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/ZauJulio/FeaturesAnalyzer
Python data analyze and machine learning tool
gtk machine-learning numpy pandas python sklearn
Last synced: 10 Aug 2025
https://github.com/dwarkadhish2005/house-price-predictor
Applied neural network for machine learning and done many analysis of data
keras matplotlib numpy pandas python seaborn sklearn
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https://github.com/affan-ch/gesture-talk-ai
GestureTalkAI: Decode hand language with precision. This AI project utilizes cutting-edge computer vision for real-time hand gesture detection, unveiling the unspoken messages conveyed through intuitive movements.
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https://github.com/paulo-santos-ds/desenvolvimento_pocos_petroleo
Este projeto tem como objetivo desenvolver um modelo que possa prever o melhor local para a perfuração de poços de petróleo. Utilizando modelo de Machine Learning para poder prever o lucro de cada poço.
math matplotlib-pyplot numpy pandas python3 sklearn
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https://github.com/cchandre/vm15d
Hamiltonian fluid reduction of the 1.5D Vlasov-Maxwell equations
fluid-simulation fluid-solver hamiltonian kinetic-modeling mathematica matlab numpy plasma-physics python3 scipy vlasov-equation vlasov-solver
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https://github.com/amanpatel-1234/automatic_data_analyzer_app
📊 Automatic Data Analyzer is a Streamlit web app that performs complete data analysis with just a single file upload. Simply upload your CSV file, and the app automatically generates: Data Overview: Preview, summary statistics, and data types. Visual Analysis: Histograms, distribution plots, and interactive charts for numeric columns.
app data-science data-visualization matplotlib-pyplot numpy pandas python3 seaborn seaborn-plots streamlit
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https://github.com/c0sogi/python-dcm
A high-performance Python package for handling ETAS DCM(Data Conversion Format) files used in engine calibration tools like INCA, MDA, EHANDBOOK, and CANape.
automotive dcm ecu-calibration etas inca numpy pandas python
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https://github.com/bhavik-jikadara/house-price-prediction
House Price Prediction
data-science dataprocessing eda jupyter-notebook machine-learning matplotlib model numpy pandas python seaborn test-train-dataset
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https://github.com/skazemi/genadequacy.jl
Tools for single node generation adequacy analysis
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https://github.com/tom474/rice_plant_disease_classification
[RMIT 2025A] COSC2753 - Machine Learning - Group Assignment
classification machine-learning matplotlib numpy pandas python scikit-learn seaborn tensorflow
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https://github.com/parneet-sandhu/virtual-try-on
This project uses OpenCV, Mediapipe, and NumPy to create an interactive virtual try-on experience. The application overlays a virtual accessory (e.g., glasses) onto the user's face using webcam input and allows users to control the brightness of the camera feed and capture screenshots using hand gestures.
computer-vision mediapipe numpy opencv python tkinter
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https://github.com/rhazra-003/fake_news_detector
A Machine Learning model to detect fake news with more than 95% accuracy
fake-news numpy pandas scikit-learn
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https://github.com/martincastroalvarez/python-deep-learning-algorithms
Combinatorics implemented with numpy, matplotlib and scipy.
algebra combinatorics matplotlib numpy python scipy
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https://github.com/khaymanii/heart-disease-prediction-model
This repository contains a model built using python and Logistic Regression algorithm
matplotlib numpy pandas python sckit-learn
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https://github.com/assamirzafar/learning
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https://github.com/mansurpro/digitrecognizer
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https://github.com/smusab9152/pokemon_data_analysis
This repo that explores and analyzes a dataset of Pokémon attributes. The analysis includes data cleaning, exploratory data analysis (EDA), and visualizations .
analytics data-analysis data-visualization exploratory-data-analysis jupyter-notebook matplotlib numpy pandas pokemon python seaborn statistical-analysis
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https://github.com/jeelmakani/wind-energy-forecasting
Wind energy Forecasting using Time series forecasting
forecasting machine-learning numpy pandas python3 seaborn tensorflow time-series time-series-analysis
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https://github.com/abhishekyana/zframework
Z Framework for Easy Deep Learning
deep-learning machine-learning numpy python tensorflow
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https://github.com/celineboutinon/bottleneck
ENSAE-ENSAI Formation Continue (Cepe)/OpenClassrooms Data Analyst 2022-2023 - Projet 5
data-analysis data-analytics data-visualisation dataframes market-intelligence marketing-analytics matplotlib-pyplot missingno numpy pandas python seaborn
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https://github.com/emmanuelezenwere/aind-aiprojects
Portfolio of AI projects developed during my Udacity AI Nanodegree, covering Planning AI, Constraint Satisfaction, Hidden Markov Models, and Search algorithms.
alpha-beta-pruning astar-algorithm bellman-equation breadth-first-search constraint-satisfaction-problem depth-first-search hidden-markov-model kalman-filter minmax-algorithm networkx nltk numpy pandas scikit-learn scipy sympy
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https://github.com/hernandemonteiro/host_national_search_2015
Análise Estatística da Pesquisa Nacional por Amostra de Domicílios
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https://github.com/rishraks/color-object-detection
This project enables real-time detection of user-defined color objects using a webcam. Users enter a color name, and the program identifies objects matching that color by converting it to its HSV range, applying a mask, and detecting contours. It's a practical tool for object tracking, sorting, and interactive applications.
