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An open API service indexing awesome lists of open source software.

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.

https://github.com/poornesh-v/bank-customer-churn-prediction-system

The repository is meant to predict customer churn in a banking dataset based on transaction history and demographics.

jupyter-notebook matplotlib numpy pandas-python python seaborn

Last synced: 11 Apr 2026

https://github.com/techassi/hfu-imgcomp

Image processing and computer graphics SOSE 22

computer-vision image-processing numpy opencv python

Last synced: 11 Apr 2026

https://github.com/palak-463/tablataalrecognitionsystem

Software built using Python which makes use of CNN and FNN to detect the Taals of the Tabla, an Indian classical music instrument. 🎛️

cnn deep-learning flask fnn librosa numpy os pickle python scikit-learn

Last synced: 11 Apr 2026

https://github.com/vidhi1290/zomato-data-analysis

Zomato Data Analysis - Explore the world of Zomato restaurant data through Python and data analysis. Uncover trends and insights using Pandas for data manipulation and Matplotlib for visualization. Join us in this journey to reveal the hidden stories within the data!

data-analysis data-analysis-python data-science data-visualization dataprocessing machine-learning machine-learning-algorithms matplotlib numpy pandas python scikit-learn zomato-data-analysis

Last synced: 11 Apr 2026

https://github.com/michael-insights/portfolio

This repository showcases my projects and skills in Data Analytics, Data Science, and Machine Learning. It includes hands-on work in data analysis, predictive modeling, and machine learning algorithms, aimed at solving real-world problems.

data-analytics data-science data-visualization datapreprocessing jupyter-notebooks machine-learning matplotlib numpy pandas predictive-modeling python scikit-learn sql

Last synced: 11 Apr 2026

https://github.com/bogdang888g/shad_homework_2024-2025

Репозиторий с домашними работами из курса "Школы Аналитиков Данных" от МТС

matplotlib numpy pandas python scipy seaborn

Last synced: 11 Apr 2026

https://github.com/adityashinde716/liam-the-healthcare-chatbot

Made a healthcare chatbot Liam which will help you to detect your health problem and gives precautions.

csv numpy pandas python python3 random random-forest random-forest-classifier requests sklearn sklearn-library sklearn-model

Last synced: 05 May 2026

https://github.com/djleamen/music-mood-matcher-demo

An intelligent music recommendation system that analyzes your mood through natural language and suggests personalized playlists using advanced AI and machine learning techniques.

demo machine-learning matplotlib ml natural-language-processing nlp nltk nltk-python numpy openai pandas python scikit-learn seaborn

Last synced: 11 Apr 2026

https://github.com/kaleharshavardhan07/spam_mail-_detector_ai_model

This project implements a spam detection system for SMS messages using machine learning techniques.

mathplotlib nltk numpy panda python scikit-learn seaborn

Last synced: 11 Apr 2026

https://github.com/zazi2002/neuroscience-project-lfp-signalanalysis

This project is part of the Neuroscience of Learning, Memory, Cognition course. The goal of this assignment is to introduce students to Local Field Potential (LFP) signals, which are critical for understanding brain activity at a local neuronal level.

jupiter-notebook lfp-analysis matplotlib numpy signal-processing

Last synced: 01 May 2026

https://github.com/zazi2002/neuroscience-project-olfactory-signal

This project is part of the Neuroscience of Learning, Memory, Cognition course. The main objective is to analyze Local Field Potential (LFP) signals recorded from three different brain regions of an anesthetized rat while it performed an olfactory task.

frequency-analysis lfp-analysis matplotlib numpy scipy signal-processing

Last synced: 30 Apr 2026

https://github.com/mathpfreitas/top-hits-spotify-2000-to-2019-

# 🎧 Top Hits Spotify (2000 - 2019)Explore music trends from 2000 to 2019 with this dataset of songs, artists, and genres. Use the insights to understand what makes a hit in today's music landscape. 🐙💻

analysis analytics chart data-analysis data-visualization exploratory-data-analysis hits interactivedashboards jupyter-notebook matplotlib music musical numpy pandas plotly python timeseries track-hits

