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/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/kersh1337228/tradenv
Trading strategies testing environment based on open stock market data
django django-rest-framework numpy pandas python react stock-market typescript
Last synced: 11 Apr 2026
https://github.com/junaidsumsaal/advanceparkingsystem
Its a web application that integrates AI-powered parking spot predictions, real-time notifications, and role-based dashboards for Drivers, Attendants, and Providers. This system is designed to streamline parking operations, enhance user experience, and leverage machine learning for future availability predictions.
axios-react chakra-ui-react data-science met metrics ml numpy pand python3 react sklearn tailwindcss typescript
Last synced: 11 Apr 2026
https://github.com/yelypk/nasa-farm-navigators
NASA Space Apps Challenge Hackathon
fastapi javascript numpy phaser postgresql python railway
Last synced: 11 Apr 2026
https://github.com/ericchw/youth_discord_nlp_chatbot
A python AI chatbot with emotion detection model. Frontend using PHP, API using Flask and database using PostgreSQL. Collaborate with CyberYouth from SJS. @HKMU 2022-2023 FYP
ai bootstrap chatbot chinese-nlp docker emontion-detection flask jquery machine-learning nlp nlp-machine-learning nltk numpy pgsql php postgresql pycord torch transformers
Last synced: 21 Jan 2026
https://github.com/jagroop2001/learning-numpy
Learning NumPy complete the exercise
Last synced: 16 May 2025
https://github.com/ahmedabdalkreem/animals_classification
This project is dependent to make classification between faces of cats, dogs and wild_animals and use multiple model such as CNN and pretrained model like ResNet and MobileNet and show the result of all model in the image using heatmap to know what is the part that model take decision when see it.
classification cnn heatmap matplotlib mobilenet numpy opencv pandas pretrained-models python restnet
Last synced: 12 Apr 2026
https://github.com/lorenzorottigni/dl-lending-club
Deep Learning python bootcamp: deep learning on Lending Club dataset
deep-learning ipynb keras machine-learning numpy pandas python scikit-learn seaborn tensorflow
Last synced: 11 Apr 2026
https://github.com/aaaastark/textclassification-nlp-project
Dataset preparation, Feature Engineering, Model Building, Summary Statistics, Data Exploration by Visualizations, and Save File CSV
matplotlib nltk numpy pandas python seaborn sklearn textblob wordcloud
Last synced: 11 Apr 2026
https://github.com/anuppm9917/super-store-sales-analysis-power-bi-project
My drive to know which products, regions, categories and customer segments a company should target or avoid, I search and selected an appropriate dataset on kaggle which will match a standard superstore requirement.
data data-analysis data-visualization datacleansing excel exploratory-data-analysis jupyter-notebook numpy pandas plotly powerbi python3
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/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/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/abdullah2020/hamoye_stageb
This is my Hamoye Stage B project. The project focuses on Predicting Energy Efficiency of Buildings. It implemented different Machine Learning algorithm technique that are not limited to Linear Regression, LASSO, Ridge etc.
eda lasso-regression linear-regression numpy pandas predictive-modeling regression-models ridge-regression rmse rsquare-values
Last synced: 09 May 2026
https://github.com/nirmaldeepponnada/codeclauseinternshipproject1
This project involves Customer Segmentation using K-Means clustering to group customers based on Recency, Frequency, and Monetary (RFM) analysis from the Online Retail dataset. It also performs Sentiment Analysis on Amazon Product Reviews using Natural Language Processing techniques & Logistic Regression to classify reviews as positive or negative.
kmeans logistic-regression numpy pandas python3 regular-expressions scikit-learn tf-idf-vectorizer
Last synced: 11 Apr 2026
https://github.com/saifalibaig/-online-retail-exploratory-data-analysis-with-python
Exploratory Data Analysis of an online retail store
data-analysis data-visualization matplotlib numpy pandas python3
Last synced: 11 Apr 2026
https://github.com/lorenzorottigni/ml-missing-values
Machine Learning course of Piero Savastano 5: ColumnTransformer, SimpleImputer, numpy
column-transformer machine-learning missing-values numpy simple-imputer
Last synced: 05 May 2026
https://github.com/zhanziyuan/pixelpuzzle-web
Encode/decode images using Base64 or shuffle/recover the pixels of images.
