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/mnitin-reddy/collaborative-filtering-based-recommendation-system
This project is a Book Recommendation System that uses two main approaches: Popularity-Based and Collaborative Filtering. It recommends top books based on their rating frequency and average ratings, and also provides personalized book suggestions by analyzing user interactions.
collaborative-filtering numpy pandas popularity-based-recommendation python recommendation-system scikit-learn
Last synced: 11 Apr 2026
https://github.com/soumyapro/wine-quality-prediction
This project is about the prediction of wine quality using machine learning algorithms
boxplot matplotlib numpy pandas random-forest smote
Last synced: 10 Apr 2026
https://github.com/m-rishab/job-recruitment-prediction-and-hr-dashboard-using-plotly
This project features make it ideal for dynamic HR dashboards, offering insights into candidate profiles and recruitment processes.
correlation-analysis flask kmeans-clustering numpy pandas plotly python scikit-learn seaborn standardscaler
Last synced: 12 Apr 2026
https://github.com/paulbrenker/decision-tsp
Scripts from a university data analysis project to approximate the decision tsp problem using heuristics and machine learning
data-science machine-learning numpy poetry python
Last synced: 26 May 2026
https://github.com/soumyapro/heart-disease-prediction
This project is aimed at predicting the likelihood of coronary heart disease (CHD) in individuals over the next ten years using Logistic Regression.
logistic-regression numpy pandas simpleimputer sklearn
Last synced: 21 Jan 2026
https://github.com/omarsaad21/rfm-clustering-
A full Data science and deployment project focusing on Data analysis and ML ( create a customer segmentation model to recommend the best merchants for each user as targetted offers)
business-solutions data-science eda numpy pandas plotly python sickit-learn streamlit
Last synced: 11 Apr 2026
https://github.com/sc0v0ne/ai-discipline-work
AI Discipline Work - Movie recommendation
jupyter-notebook machine-learning numpy pandas python python3
Last synced: 15 Apr 2025
https://github.com/mohamed15058/text_classification-digital-egypt-pioneers-initiative-project-
Text_Classification(Digital-Egypt-Pioneers-Initiative-Project )
depi mlops nlp nltk numpy panadas python3 twnsorflow
Last synced: 10 Apr 2026
https://github.com/nakshjainsonigara/football-eda
This EDA offers a comprehensive exploration of football analytics, leveraging Python libraries to analyze players, club games, and various other aspects of the sport. Through statistical analysis and visualization, we uncover insights into player performance, club strategies, and league dynamics providing valuable insights for football enthusiasts.
dash exploratory-data-analysis matplotlib numpy pandas plotly python scipy seaborn statistics
Last synced: 07 Jan 2026
https://github.com/hilalozdemirbuyukasik/deep-learning
A collection of deep learning projects demonstrating RNNs, BiLSTMs, CNNs, and basic neural networks applied to time series forecasting, text sentiment analysis, image classification, and tabular data tasks, with examples of data preprocessing, model training, evaluation, and visualization.
bilstm cnn keras matplotlib nn numpy rnn scikit-learn tensorflow
Last synced: 12 Apr 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/crvargasm/moore-penrose-matrix
A small implementation of an algorithm that is capable of computing the Moore-Penrose inverse of any matrix.
numerical-methods numpy python
Last synced: 10 Apr 2026
https://github.com/hussain-7/emotion_detection-master
Human Emotion Analysis using facial expressions in real-time from webcam feed. Based on the dataset from Kaggle's Facial Emotion Recognition Challenge.
keras-tensorflow matplotlib numpy opencv-python tensorflow
Last synced: 08 May 2026
https://github.com/shakebshamsi/youtube-scraping-using-api
Youtube Scraping
jupyter-notebook numpy pandas python seaborn
Last synced: 10 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/gregoritsch3/exercise_pandas_1
A Pandas exercise demonstrating the loading, cleaning and reorganization of data in .xlsx or .csv files, descriptive statistics, data visualization, statistical approximation of data with the normal distribution, etc.). Libraries include Pandas, NumPy, Scipy, SymPy, MatplotLib,
data-cleaning data-visualization descriptive-statistics matplotlib numpy pandas scipy sympy
Last synced: 12 Apr 2026
https://github.com/pythonhealthdatascience/stars-reproduce-lim-2020
Assessing the computational reproducibility of Lim et al. 2020 as part of STARS.
