NumPy | Ecosyste.ms: Awesome

https://github.com/tzepart/choosing-oil-region

Choosing and initialisation a machine learning model that will help determine the region where production will bring the greatest profit with the least risk of loss.

matplotlib ml numpy pandas seaborn sklearn

Last synced: 16 Apr 2026

https://github.com/rahulsm20/storedata

A data analysis project aimed at analyzing the sales data of the super store and providing useful insight into customer preferences.

data-analysis matplotlib numpy pandas python streamlit

Last synced: 16 Apr 2026

https://github.com/haimgoldfisher/data_sience_intro_final_project

Final project of the Data Sience Intro course, Ariel university.

bayes classification decision-trees diamond kaggle knn-classification linear-regression logistic-regression numpy pandas regression scikitlearn-machine-learning sklearn wine

Last synced: 16 Apr 2026

https://github.com/fearless-spider/spideroptic-cli

Spider Optic CLI is a command line application.

cement cli cli-app command-line makefile numpy oanda pypi python

Last synced: 01 May 2026

https://github.com/arserchung/ml_cnn

Basis CNN intro& project of recognize to cat or dog

glob keras keras-models numpy opencv os sklearn tensorflow

Last synced: 13 Feb 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/dpgitaccount/project---hospital-readmission-analysis

The goal of this project is to build a predictive model to estimate the likelihood of a hospital readmission based on patient data. By identifying factors that contribute to readmissions, hospitals can optimize care and reduce costs associated with repeated visits.

boxplot confusion-matrix datamodeling exploratory-data-analysis heatmap histplot numpy pandas plotly python random-forest seaborn smote-sampling visualization

Last synced: 16 Apr 2026

https://github.com/anujdutt9/language-model-using-rnn

Text Generation using basic RNN from scratch using Python and Numpy.

language-model numpy python rnn text-generation

Last synced: 08 May 2026

https://github.com/harmonicode/signal_equalizer

Signal Equalizer is a Python-based application designed to process and analyze various types of signal data, including audio and ECG signals. It provides functionalities for reading, processing, visualizing, and enhancing signal data using techniques such as Wiener filtering.

audio-processing numpy pyqt5 scipy signal-processing wiener-filter

Last synced: 13 Feb 2026

https://github.com/dahsie/machine_learning_from_scratch

This project aims to implement some machine learning basic techniques(e.g. MinMaxScaler, StandardScaler, TD-IDF, PCA, Logistic Regression, LDA, KNN, Naive Bayes Classifier) using only pyton, numpy and pandas. This will enable me to have hone my data scientist skills

classification clustering data data-processing datascience machienlearning nlp nltk numpy pandas python regression

Last synced: 04 May 2026

https://github.com/maia-bastos/estimativas

Projeto de Probabilidades, Amostragem e Estimações com dados reais (IBGE).

numpy pandas python3 scipy-stats

Last synced: 16 Apr 2026

https://github.com/separatrixxx/nm_labs_6_7_sem

👓 Laboratory work for 6 and 7 semesters of MAI on numerical methods

numerical-methods numpy python

Last synced: 16 Apr 2026

https://github.com/lexxai/goit_python_ds_hw_09

Модуль 9. Підбір гіперпараметрів НМ. Глибоке навчання. Tensorflow. Keras.

adam-optimizer data-science google-colab keras keras-tensorflow numpy python

Last synced: 16 Apr 2026

https://github.com/islamshahil/neuralnetworks

Hello World to Neural Network.

deeplearning neural-network numpy python

Last synced: 16 Apr 2026

https://github.com/rakesh3596/tutedude_projects

It consist of 3 major project 1:Covid19 Analysis 2:Rainfall Prediction 3:Tumor Detection

csv-files matplotlib numpy pandas plotly python sklearn-library

Last synced: 16 Apr 2026

https://github.com/vgvr0/analisis-de-datos-con-streamlit-numpy-pandas-y-matplotlib

Sistema completo de análisis y visualización de datos cinematográficos que proporciona insights detallados sobre películas, incluyendo análisis financiero, puntuaciones, tendencias temporales y un sistema de recomendación. Desarrollado con Python y Streamlit, ofrece una interfaz interactiva y amigable para explorar datos de películas.