anime encryption image image-processing numpy python
Last synced: 11 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/jokoum/sentiment-classification
Multi-layer Perceptron classification of product reviews written in Greek language
flask machine-learning multilayer-perceptron-network neural-network numpy python sentiment-classification
Last synced: 05 May 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/aminkhavari78/text-generation-with-lstm-recurrent-neural-networks-in-python-with-keras
use LSTM model for text generation
dropout io lstm-neural-networks numpy pandas sequence-models sys text-processing
Last synced: 20 Apr 2026
https://github.com/AsuquoAA/Applied_Data_Science_with_Python_Study
matplotlib numpy pandas seaborn
Last synced: 21 Jul 2025
https://github.com/svastikkka/data-science-machine-learning
Data Science and Machine Learning
classsification linear-regression machine-learning matplotlib mysql numpy pandas python
Last synced: 26 Jul 2025
https://github.com/tomaslopera/modelos_simulacion
jupyter-notebook matplotlib-pyplot modeling-and-simulation numpy pandas scipy seaborn
Last synced: 05 May 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/trim0500/fe-stats-classifier
An experiment to create a machine learning model via PyTorch to classify select Fire Emblem unit base stat distributions.
creational-patterns data-analysis data-science data-visualization design-patterns excel jupyter jupyter-notebook matplotlib-pyplot numpy pandas python python-modules python3 pytorch singleton
Last synced: 11 Apr 2026
https://github.com/carolina-riddick/xg-by-match-segments-football-analysis
futbol matplotlib numpy python segments soccer-analytics xg
Last synced: 15 May 2026
https://github.com/prashhhant213/cardioflex-treadmill-analysis-using-descriptive-statistics-probability
Description Analysis and Visualization on CardioFlex Treadmill data to provide insights and recommendations to improve their userbase.
colab-notebook numpy pandas probability python stats
Last synced: 11 Apr 2026
https://github.com/sanjurajveer/market_basket_analysis
Finding pattern of bought objects through market basket analysis
apriori-algorithm association-rules numpy pandas python seaborn
Last synced: 09 May 2026
https://github.com/liannekiarra/university-dissertation
Combining Machine Learning Techniques with Multi-Objective evolutionary Algorithms to Solve Real World Engineering Problems
artificial-intelligence engineering hypervolume matplot multi-objective-optimization neuralnetwork nsga-ii numpy pareto-front pareto-optimality pymoo python3 sklearn
Last synced: 09 May 2026
https://github.com/ishtufinquant/portfolio-optimizer
Optimizes stock portfolios using simulation and real-world constraints (SLSQP).
backtesting finance numpy pandas portfolio-optimization python quant scipy yfinance
Last synced: 12 Apr 2026
https://github.com/shwetajanwekar/hr-data-analytics
Analyze the HR data through exploratory data analysis, we identified key factors influencing employee attrition, satisfaction levels, and performance. Machine learning models enabled us to predict employee churn and classify potential candidates for promotion.
matplotlib numpy pandas seaborn
Last synced: 19 Apr 2026
https://github.com/sahu-sakshi/covid-19
A comprehensive data analysis project for COVID-19 pandemic data, featuring automated data collection, feature engineering, visualization tools, and exploratory analysis notebooks.
Last synced: 05 May 2026
https://github.com/anker661/autograd-playground
A simple Numpy & Python based auto differentiation system that supports visualization before and after back-propagation.
auto-differentiation autograd computaion-graph jupyter-notebook numpy python3
Last synced: 09 May 2026
https://github.com/abdulsamie10/animalclassification-cnn
Different pics of dogs, cats and pandas were used and applied CNN on them to find out their type.
animal-classification cnn colab-notebook computer-vision convolutional-neural-network convolutional-neural-networks deep-learning jupyter-notebook keras machine-learning numpy python python3 pytorch
Last synced: 11 Apr 2026
https://github.com/renukadhule/crop_production_python_analysis
This project analyzes crop production data in India from 1997 to 2015, identifying trends, seasonality, and top-performing states and crops. The insights aim to guide improvements in agricultural productivity and policy decisions.
matplotlib numpy pandas python
Last synced: 12 Apr 2026
https://github.com/vyjayanthipolapragada/fraud_detection_creditcard
Detecting the fraudulent credit card transactions by training Decision Tree model using Scikit-learn and SnapML
classification-model data-preprocessing decision-tree-classifier kaggle-dataset machine-learning numpy pandas python scikit-learn snapml time tree-model
Last synced: 11 Apr 2026
https://github.com/dan-niles/neural-networks-from-scratch
A neural network implemented using only NumPy and Pandas for CS3631: Deep Neural Networks
Last synced: 05 May 2026
https://github.com/ebadshabbir/logistic_regression-binomial-
Logistic Regression on Social Network Ads Dataset This project applies Logistic Regression to predict whether a user will purchase a product based on their age and estimated salary, using the Social Network Ads dataset. The data is split into training and test sets, with feature scaling applied for normalization.
