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: 2026-06-25 00:18:02 UTC
- JSON Representation
https://github.com/djdhairya/breast-cancer-prediction
accuracy aiml machine-learning mean numpy pandas pkl prediction python streamlit
Last synced: 11 Apr 2026
https://github.com/priyanshul28/exercise_pandas
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 matplotlib numpy pandas
Last synced: 09 May 2026
https://github.com/badranalyst/movie-correlation-analysis-in-python
This project analyzes movie data correlations using Python libraries like Pandas, NumPy, Seaborn, and Matplotlib. It examines relationships between attributes such as ratings, genres, and box office performance to uncover trends that inform recommendations and enhance understanding of movie success factors.
data data-analysis dataset jupyter jupyter-notebook matplotlib matplotlib-pyplot numpy pandas python seaborn
Last synced: 03 May 2026
https://github.com/bhavna-kale/cars-eda-project
Project analyzing used car market data to identify high-impact price drivers and depreciation curves, presented through an interactive web application.
data-analysis excel matplotlib numpy pandas python3 searborn streamlit
Last synced: 03 May 2026
https://github.com/krumyakimov/house-price-developments-in-bulgaria
I developed this project for my final exam in the Data Science course at SoftUni.
data-science jupyter-notebook matplotlib numpy pandas scipy seaborn
Last synced: 03 May 2026
https://github.com/kisaa-fatima/foreground-segmentation-using-kmeans-face-recognization-using-knn
Implement a basic version of the interactive image cut-out/segmentation approach called Lazy Snapping. The program uses K-Means Clustering to segment images into foreground and background based on user-provided seed pixels.
face-recognition foreground-segmentation kmeans-clustering knn-classification matplotlib numpy opencv2 pil
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https://github.com/alexbie98/bietorch
neural nets with numpy
autograd neural-nets numpy torch
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https://github.com/chicoyildiz/python-raytracing-demo
Interactive Python ray tracer (numpy + pygame) with a ceiling camera, dynamic resolution scaling, and a glowing bouncing fireball.
numba numpy python python3 raytracing
Last synced: 14 May 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
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https://github.com/sanjurajveer/market_basket_analysis
Finding pattern of bought objects through market basket analysis
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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
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https://github.com/raduldev/datasciencepython
Interview Task From CSIR-IGIB, Delhi & maps for journal
biopython colab-notebook counter jupyter-notebook matplotlib numpy pandas
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https://github.com/raufjatoi/ai-programming
Programming for AI labs
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https://github.com/thiagonunesbatista/deuteranopia-simulator-computer-vision-python
Live color detection with a webcam and a simulation of deuteranopia's color perception effects.
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https://github.com/farhannaeem00/data-visualization-practice
Learning matplotlib fundamentals - seeking feedback and code reviews
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https://github.com/nak-dt/deep-decision-forest
A custom ensemble tree model inspired by Deep Forest
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https://github.com/prathicashettym/machinelearningalgorithms
Contains mini projects and implementation using ML algorithms
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https://github.com/sadmanca/imdb-scraper
Scrapes IMDb's movie database and outputs the data to CSV files.
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https://github.com/mzayles/data-preparation.py
Curso Programação em Python para Data Science | Preparando e tratando dados de uma base de vendas com Pandas e NumPy.
Last synced: 03 May 2026
https://github.com/codeslash21/tmdb_data_analysis
We analysed TMDB dataset which contains around 11000 movies details. We analyzed to find some interesting facts about the dataset.
