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: 2026-02-09 00:17:55 UTC
- JSON Representation
https://github.com/yassin522/music-genre-classification
This repository is dedicated to the Music Genre Classification project, an endeavor that leverages machine learning techniques to accurately classify music into various genres
catboost matplotlib numpy pandas python sklearn
Last synced: 30 Dec 2025
https://github.com/amithjoseph777/gourmethaven-case-competition
Predictive analytics case competition project from the Master of Science in Business Analytics course at the College of Business, University of Louisville. Our team analyzed customer response trends for Gourmet Haven, developed a predictive model, and ranked in the Top 5 out of 25 teams.
google-colab jupyter-notebook numpy pandas r scikit-learn
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https://github.com/tachoknight/propanescale
Code to run pumpingstationone.org's propane scale
mqtt mqtt-broker numpy numpy-arrays python python3 serial serial-communication
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https://github.com/charanchellu/movie-recommend-system
content Based movie recommend system
machine-learning numpy pandas python sklearn
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https://github.com/dane-meister/machine-learning-algos
Repository of several ML algorithms implemented for different environments and robot control vectors.
colab-notebook gymnasium jupyter-notebook machine-learning-algorithms numpy opencv pybullet python pytorch
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https://github.com/nk-works/creditflow-ai
CreditFlow AI predicts loan defaulters using Artificial Neural Networks (ANNs). This model uses historical loan data to predict the likelihood of default for new loan applications.
ai artificial-neural-networks deep-learning jupyter-notebook machine-learning matplotlib numpy pandas python scikit-learn seaborn tensorflow
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https://github.com/adityakumarda/kmeans-web-analytics
Built with Python, Pandas, and Scikit-learn, this machine learning project uses K-Means to cluster website users by behavior. It reveals patterns in engagement and bounce, helping drive data-informed decisions.
cluster-analysis elbow-curves elbow-method elbow-plot jupyter-notebook kmeans-clustering machine-learning matplotlib numpy pandas python python3 relationship scikit-learn seaborn sklearn
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https://github.com/blackcub3s/msc-finalthesis
The most important programming files, code functions and data processing pipelines for the Machine learning final thesis of my Master's degree. Also, the LaTeX code of the thesis.
data-analysis latex machine-learning numpy python sklearn
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https://github.com/hokagem/damagedlogginganalyzer
A project about an analization of a statistic of damaged logging (wood) in Germany using Python.
analysis csv csv-parser k-fold-cross-validation numpy pandas pandas-dataframe pandas-python polynomial-regression scikit-learn statistics wood
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https://github.com/gehad-ahmed30/hand-gesture-volume-control
This repository features innovative projects using OpenCV, highlighting the power of computer vision. With detailed documentation and source code, developers can easily learn various techniques. Explore to enhance your understanding of image processing and object detection! 🚀
mediapipe numpy opencv pyautogui python
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Analysis of Covid-19 Infection rate and the world happiness report to identify if there is any relationship between infection rate and happiness
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Build a machine learning model that predicts the Envision Racing drivers’ lap times.
catboostregressor data-science exploratory-data-analysis feature-engineering gradio gradio-interface klib machine-learning numpy optuna pandas python seaborn sklearn
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https://github.com/sadegh-khedry/housing-prices-prediction-using-randomforest
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csv joblib jupyter-notebook matplotlib numpy pandas pil python random-forest seaborn sklearn
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https://github.com/jaewonson37/neural_networks_and_deep_learning1
adam-optimizer backward-propagation cost-functions forward-propagation gpt gredient-decent machine-translation momentum multihead-attention multilayer-perceptrons neural-network-training neural-style-transfer numpy rmsprop xor-logical-operator
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https://github.com/abhisek-13/whatsapp-chat-analyzer
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data-analysis data-mining data-visualization eda machine-learning machine-learning-algorithms matplotlib numpy pandas python seaborn sklearn
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Generate a response for the question from pre-defined text using LLM(Extracted Question-Answering(QA) Model).
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Quality control, data processing, data cleaning, data ploting
jupyter-notebook jupyterlab matplotlib numpy pandas seaborn
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Let's take the Housing dataset which contains information about different houses in Boston. This data was originally a part of UCI Machine Learning Repository and has been removed now. We can also access this data from the scikit-learn library. The objective is to predict the value of prices of the house using the given features.
deep-learning housing-market housing-prices machine-learning numpy pandas python real-estate regression scikit-learn
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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.