classification jupyter-notebook logistic-regression machine-learning matplotlib-pyplot numpy pandas python sklearn
Last synced: 11 Apr 2026
https://github.com/nilusche/feed_forward_network_py
Implementation of a neural network in python which can predict handwritten numbers from the MNIST dataset.
colab-notebook feed-forward-neural-networks neural-network numpy python
Last synced: 01 May 2026
https://github.com/smit-joshi814/mlp
Machine Learning Using Python
classification decision-trees k-means-clustering knn machine-learning machine-learning-models matplotlib numpy pandas regression seaborn svm
Last synced: 05 May 2026
https://github.com/ashishsingh789/titanic_dataset_eda_and_visualization
This repository contains an exploratory data analysis (EDA) of the Titanic dataset. Key analyses include survival rates by gender, passenger class, age distribution, family size, and correlation heatmaps.
data data-science dataanalysis matplotlib numpy pandas pandas-dataframe python seborn visualisation
Last synced: 11 Apr 2026
https://github.com/tjpavii0809/classification-regression-models
Simple Predictive Model of Machine Learning
data-science numpy pandas scikit-learn supervised-learning
Last synced: 20 Jan 2026
https://github.com/manoj-kumar-c/data_analyst_projects
Live Data Analyst Projects.
Last synced: 07 Feb 2026
https://github.com/amiriiw/text_classification
Welcome to the Text Classification Project! This project is designed to train a model for classifying texts based on their emotional content and then using it to categorize new texts into corresponding emotional categories.
keras numpy pandas pickle scikit-learn tensorflow text-classification
Last synced: 20 Jan 2026
https://github.com/navindafernando/character-recognition
Sinhala Character Recognition using KNN :coffee:
joblib knn-algorithm machine-learning matplotlib numpy opencv pillow tikiner-gui
Last synced: 09 May 2026
https://github.com/neelimabonangi/defect-detection-hot-rolling
Defect Detection in Hot Rolling Using Machine Learning
classification data-analysis data-science defect-detection jupyter-notebook machine-learning manufacturing numpy pandas predictive-analytics python random-forest scikit-learn
Last synced: 12 Jun 2026
https://github.com/yosrak5/predictive_maintenance
End-To-End Predictive Analytics to predict Hardware Maintenance Before it occurs using data preprocessing and Machine Learning classification modeling (XGBOOST , Random Forest )
data-factory data-perspective machine-learning-workbench matplotlib numpy pandas python random-forest seaborn xgboost
Last synced: 25 Feb 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/pranavsuriya-sr/e-hub_energysystems
Python based Web Application for analysis and visualization of concepts in Energy Systems.
css energy-systems-analysis html javascript matplotlib numpy python schemdraw streamlit
Last synced: 11 Apr 2026
https://github.com/amnydv17/landmark-detection
This project aims to leverage the power of deep learning models to automatically detect and pinpoint landmarks such as famous monuments, buildings, natural landmarks, and other recognizable structures within images.
machine-learning matplotlib numpy pandas python3 scikit-learn seaborn tensorflow
Last synced: 11 Apr 2026
https://github.com/anshpg/vectorwave
The Jupyter Notebook (ipynb file) contained within this repository serves as the primary codebase for this project. It demonstrates how to preprocess the input data, train the logistic regression classifier, evaluate its performance, and save the trained model for future use.
collab jupyter-notebook matplotlib-pyplot numpy pandas python sklearn
Last synced: 11 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/13anush/python-libraries-
A collection of essential Python libraries—NumPy, Pandas, Matplotlib, and Seaborn—perfect for anyone starting out in data analysis.
data-analysis matplotlib numpy pandas python seaborn
Last synced: 05 May 2026
https://github.com/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/preethiphilip/prosper-loan-data-analysis
This project explores the Prosper loan dataset to uncover trends, borrower behaviors, and factors influencing loan performance. Using Python and data visualization techniques, the analysis examines key variables such as credit scores, loan status, income ranges, and debt-to-income ratios to gain insights into credit risk and lending patterns.
jupyter-notebook matplotlib numpy pandas python3 seaborn
Last synced: 13 Apr 2026
https://github.com/linsanity03/football_prediction
ML project to predict goal from football events such as penalty, free kick.
