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/iamkushvanth/marketing-campaign-analysis
Data analysis comparing the performance of Facebook and AdWords ad campaigns in 2019, Using Statical Methods such as A/B test focusing on clicks, conversions, cost-effectiveness, and seasonal trends.
ab-testing hypothesis-testing linear-regression matplotlib-pyplot numpy pandas python regression-analysis scikit-learn scipy stastistics
Last synced: 07 Apr 2026
https://github.com/jillmpla/pythonxmldatabase
A Python & XML database application for a book collection.
database matplotlib numpy pandas pandas-dataframe python xml
Last synced: 12 Apr 2026
https://github.com/bhiogade/hpi-analysis
House price index (HPI) Analysis
data-analysis data-cleaning data-visualization gathering-data numpy pandas-python
Last synced: 30 Apr 2026
https://github.com/sadegh15khedry/creditcard-transaction-anomaly-detection-using-isolationforest
detecting fraudulent transactions in credit card data using anomaly detection techniques.
anomaly-detection matplotlib numpy pandas python seaborn sklearn
Last synced: 27 Feb 2025
https://github.com/kaladabrio2020/algebra-linear-computacional
algebra cpp matplotlib numpy python
Last synced: 12 Apr 2026
https://github.com/id-andyyy/alfahack
📈💰 Investment propensity prediction model
catboost hackathon-project jupyter lightgbm numpy optuna pandas python scikit-learn
Last synced: 12 Apr 2026
https://github.com/adarshpheonix2810/fake-job-post-detection
This project focuses on detecting fake job posts using machine learning. Fake job advertisements are often created to scam individuals by stealing personal information or money.
data-analysis deep-learning joblib machine-learning nlp-machine-learning numpy pandas python scikit-learn tkinter
Last synced: 12 Apr 2026
https://github.com/hairymax/python-for-science-lecture-notes
Tutorial material on the scientific Python ecosystem in Russian
matplotlib numpy python scipy sympy
Last synced: 12 Apr 2026
https://github.com/khushi130404/echobot
EchoBot is a chatbot built using TensorFlow to classify user inputs into predefined intents and respond accordingly. It uses a neural network trained with the data in intents.json.
keras nlp nltk numpy pickle tensorflow
Last synced: 12 Apr 2026
https://github.com/abdulloyev/datascientis-opensource
big-data linear-regression numpy pandas polinomial-regression python-3
Last synced: 12 Apr 2026
https://github.com/3rd-son/movie-streaming-service-analysis
Exploratory Data Analysis of the Streaming Services like Neflix, Hulu, Disney+ etc
data-analysis exploratory-data-analysis jupyter-notebook matplotlib numpy pandas plotly python seaborn
Last synced: 18 Apr 2026
https://github.com/georgehanymilad/online-payments-fraud-detection
Machine Learning Project
anaconda class classification-algorithm data-science dataanalysis kaggle machine-learning machine-learning-algorithms matpolotlib numpy pandas python python3 seaborn
Last synced: 12 Apr 2026
https://github.com/allenvox/statistics
Workspace for applied problems of probability theory & mathematical statistics & modelling class
acf autocorrelation distribution k-means k-means-clustering maths matplotlib numpy probability-theory python sklearn statistics
Last synced: 17 Apr 2026
https://github.com/manojkp08/student-performance-analysis
The Student Performance Analyzer is your go-to solution for understanding and improving student performance. By blending the power of machine learning with interactive visualizations, this tool provides educators and learners with personalized insights into learning styles, performance gaps, and actionable improvements.
machine-learning numpy pandas python requests scikit-learn streamlit
Last synced: 12 Apr 2026
https://github.com/shibam120302/indian_sign_language_translator
This repository consists of the code utilized for creation of an Indian Sign Language Translator satisfying the following criteria : Near-Real-Time Application Achieve background independence Attain Illumination independence
imageai keras numpy opencv pillow tensorflow
Last synced: 12 Apr 2026
https://github.com/mzayles/base_vendas_dataprep
💻📊✅ Curso de Programação em Python para Data Science | Preparando e tratando dados com Pandas e NumPy.
