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/surayasumona/ford_used_car_analysis
Explanatory Data Analysis with Python
data-science data-visualization matplotlib numpy pandas python seaborn
Last synced: 09 Apr 2026
https://github.com/chirindaopensource/high_dimensional_matrix_variate_diffusion_index_models
End-to-end Python implementation of Ma et al.'s (2025) matrix-variate diffusion index models for macroeconomic forecasting. Features Ξ±-PCA factor extraction, supervised screening, and ILS estimation for high-dimensional forecasting with preserved structural information.
diffusion-index dimension-reduction econometrics factor-models financial-modeling high-dimensional-statistics macroeconomic-forecasting matrix-factorization monte-carlo-simulation numpy principal-component-analysis python quantitative-finance research-replication scientific-computing statistical-computing statistical-modeling supervised-learning time-series-analysis time-series-forecasting
Last synced: 29 Apr 2026
https://github.com/jupfu/beck-view-digitalize
Digitalize 16mm films with Python & reactivex & FT232H
cython ft232h libpng multiprocessing numpy opencv python3 reactivex um232h
Last synced: 09 May 2026
https://github.com/yibrahimmoos/snn
shallow neural network imp.
neural-network numpy python-3-6
Last synced: 29 Apr 2026
https://github.com/al-ghaly/e-commerce-a-b-testing
A Statistical Analysis project in which I Performed an A/B test to analyze the effect of changing the user interface for an E-Commerce company's Website.
data-analysis matplotlib numpy pandas python python-data-analysis seaborn statistical-analysis statistics
Last synced: 29 Apr 2026
https://github.com/matheusvazdata/retail-sales-forecast-linreg-sklearn
Minimal project for retail sales forecasting using linear regression (scikit-learn).
forecasting linear-regression machine-learning matplotlib numpy pandas scikit-learn
Last synced: 29 Apr 2026
https://github.com/armahdavi/ai_ml_assisted_breast_cancer_tumor_detection
Consolidating tutorial codes for breast cancer tumor detection, covering ML fundamentals like classification, feature engineering, training, evaluation, and key performance metrics.
bias-variance feature-engineering logistic-regression machine-learning machine-learning-algorithms medical-application numpy pandas python random-forest recall-precision sklearn xgboost-classifier
Last synced: 29 Apr 2026
https://github.com/ksharma67/k-means-algorithm-on-the-iris-dataset
Applied the K-Means algorithm on the Iris dataset, and utilized the Silhouette Score method to find the best value of K
eda elbow-method iris-dataset kmeans-clustering matplotlib numpy pandas python seaborn silhouette-score
Last synced: 29 Apr 2026
https://github.com/prithviraj-2003/cognifyz-data-science-internship
π Data Science Internship at Cognifyz Technologies π Duration: 2 Months π§ Worked on real-world restaurant data ποΈ Completed structured tasks across 3 levels π Tasks focused on EDA, data preprocessing, visualization, and analysis π Task descriptions provided in an attached PDF
data-analysis data-science data-visualization matplotlib numpy pandas python3
Last synced: 29 Apr 2026
https://github.com/adalbertobrant/fundamentalista
Analise de Graham e de Greenblatt para escolha de aΓ§Γ΅es baratas e com bom potencial de crescimento ao longo prazo
graham greenblatt matplotlib numpy pandas python3 streamlit
Last synced: 29 Apr 2026
https://github.com/dmarks84/ind_project_readme-generator
Independent (personal) project in which I automatically generate README files for each of my repositories from my coursework
dataframes etl numpy pandas programming python
Last synced: 29 Apr 2026
https://github.com/mattmoony/ann_mnist
Simple self-written ANN powered by NumPy to classify handwritten digits of the famous MNIST Dataset. βοΈ
adam ann deep-learning learning-algorithm machine-learning ml mnist mnist-handwritten-digits momentum neural-net neural-network normalization numpy regularization relu sigmoid tanh
Last synced: 09 Apr 2026
https://github.com/alfastrek/textinsight-pro
Webscraper with Natural Language Processing
beautifulsoup jupyter-notebook nltk numpy pandas python webscraping
Last synced: 29 Apr 2026
https://github.com/atchayaah/vois_aicte_oct2025_atchayaa
Comprehensive data science analysis leveraging NYC Airbnb market data to derive actionable insights on optimal pricing models, key performance indicators (KPIs), and factors influencing host trust and guest experience optimization.
jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 29 Apr 2026
https://github.com/chandadiya2004/movie-recommendation-system
A Movie Recommendation System built using TfidfVectorizer and cosine similarity. The model processes a large dataset of movies and recommends similar movies based on a given input movie by analyzing textual features and calculating similarity scores.
cosine-similarity numpy pandas python sklearn tfidf-vectorizer
Last synced: 29 Apr 2026
https://github.com/monddavila/online-retail-data-analysis
Online Retail Exploratory Data Analysis with Python
data-analysis jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 29 Apr 2026
https://github.com/abideen-olawuwo/sign-language-lambda
A model deployed to AWS Lambda
aws aws-lambda keras lambda numpy requests serverless
Last synced: 29 Apr 2026
https://github.com/harmanveer-2546/bird-species-prediction-using-deep-learning
Using convolutional neural networks to build and train a bird species classifier on bird pics data with corresponding species labels, also build GUI for the same.
3d-graph callback deep-learning eda gui gui-application image-generator imageclassification keras-tensorflow matplotlib maxpooling mobilenetv2 numpy opencv pillow plotly python seaborn transfer-learning visualization
Last synced: 29 Apr 2026
https://github.com/snehasunilnair/image-processing-projects
Image pre-processing techniques using OpenCV.
Last synced: 29 Apr 2026
https://github.com/mohamed15058/cognifyz-data-science-internship-restaurant_data_analysis_and_prediction-
Restaurant_Data_Analysis_and_Prediction
fature-engineering machine-learning matplotlib numpy pandas sklearn
Last synced: 29 Apr 2026
https://gitlab.com/DLR-SY/beos
Beos is a legacy Fortran tool used to calculate the static and dynamic buckling behavior of flat/curved fiber composite structures.
Last synced: 16 Aug 2025
https://github.com/shwetapardhi/assignment-04-simple-linear-regression-1
Q1) Delivery_time -> Predict delivery time using sorting time. Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization, Feature Engineering, Correlation Analysis, Model Building, Model Testing and Model Predictions using simple linear regressi
correlation-analysis data-visualization distplot eda feature-engineering model-building model-prediction model-testing numpy ols-regression p-value pandas python regression-plot rsquare-values seaborn simple-linear-regression smf statsmodel t-score
Last synced: 30 Apr 2026
https://github.com/ola-kaznowska/sigmanoid-function
Sigmanoid function. Written in Python 3.13.1 with matplotlib library and numpy
mathmatics matplotlib numpy python python3
Last synced: 30 Apr 2026
https://github.com/victor-gp/tfg-h16b
The code for my bachelor's thesis, a numerical exploration of the second part of Hilbert's 16th problem
bachelor-thesis dynamical-systems matplotlib-pyplot numpy odeint
Last synced: 30 Apr 2026
https://github.com/samiksha29-patil/hr-employee-data-analysis-visualization-in-python
This project focuses on analyzing an HR Employee Dataset that contains details about employees such as demographics, job status, salaries, performance reviews, satisfaction levels, and attrition reasons.
csv-files data data-visualization dataanalysis matplotlib numpy pandas python seaborn
Last synced: 30 Apr 2026
https://github.com/sjain2580/simple-linear-regression-model
This project demonstrates a simple, yet robust, multiple linear regression model built with Python and scikit-learn to predict median house values in California.
joblib linear-regression matplotlib matplotlib-pyplot numpy python scikit-learn
Last synced: 30 Apr 2026
https://github.com/omarsaad21/it-salary-eda
A python EDA project implemented on IT department salaries data we made data exploration and made data visulization for some questions on dataset
data explotary-data-analysis juypter-notebook numpy pandas python visualization
Last synced: 30 Apr 2026
https://github.com/nikhilsree5/walmartcasestudy
Analysis of Customer Spending Habits at Walmart Inc
clt eda numpy pandas python3 statistics visualization
Last synced: 30 Apr 2026
https://github.com/vishal-verma-96/honey_production_analysis_using_python
In this project, I analyzed U.S. honey production from 1998 to 2021 across different U.S. cities, explored yields, and examined production values using Matplotlib and Seaborn visualizations.