data-analysis data-visualization matplotlib nanodegree-project numpy pandas python tmdb-movie
Last synced: 03 May 2026
https://github.com/akhil-krishnan-r/super_market_analysis
The growth of supermarkets in most populated cities are increasing and market competitions are also high. This dataset is one of the historical sales of supermarket company which has recorded in 3 different branches for 3 months data. Predictive data analytics methods are easy to apply with this dataset
data-visualization matplotlib numpy pandas seaborn
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https://github.com/vinicius999/icu-beds-forecast-covid-19
Predição da ocupação de leitos de UTI no Brasil devido a pandemia do COVID-19, usando Support Vector Regression (SVR)
covid-19 matplotlib numpy pandas python sklearn support-vector-regression
Last synced: 03 May 2026
https://github.com/kaustavmodak/business-aided-customer-feedback-assessment-system
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framework machine-learning matplotlib nlp nltk numpy pandas pickle regex scikit-learn seaborn sentiment-analysis streamlt tfidf-vectorizer
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https://github.com/carol-neto/sprint-9-making-data-driven-business-decisions
In this project I evaluate hypotheses using ICE and RICE and perform A/B testing analysis.
abtesting dataanalysis hypothesis-testing matplotlib numpy pandas python scipy-stats seaborn
Last synced: 03 May 2026
https://github.com/dulajkavinda/numpy-ml
🔢 Calculations with NumPy library.
calculations jupyter-notebook machine-learning matrices numpy numpy-arrays python
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https://github.com/muskanmi/data_analysis_python
Data analysis on students result dataset using python libraries.
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https://github.com/veranyagaka/python
Everything Python
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https://github.com/syed-m-nofel/python-data-science-fundamentals
Python notebooks for data manipulation (Pandas/NumPy) and API workflows – from basics to practical examples.
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https://github.com/ankitgmishra/machinelearning
Continuously deep diving in understanding & advancing my expertise in Machine Learning through ongoing education and hands on experience with practical learning.
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https://github.com/asayda01/airport_operations_analytics
The project analyzes the performance of Hold Baggage Screening X-ray Machines, identifying trends in system load, bottlenecks, and operator efficiency. Using an interactive Streamlit app, users can explore data-driven insights to optimize airport screening processes and improve overall operational performance.
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Last synced: 03 May 2026
https://github.com/coderooz/handwritten_digit_recognition
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https://github.com/feguedi/clasificador-numeros
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https://github.com/nicolashaubricht/analise-dados-pib-per-capita
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https://github.com/dhanish03/credit_card_fraud_detection
Developed and implemented an advanced CCFDS using ML algorithms and pattern recognition techniques. Integrated real-time monitoring and adaptive learning capabilities into the system to dynamically adjust fraud detection parameters, ensuring effectiveness in identifying emerging fraud patterns.
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https://github.com/volf52/deep-neural-net
A simple deep neural net class written to work with Numpy and Cupy
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Last synced: 05 May 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.
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Computer Vision Intro
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The implementation of a function that takes an image (RGB or gray one) and a filter (kernel) and applies a convolution between them.
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https://github.com/arjunravi26/selenium
This repository contains code from my learning about Selenium for web scraping and automation.
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https://github.com/akashparley/ipl-data-analysis
The IPL Data Analysis project focuses on extracting valuable insights from IPL match data using various data analytics techniques. By analyzing historical match outcomes, player performances, team comparisons, and venue statistics, the project visualizes trends and patterns through graphs like bar charts, line graphs, and scatter plots.
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https://github.com/sohamrider786/house_price_predictor
A machine learning project to predict house prices based on various property features using advanced regression techniques. This project demonstrates end-to-end model development, including data preprocessing, feature engineering, model training, evaluation, and visualization.
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https://github.com/yareva/linear-regression-predictor
Linear Regression Predictor Model
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https://github.com/dr-rompecabezas/medical-data-visualizer
[freeCodeCamp] Medical Data Viz Jupyter Notebook built with Matplotlib and Seaborn
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https://github.com/bpkaur/whats-in-a-name
Exploring dataset of first names of babies born in the US in order to uncover interesting stories
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https://github.com/vadimkantorov/fasttsv
TSV parser for Python in pure vectorized NumPy code
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https://github.com/abideen-olawuwo/sign-language
Multi Class Image Classification
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https://github.com/damisparks/become_data_analyst
Are you new to Data Analysis ? Here you will find simple notebook that will help through your journey. These are personal projects I work on and still working.
