-using-excel
This dataset has details of 1000 users from different backgrounds and whether or not they buy a bike. This data can be used to build the dashboard in Google Sheets. There are some NA (Null / Empty) values injected in the dataset. Use this dataset for Data Cleaning, Exploration, and Visualization.
excel google-sheets numpy pandas-library python3
Last synced: 17 May 2026
https://github.com/yash22222/analysis-of-amcat-aspiring-minds
Analyzing employment outcomes for engineering graduates based on a provided dataset. Specifically, it aims to verify a claim regarding the salary range for fresh graduates in certain engineering roles and investigate potential relationships between gender and specialization preferences.
amcat aspiring-minds charts computer-engineering data-analytics data-vizualisation dataset graph machine-learning matplotlib numpy pandas python seaborn
Last synced: 12 Apr 2026
https://github.com/yesenvidnath/facerecognito-pythonfacialrecognitionapplication
this is a web application created to detect faces using a pre-given image links through Excel format, this project uses Pytorch & Flask
Last synced: 10 Apr 2026
https://github.com/wondermongering/nonlineardatagen
A flexible Python framework for generating, fitting, and visualizing noisy nonlinear data. Perfect for educational purposes, algorithm testing, and demonstrating statistical concepts. Includes tools for various noise models, custom function fitting, robust error metrics, and publication-quality visualizations
curve-fitting data-simulation data-visualization education educational-tool interpolation mathematical-modelling matplotlib noise-modeling numpy regression-analysis scientific-computing scipy signal-processing statistics teaching-resource time-series-analysis
Last synced: 22 Aug 2025
https://github.com/altaris/turbo-broccoli
JSON (de)serialization extensions
bokeh json keras numpy pandas pytorch serialization sklearn tensorflow
Last synced: 04 Jan 2026
https://github.com/aminkhavari78/-maternal-health-risk-data-set
In this part I'm working on Maternal Health Risk Prediction
data-science linearsvc machine-learning matplotlib numpy pandas scatter-plot sklearn
Last synced: 05 May 2026
https://github.com/kr1shnasomani/facetronix
A toolkit for face detection, annotation, and mask recognition.
computer-vision deep-learning keras neural-network numpy opencv tensorflow
Last synced: 05 Apr 2026
https://github.com/yalai92/master_academic_projects
This repository is dedicated to showcasing the academic projects completed during my Master in Data Science & AI. The main objective is to show a collection of projects in various data science fields, including: data cleaning & preprocessing, data analysis, data visualization, machine learning, clustering, among others.
automation clustering data-merging google-colab jupyter-notebook machine-learning matplotlib numpy pandas powerbi python sklearn xgboost
Last synced: 13 Jun 2025
https://github.com/nermeenkamal/population_growth_analysis_and_visualization
Python
analysis data-science dataset matplotlib numpy pandas python seaborn visualization
Last synced: 02 May 2026
https://github.com/muhkartal/fr-framework
A modular and extensible face recognition framework featuring real-time detection, facial landmark analysis, and recognition with API support.
dlib face-recognition fastapi numpy opencv pillow pydantic python-multipart requests scipy uvicorn
Last synced: 13 Apr 2026
https://github.com/nikhilfuke1/movies-recommendation-system-python-project-
This project is a simple movie recommendation system built using Python. It suggests movies based on the similarity of titles and a predefined similarity score matrix.
difflib numpy pandas python sklearn
Last synced: 30 Dec 2025
https://github.com/raminbadri/machine-learning-with-python
This where I will upload all my machine learning projects and samples
classification clustering data-science jupyter-notebook machine-learning matplotlib numpy pandas python3 regreession scikit-learn
Last synced: 12 Apr 2026
https://github.com/guifernandess7/ciencia-de-dados-e-ml-notebooks
Notebooks com uso dos módulos Pandas, Numpy e Matplotlib para análise de dados e criação de gráficos e tensorFlow e seaborn para machine learning e visualização
machine-learning matplotlib numpy pandas python tensorflow
Last synced: 04 Apr 2026
https://github.com/lgope/book-recommender-system
Book recommender system a Collaborative Filtering Based Recommender System using Machine Learning, Numpy, Pandas Python, Flask, Kaggle Dataset
collaborative-filtering flask html-css jupyter-notebook kaggle-dataset machine-learning numpy pandas python
Last synced: 13 Apr 2026
https://github.com/nellyndj52/breast-cancer-classification-ml
This project aims to build a machine learning models to predict whether a tumor is malignant or benign based on the Breast Cancer dataset. Various classification algorithms are tested, including Logistic Regression, Random Forest, and Support Vector Machine (SVM).