Last synced: 24 Mar 2025
https://github.com/sultanazhari/prediction-model-of-customers-leaving
Bank Beta Company focus on retain existing customers, our task is to create a model that predicts whether or not a customer will leave the bank soon.
accuracy-score confusion-matrix logistic-regression-algorithm matplotlib-pyplot numpy pandas python3 random-forest roc-auc-score seaborn train-test-using-sklearn
Last synced: 20 Apr 2026
https://github.com/raoulnormand/easygrader
A library to easily calculate course grades.
gradebook gradescope numpy pandas teaching-tool
Last synced: 10 Mar 2025
https://github.com/kunalshelke90/students_marks_prediction_in_exams
Students Performance Evaluation using Feature Engineering, Feature Extraction, Manipulation of Data, Data Analysis, Data Visualization .Later on deployed on AWS with help of docker
dokcerfile flask githubactions machine-learning matplotlib mlops numpy pandas python seaborn
Last synced: 12 Apr 2026
https://github.com/azaz9026/car_price_prediction_model
This repository contains a machine learning model designed to predict car prices based on various features. Using historical data on car attributes such as make, model, year, mileage, and other relevant factors, the model aims to provide accurate and reliable price estimates for used cars.
data-analysis data-engineering liner-regestion machine-learning modeling numpy pandas python3 rendering
Last synced: 09 Apr 2026
https://github.com/tugot17/linear-regression-from-scratch
Linear Regression concepts and intuitions presented using Jupyter Notebooks
from-scratch linear-regression numpy python
Last synced: 11 Jul 2025
https://github.com/khushi130404/catnet
CatNet is a simple machine learning project that classifies images as either a cat or not a cat using logistic regression. The dataset consists of labeled images of cats and non-cats, preprocessed and used to train a binary classification model.
h5py matplotlib numpy pillow scipy
Last synced: 12 Apr 2026
https://github.com/darkusphantom/newton-method
7 ejercicios practicos del método de Newton en la programación computacional
computational-maths numpy python
Last synced: 25 Mar 2025
https://github.com/kareem74x/data-mining-uni-project
A project focused on applying data mining techniques to extract insights from datasets
data-mining matplotlib numpy pandas python
Last synced: 25 Feb 2026
https://github.com/ds-python-programmers-spectrum/flipkart-sentimental_analysis-app
The Flipkart Sentiment Analysis project aims to analyze customer reviews of Flipkart products using Natural Language Processing (NLP) and visualize insights through a Streamlit-based web application. This system will classify customer feedback as positive, negative, or neutral
machine-learning nltk numpy pandas sentiment-analysis streamlit-webapp textblob vader-sentiment-analysis
Last synced: 22 Jun 2025
https://github.com/akashash01/random_forest
It enable learning method for classification, regression and other task. Operates by building multiple decision tree ay training time. It is much more robust than Decision Tree algorithm.
data-science machine-learning numpy pandas python random-forest-classifier sklearn supervised-learning
Last synced: 01 Apr 2025
https://github.com/urvee1810/market_basket_analysis
A data mining project analyzing Instacart's 3 million grocery orders to uncover customer shopping patterns and product associations. Using market basket analysis and the Apriori algorithm, the project reveals key insights about shopping behavior, product combinations, and temporal patterns, providing valuable recommendations for retail strategy
apriori-algorithm data-mining data-visualization machine-learning market-basket-analysis matplotlib mlxtend numpy pandas python seaborn
Last synced: 12 Apr 2026
https://github.com/rohitinu6/image_cartoonify
To Cartoonify an Image using opencv-python
image-processing matplotlib numpy opencv opencv-python python
Last synced: 12 Apr 2026
https://github.com/arrmansa/leetcode-nice-solutions
Some solutions for leetcode problems that I found fun - either the algorithm or using numpy bruteforce where it shouldn't be
leetcode leetcode-python leetcode-python3 leetcode-solutions numpy python python3
Last synced: 16 Mar 2025
https://github.com/techcsispit/algorithmic-trading
This project focuses on algorithmic training using Python in Jupyter Notebooks. It covers various data structures and algorithms, providing a hands-on approach to solving algorithmic challenges. The notebooks are designed to be interactive and educational for learners of all levels.