covid-19 covid19 discrete-event-simulation numpy open-science pandas python quarto reproducibility reproducible-research simulation
Last synced: 13 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/lesiaukr/mathematic_for_cs_colab_hw
Master's degree | HW | Mathematics for Computer Science course | Homeworks
goit google-colab home-works latex linear-algebra mathematics-for-computerscience matrices numpy python vectors
Last synced: 13 Apr 2026
https://github.com/solaris0051/simplenn
simple neural network. The comments accompanied with codes are written in English.
anaconda3 colab-notebook conda conda-env conda-packages jupyterlab latex machine-learning markdown matplotlib neural-network numpy object-oriented online-learning python3
Last synced: 12 Apr 2026
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/tsungtsetu122/datamining-cifar10-classification
Data mining project on CIFAR-10 extracted features, applying preprocessing, classification models, and evaluation techniques to improve classification performance.
matplotlib numpy pandas python scikit-learn
Last synced: 10 Apr 2026
https://github.com/navindafernando/feature-extraction
Heart Risk Level Predicting Regression Model & Web using Feature Engineering and Data Preprocessing :baby_chick:
categorical-encoding feature-engineering flask handling-outlier html5 joblib label-encoding machine-learning numpy pandas polynomial-features quantile-transformer scaling
Last synced: 10 Apr 2026
https://github.com/asghar-rizvi/youtube-statistics-project
This project analyzes a dataset of global YouTube statistics to uncover insights about YouTube channels, their ranks, and other attributes. The dataset used for this analysis was obtained from Kaggle.
data-analysis data-analysis-python data-science data-science-projects matplotlib numpy pandas pycharm-ide python seaborn
Last synced: 13 Jun 2026
https://github.com/linggarm/priority-task-selection-using-evolutionary-programming
A web app that utilizes Evolutionary Programming to determine and prioritize tasks for efficient scheduling.
artificial-intelligence css evolutionary-algorithms evolutionary-programming flask html javascript machine-learning numpy python
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/nilayhangarge/data-analysis-with-python
This repository provides a practical introduction to data acquisition and analysis using Pandas. It covers loading datasets, exploring data, manipulating data, and gaining insights through statistical summaries. Ideal for beginners, it offers code examples and explanations to enhance your data manipulation skills using Pandas for Python.
data-acquisition data-analysis data-analytics data-binning data-cleaning data-engineering data-fundamentals data-insights data-integration data-preprocessing data-science data-wrangling numpy pandas python
Last synced: 12 Apr 2026
https://github.com/fedesgh/parkinson_volatility_spread_on_cedears
Creating a function that returns a graph with the difference between Parkinson's volatility and regular volatility given a certain bounds
Last synced: 10 Apr 2026
https://github.com/kostadinlambov/time-series-forecasting
This project evaluates the predictive performance of a CNN-LSTM Hybrid deep learning model for Bitcoin price movement prediction.
keras-tensorflow matplotlib-pyplot mlflow numpy optuna pandas python scikit-learn seaborn statsmodels ta-lib tensorflow
Last synced: 07 Apr 2026
https://github.com/alejoduarte23/reading_data_from_dewesoft
The following repository retrieves sensor data (acceleration and strains) from both local and cloud databases. It processes the data using classes from another repository called Modal Engine for spectral analysis, modal analysis, and signal processing.
dewesoft matplotlib modal-analysis numpy orm scipy signal-processing sql sqlalchemy
Last synced: 07 Jan 2026
https://github.com/ledsouza/medphys-bi
Aplicativo desenvolvido para gestão e análise de dados do Serviço de Física Médica em Medicina Nuclear do HCPA
aws boto3 cloud-computing cloud-run docker dotenv gcp mongodb numpy os pandas plotly pymongo python s3 streamlit terraform vitrinedev yaml
Last synced: 10 Apr 2026
https://github.com/ahmedabdalkreem/speech-recognition
In this project we deal with audio dataset to make classification between ten audio and make preprocssing in it using Librosa and Scipy then be input of Neural Network Model.
librosa matplotlib neural-network numpy pandas python3 scipy sklearn tensorflow
Last synced: 11 Apr 2026
https://github.com/ahmedabdalkreem/hotel-reservation
Our task is to classify a Hotel Reservation as either booking canceled (class1) or no canceled(class0) and use more one model to arrive the best model.