matplotlib numpy pandas python-3 python-visualization seaborn
Last synced: 30 Apr 2026
https://github.com/pramodyasahan/grade-predictor
This project aims to predict student performance based on various features such as job, study time, failures, absences, and first and second period grades. The project utilizes a linear regression model from the scikit-learn library in Python.
machine-learning matplotlib numpy pandas python regression scikit-learn
Last synced: 30 Apr 2026
https://github.com/tinaland101/credit-risk-classification
The purpose of this project is to build a credit risk classification model using machine learning techniques. This model helps identify the creditworthiness of borrowers based on historical lending data. Specifically, it uses a logistic regression model to predict whether a loan is healthy (0) or high-risk (1).
numpy pandas pathlib scikit-learn
Last synced: 30 Apr 2026
https://github.com/tsar123/coffee-quality-analysis
machine learning using RandomForestRegressor and dataset with coffee data
coffee ml numpy pandas randomforestregressor regressor-models sklearn
Last synced: 30 Apr 2026
https://github.com/amruta33/melanoma-detection
To build a CNN based model which can accurately detect melanoma. Melanoma is a type of cancer that can be deadly if not detected early. It accounts for 75% of skin cancer deaths. A solution that can evaluate images and alert dermatologists about the presence of melanoma has the potential to reduce a lot of manual effort needed in diagnosis.
keras machine-learning numpy pandas python3 sckiit-learn tensorflow
Last synced: 09 Apr 2026
https://github.com/mayankfreelancer/advanced-sales-analytics-dashboard-power-bi-
This interactive Power BI dashboard provides a comprehensive analysis of sales data across regions, categories, and time periods. The project aims to uncover key trends in total sales, profit, quantity sold, and product performance, using advanced visualizations and forecasting techniques. π Tools & Techniques Used: Power BI
dashboard data-science data-visualization excel numpy pandas powerbi python sales-analysis sql
Last synced: 30 Apr 2026
https://github.com/franciscomartinez45/social-network-analysis
Applied to analyze how misinformation propagates within communities. With the goal of addressing health disparities and improving health literacy particularly in minority populations, the project explores both supervised and unsupervised learning approaches to understand patterns in graph-structured data using a custom Graph Attention Network
matplotlib ml networkx numpy pytorch
Last synced: 09 May 2026
https://github.com/professornova/ann-scratch
This repository implements a simple Artificial Neural Network (ANN) from scratch using only NumPy.
artificial-intelligence neural-network numpy scratch
Last synced: 30 Apr 2026
https://github.com/ayushshrivstava/es654_prereqtest
Prerequisite test for the Machine Learning course ES654
jax matplotlib numpy pandas sympy
Last synced: 30 Apr 2026
https://github.com/favalos/myway-to-nn
Project to store my understanding of Neural Networks.
jupiter-notebook neural-network numpy
Last synced: 30 Apr 2026
https://github.com/poltanek/crane-random-search
Skeleton code for a simulation of a problem similar to the Crane problem however, implementing using random search algorithm expending random nodes
numpy python python3 random-search-algorithm
Last synced: 01 May 2026
https://github.com/mukeshthenraj/video-engagement-prediction
ML project to predict video engagement using Random Forest & XGBoost
gridsearchcv matplotlib numpy pandas random-forest-classifier roc-auc-curve scikit-learn video-analytics xgboost
Last synced: 30 Apr 2026
https://github.com/dharma-acha/explanability_in_deepneuralnetworks
Our project aims to enhance the transparency and trustworthiness of the VGG model in critical fields like healthcare imaging and self-driving cars. By integrating explainability methods into the VGG model for image classification, we will clarify its decision-making process.
colab-notebook matplotlib numpy pandas scikit-learn seaborn
Last synced: 30 Apr 2026
https://github.com/kmkurn/text2array
Python library to convert text dataset into arrays.
deep-learning natural-language-processing neural-networks numpy
Last synced: 14 May 2026
https://github.com/kernel-loophole/data-analysis-with-pandas
pandas
data-science dataset numpy pandas python
Last synced: 30 Apr 2026
https://github.com/mattkevan/data-science
Notes from learning various data science topics.