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css energy-systems-analysis html javascript matplotlib numpy python schemdraw streamlit
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https://github.com/artuk009/numericalprogramming
Notes and Code examples for Numerical Programming.
matplotlib numpy pandas python scipy sympy
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https://github.com/felixamaladhas/amazon-reviews-sentiment-analysis
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matplotlib numpy pandas python scikit-learn
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https://github.com/alansteinbarth/eksploracyjna-analiza-danych-o-pasazerach-statku-titanic
🔍 Titanic EDA: odkrywanie wzorców przeżywalności przez analizę danych. Profesjonalny projekt z wizualizacjami i insights
analytics csv data-analysis data-science data-visualization dataset eda exploratory-data-analysis jupyter-notebook kaggle machine-learning matplotlib numpy pandas portfolio python seaborn statistics titanic visualization
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List of Assignments I have performed as a part of Honorary Course of Data Science and Machine Learning Lab.
data-cleaning data-science jupyter-notebook jupyter-notebook-extension numpy numpy-arrays pandas pandas-dataframe pandas-python python
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https://github.com/piyushamukherjee/fuxi
– A Cascade Machine Learning Forecasting System for 15-Day Global Weather Prediction
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https://github.com/lucasgleria/seamese-network-algorithm
Soon
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https://github.com/yashpatel1234586/real-estate-price-predictor
A machine learning project for predicting real estate prices based on various property features. Uses Python, pandas, Scikit-learn, and visualization tools for data analysis and model training
jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn
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https://github.com/perpendicooler/computational_fluid_dynamics
Numerical Methods
2-dimensional-heat boundary-element-method computational-fluid-dynamics diffusion-models finite-difference-method finite-element-methods finite-volume-methods fluid-dynamics heat-equation heat-transfer jupyter-notebook matplotlib numerical-methods numpy odeint odeivp python rk4 scipy
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https://github.com/tapas-gope/telecommunication-customer-churn
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feature-engineering matplotlib-pyplot model-evaluation-and-validation numpy pandas python scikit-learn
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https://github.com/lasithaamarasinghe/youtube-comment-analysis
Sentimental Analysis of comments on YouTube videos. Classify comments as positive, negative, or neutral. Provide visualizations to display the distribution of the sentiments.
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https://github.com/rscr1/tvims_mai_3
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This project is designed to be a AIaaS 2-Way-PMS optimized with AI and ML models. The goal is to enhance the efficiency of the system through advanced technology solutions.
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https://github.com/hansalemaos/a_pandas_ex_df_to_string
Just a function to convert everything in Pandas DataFrames / Series to string
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https://github.com/asuquoaa/energy-_gdp-_and_scimago_rankings_analysis-2006-2015
Analysis of top 15 countries in energy, renewables, and GDP using three global datasets.
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https://github.com/nickklos10/league-of-legends-match-predictor
Predicting League of Legends Match Outcomes Using Logistic Regression and PyTorch.
jupyter-notebook matplotlib numpy pandas pytorch scikit-learn seaborn
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https://github.com/raduldev/ml-projects
End To End Machine Learning Project guided by Krish Naik from Ineuron.
catboost dill flask-application numpy pandas python scikit-learn xgboost
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Data Driven approach to get insights about PCOS
analysis eda insights matplotlib numpy pandas python3 scipy-stats seaborn visualisation
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https://github.com/prachpaveeny/pyspark-project
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azure azure-sql-database google-cloud-platform jupyter-notebook numpy pandas pyspark python
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This project analyzes coffee shop sales data to uncover key insights, focusing on customer behavior, product performance, and sales trends. Using Pandas, Matplotlib, and Seaborn, the analysis identifies peak sales hours, popular product categories, and opportunities for upselling or bundling.
datasceince datavisualization exploratory-data-analysis matplotlib numpy pandas python seaborn
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https://github.com/mdarshad1000/ml-libraries
Code for the scientific and visualization libraries in Python for Machine Learning.
matplotlib numpy pandas seaborn
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https://github.com/rajesh9943/web-scraping-analysis-of-top-us-company-revenue-growth-in-2023
Explore the landscape of US business growth in 2023 with our dynamic project, 'Web Scraping for US 2023 Revenue Growth.' Utilizing advanced web scraping techniques, we unveil insights into the top companies driving economic expansion.