breast-cancer cancer dataset flask-api heroku-deployment lime machine-learning mlp-networks numpy perceptron-neural-networks pickle segmentation support-vector-machines svm
Last synced: 03 Apr 2025
https://github.com/zalkklop/lvsm
Official code for "LVSM: A Large View Synthesis Model with Minimal 3D Inductive Bias" (ICLR 2025 Oral)
attention-mechanisms deep-learning github-config large-view-synthesis matplotlib multi-label-classification nltk numpy one-vs-rest python seaborn sql tensorflow transformers
Last synced: 09 Apr 2025
https://github.com/adikahnf/Data-analysis-with-Python
data-analysis numpy pandas python streamlit
Last synced: 31 Dec 2025
https://github.com/sudarshanc00/brain-tumor-classification
This project uses a deep learning model in PyTorch to classify brain MRI images into four tumor types, aiding early diagnosis and treatment planning. Two ResNet-based models were developed and optimized, achieving high accuracy to support healthcare professionals in identifying tumor categories.
matplotlib numpy pytorch resnet scikit-learn streamlit
Last synced: 10 Apr 2026
https://github.com/mathensley/asimpleneuralnetworklib
A simple library in Python for training datasets using neural network models
deep-learning neural-networks numpy python
Last synced: 19 Apr 2026
https://github.com/firewind25/gdp-data-extraction-and-processing
Data Extraction from a web resource using Web-Scraping and request APIs. Processed it using Pandas and NumPy libraries. Finally exporting it to csv file for further analysis
numpy pandas python webscraping
Last synced: 12 Jul 2025
https://github.com/blinksta1ker/spam-mail-classification
Supervised ML model using Logistic Regression model to classify an email as Ham or Spam
jupyter-notebook logistic-regression machine-learning numpy pandas python sklearn supervised-machine-learning
Last synced: 09 Apr 2026
https://github.com/DYK-Team/vna-impedance-measurements
Calibration and deembedding for impedance measurments
antenna-equation cst-studio de-embedding delay-time lab-automation magneto-impedance microstrip numpy pcb-cells phase-unwrapping probe python rohde-schwarz scattering-parameters scpi-instruments sensors solt-calibration surface-impedance vna zhejiang-university
Last synced: 08 May 2025
https://github.com/zombietdv/cnn_and_beta-vae-
CNN and Beta-VAE implementation. Only Numpy as the main library.
automatic-differentiation backpropagation-algorithm beta-vae cnn deep-learning numpy optimization-algorithms
Last synced: 21 Mar 2025
https://github.com/mnitin-reddy/image-compression-using-k-means-clustering
This project implements the K-means algorithm for clustering and image compression. It reduces the number of colors in an image using K-means, achieving compression while maintaining key visual features. The project demonstrates the process on a sample dataset and a real image.
image-processing imagecompression kmeans-clustering machine-learning matplotlib numpy
Last synced: 19 May 2026
https://github.com/shshojaei/python-tutorial
Python tutorials
jupyter-notebook matplotlib numpy pandas programming-t python python-tutorial scipy seaborn tutorial
Last synced: 05 Apr 2026
https://github.com/paulinhok14/csgo-datascience-project
📊 Analysis of CS:GO grenade usage patterns and their impact on match outcomes using data science and statistical methods.
matplotlib mlflow numpy python scikit-learn scipy seaborn
Last synced: 30 Dec 2025
https://github.com/kasraskari/learn-python-codes
A beginner-friendly repository to learn Python programming through structured examples and scripts, covering topics from basics to advanced concepts.
jupyter-notebook matplotlib matplotlib-tutorial numpy numpy-tutorial pandas pandas-tutorial python python-learning python-tutorial python-tutorials scipy scipy-tutorial tutorials
Last synced: 09 Apr 2026
https://github.com/Madhuresh2011/Leetcode-Questions-Analysis-Using-Python
The LeetCode Question Analysis is a Python-based project designed to help users analyze and gain insights into LeetCode problems. It allows users to track, categorize, and evaluate their progress, identify patterns in problem-solving, and optimize the preparation.