matplotlib numpy pandas python sklearn
Last synced: 04 Sep 2025
https://github.com/aneeshmurali-n/python-tasks
Here we are going to learn data science and python by doing tasks by task
data-science data-visualization exploratory-data-analysis filter lambda lambda-functions map-reduce matplotlib numpy oops-in-python pandas python python-fundamentals regex regular-expression
Last synced: 12 Apr 2026
https://github.com/hrolive/fundamentals-of-accelerated-data-science
How to use GPU-accelerated tools to conduct data science faster, leading to more scalable, reliable, and cost-effective results.
accelerated-computing bokeh cudf cugraph cuml cupy dask data-science jupyter numpy pandas python rapids xgboost
Last synced: 12 Apr 2026
https://github.com/rishabhmathur06/data_analysis-netflix
data data-analytics data-science matplotlib-pyplot numpy pandas python seaborn
Last synced: 12 Apr 2026
https://github.com/parth-jatav/super-store-analysis-project
The Super Store Analysis project leverages Python libraries such as pandas, matplotlib, and numpy to perform a comprehensive analysis of a retail store's data. This project includes data cleaning, visualization, and statistical analysis to identify key trends, optimize inventory, enhance decision-making processes for improved business performance.
data-analysis matplotlib numpy pandas python super-store
Last synced: 12 Apr 2026
https://github.com/apal21/tensorflow-linear-regression-fit-data
Fit a line passing through data with some random noise using Tensorflow linear regression with Gradient Descent Optimizer.
gradient-descent linear-regression numpy python3 tensorflow
Last synced: 12 Apr 2026
https://github.com/gyselle-marques/reconhecimentofacial-desafiodio
Machine Learning: Sistema de Reconhecimento Facial criado com OpenCV e YOLO11.
colab-notebook dataset dio-bootcamp face-detection face-recognition image-classification machine-learning numpy object-detection opencv opencv-python portuguese-brazilian python transfer-learning yolo yolov11
Last synced: 12 Apr 2026
https://github.com/lmizner/codecademy_life_expectancy_gdp
Utilize understanding of data visualization to analyze and plot data about GDP and life expectancy
barplot jupyter-notebook lineplot matplotlib-pyplot numpy pandas python scatterplot seaborn
Last synced: 12 Apr 2026
https://github.com/gregoritsch3/project_radioactive_decay
An analytic ( system of coupled ODEs), numeric (Runge-Kutta 4, Newton-Raphson) and stochastic (Monte Carlo) treatment of the chained radioactive decay of Bi[210, 83] into Po[210,84], as well as the emission of alpha-particles. Associated comments and paper are in Croatian.
cplusplus matplotlib montecarlo-simulation numerical-methods numpy python radioactive-decay scipy
Last synced: 12 Apr 2026
https://github.com/jpcano/boston_housing
Predicting Boston Housing Prices using supervised Machine Learning algorithms
cross-validation machine-learning numpy pandas python regression-models scikit-learn
Last synced: 12 Apr 2026
https://github.com/themihirmathur/soiligator
Soiligator is an advanced machine learning project designed to optimize irrigation management by predicting whether irrigation is necessary based on environmental and soil-related data.
auc-score logistic-regression machine-learning matplotlib numpy pandas python random-forest-classifier roc-curve scikit-learn seaborn standardscaler support-vector-machine
Last synced: 12 Apr 2026
https://github.com/emhash/machine-learning-and-ai
Personal tasks or codes of Machine Learning and Artificial Intelligence. Practice codes and projects of Ml/AI will be share here.
ai datasets ipynb jupyter-notebook keras linear-regression logistic-regression machine-learning machine-learning-algorithms numpy opencv pandas python seaborn sklearn tensorflow
Last synced: 05 Jan 2026
https://github.com/filip-kustura/python-covid-19-behaviors-analysis
Using Jupyter Notebook, this university project analyzes attitudes and behaviors related to the COVID-19 pandemic using a two-year survey from Imperial College London and YouGov research company. Utilizing Pandas, NumPy and Matplotlib, the data analysis focuses on three countries, exploring trends and insights throughout the pandemic.