bagging decisiontreeclassifier ensemble extra-trees-classifier logistic-regression matplotlib numpy pandas python3 random-forest sklearn-library svc-model
Last synced: 11 Apr 2026
https://github.com/azaz9026/data_cleaning
Welcome to the Data Cleaning repository! This collection is dedicated to showcasing techniques and methods for cleaning and preparing datasets for analysis.
data-analysis data-engineering data-structures data-visualization eda feature-engineering machine-learning numpy outliers pandas python seaborn
Last synced: 13 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/ahmedabdalkreem/healty-care
The Complete project using neural network to arrive the best healt know he is stoke or not.
matplotlib neural-network numpy pandas python3 sklearn-library
Last synced: 13 Apr 2026
https://github.com/ahmedabdalkreem/connected_component_labeling
Technique used to detect small object in the image like shapes and number can used this technique in OCR.
computer-vision connected-components matplotlib numpy object-detection python rgb2gray threshold
Last synced: 11 Apr 2026
https://github.com/d1ogocs/afinador-de-instrumentos
Desenvolvimento de um afinador que se ajusta automaticamente ao instrumento musical escolhido pelo utilizador
butterworth-filter instrument-tuner matplotlib numpy pyaudio python scipy threading tkinter
Last synced: 07 Jan 2026
https://github.com/ediloaz/linear-regression-with-lists-numpy-and-pytorch
This was done like the homework #01 of Machine Learning Course, of Computer Science Master.
arrays-raw jupyter-notebook machine-learning numpy python pytorch
Last synced: 13 Apr 2026
https://github.com/rama1997/lane-line-detection
Uses computer vision to detects lane lines on the road from images/videos using the POV of a driving vehicle
numpy opencv opencv-python python
Last synced: 10 Apr 2026
https://github.com/elon-fask/nlp_num1
Natural Language Processing with Disaster Tweets
ai machine-learning nlp nlp-machine-learning numpy pandas python text-processing
Last synced: 10 Apr 2026
https://github.com/badranalyst/titanic-survival-prediction-full-data-science-project-classification
This project predicts Titanic survivors using classification models. It includes data cleaning, pre-processing, exploratory data analysis (EDA), categorical feature conversion, model building, and evaluation. Python libraries like Pandas, NumPy, Matplotlib, and Seaborn are used to analyze and predict survival outcomes.
classification data-analysis data-science eda exploratory-data-analysis machine-learning matplo matplotlib-pyplot ml model numpy pandas predictive-modeling python seaborn
Last synced: 06 May 2026
https://github.com/niteshchawla/logistics-nn-regression
The case study is about India's Largest Marketplace for Intra-City Logistics. This dataset has the required data to train a regression model that will do the delivery time estimation, based on all those features.
adam-optimizer data-visualization encoding exploratory-data-analysis feature-engineering hidden-layers hyperparameter-tuning keras-tensorflow kerastuner metrics neural-network numpy pandas regression relu scaling sequential-models
Last synced: 10 Apr 2026
https://github.com/jbayardo/dip-tps
coursework image-processing introduction jupyter-notebook matplotlib notebook numpy python scikit-image scipy
Last synced: 13 Apr 2026
https://github.com/analyticalmonk/neuralnetwork_fromscratch
neural-network neural-network-example numpy python python-3
Last synced: 12 Apr 2026
https://github.com/jaweria-b/eda-basketball
The Streamlit app analyzes NBA player stats with user-selected filters, offering data download and intercorrelation heatmap.
matplotlib numpy python streamlit
Last synced: 10 Apr 2026
https://github.com/babagata/racunalna_fizika
Math and physics solved with python
matplotlib numpy random scipy sympy
Last synced: 10 Apr 2026
https://github.com/semihbugrasezer/rockvsmine
Rock vs Mine Prediction with Python | Machine Learning Project
Last synced: 05 May 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/anuuragg/numpyneuralnet
machine-learning matplotlib neural-network numpy pandas
Last synced: 18 Jan 2026
https://github.com/anubhavkumar31/simple-heart_disease_prediction-using-logisticregression
Its a simple yet good model which predicts if a person have heart disease or not. This is a binary classification model i.e its output is either 0(dont have heart disease) or 1 (have heart disease).
logistic-regression machine-learning numpy python sklearn sklearn-linear-model sklearn-metrics
Last synced: 10 Apr 2026
https://github.com/wisdom-osborn/data-analytics-course-online-
🔍 Data Analytics with Python — Hands-on Course Materials Jupyter notebooks, projects, and datasets based on the freeCodeCamp Data Analysis with Python certification. Learn NumPy, Pandas, data cleaning, and visualization through real-world examples
data data-analysis data-science data-visualization freecodecamp numpy pandas pandas-dataframe project python
Last synced: 19 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/aqueeqazam/numpy-for-mathematical-computing
You're at the perfect spot if you're interested in developing your career in data science or machine learning, or if you just enjoy having fun with mathematical operations.