jupyter-notebook numpy pandas pyspark python3 tensorflow
Last synced: 11 Apr 2026
https://github.com/saksham-21/data_analysis-on-hindustan-times-
Performed a proper NLP based analysis from the headlines, date published and the category of the news. Moreover created a interactive Dashboard on Tableau
beautifulsoup matplotlib numpy pandas tableau
Last synced: 05 May 2026
https://github.com/supreme-gg-gg/beam-analysis
Fast, customisable, intuitive web application to simplify beam analysis. Certified by Bob the Builder.
civil-engineering matplotlib numpy python streamlit structural-analysis
Last synced: 11 Apr 2026
https://github.com/vviveksharma/barcodescanner
The Bar Code scanning Application built using Computer Vision library such as Opencv in python the main objective of the project is to read the barcode that is being shown in the camera and decoding it and telling if the Database or Text file that is attached to it has that permitted decoded number if yes then it shows "Permitted" is green else "Not-Permitted" in red
Last synced: 10 May 2026
https://github.com/thiagohrcosta/machinelearning-temperature
A Small Machine Learning application leveraging Scikit-Learn and statistical learning to extract knowledge from data without explicit programming.
machine-learning numpy pandas python3 scikit-learn
Last synced: 08 Apr 2026
https://github.com/allanotieno254/pinecone-index-creation-vector-store-database-
This project demonstrates how to create an index in Pinecone, a vector database optimized for similarity search and machine learning applications. The notebook covers setting up a Pinecone client, creating an index, and managing vector data efficiently.
index jupyter-notebook numpy pinecone python
Last synced: 13 Apr 2026
https://github.com/jminjares4/selected-areas-in-networks
Assignments for Selected Areas in Networks (EE 5390)
matplotlib network-analysis numpy pandas python
Last synced: 08 May 2026
https://github.com/veb-101/deeplearning-specialization-coursera
My Solutions to the course Deeplearning.ai
deep-learning jupyter-notebook keras matplotlib numpy pandas python3 tensorflow
Last synced: 13 Apr 2026
https://github.com/goessl/adjugate
A package for calculating submatricies, minors, adjugate- and cofactor matrices.
adjugate cofactor determinant inverse linear-algebra matrix minor numpy python submatrix
Last synced: 07 Jan 2026
https://github.com/debjyotisaha/web-application-projects
Web Applications developed with the help Python libraries and ML algorithms
algorithms cufflinks machine-learning matplotlib numpy pandas prediction python scikit-learn seaborn sklearn streamlit
Last synced: 13 Apr 2026
https://github.com/djdhairya/car-parking-detection
cnn cv2 deep deep-learning epoch flask keras numpy numpy-arrays opencv pickle tensorflow
Last synced: 13 Apr 2026
https://github.com/ranaessam03/climate-prediction
A machine learning project to predict rainfall using Decision Tree, k-Nearest Neighbors (kNN), and Naïve Bayes, with preprocessing, model evaluation, and custom kNN implementation.
decision-trees knn-classification machine-learning naive-bayes-classifier numpy sklearn
Last synced: 05 May 2026
https://github.com/arnauog/ironhack_data_analytics
Weekly labs to practice everything taught in class during the Data Analytics bootcamp of Ironhack in Barcelona of Sept 2024 - March 2025.
machine-learning mongodb mysql numpy pandas python seaborn tableau webscraping
Last synced: 11 Apr 2026
https://github.com/broodhoney/titanic-ml-from-disaster
This repository contains my analysis and solutions for the Titanic: Machine Learning from Disaster competition on Kaggle. The notebook explores the dataset, performs extensive Exploratory Data Analysis (EDA), applies feature engineering techniques, and builds predictive models to determine survival outcomes based on passenger data
machine-learning numpy pandas python scikit-learn scikitlearn-machine-learning
Last synced: 11 Apr 2026
https://github.com/eigenein/coursera
My Coursera assignments
course course-work coursera coursera-assignment coursera-course coursera-data-science coursera-machine-learning coursera-specialization courses jupyter-notebook kotlin machine-learning numpy pandas python scipy sklearn
Last synced: 13 Apr 2026
https://github.com/patilsukanya/house-price-prediction
Libraries Used
matplotlib numpy pandas scikit-learn seaborn
Last synced: 05 May 2026
https://github.com/ksprugevics/magic-square
Some simple algorithm implementations for solving (ordinary) magic squares using NumPy
algorithms mathematics numpy python
Last synced: 21 Apr 2026
https://github.com/sahaavi/color-detection
Colour detection is the process of detecting the name of any color. Well, for humans this is an extremely easy task but for computers, it is not straightforward. Human eyes and brains work together to translate light into color. Light receptors that are present in our eyes transmit the signal to the brain. Our brain then recognizes the color. Since childhood, we have mapped certain lights with their color names. We will be using the somewhat same strategy to detect color names.