data-science matplotlib numpy python3
Last synced: 09 May 2026
https://github.com/lmizner/codecademy_biodiversity
Using knowledge of data analysis to interpret data about endangered animals for the National Park Service
barplot jupyter-notebook matplotlib-pyplot numpy pandas python seaborn
Last synced: 30 Apr 2026
https://github.com/mogankumar/bird-flock-simulation-with-pyspark
A PySpark-based bird flock simulation modeling alignment, cohesion, and separation forces with a leader guiding the flock. Efficiently handles large-scale simulations and generates a visualized GIF of the flockβs movement.
argparse matplotlib numpy pyspark python3
Last synced: 01 May 2026
https://github.com/koki0702/chainer0
A Small Chainer (Chainer From Zero)
chainer deep-learning neural-networks numpy python
Last synced: 01 May 2026
https://github.com/abdullahashfaqvirk/SMS-Spam-Detection
A machine learning application designed to classify SMS messages as spam or non-spam, offering real-time analysis to identify potentially harmful content.
css3 docker flask html5 javascript matplotlib nltk numpy pandas python scikit-learn seaborn tailwindcss xgboost
Last synced: 16 Aug 2025
https://github.com/rosemol-jose/noisy-sparse-phase-retrieval-using-thresholded-wirtinger-flow-algorithm
Implementing and evaluating the TWF algorithm against real datasets
mathematics numpy python scipy signal-processing spyder
Last synced: 09 May 2026
https://github.com/omogbolahan94/nobel-prize-winner-analysis
Data exploration, cleaning, visualization and presentation
markdown matplotlib numpy pandas plotly seaborn
Last synced: 09 May 2026
https://github.com/ismaelvr1999/bioinspiredalgorithms
This repository contains implementations of various bioinspired algorithms for optimization and machine learning.
machine-learning matplotlib numpy python tensorflow
Last synced: 01 May 2026
https://github.com/shibbir24/amazon-product-sales-data-analysis-trends-and-insights
Amazon Product Sales Data Analysis: Trends and Insights
amazon-dataset data-analysis matplotlib numpy pandas seaborn
Last synced: 01 May 2026
https://github.com/mohhasan1/machine-learning
This repository is where I learn and store information about various machine learning libraries, such as Pandas, scikit-learn, and others. It serves as a personal reference for exploring and experimenting with different ML tools and techniques.
machine-learning matplotlib numpy pandas seaborn sklearn
Last synced: 01 May 2026
https://github.com/avinashkr-ai/data-science-using-python-jupyter-notebook
Data Science Using Python Jupyter Notebook
data-science jupyter jupyter-notebook numpy pandas python
Last synced: 01 May 2026
https://github.com/maroshmka/np-mlp-clf
Raw implementation of mlp classifier in python using numpy.
classification example-code learning machine-learning multilayer-perceptron neural-network numpy
Last synced: 14 May 2026
https://github.com/muhkartal/xai_dashboard
an interactive AI dashboard for machine learning model analysis and explainability, supports model training, dataset exploration, feature importance analysis, and SHAP-based explanations for both individual predictions and overall model behavior, compare multiple models, visualize insights, and export results seamlessly
joblib numpy pandas python sckit-learn shap streamlit xgboost
Last synced: 04 May 2026
https://github.com/sujitmandal/big-mart-sales
Big Mart Sales Prediction..
data-science numpy pandas prediction python statistics supervised-learning
Last synced: 01 May 2026
https://github.com/paulo-santos-ds/analise_dados_musicais
Dashboard para compreender as preferΓͺncias musicais dos ouvintes, tendΓͺncias regionais e o impacto de artistas especΓficos.
Last synced: 01 May 2026
https://github.com/dostuffthatmatters/jax-capability-analysis
demo repository containing the experiments for my master's seminar @ TUM
autograd click deep-learning huggingface jax jit-compilation mnist numpy python pytorch
Last synced: 01 May 2026
https://github.com/dhruvv1402/spam-detection-python-
This project is a Spam Detection System built using Python. It classifies SMS messages as spam or ham (not spam) using machine learning techniques.
countvectorizer kaggle-dataset nlp-machine-learning nltk numpy pandas python scikit-learn supervised-machine-learning tf-idf
Last synced: 01 May 2026
https://github.com/abideen-olawuwo/pyspark-prediction
pyspark prediction
linear-regression numpy pandas pyspark
Last synced: 01 May 2026
https://github.com/muhammadadilnaeem/bcg-data-science-job-simulation-on-forage-august-2024
This repository contains all the tasks, code, and documentation completed during the BCG Data Science job simulation on The Forage platform. The simulation focused on analyzing customer churn, building predictive models, and presenting insights for a major utility company.