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https://github.com/rara-ch/data-analysis-portfolio
This repository to store my data analytics projects, showcasing my skills in SQL and Python.
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https://github.com/alexandrbig1/py-design-analysis-algo
Advanced Python project on the design and analysis of algorithms. Includes practical modules on dynamic programming, graph theory, big data (Bloom filter, HyperLogLog), parallel computing (MapReduce), and optimization. Uses libraries like NumPy, Matplotlib, NetworkX, BTrees, PrettyTable, and Datasketch for efficient computation and visualization.
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https://github.com/ayaanjawaid/google_playstore_data_analysis
This project provides an in-depth analysis of Google Play Store apps and user reviews, focusing on understanding app performance, user sentiment, and key trends in app categories. Using Python, I performed data cleaning, feature engineering, and exploratory data analysis (EDA) on app data and reviews.
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https://github.com/juzershakir/iris_flower
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This is a machine learning work that uses various machine learning algorithms to predict whether a patient is diabetic or not. Here various machine learning algorithms like SVM, RF Classifier, DT Classifier, KNN, LR , LR with CV, NB Classifier, and XGB are used. For this work, a website is made with Python Streamlit library.
classification cross-validation decision-tree-classifier diabetes diabetes-prediction jupyter jupyter-notebook logistic-regression machine-learning machine-learning-algorithms numpy pandas python random-forest random-forest-classifier regression streamlit support-vector-machine xgboost xgboost-classifier
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https://github.com/ryantusi/ai_ml_fundamentals
Welcome to my GitHub repository showcasing projects completed during the AI/ML Foundation course from Codecademy. This repository contains a collection of projects that demonstrate my skills and knowledge in the field of artificial intelligence and machine learning.
artificial-intelligence data-science data-visualization exploratory-data-analysis foundation machine-learning numpy pandas python
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predict the price of sale car
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Differental Equations course on AGH UST 22/23.
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https://github.com/freebirdscrew/datascience_crash_course
Data Science Crash Course that Explained about Each and Every Process in Data Science.
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https://github.com/ralstonraphael/water_access_ml_project
This project analyzes life expectancy data from the World Health Organization (WHO), sourced from Kaggle. The dataset spans 183 countries across 6 regions, covering metrics such as life expectancy, mortality rates, healthcare access, and socioeconomic factors.
data-science machine-learning numpy pandas python
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https://github.com/lasithaamarasinghe/movie-recommender-system
This ML model recommends movies that may align with the user's preferences based on TF-IDF matrix.
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https://github.com/erickarpovits/carbon-metrics-model
Investigation Of Covid’s Impact On Carbon Emission Rates In the United States
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https://github.com/vvipjain/employee-analysis
Employee Data Analysis
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https://github.com/rkarahul/vehicle-number-plate-detection-and-ocr-reading-using-opencv-and-paddleocr
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https://github.com/vineet416/eda-travel
EDA Travel data by PW Skills Data Analytics Course.
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Midterm Exam Titanic data set
data-science dataframe dataset jupyter-notebook matplotlib numpy pandas python seaburn
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https://github.com/luluw8071/neural-network-from-scratch-using-numpy
A linear neural network from scratch using Numpy for training MNIST Dataset
deep-neural-networks digit-recognition-mnist mnist-classification neural-network-from-scratch numpy python
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https://github.com/aryansingla45/image-classification-project
A Deep Learning Model which classifies Cats and Dogs.
artificial-neural-networks convolutional-neural-networks deep-learning keras machine-learning numpy pandas python tensorflow
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https://github.com/moindalvs/assignment-basic-stats-level1
Assignment Basic Stats
bia binomial-distribution boxplot confidence-intervals datatypes descriptive-statistics inferential-statistics normal-distribution numpy pandas probability python3 scipy-stats statistics z-score
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Descriptive Statistics, Classification and Analysis Using Python & Python Libraries (Assignment 1)
analysis data datasets deep-learning jupyter-notebook matplotlib neural-networks numpy pandas plotting python seaborn
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https://github.com/cyberoctane29/unicorn-companies-analysis
This project explores unicorn companies, private startups valued at over $1 billion, using Python for data analysis. It covers industry trends, geographic distribution, and investment patterns through EDA, including data cleaning, handling missing values, datetime transformations, and visualizations to uncover key insights.