covid-19 data-analysis data-visualization jupyter-notebook matplotlib numpy pandas python university-project
Last synced: 12 Apr 2026
https://github.com/fabricioarendtorres/streamauc
Light-weight package for classification metrics computed on streams or minibatches of data. Mainly for area under the curve (AUC) of precision-recall (PR) or receiver operating characteristic (ROC) curves. Supports multi-class setting with either macro- or micro aggregation..
classification-model machine-learning metrics numpy precision-recall-curve receiver-operating-characteristic
Last synced: 06 Jan 2026
https://github.com/lorenzorottigni/ml-universities
Machine Learning python bootcamp: K mean clustering with public/private universities dataset
k-mean-clustering machine-learning numpy pandas python scikit-learn seaborn
Last synced: 05 Apr 2026
https://github.com/lorenzorottigni/ml-random
Machine Learning course of Piero Savastano 7: matplotlib, accuracy_score, precision_score, recall_score, f1_score, classification_report
machine-learning matplotlib metrics numpy
Last synced: 04 May 2026
https://github.com/alisonmitchell/countries-of-the-world
Exploratory Data Analysis of US Government data from the World Factbook to investigate GDP ($ per capita), Literacy (%) and Phones (per 1000).
data-science machine-learning matplotlib numpy pandas python seaborn
Last synced: 12 Apr 2026
https://github.com/aleksandarbuk/machine-learning
The Machine Learning Library repository provides a collection of scripts and tools leveraging Scikit-Learn, Pandas, and NumPy for various machine learning tasks and data analysis.
matplotlib numpy python scikit-learn tensorflow
Last synced: 16 Apr 2026
https://github.com/akashkg03/facial-expression-image-classification
This notebook involves to build a facial expression image classifier which categorizes facial expressions into one of seven emotions: anger, disgust, fear, happiness, sadness, surprise, and neutral.
jupiter-notebook numpy pandas python
Last synced: 28 Apr 2026
https://github.com/knightkun77/image_classification_project
Image Classification Using Python
keras machine-learning matplotlib numpy opencv python tensorflow tikinter
Last synced: 24 Jan 2026
https://github.com/sonatipek/matris_transactions_py
My "Python Programlama-I" lesson's homework. Some matris transactions with numpy library in Python
matrix numpy numpy-arrays python sonatipek
Last synced: 24 Mar 2025
https://github.com/sothulthorn/stock-prediction-portal
The Stock Prediction Portal is a full-stack web application that demonstrates how to use machine learning models to analyze stock market data and forecast future trends.
axios django django-rest-framework javascript keras matplotlib numpy pandas python react tensorflow yfinance
Last synced: 02 Apr 2026
https://github.com/hariprasath-v/av-job-a-thon-november-2022
Build a machine learning/deep learning approach to forecast the total energy demand on an hourly basis for the next 3 years based on past trends.
exploratory-data-analysis kaggle lightgbm-regressor matplotlib numpy pandas python rmse-score seaborn sklearn statsmodels timeseries-forecasting
Last synced: 12 Apr 2026
https://github.com/aaaastark/life_expectancy_predication
Life_Expectancy_Predication
dataframe machine-learning matplotlib numpy pandas python sklearn tensorflow
Last synced: 12 Apr 2026
https://github.com/prarthana-singh/potato-disease-classification-using-deep-learning
🌱 Potato Disease Classification using Deep Learning – A deep learning-based model to detect and classify potato plant diseases using image processing and CNNs. Built with TensorFlow/Keras & Python.
agriculture cnn deep-learning image-classification keras machine-learning neural-network numpy pandas plant-disease-detection python3 streaming tensorflow
Last synced: 12 Apr 2026
https://github.com/yahiazakaria445/image-classification-using-vgg-16
computer vision model for 10 classes classification
matplotlib numpy opencv pandas sklearn tensorflow
Last synced: 12 Apr 2026
https://github.com/manikantasanjay/data_analysis_using_python_libraries_series
This Series contains Data Analysis projects performed on different Kaggle datasets and providing valuable insights into the data by making use of Python libraries.