analysis csv-files matplotlib-pyplot numpy pandas python python-project seaborn
Last synced: 13 Sep 2025
https://github.com/magzybog12/real-time-object-distance-measurement-using-opencv-python
Using an A4 paper as a guide, performing the distance measurements to find the height and width of objects placed in the region
numpy opencv-python pycharm-ide
Last synced: 05 May 2026
https://github.com/christabelsakyi/employee_attrition_prediction
This project implements a machine learning pipeline for predicting employee attrition using HR data. The system analyzes various factors that contribute to employee turnover and provides predictions to help HR departments take preventive measures.
machine-learning numpy pandas plotly python sklearn streamlit
Last synced: 09 Apr 2026
https://github.com/redinfinitypro/ai_projects
Rating (7/10) The code is a chatbot that interacts with users based on article content. However, issues include incorrect sorting, typos, incorrect indentation, and lack of explanations for each part, potentially affecting the bot's robustness and understanding of context.
newspaper nltk numpy python random sklearn string warnings
Last synced: 20 Jul 2025
https://github.com/danish-jamil-01/image-dehazer
Remove the haze from the image using dark channel prior and guided filter
dark-channel-prior guided-filter guided-filtering ndimage numpy open-cv opencv opencv-python pillow python scipy skimage tkinter
Last synced: 09 Apr 2026
https://github.com/tahir1072a/titanic-veri-analizi
Kaggle Titanic veri seti kullanılarak NumPy ve Pandas ile yapılan veri analizi projesi.
data-science kaggle numpy pandas python titanic-survival-prediction
Last synced: 30 Dec 2025
https://github.com/chubi-x/sort-it-image-classifier
Sort-it is an image classification application that classifies images of cats, dogs, bicycles, cars, and motorcycles.
image-classification machine-learning numpy pandas python streamlit tensorflow
Last synced: 05 Apr 2026
https://github.com/memgonzales/order-brushing-shopee2020
Solution to the Week 1 Contest (Student Category) of the 2020 Shopee Code League on order brushing detection
data-analytics e-commerce fraud-detection jupyter-notebook numpy order-brushing pandas python rule-based
Last synced: 11 Apr 2026
https://github.com/omarnahhass/crypto-cast
CryptoCast is a machine learning-powered tool that showcases three fundamental prediction models for forecasting cryptocurrency prices
cryptocurrency machine-learning numpy pandas python
Last synced: 05 May 2026
https://github.com/pramodyasahan/custom-image-classification-model
This repository hosts a TensorFlow-based custom image classification model. The model is designed to classify images into binary classes, labeled as 'Happy' and 'Sad'.
computer-vision convolutional-neural-networks cv2 keras matplotlib numpy tensorflow
Last synced: 11 Apr 2026
https://github.com/bishopce16/movies-etl
The goal of this project was to create an automated pipeline for a company Amazing Prime that is hosting a hackathon.
json numpy pandas pgadmin4 psycopg2 python regular-expressions sql sqlalchemy time
Last synced: 11 Apr 2026
https://github.com/elmezianech/email-spam-ham-classifier-lr
Email Classifier: A machine learning project using Python that categorizes emails into spam and ham (non-spam). Utilizes the Scikit-Learn library, employing logistic regression and TF-IDF (Term Frequency-Inverse Document Frequency) vectorization for text analysis and classification.
ai emails jupyter-notebook logistic-regression machine-learning ml numpy pandas python spam-detection spam-filtering tfidfvectorizer
Last synced: 09 Apr 2026
https://github.com/sagravela/plotground
Plotting Tool with Matplotlib and Tkinter. Video Demo:
matplotlib numpy python tkinter
Last synced: 19 May 2026
https://github.com/urvee1810/bitcoin-price-forecasting-using-arma
The analysis reveals the challenges of predicting Bitcoin prices during highly volatile periods and demonstrates how traditional time series models perform under different market conditions. The project includes comparative analysis of model performance during stable and volatile market phases.
arima arma augmented-dickey-fuller-test feature-engineering machine-learning matplotlib mplfina numpy pandas python random-forest randomforestregressor scikit-learn seaborn statsmodels time-series-analysis
Last synced: 06 Mar 2026
https://github.com/quickheaven/python-for-data-science-and-machine-learning-bootcamp
Python for Data Science and Machine Learning Bootcamp
data-science linear-regression logistic-regression machine-learning matplotlib numpy pandas python seaborn
Last synced: 10 Apr 2026
https://github.com/martinkersner/kmeans-meetup
Presentation about k-Means for Seoul AI Meetup on July 22, 2017.