matplotlib numpy pandas plotly plotly-dash recommendation-system streamlit

Last synced: 16 Apr 2026

https://github.com/annygutierrez/bank-ann

Basic Artificial Neural Network

keras matplotlib numpy pandas sklearn

Last synced: 13 Apr 2026

https://github.com/officio-indrajeet/implementation-of-the-component-wise-peak-finding-algorithm

code-optimization density-based-clustering faiss matplotlib numpy pandas python3 scikit-learn scipy seaborn

Last synced: 14 Feb 2026

https://github.com/andreashovaldt/simple-neural-network

A simple neural network, created with numpy, based on Stochastic Gradient Descent, used for classifying the MNIST dataset

mnist-classification neural-network numpy stochastic-gradient-descent

Last synced: 16 Apr 2026

https://github.com/codersales/machine-learning-project

Machine Learning Project

code data-science filtered-4 jupyter last-quarter machine-learning not-this-month numpy over-100-commits pandas pseudo-current python repository-6 scikit-learn sub-critical supervised supervised-learning

Last synced: 02 Mar 2026

https://github.com/codersales/machine-learning-classification

authorized classification current decision-tree ensemble-techniques jupyter machine-learning more-than-100-commits more-than-300-commits numpy pandas python3 ranked repository-5 seaborn sklearn stacking sub-critical supervised-learning workstation

Last synced: 07 Mar 2026

https://github.com/limix/ndarray-listener

Implementation of the Observer pattern for NumPy arrays.

numpy observer-pattern

Last synced: 14 Feb 2026

https://github.com/danibcorr/streamlit-sales-suite

data-analysis data-science data-scraping data-visualization deep-learning insights keras machine-learning mlflow mlops numpy pandas plotly python sales sales-analysis streamlit streamlit-dashboard tensorflow

Last synced: 14 Feb 2026

https://github.com/aarush-narang/scribble-script

aws docker ec2 eslint flask mantine nextjs numpy python react supabase tailwind typescript vercel

Last synced: 14 Feb 2026

https://github.com/kavayk29/speech-recognition-using-tdnn-and-data-augmentation

Developed a speech recognition system using TDNN, preprocessing audio, extracting MFCC features, and training the model. Fine-tuning with augmented data (19,000 rows) improved accuracy from 9% to 80% training and 40% validation. Data augmentation proved crucial for enhancing model performance and generalization. Still working to increase the acc.

deep-learning keras-tensorflow numpy os pandas tdnn tensorflow

Last synced: 14 Feb 2026

https://github.com/michaelzheng67/real_estate_ml

AI experiment developed to run against simulated real estate and investing environment

ai numpy python pytorch

Last synced: 09 May 2026

https://github.com/mattia-hulathduwage/wine-quality-analyzer

A machine learning project that analyzes wine quality using clustering, regression, and classification techniques. The model predicts wine quality scores based on chemical properties and determines the most influential features affecting quality.

machine-learning matplotlib numpy pandas python scikit-learn seaborn

Last synced: 16 Apr 2026

https://github.com/saurabh274/netflix-eda

Analyze the data and generate insights that could help Netflix in deciding which type of shows/movies to produce and how they can grow the business in different countries.

matplotlib numpy pandas python seaborn

Last synced: 28 Feb 2026

https://github.com/huzaifa12466/neuralnetscratch

A simple neural network implemented from scratch in Python using NumPy, trained on the Moons dataset

artificial-intelligence artificial-neural-networks backpropagation deep-learning forwardpropagation machine-learning matplotlib neural-network neural-networks numpy

Last synced: 23 Jun 2026

https://github.com/raduldev/datasciencepython

Interview Task From CSIR-IGIB, Delhi & maps for journal

biopython colab-notebook counter jupyter-notebook matplotlib numpy pandas

Last synced: 09 May 2026

https://github.com/killervardhan8/gesturedecode

The Sign Language Interpretation project focuses on recognizing and interpreting hand gestures to facilitate communication for individuals who use sign language. This project leverages computer vision and machine learning techniques to accurately identify and translate hand signs into text

csv mediapipe numpy python tensorflow

Last synced: 28 Feb 2026

https://github.com/mchenryspagg/economic-variable-correlation-and-productivity-model

This report provides an in-depth analysis of Nigeria's economic performance over the past decade, spanning from 2014 to 2024.