exploratory-data-analysis kaggle-datasets machine-learning matplotlib numpy opendatasets pandas python visualization
Last synced: 12 Apr 2026
https://github.com/the-developer-306/fake-review-detector
This project is a machine learning-based review classification system that predicts whether a product review is GENUINE or FAKE. It preprocesses review text, analyzes sentiment, and uses numerical features like ratings and helpfulness to make predictions. The model is deployed via a Flask web application for user interaction.
classification flask logistic-regression machine-learning numpy pandas python renderdeploy scikit-learn sentiment-analysis
Last synced: 12 Apr 2026
https://github.com/skywalkerSam/Python-101
Introduction to Python 3
bootcamp django flask jupyter-notebook matplotlib ml numpy pandas python-bootcamp python-development python-scripting python3 web-scraping
Last synced: 23 Apr 2025
https://github.com/chandkund/sentiment-analysis-using-nlp
This project focuses on Sentiment Analysis using the textual content from product reviews. The goal is to analyze user sentiments based on their written feedback, particularly focusing on the "reviewText" column in the dataset.
lemmatization matplotlib nlp nltk numpy pandas seaborn tokenization
Last synced: 31 Jan 2026
https://github.com/abideen-olawuwo/house-prediction
A house prediction model
matplotlib numpy pandas seaborn sklearn
Last synced: 12 Apr 2026
https://github.com/hariprasath-v/av_job-a-thon-august-2022
Build a Machine Learning model to predict the CTR(click through rate) of an email campaign based on the email campaigning information.
exploratory-data-analysis klib machine-learning matplotlib numpy pandas pycaret-library regression seaborn sklearn
Last synced: 12 Apr 2026
https://github.com/harshit433/brain-tumor-classification
It is a CNN model trained to predict the type of brain tumor from an MRI scan.
artificial-neural-networks cnn-classification image-classification keras-tensorflow numpy pandas python transfer-learning
Last synced: 12 Apr 2026
https://github.com/ieCecchetti/Python_ML_DL_examples
A variety of Machine Learning and Deep Learning scripts in Python. Included some theorical info about that in the Readme
bayes-classifier bayesian-statistics deep-learning kernel machine-learning matplotlib neural-network numpy pandas pca pca-analysis python scikitlearn-machine-learning scipy shi
Last synced: 10 Mar 2025
https://github.com/abideen-olawuwo/logistic-regression-house-prediction
Using logistic Regression Model to predict house price
logistic-regression matplotlib numpy pandas python seaborn sklearn
Last synced: 12 Apr 2026
https://github.com/raghavendra317/brain-tumor-detection
A deep learning-based project for classifying brain MRI images into Glioma, Meningioma, No Tumor, and Pituitary Tumor using Convolutional Neural Networks (CNNs). This project aims to assist in early tumor detection, improving diagnostic accuracy and healthcare outcomes.
cnn-classification keras numpy opencv scikit-learn tensorflow
Last synced: 12 Apr 2026
https://github.com/sandipkushwaha20/brain_tumour_detector
This project utilizes deep learning to detect and classify brain tumors from MRI images. The primary objective is to determine whether a tumor is present and, if so, classify its type with high accuracy.
deeplearning keras numpy pandas python tensorflow
Last synced: 12 Apr 2026
https://github.com/konynour/facedectection
This project demonstrates real-time face detection using OpenCV and a pre-trained SSD (Single Shot MultiBox Detector) model. The system captures video from a camera, processes the frames, detects faces, and displays the results with bounding boxes and confidence scores. This application showcases the use of deep learning models for object detection
cv2 jupyter-notebook lambda-functions matplotlib numpy opencv python3
Last synced: 12 Apr 2026
https://github.com/mairagalvao/steak_risk_data
A data analysis based on correlations and comparisons among the samples.