Last synced: 01 Jul 2025

https://github.com/nishkarsh25/end_to_end_real_estate_price_prediction_project

This data science project series walks through step by step process of how to build a real estate price prediction website. We will first build a model using sklearn and linear regression using banglore home prices dataset from kaggle.com. Second step would be to write a python flask server that uses the saved model to serve http requests....

css html javascript jupyter-notebook matplotlib numpy pandas python python-flask-server sklearn

Last synced: 07 Apr 2026

https://github.com/aarryasutar/linear_multivariate_regression_on_football_statistics

Linear regression models are used to predict football player attacking stats based on attributes like finishing and passing, with the model trained, evaluated, and applied for predictions. Multiple features improve accuracy, and performance is assessed using metrics like MSE and R-squared.

datasets feature-selection football-stats linear-reg machine-learning mae mse multivariate-regression numpy pandas rmse scatter-plot train-test-split

Last synced: 14 Apr 2026

https://github.com/aarryasutar/hate_speech_detection

This project aims to detect hate speech on Twitter using advanced NLP and machine learning techniques, exploring feature extraction methods like TF-IDF and sentiment analysis, and evaluating models such as Logistic Regression and SVM.

confusion-matrix doc2vec gensim logistic-regression matplotlib naive-bayes nltk numpy pandas python random-forest scikit-learn seaborn stemming stopwords-removal svm tf-idf-vectorizer tokenization vader word-cloud

Last synced: 09 Apr 2026

https://github.com/camilajaviera91/apache-beam-pipeline-first-approach

This code demonstrates how to integrate Apache Beam with scikit-learn datasets and perform simple data transformations. It loads the Linnerud dataset from scikit-learn, converts it into a Pandas DataFrame for easier manipulation.

apache-beam dataframes glob kmeans-clustering matplotlib-pyplot mean-absolute-error mean-square-error numpy os pandas pipelines scipy-stats seaborn silhouette-score sklearn sklearn-datasets standardscaler

Last synced: 28 Apr 2026

https://github.com/shanmukhsrisaivedullapalli/cifar10

This project uses TensorFlow to classify images from the CIFAR-10 dataset. It compares the performance of an Artificial Neural Network (ANN) and a Convolutional Neural Network (CNN), covering data preprocessing, model training, evaluation, and prediction on new images.

cifar10-classification cnn-classification matplotlib neural-networks numpy pickle pillow python3 tensorflow

Last synced: 03 Feb 2026

https://github.com/virajbhutada/google-stock-price-forecasting-lstm

Analyzing and predicting Google's stock prices through detailed data exploration and advanced LSTM models. This project involves data preprocessing, creating time-series sequences, constructing and training LSTM networks, and evaluating their performance to forecast future stock prices utilizing Python and Machine Learning libraries.

data-analysis data-science data-visualization future-prediction google-dataset google-stock-price-prediction google-stocks lstm-model lstm-neural-network machine-learning machine-learning-models matplotlib model-building model-training numpy python stock-forecasting

Last synced: 27 Feb 2025

https://github.com/rixiiz/knn-model-to-predict-the-obp-of-mlb-players

A machine learning model I built that can predict the On Base Percentage (OBP) of Major League Baseball (MLB) players at the end of the season

artificial-intelligence dataset f1-score jupyter-notebook knn-regression machine-learning matplotlib mse numpy pandas python scikit-learn supervised-learning

Last synced: 01 Jul 2025

https://github.com/ashar97/financial-engineering

Financial Engineering Practicum Assignments

financial-engineering matlab numpy pandas python r yahoo-finance

Last synced: 11 Apr 2026

https://github.com/3rd-son/knn-breast-cancer-prediction-model-

A breast cancer prediction model using KNN with an accuracy of 96%

jupyter-notebook knn-classifier matplotlib numpy pandas python scikit-learn scipy search

