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/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/jeelmakani/wind-energy-forecasting
Wind energy Forecasting using Time series forecasting
forecasting machine-learning numpy pandas python3 seaborn tensorflow time-series time-series-analysis
Last synced: 05 Apr 2026
https://github.com/haloapping/sharing-tipis-tipis
#sharingtipistipis 📗 catatan ketika belajar machine learning, deep learning dan masih banyak lagi.
caring deep-learning machine-learning numpy pandas scikit sharing
Last synced: 09 May 2026
https://github.com/paulo-santos-ds/analise_corrida_taxi
Este projeto tem como objetivo analisar os dados de um aplicativo fictício de caronas. Encontrar padrões nas informações disponíveis, entender as preferências dos passageiros e o impacto de fatores externos nas corridas.
math matplotlib numpy pandas python3 seaborn sql
Last synced: 09 May 2026
https://github.com/rubinlake/rl-academy-data-analytics
Educational data analysis project demonstrating BMW sales data analysis with AI-powered code assistance using Cursor IDE and Jupyter notebooks
cursor-ide data-analysis educational-project jupyter langchain matplotlib numpy pandas python scipy seaborn
Last synced: 09 May 2026
https://github.com/sentustudio/cookiecutter-ciencia-datos
Template para proyectos de ciencia de datos e ingeniería de datos
ai cookiecutter cookiecutter-data-science cookiecutter-template data-science jupyter-notebook machine-learning numpy pandas pyspark
Last synced: 27 Apr 2026
https://github.com/jsdhami/data-science-with-python
Data Science With Python->Target: AI/ML
ai articicial-inteligence deep-learning deep-neural-networks mathematics-machine-learning matplotlib ml numpy pandas python pytourch statistics tensorflow
Last synced: 05 May 2026
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
Last synced: 29 Apr 2026
https://github.com/aarmn/maryam
🧮 Maryam is a light, hackable and accurate python mathematical module written for simple usage with no dependencies (up to now). In memory of Iranian mathematician Maryam Mirzakhani, The first woman and Iranian who's honored by Fields medal
algebra discrete-mathematics maryam math matrix numpy python python3
Last synced: 24 Apr 2026
https://github.com/vasugi2003/air-pollution-detection-using-machine-mearning
Air Pollution Detection using Machine Learning
airpollution datasets machine-learning-algorithms numpy pandas predictive-modeling python3
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https://github.com/krik8235/ml-marcom-budget-optimization
Optimize budget allocation across multiple marketing channels to maximize revenue
gradient-boosting machine-learning-algorithm machine-learning-algorithms machine-learning-projects numpy pandas random-forest seaborn sklearn
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https://github.com/sreejabethu/cost-of-living-index-globally
This Streamlit app is a data visualization tool that allows users to explore and compare the cost of living indices across different countries. The app takes in a dataset of cost of living indices for various countries and provides an interactive interface for users to select specific indices and countries to visualize.
bargraphs costofliving costoflivingindex csv datavisualization index matplotlib-pyplot numpy pandas-dataframe plotly python seaborn streamlit-webapp
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https://github.com/chuvalniy/torchy
Built from scratch neural network library using only NumPy
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https://github.com/khaymanii/big_mart_prediction_model
This model was built using Python and Logistic Regression Algorithm
matplotlib numpy pandas python scikit-learn seaborn
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https://github.com/vvipjain/employee-analysis
Employee Data Analysis
numpy numpy-arrays numpy-library pandas pandas-dataframe pandas-library pandas-python plotly plotly-express plotly-python python python3
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https://github.com/mikelane/neuralnetwork
A neural network implemented in python.
machine-learning matplotlib neural-network numpy python python3
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https://github.com/deusares/drawerfunctions
A collection of PIL, Numpy and OpenCV functions to manipulate images
generative graphic image-processing numpy opencv pil pillow python
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https://github.com/mgobeaalcoba/datacademy
Iré subiendo los distintos desafíos del reto de Platzi llamado Datacademy
anaconda deepnote google-colab jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 04 May 2026
https://github.com/tritonix711/digitvision-number-predictor
"DigitVision: Number Predictor" is a deep learning project that uses a Convolutional Neural Network (CNN) to classify handwritten digits (0-9) from images. Built with Python and TensorFlow, it supports dataset preprocessing, model training, evaluation, and predictions, offering a scalable and accurate solution for digit recognition tasks.