data data-analysis data-visualization matplotlib numpy pandas-tutorial
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https://github.com/mchenryspagg/investigate_a_dataset
This is a data analysis project that demonstrates the student's ability to use python data analysis libraries such as pandas, numpy and pyplot in matplotlib to investigate a dataset and answer specific questions from the dataset, thus demonstrating skills in data cleaning, data wrangling, and exploratory data analysis.
data-analysis datetime descriptive-analysis descriptive-statistics exploratory-data-analysis numpy pandas pyplot python visualization
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https://github.com/abhivur/graduate-income-forecaster
Contributors: Abdussalam Raheem, Chiara Su, and Joseph Botros
matplotlib numpy pandas python scikit-learn seaborn
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https://github.com/miozilla/fescarefine
fescarefine :skier::mount_fuji::guide_dog: : Refine & Test ML Models # Features Scaling # Normalization # Datasets
gradient-descent linear-regression matplotlib model-testing mse norm numpy ols overfit pandas scatter seaborn sklearn standardization statsmodels underfit
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https://github.com/sadegh-khedry/titanic-survival-prediction
Predicting Titanic survival using neural networks.
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https://github.com/arjunravi26/deep_learning
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ann autoencoders cnn deep-learning deepseek-r1 lstm numpy rnn-tensorflow tensorflow transformer
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https://github.com/timothyjan/intro-machine-learning-classifiers
We will use the scikit-learn library, which is a higher-level machine learning library that will work with NumPy data, and Pandas, a library that makes it easier to manipulate data. We will explore a variety of classification algorithms, and compare their performance on a “real-world” dataset, which will introduce its own set of challenges.
numpy pandas python scikit-learn
Last synced: 11 Apr 2026
https://github.com/mohammadmahdi-abdolhosseini/data-analysis-and-ai-courses
Artificial Intelligence + Engineering Probability & Statistics courses projects
classification data-visualization genetic-algorithm jupyter-notebook machine-learning matplotlib minmax-alpha-beta-pruning neural-network numpy pandas python
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https://github.com/jonad/titanic_exploratory_analysis
Exploratory Data Analysis on Titanic Dataset
jupyter-notebook numpy pandas python3
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https://github.com/sumaiyyaf/movie-industry-analysis
This project focuses on the acquisition and in-depth analysis of movie data to generate strategic recommendations, guiding our hypothetical company's successful entry into the movie industry.
exploratory-data-analysis numpy pandas python visualization webscraping
Last synced: 04 May 2026
https://github.com/florasteve/ml-foundations-day1
Day-1 ML foundations focused on linear algebra: vectors, dot products, norms, angles, projections, and basic matrix operations—implemented in a Jupyter notebook with NumPy/Matplotlib, clear 2D visuals, a self-quiz, and a brief reflection. Emphasizes how these math primitives map to core ML/AI ideas (similarity, least squares, geometric transforms).
ai data-science education jupyter-notebook linear-algebra machine-learning matplotlib numpy python3 terminal-mac tutorial visualization vscode
Last synced: 04 May 2026
https://github.com/kirtipratihar/python_libraries_for_ds
This repository serves as a comprehensive guide to Python programming for Data Science. It covers essential topics like data manipulation, data visualization, machine learning, and statistical analysis using popular libraries such as Pandas, NumPy, Matplotlib, Seaborn, and Scikit-Learn.
artificial-intelligence machine-learning numpy pandas python scikit-learn tensorflow
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https://github.com/sugha22/data_analysis
Actively upskilling in data science with hands-on learning during a Green Internship focused on environmental sustainability. Used Pandas and NumPy for data preprocessing and cleaning, and created visual dashboards in Excel and Tableau. Gained experience in interpreting sustainability metrics and communicating insights through data storytelling and
data-cleaning data-collection data-storytelling data-transformation excel numpy pandas preprocessing sustainability-metrics tableau-dashboards visualization
Last synced: 04 May 2026
https://github.com/linsanity03/algorithmic_trading
Trading strategy based on the intersection of short-term and long-term moving averages.
jupyter-notebook matplotlib-pyplot numpy pandas
Last synced: 04 May 2026
https://github.com/silbena/gibbssampler
Gibbs Sampler for a simple mortgage model.