database matplotlib numpy pandas python3 sql
Last synced: 12 Apr 2026
https://github.com/supriya811106/whatsapp-chat-analyzer-app
Analyze WhatsApp chats with Python, Streamlit, and data visualization. Explore messaging patterns, content trends, and emoji usage to uncover insights from your conversations.
analyzer-web-app chat-analytics chat-analyzer data-preprocessing data-visualization emojis machine-learning matplotlib natural-language-processing nltk numpy pandas plotly python3 seaborn sentiment-analysis streamlit-webapp text-analysis user-engagement
Last synced: 30 Dec 2025
https://github.com/bearddan2000/python-web-3d-matplotlib-wireframe-graph
A demo of creating a 3d wireframe graph.
3d graph matplotlib numpy pandas python web wireframe
Last synced: 12 Apr 2026
https://github.com/AsuquoAA/CDC_2017_Immunization_Data_Analysis
This project analyzes data from the CDC's 2017 National Immunization Survey Public Use File (NISPUF17) to answer research questions about immunization, child health, and vaccine-related behaviors.
Last synced: 21 Jul 2025
https://github.com/2kabhishek/ml-primer
Basic Machine Learning & Data Science in Python/ 📈🐍
jupyter-notebook machine-learning matplotlib numpy pandas python
Last synced: 12 Apr 2026
https://github.com/sudarshanc00/mnist-digit-classification
This project uses a machine learning model to classify handwritten digits (0-9) from the MNIST dataset, a popular collection of grayscale images for image classification benchmarking. It includes a Jupyter Notebook to train a neural network, enabling accurate recognition and classification of digits.
jupyter-notebook matplotlib numpy python tensorflow
Last synced: 12 Apr 2026
https://github.com/abdulsamie10/convolutionneuralnetworkcifar-10
CNN applied on Cifar-10 database.
cifar-10 cifar-10-dataset cifar10 cnn colab-notebook convolutional-neural-network deep-learning jupyter jupyter-notebook machine-learning notebook numpy python python-3 python3 pytorch
Last synced: 12 Apr 2026
https://github.com/rayniel95/erecog
Simple ethnicity classifier using transfer learning with VGG. // unfinished
artificial-intelligence artificial-neural-networks artificialintelligence deep-learning deeplearning-ai ethnicity-classifier fairface-dataset jupyter-notebook keras machine-learning machinelearning machinelearning-python neural-networks notebook-jupyter numpy pandas-python python python3 sckit-learn
Last synced: 12 Apr 2026
https://github.com/marcelovilla/fire-congress-2019-tdf-talk
This repository contains the code used for the project presented in the "Fire activity on the Colombian Tropical Dry Forest: an environmental and social perspective" talk during the 8th International Fire Ecology and Management Congress.
earth-observation ecology fire-activity gdal latex matplotlib modis numpy pandas python remote-sensing requests seaborn tikz trmm xarray
Last synced: 12 Apr 2026
https://github.com/ompreetham/nlp-sentiment-analysis-document-scoring-method
NLP Sentiment Analysis Document Scoring Method
countvectorizer document joblib nlkt nlp numpy pandas project re scoring sentiment-analysis sklearn
Last synced: 12 Apr 2026
https://github.com/ben854719/wasde-revenue-in-2024
The project will use AI to analyze the revenue from the dataset of the World Agricultural Supply and Demands Estimates.