cnn keras matplotlib numpy os pillow plt python tensorflow tkinter
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https://github.com/katerynazakharova/olive-separation
CV
cv2 image-classification numpy opencv python3
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https://github.com/h3ar7b3a7/exploringjupyterlab
This is just an exploration in using Jupyter Lab, Notebook and some useful Python libraries. Some basic commands, markups and extensions setup are documented here too.
bokeh extensions jupyterlab matplotlib notebook-jupyter numpy pandas
Last synced: 04 May 2026
https://github.com/svetlanam/data-scripts
Simple scripts for data cleaning, etl transformations and data reorganisations
data-cleaning data-transformation dimensions etl facts keboola numpy pandas python3 snowflake sql star-schema
Last synced: 04 May 2026
https://github.com/korolev2512/compliance-audit
Program for optimizing a set of activities based on network planning and management methods
copy matplotlib networkx numpy openpyxl os pandas python3 tkinter
Last synced: 16 Apr 2026
https://github.com/thaikoz/data-science
This repository contains various data science projects and exercises implemented in Python using Jupyter Notebooks. It is intended for educational purposes and to document my learning journey in data science.
Last synced: 17 Apr 2026
https://github.com/duoan/machine-learning-notebook
A notebook repository for tracking learning machine learning notebook.
data-analysis decision-tree ensemble-model gbdt machine-learning numpy pandas xgboost
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https://github.com/assamirzafar/learning
My Roadmaps and challenges are in this repo...I will add my colab and kaggle notebook links along with py script files in here.
calculus convolutional-neural-networks deep-learning deep-neural-networks keras linear-algebra machine-learning numpy opencv probability python3 pytorch scikit-learn scipy statistics
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https://github.com/k-ibadullaev/py-ssa-lib
Py-SSA-Lib: Python implementation of the multichannel singular spectrum analysis (MSSA) and singular spectrum analysis (SSA)
mssa numpy python singular-spectrum-analysis ssa time-series time-series-analysis time-series-forecasting
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https://github.com/kevinlacaille/hs1549-hs1700-s2-protoclusters
Code used to galaxy protocluster analysis for Lacaille, K. et al., 2019, MNRAS
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https://github.com/li-plus/tinynn
An educational PyTorch-like neural network framework based on NumPy
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https://github.com/mnitin-reddy/anomaly-detection-in-server-networks
This project implements an anomaly detection algorithm to identify failing servers in a network. The model is trained on a dataset with throughput and latency features, estimating parameters for anomaly detection. The approach is extended to a high-dimensional dataset, showcasing its effectiveness in detecting outliers and anomalies
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https://github.com/akash-rajak/image-resizer
Python Script to resize image to any dimension.
cv2 gui image-resizer numpy os python3 random resizeimage tkinter
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https://github.com/m-aadhi/game-review-sentiment-analysis
This project aims to analyze and predict the sentiment of game reviews using natural language processing (NLP) and machine learning techniques. The objective is to determine whether a review is positive, negative, or neutral based on its content.
matplotlib numpy pandas-library python
Last synced: 19 Jun 2026
https://github.com/asadullah-imran/student-performance-data-analysis
This is a very simple exploratory data analysis of Student Performance in a class. data is taken from Kaggle.
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https://github.com/kiritoind/neural-network-for-cat-image-classification
This script defines essential functions for constructing a deep neural network from scratch for image classification. It includes activation functions like sigmoid and ReLU, data loading from H5 files, parameter initialization, forward and backward propagation for training, gradient descent for parameter updates, and functions for prediction
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https://github.com/sarmadahmad8/digit-recognizer-91.4-accuracy
Digit Recognizer 91.4% accuracy
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https://github.com/brenofariasdasilva/scientific-research
My Scientific Research Code Repository.
ck code-metrics commons-lang jabref matplotlib numpy pandas pydriller python scientific-research scikit-learn similarity-measures statistical-analysis wem word2vec worked-example worked-example-miner
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https://github.com/redinfinitypro/laser-strategy
Rating: (8/10): Is an interactive graphical simulation using Pygame library, featuring laser and detector dynamics. It includes pathfinding, collision detection, and dynamic object interactions. The game allows dragging, checking for collisions, and updating object states.