data-analysis eda numpy pandas python
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https://github.com/codewitheshayoutube/corvit_python_data_analytics_course
I teach Python & Data Analytics at Corvit Systems. This repository contains all course materials, including code, assignments, projects, and resources. ⭐ Stay updated!
matplotlib numpy pandas python python3 scikitlearn-machine-learning seaborn
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https://github.com/gandhasiri-rahul-mohan/association-rules-q1-books
Prepare rules for the all the data sets 1) Try different values of support and confidence. Observe the change in number of rules for different support,confidence values 2) Change the minimum length in apriori algorithm 3) Visulize the obtained rules using different plots
apriori-algorithm association-rules data-science machine-learning numpy pandas python unsupervised-machine-learning
Last synced: 04 May 2026
https://github.com/prodev717/neurogen
A simple Python library to build and train deep neural networks (SLP and MLP). It includes functions for forward propagation, backpropagation, loss calculation, and model saving/loading.
ai backpropagation deep-learning machine-learning mlp neural-networks numpy python slp
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https://github.com/satyanaryana-merla/financial-analysis-in-loan-analytics
sample datasets containing information about several loans, including details such as loan amount, interest rate, term duration, and other key characteristics. For this project, we need you to calculate a cash flow amortization schedule for each loan,
amortization amortization-schedule bank numpy pandas python
Last synced: 17 Apr 2026
https://github.com/21aja/house_price_prediction_revised_project
House price prediction using ML with Decision Tree Regressor achieving 100% accuracy. Preprocessing, EDA, and model evaluation applied using Python, Pandas, NumPy, Scikit-learn, and XGBoost for data-driven insights.
decision-tree-classifier linear-regression numpy pandas xgboost
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https://github.com/li-plus/tinynn
An educational PyTorch-like neural network framework based on NumPy
autograd deep-learning machine-learning neural-network numpy python
Last synced: 30 Apr 2026
https://github.com/programmer-rd-ai/dimensionality-reduction
DimRed is a comprehensive Python toolkit for advanced dimensionality reduction, integrating with major machine learning libraries and featuring real-time performance monitoring to enhance data analysis and model efficiency.
analytics data-analysis data-science lightgbm machine-learning matplotlib numpy pandas programming python python3 sklearn university xgboost
Last synced: 01 Mar 2025
https://github.com/richecr/projetocrowd4city
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bert-as-service bi-lstm gensim lda nltk-python numpy numpy-library pandas python sklearn spacy-nlp speech-recognition tf-idf topic-modeling twitter-api web-scraping xgboost youtube-dl
Last synced: 09 Apr 2026
https://github.com/rahatmoktadir03/market-anomaly-detection
This AI-engineering project involves building a machine learning model to classify financial market conditions and detect potential market crashes. It includes developing investment strategies based on the model’s predictions and designing an AI-driven bot to explain the results to end users.
ai anomaly-detection financial-analysis investment-strategies machine-learning numpy pandas python sklearn
Last synced: 09 Feb 2026
https://github.com/kwanit1142/sars-cov-2-detection-radiology-based-multi-modal-multi-task-framework
Keras-based Implementation for "SARS-CoV-2 Detection: Radiology based Multi-modal Multi-task Framework" (Accepted in 45th IEEE EMBC 2k23)
gans keras matplotlib numpy opencv os pandas pillow scipy sklearn tensorflow transfer-learning wasserstein-distance
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https://github.com/programmer-rd-ai/moviedatascraper
Explore the cinematic universe with our IMDb web scraping project! Dive into movie data with ease, uncovering insights from cast to critical reviews. With dynamic visualizations and reliable data, let's journey through the world of movies like never before. Lights, camera, analysis!
beautifulsoup beautifulsoup4 data data-analysis jupyter-notebook matplotlib numpy pandas programming python python3 scraping seaborn software web
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https://github.com/aditya-ranjan1234/1stsem-el-dataset-analysis
Netflix Dataset Analysis
beginner matplotlib numpy pandas python
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https://github.com/rakibhhridoy/exploratorydataanalysis-python
Exploratory data analysis is an approach to analyzing data sets to summarize their main characteristics, often with visual methods. A statistical model can be used or not, but primarily EDA is for seeing what the data can tell us beyond the formal modeling or hypothesis testing task.
ab-testing chitest data-science eda exploratory-data-analysis ftest hypotheses hypothesis-testing inferential-statistics numpy pandas python statistical-analysis statistics statsmodels ttest
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https://github.com/esvs2202/credit-card-fraud-detection-system
This fraud detection system is powered by a Machine Learning model, which accurately identifies whether an initiated transaction is fraudulent.