Last synced: 11 Apr 2026

https://github.com/achuth-0908/hemoguard-anemia-predictor

A Web App incorporated with a Gradient Boosting Classifier Model, to predict Anemia with given data.

css flask html matplotlib numpy pandas python scikit-learn

Last synced: 11 Apr 2026

https://github.com/nemeslaszlo/financial-crisis-effects-on-some-stocks

Focusing on bank stocks to see how they progressed throughout the 2008-09 financial crisis all the way to early 2016.

cufflinks jupyter-notebook matplotlib numpy pandas pandas-datareader plotly seaborn

Last synced: 03 May 2026

https://github.com/gauravsakure02/pubg_win_prediction

Predicting PUBG game wins using a dataset involves analyzing various in-game features such as player kills, distance traveled, and weapons acquired to build a model that forecasts the likelihood of winning a match based on player performance, helping in winning game

matplotlib numpy pandas sklearn

Last synced: 29 Apr 2026

https://github.com/ladityagogoi/shadowguard

The ShadowGuard Browser Extension is a powerful tool designed to enhance user experience by identifying and highlighting potential dark patterns on websites. Our extension employs a combination of machine learning algorithms and natural language processing (NLP) models to detect and classify various deceptive design practices

css flask html javascript joblib numpy pandas python scikit-learn

Last synced: 11 Apr 2026

https://github.com/prakashjha1/stock-trend-prediction

Deep learning for predicting stock market prices and trends has become even more popular than before. I have used yahoo finance to collect the data and LSTM to build the stock trend model.

deep-learning keras lstm lstm-neural-networks machine-learning numpy pandas pandas-datareader prediction python rnn tensorflow

Last synced: 11 Apr 2026

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/kanishk1420/renewabled-data-helper

An AI-powered assistant designed to help analysts, developers, and investors efficiently analyze and extract critical insights from renewable energy project documents. Built using Python, Google Gemini, FAISS, and Streamlit

gemini-api langchain mongodb numpy python streamlit

Last synced: 11 Apr 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).

deep-learning mediapipe numpy opencv tensorflow

Last synced: 11 Apr 2026

https://github.com/bogdang888g/jojo_stands

Анализ параметров стендов из ДжоДжо

numpy pandas plotly python scipy

Last synced: 11 Apr 2026

https://github.com/bhattbhavesh91/tf-numpy-example

Faster NumPy using Tensorflow's tf.experimental.numpy module

keras numpy tensorflow

Last synced: 01 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/m-faizan-mahmood/detailed-exploratory-data-analysis-eda-marketing-recomendations.

This project focuses on cleaning, preprocessing, and analyzing data using Pandas and NumPy. Key steps include handling missing values, removing outliers, feature engineering, and exploratory data analysis (EDA). Visualizations with Matplotlib and Seaborn highlight trends in customer spending, campaign performance, and product sales.

big-data data-analysis data-processing data-science eda exploratory-data-analysis numpy pandas python

Last synced: 11 Apr 2026

https://github.com/christophercrouzet/nani

Alternative approach to defining and viewing NumPy's arrays.

dtype nani numpy view wrap

Last synced: 14 Apr 2026

https://github.com/tom-mohr/clevertable

Consistent, intelligent transformation of text-based tabular data into numerical data.

conversion data-science numpy pandas python

Last synced: 06 May 2026

https://github.com/matx64/rs-netbot

Old School Runescape bot with CNN for object identification

cuda numpy python pytorch

Last synced: 04 May 2026

https://github.com/mahnoorsheikh16/Credit-Card-Default-Prediction

This project focuses on predicting whether a customer will default on their credit card payment in the upcoming month. Utilizing historical transaction data and customer demographics, the project employs various machine learning algorithms to distinguish between risky and non-risky customers for better credit risk management.