mathematics numpy numpy-arrays
Last synced: 19 Apr 2026
https://github.com/chenshuliu/python-guide-to-numpy
This repository is dedicated to explaining the functionalities of Numpy in Python
Last synced: 18 Jan 2026
https://github.com/abhinavraj009/x_ray-conversion-csv-
To convert an X-ray image into a CSV format for machine learning or data analysis, you'll typically want to represent the image as numerical pixel values.
machine-learning numpy opencv pandas python
Last synced: 13 Apr 2026
https://github.com/khaymanii/spam_mail_detection_model
This model was built using Python and Logistics Regression algorithm
matplotlib numpy pandas python sckiit-learn
Last synced: 10 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/supriya811106/twitter-sentiment-analysis
Analyzing the mood of tweets! We sort tweets on popular topics into positive, negative, or neutral categories to gauge public opinion. See what Twitter really thinks!
bernoulli-naive-bayes jupyter-notebook matplotlib nlp-machine-learning nltk numpy pandas python scikit-learn seaborn sentiment-analysis text-classification tfidf-vectorizer wordcloud
Last synced: 05 Apr 2026
https://github.com/miguelszzz/simple_mnist
Minimalist MNIST implementation with two hidden layers written in C
ddpm densenet-tensorflow generative-model image-processing keras machine-learning neural-network numpy scratch tensorflow-mnist-train transformer triplet-loss vit vit-mnist
Last synced: 25 Mar 2025
https://github.com/mogankumar/virtual-mouse
A Python-based Virtual Mouse that uses hand gestures for cursor control, clicking, scrolling, and taking screenshots. Powered by OpenCV, PyAutoGUI, and a custom hand tracking module for a touch-free experience.
autopy numpy opencv pyautogui python3
Last synced: 10 Apr 2026
https://github.com/sahil210695/gradient-descent
A simplified explanation of gradient descent for linear regression in python using numpy
gradient-descent gradient-descent-algorithm linear-regression matplotlib mini-batch-gradient-descent numpy python stochastic-gradient-descent
Last synced: 03 May 2026
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/aneeshmurali-n/project-ml-data-preprocessing
The main objective of this project is to design and implement a robust data preprocessing system that addresses common challenges such as missing values, outliers, inconsistent formatting, and noise. By performing effective data preprocessing, the project aims to enhance the quality, reliability, and usefulness of the data for machine learning.
data-analysis data-cleaning data-encoding data-exploration feature-scaling label-encoding matplotlib minmaxscaler numpy one-hot-encoding outlier-detection pandas standardscaler
Last synced: 02 May 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/AsuquoAA/Applied_Data_Science_with_Python_Study
matplotlib numpy pandas seaborn
Last synced: 21 Jul 2025
https://github.com/amandeep-gupta19/chatbot
Created a custom chatbot using Langchain. Here's a summary of what I did: Data Extraction: I gathered data about technical courses from the Brainlox website using Langchain’s URL loaders. Embedding Creation & Storage: I converted this data into embeddings and stored it in a vector store for efficient searching. API Development: I built a Flask
data-extraction faiss-vector-database flask-restful langchain numpy scikit-learn vector-database webbaseloader
Last synced: 09 Apr 2026
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/szymon-budziak/fundamentals_of_deep_learning
Fundamentals of Deep Learning NVIDIA course.
deep-learning machine-learning numpy nvidia pandas python tensorflow
Last synced: 10 Apr 2026
https://github.com/rubada/machine-learning-with-ruba-dabbas
Advance your skills and start your career here, by taking the online courses on Intuidemy.
course learning machine machine-learning matplotlib matplotlib-pyplot models numpy pandas python scikit-learn
Last synced: 12 Apr 2026
https://github.com/dev-mdirfan/recommendation-system-various-approaches
Recommendation System
css flask html javascript machine-learning numpy pandas
Last synced: 10 Apr 2026
https://github.com/ryan-bendelson/2024-summer-research
This is Python code that I worked with during my summer 2024 research project involving quantum physics.