gibbs-sampler gibbs-sampling numpy python
Last synced: 04 May 2026
https://github.com/nordic96/lanedetection
Lane Detection Module using OpenCv and Python for educational purpose.
computer-vision lane-detection matplotlib-pyplot numpy opencv python3
Last synced: 04 May 2026
https://github.com/saifalibaig/crop-yield-prediction
🌾 A machine learning-based crop production prediction system using historical Indian agricultural data with advanced regression models and hyperparameter tuning.
eda feature-encoding feature-selection kaggle-dataset lasso-regression linear-regression matplotlib-pyplot numpy onehot-encoding pandas python3 ridge-regression seaborn simpleimputer xgboost-regression
Last synced: 04 May 2026
https://github.com/armahdavi/analytics-data-pipelines-statistics-plotting---dust-extraction-hvac-filters---phase-1
PhD Technical Paper 1 - Phase 1 - Mahdavi & Siegel (2020) (Aerosol Science & Technology; AS&T) - Sharing all the data pipelines, processing codes, descriptive statistics, statistical modellings, and plotting/visualizations - Project Miestone: 2017 - 2020 - Full-length article is available
matplotlib numpy pandas pandas-dataframe pyplot python scipy-stats sklearn
Last synced: 13 Apr 2026
https://github.com/pedasoft-consult/product_purchase_prediction
As a newly hired AI Engineer, your task is to predict customer behavior based on various features such as age, income, and gender. This exercise involves cleaning the data, training a decision tree model, and evaluating the model's performance to understand the key factors influencing customer purchasing decisions.
machine-learning matplotlib numpy pandas python seaborn sklearn
Last synced: 04 May 2026
https://github.com/shamiul5201/selfie_app_features_application
OpenCV project to build skills in image processing: features include Cartoonify and Pencil Sketch effects in a Jupyter Notebook, blemish removal in a Python script, and chroma keying for videos. Perfect for exploring creative and practical computer vision techniques.
computer-vision numpy opencv python
Last synced: 04 May 2026
https://github.com/0nom4d/308reedpipes
Mathematical EPITECH Project - This project computes a representation of a reedpipe.
coverage epitech epitech-project matplotlib-pyplot numpy pytest python scipy
Last synced: 04 May 2026
https://github.com/faisal-khann/python-practice
This is the section for python practice, where we engage in programming exercises to improve our Python skill.
numpy numpy-arrays pandas python
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https://github.com/jigyasag18/fake-news-prediction-app
The Fake News Prediction App Repository offers a machine learning project that focuses on identifying the authenticity of news articles as fake or real. It uses a dataset of 20,000 articles and employs methods such as TF-IDF vectorization and the Lemmatization algorithm, achieving ~95% classification accuracy with random forest classifier model
data datapreprocessing logistic-regression machine-learning machine-learning-algorithms numpy pandas prediction stemming streamlit streamlit-webapp vectorization
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https://github.com/jakubfr4czek/apartment-prices-analysis
This repository contains an analysis of apartments prices in Krakow. It was made for "Rachunek prawdopodobieństwa i statystyka" (probability and statistics) course i took at AGH University of Science.
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https://github.com/powei-lin/least-square-problem-example
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autograd least-square-regression least-squares matplotlib numpy python python3 scipy
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https://github.com/alphacrypto246/air-quality-prediction
The Air Pollution Prediction project forecasts pollution levels using the Air Quality UCI dataset, including variables like CO, NOx, temperature, and humidity. It analyzes temporal and environmental factors to predict air quality trends.
machine-learning numpy pandas scikitlearn-machine-learning sckiit-learn
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https://github.com/darshan12345678910/loan_predict-logisticregression-ml-algorithms
implementation of LogisticRegression
eda logistic-regression ml-algorithms numpy pandas
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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.