bcg customer-churn-prediction-with-machine-learning data data-science forage numpy pandas
Last synced: 01 May 2026
https://github.com/laszlokorte/canny-notebook
Numpy Canny Edge detector implementation to visualize each step
canny-edge-detection image-processing jupyter-notebook numpy
Last synced: 02 May 2026
https://github.com/dpb44/exploring-the-intuition-of-neural-networks-on-a-classification-problem-using-only-numpy
Implementing a softmax-based neural network from scratch using NumPy to classify the Iris dataset, leveraging vectorization, gradient descent, and decision boundary visualization.
deep-learning neural-network numpy softmax-classifier
Last synced: 02 May 2026
https://github.com/ducha-aiki/laf2ell
Utils for LAF to ellipse and back conversion. Also function for drawing LAFs.
ellipse laf local-features numpy visualization
Last synced: 02 May 2026
https://github.com/ishaj72/analysis_model2
Dataset analysis model using matplotlib and other libraries
machine-learning matplotlib numpy pandas
Last synced: 09 May 2026
https://github.com/voidkeishi/computational-science
This repository contains implementations of algorithms from the course "Computational Science" at HUST
computational-science numpy python
Last synced: 02 May 2026
https://github.com/lipskiyp/trading_dashboard
Pandas framework to analyze financial time-series and calculate various performance metrics (e.g. Sharpe Ratio and Max Drawdown Duration).
financial-analysis numpy pandas
Last synced: 02 May 2026
https://github.com/amr-yasser226/pagerank-power-method
Modular Python implementation of the PageRank algorithm via the power method, with discreteβmath foundations, endβtoβend code, and experimental validation.
discrete-mathematics graph-algorithms markov-chain network-analysis networks numpy pagerank power-method python scipy
Last synced: 09 May 2026
https://github.com/lexxai/goit_python_ds_hw_03
ΠΠΎΠ΄ΡΠ»Ρ 3. ΠΠ»Π°ΡΠΈΡΠ½Π΅ ΠΌΠ°ΡΠΈΠ½Π½Π΅ Π½Π°Π²ΡΠ°Π½Π½Ρ. ΠΠ΅ΡΠ΅Π½Π°Π²ΡΠ°Π½Π½Ρ. ΠΡΠ½ΡΠΉΠ½Π° ΡΠ΅Π³ΡΠ΅ΡΡΡ. LaTeX ΡΠΎΡΠΌΡΠ»ΠΈ.
latex linear-regression matplotlib numpy pandas python scikit-learn
Last synced: 09 Apr 2026
https://github.com/krook1024-uni-archive/kmeans
kmeans implementation for a university course
kmeans kmeans-clustering machine-learning numpy python
Last synced: 02 May 2026
https://github.com/sanchariii/health-assist-1
Health Assist web app uses the Streamlit framework to help users identify potential diseases. Simply input your symptoms, and the system will predict whether you have diabetes, heart disease, or Parkinson's disease. The system is designed to be quick and convenient, promoting early detection and timely medical intervention.
numpy pandas pickle streamlit-webapp svm-model
Last synced: 13 Aug 2025
https://github.com/hariprasath-v/solafune_aerosol_optical_depth_estimation
Estimate AOD using Sentinel-2 data, leveraging its spectral bands and spatial resolution to improve accuracy.
catboost efficientnet exploratory-data-analysis huggingface jupyter-notebook matplotlib numpy pandas pearson-correlation python remote-sensing seaborn solafune timm transformer
Last synced: 02 May 2026
https://github.com/shaikats/python-assignment
Simulation and Modeling Lab assignments using Python, NumPy, Matplotlib, and Jupyter Notebook.
jupyter-notebook matplotlib numpy python simulation-modeling
Last synced: 09 May 2026
https://github.com/ksharma67/intel-stock-predication-wiith-eda
We are trying to design a model that can predict the price of stock using different methods and algorithms.
eda linear-regression machine-learning-algorithms matplotlib numpy pandas prediction python scaler seaborn skit-learn
Last synced: 02 May 2026
https://github.com/nahiyanhkhan/data-processing-and-visualization
Loan Data Processing using Python's numpy and pandas libraries. For data visualization, matplotlib and seaborn are used.