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https://github.com/quinta0/pycolors
A python program to help people with color blindness recognize color in an image
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https://github.com/hanzopgp/neuralnetworkfromscratch
This is a multi-layer perceptron build from scratch using numpy and python.
artificial-intelligence deep-learning machine-learning multi-layer-perceptron numpy personal
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https://github.com/sjtechdev/fastgrouper
Fast groupby-apply operations in python.
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https://github.com/yc1909/ai_impact_on_jobs
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https://github.com/hanneskimara/ai-notebooks
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https://github.com/miroslav-reiter/kurz_ako_sa_stat_datovym_analytikom_python
🐍 Ako sa stať Dátovým ANALYTIKom v Pythone - Materiály, zdroje, skripty k večernému online školeniu Ako sa stať Dátovým Analytikom v Pythone pre Robime.it (Mentor Partners)
analysts analytics data-science math matplotlib numpy pandas python reiter scipy vizualisation
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https://github.com/nekruzash/machine-learning-decision-trees
This is from CS2023 - AI/DS/ML class, trained a machine learning model with heart disease data sets to predict a correlation using numpy and pandas.
jupyter-notebook numpy pandas python
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https://github.com/hpennington/mono-visual-odometry
Monocular Visual Odometry in NumPy
computer-vision numpy opencv python
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https://github.com/vidhi1290/ai-ml-cartoonifier
Welcome to Cartoonify, a fun and interactive project that converts real photos into cartoonified masterpieces! This project guides you through the entire process, from loading the image to displaying the final cartoon version.😛
bilateral-filter cartoonify-ai edge-detection matplotlib numpy opencv skimage tensorflow
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https://github.com/rhazra-003/indiebot
A basic chatbot which answers questions based on history of India
chatbot jupyter-notebook nlp nltk numpy python3 sckit-learn
Last synced: 20 Apr 2026
https://github.com/gauravtrivedi967/mask_detection
In the present scenario due to Covid-19, there is no efficient face mask detection applications which are now in high demand for transportation means, densely populated areas, residential districts, large-scale manufacturers and other enterprises to ensure safety. Also, the absence of large datasets of ‘with_mask’ images has made this task more cumbersome and challenging.
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https://github.com/rajharit77/weather-project
Repository for exam on the openweathermap api's project
apache-airflow dataframe jupyter-notebook looker-studio matplotlib numpy openweathermap-api pandas python
Last synced: 02 May 2026
https://github.com/rakibhhridoy/machinelearning-featureselection
Before training a model or feed a model, first priority is on data,not in model. The more data is preprocessed and engineered the more model will learn. Feature selectio one of the methods processing data before feeding the model. Various feature selection techniques is shown here.
extratreesclassifier feature-selection gridsearchcv lasso-regression logistic-regression machine-learning numpy pandas pca rfe rfecv scikit-learn selectkbest
Last synced: 02 May 2026
https://github.com/rudrakshi99/movie-recommendation-system
Movie recommendation system using machine learning and predict user ratings for the movies.
dataframes machine-learning matplotlib numpy pandas seaborn
Last synced: 07 May 2026
https://github.com/prashver/titanic-survival-prediction
This project tackles the Titanic challenge on Kaggle, predicting passenger survival based on variables like age, sex, and passenger class. The Jupyter notebook covers essential steps of a data science pipeline, including exploratory data analysis, data cleaning, feature engineering, and modeling. The dataset used is the Titanic dataset.
classification-algorithm machine-learning-algorithms matplotlib numpy pandas scikit-learn seaborn
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https://github.com/mrbrain295/prime-finder
pip install prime-finder-mammillaria for installation
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https://github.com/kelvinjuliusarmandoh/loan-approval-prediction
Implementing Machine Learning for predicting loan approval
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Last synced: 01 May 2026
https://github.com/vtramo/neural-networks-experiments-from-scratch
The objective of this repository is to provide a learning and experimentation environment to better understand the details and fundamental concepts of neural networks by building neural networks from scratch.