gemini langchain large-language-models matplotlib numpy pandas-python
Last synced: 12 Apr 2026
https://github.com/nidomika/digit-recognition
Digit recognition project in Python
digit-recognition numpy opencv python tensorflow
Last synced: 12 Apr 2026
https://github.com/samkazan/structural_discovery_of_macromolecules_data_analysis
This research project uses machine learning techniques and neural network to uncover key factors that contribute to successful protein structure discovery using Python and R
classification clustering ipython-notebook jupyter-notebook keras-neural-networks keras-tensorflow machine-learning neural-network numpy python r rmarkdown scikit-learn scipy tensorflow
Last synced: 02 Feb 2026
https://github.com/dahsie/machine_learning_from_scratch
This project aims to implement some machine learning basic techniques(e.g. MinMaxScaler, StandardScaler, TD-IDF, PCA, Logistic Regression, LDA, KNN, Naive Bayes Classifier) using only pyton, numpy and pandas. This will enable me to have hone my data scientist skills
classification clustering data data-processing datascience machienlearning nlp nltk numpy pandas python regression
Last synced: 04 May 2026
https://github.com/alainlebret/python-et-ia-2
Personal resources from my course "Python & IA"
artificial-intelligence deep-learning image-processing machine-learning matplotlib neural-network numpy python scikit-image scikit-learn
Last synced: 12 Apr 2026
https://github.com/elifftosunn/data-labeling
Bu araç veri kazıma aşamasından sonra verilerin istenilen kategoriye göre etiketlenmesi ve kullanılmayacak olan verilerin database'ten silinmesi ile makine öğrenmesi modellerini kullanmak için etiketleme adımınını otomatikleştirmek amaçlı yapılmıştır.
base64 kaleido numpy os pandas plotly postgresql psycopg2 psycopg2-binary time
Last synced: 12 Apr 2026
https://github.com/chandkund/iris-classification
Iris Classification project using machine learning to classify iris flowers into Setosa, Versicolour, and Virginica species. Includes data exploration, model training with SVM, Logistic Regression, and Decision Tree, and performance evaluation. Contributions welcome! Python, Pandas, Scikit-learn, Seaborn, Matplotlib.
machine-learning matplotlib-pyplot numpy pandas python sklearn
Last synced: 21 Jan 2026
https://github.com/nambukeerthi/youtube_dataproject
Build a Streamlit App – A user-friendly interface. Use Google API – Fetch YouTube channel data. Store in SQL Database – Save channel details for easy access. Search & Join Tables – Allow users to query and view data
api numpy pandas python sql streamlit
Last synced: 09 Apr 2026
https://github.com/dylan-stewart/marvel-mysql-project
Project for Data Science
data-science iris-dataset marvel mysql network-x numpy pandas python
Last synced: 13 Apr 2026
https://github.com/daksh777/expressando
Expressando is a rock, paper, scissors game made using Python (TensorFlow, Keras and OpenCV)
keras keras-tensorflow machine-learning numpy opencv opencv-python tensorflow
Last synced: 13 Apr 2026
https://github.com/pedasoft-consult/house-price-prediction
This project is a machine learning-powered web application for predicting house prices based on various features such as area, bedrooms, bathrooms, and more. It uses Flask for the backend and HTML/CSS/JavaScript for the frontend.
flask joblib matplotlib numpy pandas r2 random-forest regression seaborn sklearn
Last synced: 13 Apr 2026
https://github.com/bachboy0/montecarlo
Python-based Monte Carlo simulations for statistical analysis and modeling.
monte-carlo-methods numpy python
Last synced: 21 Apr 2026
https://github.com/ayhem18/tinyad
A simple Python library to better understand automatic Differentiation
automatic-differentiation mathematical-programming numpy python3
Last synced: 29 Apr 2026
https://github.com/jim-by/tweet-sentiment-analysis
Sentiment analysis of tweets using TextBlob for labeling and RandomForest for classification.
nltk nltk-tokenizer numpy pandas python random-forest-classifier sklearn textblob-sentiment-analysis
Last synced: 13 Apr 2026
https://github.com/karanyeole/movie-rating-analysis
analyzing movie ratings from various sources to gain insights into audience preferences, trends, and patterns in movie ratings. The project utilizes data analysis and visualization techniques to explore and interpret movie rating data, providing valuable information for movie enthusiasts, filmmakers, and industry professionals.
matplotlib numpy pandas python seaborn
Last synced: 13 Apr 2026
https://github.com/rkarahul/ok.win-big-small-predictor
Predict the next “Big” or “Small” outcome on the OK.Win lottery-style game using OCR + time-series features + ML.
joblib numpy opencv-python paddleocr paddlepaddle paddlepaddle-gpu pandas python sckit-learn
Last synced: 13 Apr 2026