data-analysis-python data-visualization matplotlib numpy pandas seaborn
Last synced: 09 May 2026
https://github.com/pnguyen215/pycelize
Pycelize is a Flask application designed for processing Excel and CSV files. It provides RESTful APIs for common data operations including extraction, normalization, mapping, SQL generation, and file binding.
excel lib numpy openpyxl pandas py-app pycelize python-service python3
Last synced: 17 Jun 2026
https://github.com/mairagalvao/final_grades
An analysis of the final grades of students using Python
matplotlib numpy pandas python3
Last synced: 09 May 2026
https://github.com/danishzulfiqar/predictive-maintenance-model-training
Model Training and Deployment Scripts for Predictive Maintenance.
h5 jupyter-notebook keras-tensorflow mongodb mongosse numpy nural-network pandas pickle shap tensorflow
Last synced: 09 Apr 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/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/chethannazre/railway-track-obstacle-detection-system
RAILWAY TRACK OBSTACLE DETECTION AND AUTOMATION (RAILTECH AUTOMATION)
automation cv2-library internship numpy ppt project python report
Last synced: 03 May 2026
https://github.com/fandredev/ml-my-guide
my own annotations about ML/DS using pandas, matplotlib, numpy, scikit learn
anaconda matplotlib numpy pandas plotly scikit-learn seaborn
Last synced: 03 May 2026
https://github.com/abdullah2020/hamoye_stageb
This is my Hamoye Stage B project. The project focuses on Predicting Energy Efficiency of Buildings. It implemented different Machine Learning algorithm technique that are not limited to Linear Regression, LASSO, Ridge etc.
eda lasso-regression linear-regression numpy pandas predictive-modeling regression-models ridge-regression rmse rsquare-values
Last synced: 09 May 2026
https://github.com/shoaib1522/credit-card-fraud-analysis
"A comprehensive project on Credit Card Fraud Detection combining Exploratory Data Analysis, Machine Learning, and an interactive Streamlit web app for real-world applicability."
eda epochs mlp-classifier neural-network numpy pandas-python perceptron-learning-algorithm python regression sckiit-learn seaborn streamlit streamlit-webapp tensorflow
Last synced: 09 Apr 2026
https://github.com/algoscienceacademy/imageprocessingpython
Image processing python code
matplotlib numpy pathlib pil python scipy seaborne
Last synced: 03 May 2026
https://github.com/ebrahimar/ai-voice-cloner-xtts-v2
A Streamlit web app for AI-powered voice cloning using Coqui XTTS v2. Record or upload reference voices, clone speech in multiple languages, and generate natural audio outputs.
ai-voice coqui-tts deep-learning json multilingual-tts numpy pydub python speech-synthesis streamlit text-to-speech tts-model voice-cloning xtts-v2
Last synced: 03 May 2026
https://github.com/crispengari/numpy
π The core concept of numpy arrays
ai artificial-intelligence datascience jupyter-notebook machine-learning numpy python
Last synced: 03 May 2026
https://github.com/katerynazakharova/machine-learning
Example of a ML algorithm.
gradient-boosting-classifier gridsearchcv machine-learning ml numpy pandas python3
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
Last synced: 03 May 2026
https://github.com/pramodyasahan/binary-classifier
This repository houses the code for a machine learning model designed to predict customer churn. The model is built using Support Vector Machine (SVM) from the scikit-learn library and incorporates preprocessing, pipeline, and grid search techniques for optimal performance.
Last synced: 03 May 2026
https://github.com/jonad/finding_donors
Predicting income with UCI Census Income Dataset using supervised machine learning algorithms
numpy pandas scikit-learn scikitlearn-machine-learning
Last synced: 03 May 2026
https://github.com/veranyagaka/python
Everything Python
matplotlib mysql numpy oop-in-python pandasql python
Last synced: 03 May 2026
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.
artificial-intelligence data-analysis data-cleaning data-gathering machine-learning machinel-learning-algorithms matplotlib numpy pandas python seaborn
Last synced: 03 May 2026
https://github.com/sreelekhakummetha/diabetes-prediction
"Flask web app for diabetes prediction using ML"
css dataset flask html joblib machine-learning numpy pandas scikitlearn-machine-learning
Last synced: 03 May 2026