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https://github.com/katalekoweb/full-python-course-for-ai
Full python curse for AI
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https://github.com/privatepeople/machinelearning-deeplearning
머신러닝과 딥러닝 공부를 위한 저장소
deep-learning deep-neural-networks deeplearning dl machine-learning machinelearning ml numpy pandas python scipy tensorflow
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https://github.com/aniruddhakhedkar/eda_for_chinese_automotive_company_teclov_chinese
Exploratory_Data_Analysis_Python_Project_1
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Last synced: 10 Apr 2026
https://github.com/dyrits/parite
OPENCLASSROOMS | PERFECTIONNEZ-VOUS EN PYTHON
matplotlib numpy pandas python
Last synced: 04 May 2026
https://github.com/zuhairzia/titanic-survival-project
This is a Titanic Survival Prediction Model developed using Python, Pandas, Scikit-learn, and Jupyter Notebook. The model predicts whether a passenger survived the Titanic disaster based on features such as age, gender, and passenger class.
csv-dataset flask jupyter-notebook matplotlib numpy pandas pandas-library python scikit-learn seaborn streamlit
Last synced: 11 Apr 2026
https://github.com/aqueeqazam/machine-learning-using-scikit
This repository contains all of the algorithms used to train the machine learning models using the Scikit library.
Last synced: 04 May 2026
https://github.com/utkarsh251106/cricket-shot-analyzer
Real-time cricket shot analyzer using Python, OpenCV, and MediaPipe. Processes videos frame-by-frame, overlays pose and biomechanical metrics, and outputs an annotated video with JSON evaluation. Also the output video might have "??" in it which is there cause OpenCV can't display degree's symbol.
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Last synced: 05 May 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/trissim/polystore
Framework-agnostic multi-backend storage abstraction for ML and scientific computing
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Last synced: 12 Apr 2026
https://github.com/kaungkhantkyaw1997/face_recognition
A Computer Vision tool designed to identify and recognize characters in images.
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https://github.com/ankitmishralive/machinelearning
Continuously deep diving in understanding & advancing my expertise in Machine Learning through ongoing education and hands on experience with practical learning.
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https://github.com/liviuxyz-ctrl/financialportofoliosimulator
FinancialPortfolio is your financial planning ally, helping you manage portfolios, calculate future values, and visualize performance, all with user-friendly ease🚀
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https://github.com/abdulsamie10/convolutionneuralnetworkcifar-10
CNN applied on Cifar-10 database.
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https://github.com/dawoudtormos/rain_predicition_ml
This repository contains a machine learning project for rain prediction using historical meteorological data. The goal is to predict whether it will rain the next day based on weather measurements like atmospheric water vapor, cloud formation, and past rainfall records.
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https://github.com/shreyazh/respire
To deal with Respiratory Challenges
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https://github.com/siddhantborse/atmosviz
Atmos Viz is a Python-based project designed to analyze, visualize, and predict global temperature trends across various cities and countries using time-series analysis and advanced data science techniques. Leveraging historical climate data, this project integrates machine learning models, geospatial mapping, and interactive visualizations to unco
geopandas geospatial-analysis gis matplotlib numpy pandas plotly python scikit-learn seaborn shapefiles time timeseries-analysis timeseries-data
Last synced: 05 May 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/rubada/machine-learning-with-ruba-dabbas
Advance your skills and start your career here, by taking the online courses on Intuidemy.
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Last synced: 12 Apr 2026
https://github.com/purcellcjp/credit-risk-classification
This project utilized Python and scikit-learn libraries to train and evalute a Machinge Learning model based on loan risk.
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Last synced: 12 Apr 2026
https://github.com/anupreet02/deep-learning-challenge
The objective of this analysis is to develop a deep learning model capable of predicting whether a charity funded by Alphabet Soup is likely to be successful. The model is built using the charity dataset, which contains various features related to each charity, and is used to classify charities as successful or not based on these features.
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https://github.com/llwusill/firepredictioncnn
CNN kullanarak Orman Yangını Tahmin/Tespit Sistemi
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Last synced: 12 Apr 2026
https://github.com/2kabhishek/ml-primer
Basic Machine Learning & Data Science in Python/ 📈🐍
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Last synced: 12 Apr 2026