chi-square-test encoding hiplot imblearn json knn-imputer matplotlib numpy pandas pca-analysis pillow plotly robust-scalar scipy seaborn sklearn smote streamlit ttest visualization

Last synced: 01 Mar 2025

https://github.com/imswappy/brain-tumor-detection

🧠 Deep learning project for brain tumor classification using MRI images. Built with transfer learning (VGG16 + fine-tuning), TensorFlow/Keras, and deployed via Streamlit. Dataset & model loaded dynamically from KaggleHub. Includes training notebook, evaluation, and interactive web app.

kagglehub keras numpy pandas scikit-learn streamlit tensorflow vgg16-model

Last synced: 13 Apr 2026

https://github.com/Krisseck/hki-traffic-predict

Keras neural network to predict traffic in Helsinki

avoindata helsinki keras numpy open-data python traffic

Last synced: 13 Jul 2025

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

Last synced: 01 Mar 2025

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

Last synced: 13 Apr 2026

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

Last synced: 13 Apr 2026

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.

computer-vision numpy opencv pillow-library

Last synced: 11 Apr 2026

https://github.com/mansurpro/digitrecognizer

DigitRecognizer is a simple, handcrafted neural network implemented with NumPy to classify handwritten digits from the MNIST dataset. This project demonstrates the foundational principles of neural networks, including forward propagation, backpropagation, and gradient descent, all built from scratch without relying on deep learning frameworks.

backpropagation custom-dataset data-visualization deep-learning from-scratch gradient-descent handwritten-digit-recognition machine-learning minimal-dependencies mnist neural-network numpy python

Last synced: 16 May 2026

https://github.com/martincastroalvarez/python-deep-learning-algorithms

Combinatorics implemented with numpy, matplotlib and scipy.

algebra combinatorics matplotlib numpy python scipy

Last synced: 13 Apr 2026

https://github.com/neerajcodes888/diwali-sales-analysis

An open-source repository for sales data analysis. Dive into insightful trends, metrics, and visualizations to empower data-driven decision-making. Ideal for data analysts, business professionals, and enthusiasts seeking comprehensive sales insights. Clone, customize, and contribute to enhance your sales analytics journey.

data-science-projects data-visualization numpy pandas-dataframe python3 sales-analysis seaborn-plots

Last synced: 26 Mar 2025

https://github.com/camilajaviera91/clustering-first-approach

This code will help to understand, in a simple way, how the clustering model works. To achieve this, we will input certain variables (strings and integers), then plot them to visualize and analyze how the values are positioned.

array cluster clustering dictionaries matplotlib numpy pandas python

Last synced: 13 Apr 2026

https://github.com/imswappy/ads-eda-predictor

Interactive Streamlit app for marketing campaign analytics and prediction. Includes dashboards, EDA, econometrics tests (ADF, cointegration, OLS diagnostics), ML pipelines with preprocessing, CV, and persistence. Predict outcomes with Linear/Ridge/Lasso/Random Forest regressors.

adf breusch-pagan cointegration lasso-regression linear-regression matplotlib-pyplot numpy pandas random-forest ridge-regression seaborn sklearn

Last synced: 02 May 2026

https://github.com/varun-khorgade/churnshield-customer-retention-predictor

Built an ML-based classification model to predict customer churn. Applied data preprocessing, feature engineering, and ensemble algorithms to improve prediction accuracy and help businesses implement retention strategies.

classification-algorithm datapreprocessing f1-score feature-engineering hyperparameter-tuning logistic-regression matplotlib model-evaluation numpy pandas python ran roc-auc scikit-learn seaborn xgboost

Last synced: 07 May 2026

https://github.com/datarohit/date-fruit-classification

This is Date Fruit Data taken from Kaggle. This data severs a classification problem to solved. Using various features of the fruit classify the fruit to its type.