cleaning-data data data-analysis data-visualization manipulation numpy pandas pre-fill
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https://github.com/armahdavi/mlops
Productionizing ML Models using a variety of tools including FastAPI, Flask, Doocker, AWS, GCP, TensorFlow Extended (TFX), and TF.js.
apache-beam docker fastapi logistic-regression mlops mlops-workflow numpy random-forest sklearn tensorflow-extended unicorn xgboost
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https://github.com/jpgiant/nyc_energy_prediction
A comprehensive code for predicting energy usage in NYC using Machine Learning Algorithms.
data-analysis data-science data-visualization folium jupyter-notebook machine-learning matplotlib numpy pandas python seaborn sklearn
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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
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✨DataSpark✨ is a powerful analytics project transforming raw retail data into actionable insights for Global Electronics. By leveraging Python, SQL, and interactive visualizations, it uncovers trends in customer behavior, sales performance, and product popularity, driving smarter business decisions and boosting growth.
data-science data-visualization database-management datacleaning exploratory-data-analysis matplotlib numpy pandas powerbi python seaborn sql version-control
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https://github.com/jillmpla/pythonxmldatabase
A Python & XML database application for a book collection.
database matplotlib numpy pandas pandas-dataframe python xml
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https://github.com/rafinha0rafinha/web-analyzer-backend
(Legacy) This is the backend for Mazaoro SARLU's lead magnet "Web Analyzer". This project analyzes websites using Google Lighthouse and returns a detailed report consumed by the frontend.
azure-app-service azure-devops chartjs cicd data-analysis data-science data-visualization express flask hacktoberfest lighthouse numpy sentiment-analysis vader-sentiment-analyzer
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https://github.com/RedInfinityPro/RedditBot
Rating: (7/10) This script collects, preprocesses, trains models, processes images, and handles files, handling data from Reddit, image processing, and file handling.
autocorrect bytesio concurrent nltk numpy openpyxl pandas pil praw random re requests secrets sklearn string tensorflow time urllib
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https://github.com/elissorokin/data-analyst-portfolio
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ab-testing data data-analysis datalense matplotlib numpy pandas plotly portfolio postgresql python scipy seaborn sql statistical-analysis
Last synced: 30 Dec 2025
https://github.com/jain1shh/solar-flare-prediction
This repository contains code and data for predicting solar flare energy ranges using machine learning, based on NASA's RHESSI mission data. It includes preprocessing of FITS files into a unified CSV dataset and implements models like Gradient Boosting, Random Forest, and Decision Tree classifiers, achieving accuracies up to 87%.
data-visualization machine-learning numpy pandas python scikit-learn solar-flare-prediction
Last synced: 30 Dec 2025
https://github.com/mr-chang95/datascience_airbnb
Data Science Project for Udacity's Data Scientist Program. Using Python in Jupyter Notebook.
airbnb data-analysis data-science data-visualization jupyter-notebook numpy pandas python sklearn
Last synced: 30 Dec 2025
https://github.com/anand-sony/machine_learning
Machine Learning codes and concepts, including algorithms like K-means, PCA, and Linear Regression, with Python libraries (NumPy, Pandas, Matplotlib).
artificial-neural-networks kmeans-clustering knn linear-regression machine-learning matplotlib normalization numpy pandas pca python
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https://github.com/jonathanp-code/stock-prediction-with-lstm-using-yfinance
This repository contains two machine learning models that predict future prices for Gold and Apple (AAPL) stocks using LSTM neural networks. The models fetch historical price data from Yahoo Finance, preprocess the data, and also generate predictions with buy/sell recommendations.
keras keras-neural-networks keras-tensorflow lstm lstm-neural-networks mashine-learning numpy python stock-market stock-price-prediction stocks tensorflow yfinance
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data-analysis numpy numpy-arrays numpy-exercises python3
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https://github.com/yash-rewalia/airbnb_eda_pandas
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data data-cleaning data-insights data-preprocessing data-visualization matplotlib numpy pandas python seaborn
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https://github.com/raduldev/ibm_capstone_final_project
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https://github.com/iv4n-ga6l/human-motion-capture
Realtime Human Motion Tracking and Analysis
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audio-processing numpy pyqt5 scipy signal-processing wiener-filter
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https://github.com/shreeparab1890/chat-analyzer
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deep-learning github hamlet lstm lstm-neural-network lstm-neural-networks machine-learning neural-network nltk numpy pandas pickle python
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https://github.com/AsuquoAA/Big_4_Sports_Teams_and_City_Population_Analysis-2018-
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data-cleaning-and-preprocessing numpy pandas
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https://github.com/AsuquoAA/Energy-_GDP-_and_Scimago_Rankings_Analysis-2006-2015
Analysis of top 15 countries in energy, renewables, and GDP using three global datasets.