azurewebapp flask gunicorn-web-server html-css machine-learning matplotlib-pyplot numpy pandas powerbi python3 randomforestclassifier seaborn
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https://github.com/hokagem/byakuganvisualizer
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color-blind color-correction colorblind image-manipulation numpy pillow
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https://github.com/htlinh0604/invoice-data-extraction
This project demonstrates a classic OCR pipeline. This Flask app takes an image, applies an OpenCV preprocessing pipeline, and uses Tesseract OCR to digitize Vietnamese invoices (Bách Hóa Xanh)..
flask numpy ocr-recognition opencv pandas python regex tesseract-ocr
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https://github.com/parawanderer/quantumcircuitdesigner
Interactive quantum circuit simulator
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https://github.com/takkii/pylean
Data analysis ( 🐍 💎 📈 )
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https://github.com/vidhi1290/ai-ml-cartoonifier
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bilateral-filter cartoonify-ai edge-detection matplotlib numpy opencv skimage tensorflow
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Jupyter Lab sur le traitement des données en python
jupyter-lab matplotlib numpy pandas python
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https://github.com/mikelane/neuralnetwork
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https://github.com/fatma-moanes/deep-learning-labs
My implementation for the labs of the Neural Networks and Deep Learning course that I studied at my university, Zewail City.
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https://github.com/harshita2234/breast-cancer-prediction
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https://github.com/imswappy/brain-tumor-detection
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kagglehub keras numpy pandas scikit-learn streamlit tensorflow vgg16-model
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https://github.com/hansalemaos/permutation_no_repetition
Permutation without repetition - written in Cython - for Numpy
cython data-science no-repetitions numpy pandas permutations
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https://github.com/yannbouyeron/genopy
Analyses génétiques et phylogénétiques pour les SVT
biopython genetique lycee numpy pandas phylogenie svt
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https://github.com/ramamagarwal/mathematical-simulation-projects
This repository comprises my math modelling-based projects covering topics of Linear Algebra, Probability and Statistics.
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https://github.com/enjirouz/intelligentsystems
Expert systems examples: production type expert systems with direct and reverse logical conclusion; numpy perceptron; numpy neural network trained on logic AND operation; convolutional neural network for image recognition using cifar10 dataset and keras
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https://github.com/suraj-sedai/finance_graph-personalized-analytics
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https://github.com/sivatsk26/university-admit-eligibility-predictor
This project is created using Machine Learning and Regression methods- a statistical technique to predict the outcome of event which is to verify the users’ admission eligibility level, considering the universities they have chosen. This is achieved based on the algorithms implemented, when is user feed the application with the required information
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https://github.com/akshaypatra/expression_detector
The Expression Detector is an AI-based system that identifies and classifies human facial expressions in real-time . It utilizes computer vision and deep learning techniques to analyze facial features and determine the emotional state of a person, such as happiness, sadness, anger, surprise, fear, disgust, or neutrality.
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https://github.com/abhishek010397/machinelearning-modeltraining
Machine Learning Model Training for Car Detection
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https://github.com/hklyousfi/cyberxnoteloom
Hybrid piano synthesizer with ADSR envelopes, resonance modeling, and MIDI rendering
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https://github.com/solrikk/optichrom
This repository provides a collection of Python tools and applications for comparing images using various algorithms such as ORB (Oriented FAST and Rotated BRIEF) and SSIM (Structural Similarity Index). The tools include both command-line scripts and graphical user interface (GUI) applications for ease of use
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https://github.com/mgobeaalcoba/linear_algebra_for_machine_learning
Explore fundamental linear algebra concepts essential for machine learning in this repository, with code examples and explanations. Get a solid foundation for ML!
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https://github.com/smallgig/pickomino
Reinforcement Learning Environment with Gymnasium API
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https://github.com/mrhashemi/optimizers
Python implemntation of Conjugate Gradient method and Adam, and Broyden–Fletcher–Goldfarb–Shanno (BFGS) optimizers from scratch.
adam-optimizer bfgs conjugate-gradient numpy optimizer scipy
Last synced: 30 Apr 2026
https://github.com/udacity-machinelearning-internship/finding_donors
First stage project at Udacity on the 'Intro to Machine Learning with TensorFlow' program using sckit-learn in python
csv machine-learning matplotlib numpy pandas python sckiit-learn seaborn sklearn udacity udacity-nanodegree
Last synced: 16 Apr 2026
https://github.com/garcane/income-prediction-ml
This is a machine learning project aimed at predicting whether an individual's annual income exceeds $50,000 based on their demographic and personal information.
data data-science machine-learning ml numpy pandas python random-forest scikit-learn
Last synced: 08 Apr 2026