activation-functions backpropagation batch-learning classification-problem early-stopping gradient-based-algorithm improved-resilient-backpropagation irprop kfold-cross-validation minibatch momentum neural-network numpy online-learning python python3 resilient-backpropagation rprop softmax stochastic-gradient-descent
Last synced: 28 Apr 2026
https://github.com/rvats20/python-programming-basic
Python programing basic to develop robust python applications.
data-science eda learning learning-by-doing matplotlib-python numpy pandas python
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https://github.com/cchandre/quasiperiodic_frenkel-kontorova
Analyticity breakdown for Frenkel-Kontorova Models in quasiperiodic media
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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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machine-learning matplotlib numpy pandas python sckit-learn seborn
Last synced: 20 Apr 2026
https://github.com/madhuresh2011/telco-customer-churn-analysis-using-python
The analysis primarily investigates factors influencing customer churn, particularly focusing on payment methods and contract types.
csv data-analysis matplotlib numpy pandas pyhton seaborn vizualisation
Last synced: 02 May 2026
https://github.com/patilni3/python_data_analysis
Important Tools and its Functions
excel matplotlib numpy pandas seaborn
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https://github.com/princeofpuppers/qbot
A Domain-Specific Programming Language for Analyzing Quantum Algorithms
esoteric-language numpy probabilistic-programming quantum-computing quantum-programming-language
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https://github.com/singh-dhruv/traffic-light-detection-and-recognition
Welcome to this repository! Here we explored the topic of traffic lights detection and its recognition for helping the Autonomous Vehicles in their interpretation of traffic lights and decision making while driving.
autonomous-driving computer-vision matplotlib-pyplot numpy python r-cnn tensorflow
Last synced: 05 May 2026
https://github.com/abhishek010397/logisticregression
Using Logistic Regression Classifier to Predict Target Using Three Features
csv iloc logistic-regression machine-learning numpy pandas-dataframe python3 sigmoid-function sklearn
Last synced: 06 May 2026
https://github.com/winter000boy/my-project-portfolio
Welcome to My Project Portfolio! This repository is a comprehensive collection of my work in Java programming, Python development, Machine Learning (ML), Artificial Intelligence (AI), and Web Development. Organized for ease of access, this portfolio highlights innovative and practical projects tailored to solve real-world challenges.
ai artificial-intelligence artificial-neural-networks bootstrap data-science deep-learning flask-application java-projects machine-learning numpy pandas-python potfolio-site python-projects python3 spring-boot tkinter-gui web-development
Last synced: 05 May 2026
https://github.com/spandey1296/internship_banking_ml_project
Machine Learning (Training + Internship) by InternshipStdio
decision-tree-classifier machine-learning-algorithms matplotlib-pyplot naive-bayes-classifier numpy pandas-dataframe regression-algorithms seaborn-plots sklearn-library supervised-learning
Last synced: 28 Apr 2026
https://github.com/datarohit/car-evaluation--classification
This is a Kaggle Dataset where we classify the cars using their various features. Here I used plotly to visualize the Accuracy Scores. Also I used CrossValScore to get More accurate Accuracy Score.
classification-algorithm cross-validation-score machine-learning matplotlib-pyplot numpy pandas sklearn
Last synced: 28 Apr 2026
https://github.com/thevarunsharma/similar-word-finder
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flask-application machine-learning nlp numpy python word-embeddings
Last synced: 07 May 2026
https://github.com/khaymanii/house-price-prediction-model
This model was built using Python and XGBoost Regression algorithm
matplotlib numpy pandas python scikit-learn
Last synced: 06 May 2026
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
cifar10 classification cnn convolutional-neural-network expert-systems image-classification image-recognition keras-tensorflow numpy
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https://github.com/gehad-ahmed30/data-analysis
This repository offers a guide to data visualization with Pandas and includes practical examples and two complete projects. Learn to preprocess, analyze, and visualize datasets to solve real-world problems effectively.