density-matrices kronecker-product linear-algebra miniconda3 numpy numpy-arrays partial-trace python quantum-information
Last synced: 16 Apr 2026
https://github.com/waghraj1699/codeclauseinternship_crop_disease_identification
Crop Disease detection app,it predicts wheather the given image of crop has disease or not.
cnn deep-learning machine-learning numpy pandas transfer-learning
Last synced: 13 Apr 2026
https://github.com/shreyazh/respire
To deal with Respiratory Challenges
machine-learning matplotlib numpy pandas pillow python scikit-learn seaborn
Last synced: 12 Apr 2026
https://github.com/munawar-code/car_price_predictor
This project is a ML-based car price prediction system. The model is built using Jupyter Notebook for training and evaluation, while a simple one-page website was developed using Pycharm to provide interface for users to input car details and get price predictions.
datapreprocessing datavisualization exploratory-data-analysis feature-engineering flask-application html-css-javascript linear-regression machine-learning-algorithms matplotlib numpy pandas python scikitlearn-machine-learning
Last synced: 13 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/jkosla/neural_network_from_scratch_numpy
Neural Network From Scratch in Python | Build a simple neural network from scratch using pure Python and NumPy. Learn about forward propagation, backpropagation, and training with gradient descent. Accompanies my Medium article.
ai aritificial-intelligence medium nerual-networks numpy python3 tutorial
Last synced: 10 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/maliksaqib786/codealpha_projectname
IRIS CLASSIFICATION | Internship Project at Code Alpha
data-science logistic-regression machine-learning matplotlib numpy pandas python scikit-learn seaborn
Last synced: 10 Apr 2026
https://github.com/trissim/polystore
Framework-agnostic multi-backend storage abstraction for ML and scientific computing
backend data io jax ml multi-framework numpy pytorch scientific-computing storage tensorflow zarr
Last synced: 12 Apr 2026
https://github.com/pedasoft-consult/multi_class_text_classification
Multi-Class Text Classification for News Headlines
keras matplotlib-pyplot nltk numpy pandas seaborn sklearn tensorflow
Last synced: 09 Apr 2026
https://github.com/anshpg/linearluminary
Greetings! I've developed a straightforward linear regression model from scratch to predict house prices in Bangalore. But before delving into coding, let me walk you through the algorithm's conceptualization. I considered various factors such as location, ocean proximity, plot size, finished state, and flat type.
algo linea mathematics matplotlib numpy pandas pyth
Last synced: 13 May 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/ahmedabdalkreem/skin-cancer
In this project we work to extraction features from Images using CNN and build the Neural Network to arrive the patient have skin-cancer Malignant or Benign.
cnn deep-learning matplotlib neural-network numpy pandas python3 sklearn-library
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/aniruddhakhedkar/eda_for_chinese_automotive_company_teclov_chinese
Exploratory_Data_Analysis_Python_Project_1
datavisualization duplicate-detection imputation-methods numpy outlier-removal pandas seaborn statistical-analysis
Last synced: 10 Apr 2026
https://github.com/farhad-here/median-performance-comparison
Benchmarking the performance of median calculation using vanilla Python vs NumPy.
data-analysis matplotlib numpy python
Last synced: 18 Apr 2026
https://github.com/subhadipsinha722133/credit-card-fraud-dection
Web application for detecting fraudulent credit card transactions using machine learning
data-visualization fraud-detection machine-learning matplotlib numpy pandas seborn sklearn streamlit
Last synced: 10 Apr 2026
https://github.com/snigdho8869/clustering-projects
Repository for various clustering projects including mall customer segmentation and more. Explore data analysis and clustering techniques
cluster-analysis clustering clustering-algorithm customer-segmentation deep-learning gaussian-mixture-models hierarchical-clustering hierarchical-models kmeans-algorithm kmeans-clustering machine-learning mall-customer-segmentation mall-customers numpy pandas scikit-learn segmentation spectral-clustering tensorflow
Last synced: 10 Apr 2026
https://github.com/jol79/python_exercises
Solving interesting python exercises on different topics
matplotlib-pyplot numpy pandas python3 pythonexercises scikit-learn seaborn
Last synced: 10 Apr 2026
https://github.com/patilsukanya/assignment-3-hypothesis-testing
Used libraries and functions as follows:
alternate-hypothesis annova chi2-contingency contingency-analysis ftest hypothesis-testing norm null-hypothesis numpy numpy-arrays pandas pvalue python scipy significance-testing stats
Last synced: 10 Apr 2026