classification logisticregression numpy pandas python3 standard-scaler

Last synced: 13 Apr 2026

https://github.com/abhijeet107/electric-vehicle-sales-by-state-in-india

This project analyzes EV sales data across Indian states, focusing on sales distribution by vehicle type, category, and region.

matplotlib numpy pandas powerbi python seborn

Last synced: 04 May 2026

https://github.com/mardavsj/numpy-in-python

The fundamentals of Python NumPy Library.

analysis-tool data-manipulation numpy numpy-arrays numpy-matrix python

Last synced: 14 Apr 2026

https://github.com/arjunan-k/netflix_analysis

Exploratory Data Analysis on Netflix Movies & TV Shows.

matplotlib numpy pandas plotly seaborn

Last synced: 09 May 2026

https://github.com/abhinavsharma07/neural-network-using_numpy

Introduction to Neural Networks (Create a neural network using Numpy)

accuracy feed-forward model neural-networks numpy prediction

Last synced: 18 Jan 2026

https://github.com/carlthome/ipytoolbox

A collection of IPython magics and other utilities

ipython jupyter matplotlib numpy

Last synced: 18 Jan 2026

https://github.com/harmanveer-2546/diabetes-prediction-using-machine-learning

Diabetes is a medical disorder that affects how the body uses food for energy. When blood sugar levels rise, the pancreas releases insulin. If diabetes is not managed, blood sugar levels can rise, increasing the risk of heart attack and stroke. We used Python machine learning to forecast diabetes.

adaboost decision-trees gradient-boosting-classifier gridsearchcv knn-classification machine-learning numpy os pandas pickle python random-forest seaborn svc-model

Last synced: 14 Apr 2026

https://github.com/lexxai/goit_python_ds_hw_08

Модуль 8. Глибоке навчання. Tensorflow.

classification data-science matplotlib minst numpy pandas python sklearn tensorflow

Last synced: 14 Apr 2026

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

Last synced: 02 May 2026

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

Last synced: 14 Apr 2026

https://github.com/dimatura/imgutils

Miscellaneous Numpy and PIL utilities for images.

image numpy pil pillow python

Last synced: 19 Jan 2026

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/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/hokagem/byakuganvisualizer

The ByakuganVisualizer repository hosts a Python tool designed to compare images and highlight their differences. It simplifies the process of identifying disparities between images, making it ideal for tasks like testing and quality assurance. Moreover, it offers a color filter that can be used to correct images for color-blind users.

color-blind color-correction colorblind image-manipulation numpy pillow

Last synced: 21 Jan 2026

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.

classification cnn data-science deep-learning gan keras matplotlib neural-network-architectures neural-networks numpy pandas preprocessing python regression-models regularization seaborn tensorflow time-series-analysis

Last synced: 14 Apr 2026

https://github.com/rixiiz/using-knn-to-predict-the-obp-of-mlb-players

Using KNN to predict the On Base Percentage (OBP) of Major League Baseball (MLB) players at the end of the season

artificial-intelligence dataset f1-score jupyter-notebook knn-regression machine-learning matplotlib mse numpy pandas python scikit-learn supervised-learning

Last synced: 05 Apr 2026

https://github.com/ashishpatel8736/soq-solver-cramer

This project is a System of Equations Solver built using Cramer's Rule in Python with Streamlit. It allows users to input and solve systems of linear equations in real-time by visualizing them as matrices and generating solutions for variables 𝑥 , 𝑦 , 𝑧, etc.

numpy python streamlit

Last synced: 14 Apr 2026

https://github.com/the-developer-306/house-price-predictor

House Price Predictor: Harnessing machine learning algorithms to forecast housing prices in Boston, empowering buyers and sellers with accurate predictions based on key factors like location, crime rate, rooms, accessibility, and more.

csv ipynb-jupyter-notebook joblib matplotlib numpy pandas python scikit-learn

Last synced: 23 Feb 2026

https://github.com/harmonicode/image-mixer

A PyQt5-based application for real-time image processing and reconstruction using frequency components like magnitude, phase, real, and imaginary parts. Adjust brightness and contrast, and mix images with ease.