analysis matplotlib numpy pandas python seaborn
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https://github.com/asut00/machine-learning-program_42ai
Comprehensive Machine Learning path by 42AI: hands-on modules on regression, gradient descent, and real-world ML applications.
linear-regression machine-learning matplotlib numpy pandas python scikit-learn
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https://github.com/pratishtha-abrol/principlecomponentanalysis
Principle Component Analysis with Numpy and Python
numpy principal-component-analysis python
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https://github.com/mirseo/pandas_learning
pandas_learning
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https://github.com/dhairyac/student-performance-analysis
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https://github.com/harshitwaldia/stock-price-prediction
An AI-driven stock market analysis dashboard that predicts next-day stock prices using a deep learning LSTM model. The project features: 🔮 AI Predictions for stock movements 🌍 Global market support (US, India, China, Japan, UK) 📊 Interactive React dashboard with charts & recent searches ⚡ Flask backend powered by Tensor/Keras & Yahoo Finance
dashboard flask flask-cors keras-tensorflow lstm-neural-networks machine-learning numpy react-typescript scikit-learn stock-price-prediction
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https://github.com/sumonta056/bangladeshi-vehicle-number-plate-detection
Image Processing Pipeline: Enhance, rotate, extract features, and segment characters in images for text recognition and enhancement.
candy-edge connected-components edge-detection grayscale-images morphological-analysis numpy opencv python radon-transform scikit-image sobel-edge-detector
Last synced: 07 May 2026
https://github.com/amir78729/numpy-system-solution-detector
Linear Algebra course - First Project
echelon-form linear-algebra matrix numpy
Last synced: 26 Apr 2026
https://github.com/salmandeveloperz/student-performance-prediction-and-grade-classification
A Machine Learning Project that predicts student grade and performance from a Dataset. Copule of Libraries are used for data pre-processing, training model, heatmaps, trees and other Algorithms.
ann classification machine-learning metplotlib numpy pandas regression-models skilearn supervised-learning tensorflow unsupervised-learning
Last synced: 20 Apr 2026
https://github.com/realtristan/micronet
Neural network library from scratch
neural-networks numpy python pytorch
Last synced: 03 May 2026
https://github.com/harizonelopez/face-detector
This project is a real-time face detection application using OpenCV's deep learning-based face detector. It captures faces from a webcam feed, detects faces with high accuracy using a pre-trained Caffe model, and saves the detected faces as image files labeled with the user's name.
Last synced: 03 May 2026
https://github.com/cr-mao/machine-learning
机器学习笔记
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Last synced: 12 Nov 2025
https://github.com/pacatro/lse2text
Deep learning program that translates Spanish Sign Language (LSE) to text in real time.
ai cnn computer-vision deep-learning lse matplotlib numpy pandas python pytorch pytorch-lightning scikit-learn torchmetrics translation
Last synced: 11 Apr 2026
https://github.com/priyanshgoantiya/ml-from-scratch-without-sklearn
This repository contains machine learning algorithms implemented from scratch using only NumPy—without relying on scikit-learn or other high-level ML libraries. The goal is to provide a deeper understanding of how fundamental machine learning models work under the hood by implementing them step by step.
Last synced: 15 May 2026
https://github.com/kartikeya443/handgesture_detection_opencv
A Computer Vision based model trained on data sets of over 300 inputs for a particular gesture is able to detect and identify human hands gestures effortlessly and is able to track the coordinates for further modifications in its usage for controlling devices like mouse and windows (control features are in development).
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https://github.com/bl0nder/regressify
A multi-task neural network coded from scratch that performs simultaneous regression and classification.
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Last synced: 15 May 2026
https://github.com/sehgalnaval/olympics-data-analysis
I will be building an Olympics Data Analysis Web Application using Streamlit. For development, I will be using Python and Pandas. For plotting, I will be using Seaborn and Plotly libraries. The project will also be deployed to Heroku.
heroku jupyter-notebook matplotlib numpy pandas pycharm python seaborn
Last synced: 11 Apr 2026
https://github.com/charmee123/krishak_vriddhi
https://krishak-vriddhi.onrender.com
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