Last synced: 21 Jul 2025
https://github.com/coder5omkar/LendingClubCaseStudy
Performed exploratory data analysis (EDA) on the loan dataset from the Lending Club Case Study to identify the key factors influencing loan defaults.
bivariate-analysis data-science exploratory-data-analysis matplotlib numpy pandas seaborn univariate-analysis
Last synced: 21 Jul 2025
https://github.com/alexsolov28/ml_nir
Научно-исследовательская работа на тему «Прогнозирование цен на жилье»
jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 20 Jan 2026
https://github.com/vaishnavis03/finlatics_ml_program
This repository contains the .ipynb files for 3 datasets, along with a PPT for each. The datasets included are Facebook Marketplace Data, Sales Prediction Data, and Wine Quality data.
correlation data-analysis data-science data-visualization knn linear-regression machine-learning matplotlib numpy pandas random-forest-classifier scikit-learn
Last synced: 17 Mar 2025
https://github.com/jonad/boston_housing_price
Predicting Boston Housing Prices.
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https://github.com/kganitis/bam-engine
Implementation of the BAM macroeconomic agent-based model in Python using ECS architecture.
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https://github.com/mr-chang95/twitter_datawrangling
Twitter Data Wrangling for Udacity's Data Analyst Nanodegree Program
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https://github.com/mohammedsaqibms/deep-neural-network-for-image-classificaton-application
This repository implements a deep neural network to classify images as cats or non-cats. Using Python and libraries like NumPy and Matplotlib, it showcases practical applications of deep learning concepts from the DeepLearning.AI Deep Learning Specialization.
cat-recognition deep-learning image-classification machine-learning matplotlib neural-networks numpy python3
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https://github.com/abolfazl-younesi/levy-walk
This repository contains a Python implementation of the Lévy Walk simulation, a random walk model with a power-law step length distribution. The code simulates multiple walkers with boundary conditions and visualizes their trajectories for different values of the power-law exponent.
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https://github.com/devllm/exemple-de-quantization
Démo de quantization de modèle
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https://github.com/shahaba83/airplane-ticket-cancellation
In this project, we try to predict the possibility of canceling the plane ticket by the buyer
datatime numpy pandas python scikit-learn seaborn
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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
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https://github.com/singhvishal003/email-spam-detector-model
Email Spam Detector model to detect spam messages.
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https://github.com/furk4nbulut/uygulamalarla-makine-ogrenmesi-ve-derin-ogrenme-atolyesi
Bu repository, Manisa'da gerçekleştirilen BTK Akademi Uygulamalı Makine Öğrenmesi ve Derin Öğrenme Atölyesi'ne ait eğitim sürecini kapsamaktadır. Atölyede katılımcılar, ileri düzey makine öğrenmesi ve derin öğrenme teknikleriyle ilgili teorik ve pratik bilgiler edinmektedir.
matplotlib numpy pandas scikit-learn seaborn
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https://github.com/ndomah1/learning-python
This repo is a comprehensive learning path for Python that covers everything from getting started and basic syntax to advanced topics like data analysis, automation, and introductory machine learning.
anaconda data-analysis jupyter-notebook machine-learning matplotlib numpy pandas plotly python scikit-learn scipy seaborn vscode
Last synced: 21 Mar 2025
https://github.com/ola-kaznowska/my-portfolio-python
my Python3 application portfolio for the position of Junior Python Developer
ai artificial-intelligence artificial-neural-networks back-end cv2 english flask freelancer gui-application junior-backend junior-developer math numpy numpy-library polish practice-project python python3 tensorflow tkinter
Last synced: 18 Mar 2025
https://github.com/dharma-acha/resnet18_imageclassification_cnn
In this part of the project, we implement ResNet-18 from scratch using PyTorch and train it on an image dataset to achieve over 75% accuracy. We apply techniques to prevent overfitting and optimize performance, aiming for an accuracy of 80% or higher.
matplotlib numpy python3 pytorch scikit-learn seaborn
Last synced: 30 Dec 2025
https://github.com/abhishek10351/ai-ml
Exploring basics of AI-ML
ai jupyter-notebook machine-learning matplotlib ml numpy pandas python
Last synced: 30 Dec 2025