fourier-transform image-processing numpy opencv pyqt5 python signal-processing

Last synced: 13 Mar 2026

https://github.com/geson-anko/numpy_ndarray_msgs

A ROS2 package for transmitting NumPy ndarrays between ROS2 nodes.

messaging numpy python ros2

Last synced: 23 Feb 2026

https://github.com/l-johnston/microohm

SI unit system in Numpy as native dtype

numpy python units

Last synced: 24 Feb 2026

https://github.com/kavithma-thushal/machine-learning-room-gdse66

Welcome to the Machine Learning Room GDSE66 project! This resource is dedicated to exploring machine learning concepts, where we build and experiment with various models to solve real-world problems.

docker flask jinja2 jupyter-notebook numpy pandas python

Last synced: 14 Apr 2026

https://github.com/nissanjk/linear-solver

A Python desktop application to solve systems of linear equations using various numerical methods.

anaconda3 fpdf imageio matplotlib numpy python3 tkinter

Last synced: 16 May 2026

https://github.com/kamakshi4023/brain-tumour-detection

ML based project which uses various techniques to build a hybrid model for identifying brain tumour in MRI images

jupyter-notebook keras machine-learning ml numpy python seaborn sklearn sklearn-metrics tensorflow

Last synced: 03 Jan 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: 24 Oct 2025

https://github.com/mikediessner/benchfuncs

Benchmark functions to test optimisation algorithms.

benchmark-functions numpy optimization test-functions

Last synced: 17 May 2026

https://github.com/ola-kaznowska/ai-digit-recognition

AI digit recognition. Artificial neural network for digit recognition

ai artificial-intelligence machine-learning neural-network numpy tensorflow

Last synced: 14 Apr 2026

https://github.com/socaity/media-toolkit

Web-ready standardized file processing and serialization. Read, write, convert and send files. Including image, audio, video and any other file. Easily convert between numpy, base64, bytes and more.

base64 bytesio fast-task-api httpx image-processing json numpy serialization video

Last synced: 27 Oct 2025

https://github.com/kunalrrathod/placement-predictor

A web application that is using machine learning technology to deliver results ensuring the students are getting placed in campus placements

bootstrap4 flask-application jquery knearest-neighbor-algorithm machine-learning numpy pandas-dataframe python3 sklearn

Last synced: 15 Apr 2026

https://github.com/abhishekyana/zframework

Z Framework for Easy Deep Learning

deep-learning machine-learning numpy python tensorflow

Last synced: 24 Jan 2026

https://github.com/cedricstrolz/digitalisierung-statistik-ws24

Hier handelt es sich NICHT um Lösungen sondern Lernunterlagen

matplotlib numpy pandas python statistics

Last synced: 25 Feb 2026

https://github.com/nirmalyabag20/crop-yield-prediction-using-machine-learning

This project uses machine learning to predict crop yields based on factors like region, crop type, rainfall, temperature, and pesticide use. By analyzing a dataset of over 28,000 records, the models provide accurate yield forecasts, helping optimize farming decisions and resource management, ultimately contributing to sustainable agriculture.

jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn

Last synced: 06 Feb 2026

https://github.com/simranjeet97/quotes-analysis

Kaggle Dataset on Quotes Analysis and Visualization With Python, Pandas and MatplotLib Using Jupyter Notebook.

data data-science datavisualization jupyter-notebook kaggle kaggle-dataset machine-learning matplotlib-pyplot numpy pandas python quotes quotes-application

Last synced: 15 Apr 2026

https://github.com/nemeslaszlo/heart-disease

Heart disease classification project with different models (LogisticRegression, KNeighboursClassifier, RandomForestClassifier) and detailed reports.

classification knearest-neighbor-classifier logistic-regression mathplotlib numpy pandas randomforest-classification scikit-learn seaborn

Last synced: 15 Apr 2026

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