kmeans numpy python scikit-learn
Last synced: 03 May 2026
https://github.com/poziloi/-math-
Системы компьютерной математики, задания
jupyter-notebook math matplotlib numpy pandas python scipy seaborn
Last synced: 30 Dec 2025
https://github.com/chandkund/recipe-recommendations
The Recipe Recommendations project leverages natural language processing (NLP) techniques to process recipe descriptions and classify them into categories like desserts, main courses, and more. The system provides personalized recommendations by analyzing the text input and suggesting relevant recipes.
embeddings matplotlib nlp numpy pandas softmax tensorflow
Last synced: 06 Apr 2026
https://github.com/dhanas3kar/python-libraries
Practice codes using Python libraries like NumPy, SciPy, Matplotlib, Pandas, and others. Covers basics, examples, and simple exercises for learning data handling, numerical computing, and visualization.
coding-excersise data-analytics-project data-v matplotlib numpy pandas practice python python-libraries scipy
Last synced: 09 Apr 2026
https://github.com/andreazoccatelli/knn_fromscratch
knn implementation in numpy
classification knn-classifier machine-learning numpy
Last synced: 19 May 2026
https://github.com/adirbella37/safety-analytics-project
Final project in Safety Management: analytics and predictive modeling for occupational incidents. Includes EDA, logistic regression, Poisson/Negative Binomial with overdispersion checks, ROC/AUC, and prediction exercises.
classification data-visualization drunk-and-drive eda logistic-regression matplotlib negative-binomial numpy occupational-safety overdispersion pandas poisson-regression python road-safety roc-auc scikit-learn seaborn statmodels
Last synced: 09 Apr 2026
https://github.com/ahmedabdalkreem/preprocessing
All you need to be dataset ready to work in model without any Noise.
Last synced: 07 Apr 2026
https://github.com/ashishsingh789/customer_purchase_prediction_using_decision-tree-_classifier
Decision Tree Classifier to predict customer purchases using demographic and behavioral data. Key steps: data preprocessing, EDA, model training, evaluation, and feature importance analysis.
data datascience desiciontree eda machine-learning-algorithms matplotlib numpy pandas-dataframe python seaborn
Last synced: 11 Apr 2026
https://github.com/abideen-olawuwo/loan
A loan prediction modes
adaboostclassifier catboost-classifier gaussian knearest-neighbor-algorithm linear-svc logistic-regression matplotlib naive-bayes-classifier numpy pandas sklearn xgboost
Last synced: 10 Apr 2026
https://github.com/suthar345piyush/churn-prediction-project
Churn Prediction Model ( using ANN )
artificial-neural-networks matplotlib numpy pandas-dataframe python seaborn sklearn tensorflow
Last synced: 09 Apr 2026
https://github.com/thavinduushan/linear-regression
A linear regression model to predict premium price of an insurance. The dataset includes around 1,000 observations. The project, aimed at learning, was implemented in Jupyter notebooks using NumPy, Matplotlib, Pandas, Keras, and TensorFlow.
matplotlib numpy pandas python tensorflow
Last synced: 09 Apr 2026
https://github.com/hariprasath-v/machinehack-odetocode_predicting_weather_using_alien_fruit_properties
Identify the type of climate the exoplanet has based on the properties of the fruit by using machine learning.
catboost machine-learning matplotlib numpy pandas seaborn shap sklearn
Last synced: 11 Apr 2026
https://github.com/ashwathdazur/understanding-ds-using-python
Python NumPy, Pandas, Matplotlib and Seaborn for Data Analysis, Data Science and ML. Pre-machine learning Analysis.
data-science dataanalysis matplotlib numpy panda python3
Last synced: 19 May 2026
https://github.com/abhijeet107/household-transactions-analysis-report
This project analyzes household financial transactions spanning from 2015 to 2018, focusing on income, expenses, net savings, and spending patterns across categories and modes of payment.
matplotlib numpy pandas powerbi python seborn
Last synced: 11 Apr 2026
https://github.com/navindafernando/heart-disease-prediction
Deploying the heart risk level predicting Regression model in a web application using Flask :white_flower:
flask html joblib machine-learning numpy supervised
Last synced: 06 May 2026
https://github.com/nazmul-1117/100-days-of-machine-learning
I'm Nazmul so exited to start a new journey to learn 100 Days of Machine Learning. It's February 8, 2025. I'm so exited, let's see what happened insha'Allah
data-science machine-learning numpy pandas-dataframe python3 scikit-learn statistics
Last synced: 11 Aug 2025