color-detection color-detector numpy opencv-python pandas
Last synced: 10 May 2026
https://github.com/ayushtiwari134/machine_learning_models
A repo where i upload all the models which i train during my journey of learning Machine Learning from scratch
linear-regression logistic-regression machinelearning matplotlib numpy pandas python random-forest scikit-learn
Last synced: 11 Apr 2026
https://github.com/armahdavi/data_analytics_statistics_plotting_pm_airborne_sampling
All codes for the data pipelines processing, statistical modellings, descriptive statistics and plot visualizations from airborne phase of Mahdavi et al. (2021) (Environmental Pollution) Project Miestone: 2018 - 2021
data-science data-visualization machine-learning matplotlib-pyplot numpy pandas python scikit-learn scipy-stats statistics
Last synced: 13 Apr 2026
https://github.com/anarya22/accenture-north-america-data-analytics-and-visualization-job-simulation-on-forage
Completed a simulation focused on advising a hypothetical social media client as a Data Analyst at Accenture. Cleaned, modelled and analyzed 7 datasets to uncover insights into content trends to inform strategic decisions. Prepared a PowerPoint deck and video presentation to communicate key insights for the client and internal stakeholders.
analyzing-visualization data-cleaning data-visualization numpy pandas powerbi powerpoint-presentations
Last synced: 09 May 2026
https://github.com/athari22/investigating-netflix-movies-and-guest-stars-in-the-office
Apply basic Python skills in Introduction to Python and Intermediate Python by processing and visualizing film and television data.
data-analysis data-science data-visualization loop loops matplotlib matplotlib-pyplot netflix numpy office pandas python
Last synced: 11 Apr 2026
https://github.com/sohan181204/airline-ticket-price-analysis
The analysis of airline ticket prices explores the dynamic and competitive nature of the aviation industry in India. With rapid economic growth and increasing air travel demand, understanding ticket price trends is crucial for airlines, passengers, and policymakers.
Last synced: 11 Apr 2026
https://github.com/naveen88112/final_education
Student Performance Prediction This project examines the student performance data, pre-processes the features, and implements machine learning methods (Random Forest) for the forecasting of final grades. The data is subjected to exploratory data analysis (EDA) and feature engineering prior to model training and assessment.
data-preprocessing exploratory-data-analysis machine-learning model-evaluation numpy pandas python
Last synced: 11 Apr 2026
https://github.com/evan-dg31/data-science
Exploratory Data Analysis (EDA), Predictive Modeling (Supervised and Unsupervised), Regression, Classification, Clustering
classification clustering data-analysis data-science data-visualization machine-learning matplotlib numpy pandas python regression-analysis seaborn
Last synced: 13 Apr 2026
https://github.com/darshanpakhale250-gif/customer-churn-prediction-ml
A machine learning project to predict customer churn using regression and classification models including logistic regression, decision tree, and random forest. Performed EDA, visualizations, and model evaluation. The dataset is taken from Kaggle and implemented in Google Colab.
colab-notebook customer-churn-analysis data-science decision-trees kaggle logistic-regression machine ml numpy pandas python random-forest
Last synced: 13 Apr 2026
https://github.com/kizman-23/supervised_models
Classical prediction of future data using models trained by labeled data
numpy pandas scikit-learn supervised-machine-learning
Last synced: 13 Apr 2026
https://github.com/asier-ortiz/python-for-data-science-and-machine-learning-bootcamp
Python for Data Science and Machine Learning Bootcamp: NumPy, Pandas, Seaborn, Matplotlib, Plotly, Scikit-Learn, TensorFlow, and more
matplotlib numpy pandas plotty python scikit-learn seaborn tensorflow
Last synced: 13 Apr 2026
https://github.com/annygutierrez/bank-ann
Basic Artificial Neural Network
keras matplotlib numpy pandas sklearn
Last synced: 13 Apr 2026
https://github.com/fearless-spider/spideroptic-cli
Spider Optic CLI is a command line application.
cement cli cli-app command-line makefile numpy oanda pypi python
Last synced: 01 May 2026