correlation exchangerates inflation moneysupply numpy productivity python regression regression-analysis regression-models visualization

Last synced: 15 Feb 2026

https://github.com/awaisfraaz/python-libraries

Here’s a repository description for a project where youA repository dedicated to exploring and experimenting with Python’s main libraries, featuring sample code, documentation, and practical examples for learning and reference.

matplotlib numpy pandas python seaborn

Last synced: 15 Feb 2026

https://github.com/debjyotisaha/data-analytics-projects-phase-1

A set of projects on Data Analysis using Python and its libraries

matplotlib numpy pandas python seaborn sklearn streamlit

Last synced: 13 Apr 2026

https://github.com/ben854719/trade-transfer-workflow-optimizer

This AI portfolio tools securely analyzes asset allocation, sector exposure, and performance. Its graph compares real and predicted close prices, enhanced with sentiment indicators such as “Confident” and “Surprised.” An avatar assistant provides user guidance combining technical accuracy with intuitive explanations.

agentic-ai avatar cryptography emotion-analysis encryption gemini json langgraph langraph machine-learning-algorithms matplotlib mcp-server numpy opencv-python pandas python pytorch rs256 seaborn

Last synced: 15 Feb 2026

https://github.com/joiceo/python

Projetos e exercícios em Python

eda machine-learning numpy pandas python seaborn sklearn

Last synced: 13 Apr 2026

https://github.com/shwetapardhi/assignment-2-set1-q1-basic-statistic-level-2

Plot the data, find the outliers and find out μ,σ,σ^2

boxplot matplotlib-pyplot mean numpy pandas pie-chart python seaborn standard-deviation variense

Last synced: 16 Apr 2026

https://github.com/nagar2nd/ml-regressionmodel---cardekho-price-prediction

This repository features a machine learning model for predicting used car prices using data from CarDekho.com. The project leverages exploratory data analysis and regression techniques to empower sellers and buyers with actionable insights in the Indian used car market.

analytics cleaning-data data linear-regression machine-learning matplotlib numpy pandas python seaborn

Last synced: 16 Apr 2026

https://github.com/justin-marian/numpy-mlp

MLP from-scratch implementation only with NumPy, it supports regression and classification tasks.

classification lasso mlp numpy r2-score regression ridge

Last synced: 16 Feb 2026

https://github.com/evan-dg31/data-science

Exploratory Data Analysis (EDA), Predictive Modeling (Supervised and Unsupervised), Regression, Classification, Clustering

classification clustering data-analysis data-science data-visualization machine-learning matplotlib numpy pandas python regression-analysis seaborn

Last synced: 13 Apr 2026

https://github.com/pinedah/sleep-data-analysis-exercise

Análisis de un dataset médico sobre el sueño, explorando duración, calidad y factores relacionados. Incluye limpieza de datos, EDA y visualizaciones con Python (pandas, numpy, matplotlib, seaborn, scipy).

data-analysis data-science escom numpy pandas python school-project scipy

Last synced: 13 Apr 2026

https://github.com/type0-1/salary-truth-predictor

A supervised machine learning regression model. Includes problem statement, approach to solution, code, images, dataset, and Jupyter Notebook for interactive analysis.

linear-regression machine-learning matplotlib-pyplot ml numpy pandas polynomial-regression projects scikitlearn-machine-learning support-vector-regression

Last synced: 16 Apr 2026

https://github.com/tomaslopera/truncamiento

matplotlib modeling-and-simulation numpy scipy seaborn

Last synced: 16 Apr 2026

https://github.com/jessicahora/studies-on-linear-algebra

Repositorio com Estudos sobre Algebra Linear.

linalg linear-algebra matplotlib-pyplot matrix numpy python scipy

Last synced: 01 Mar 2026

https://github.com/hafidaso/predicting-industrial-machine-downtime-level-3

This project aims to develop a predictive model using machine learning techniques to forecast machine failures based on historical operational data.

imbalanced-learning numpy pandas python scikit-learn seaborn xgboost

Last synced: 16 Apr 2026

https://github.com/anker661/autograd-playground

A simple Numpy & Python based auto differentiation system that supports visualization before and after back-propagation.

auto-differentiation autograd computaion-graph jupyter-notebook numpy python3

Last synced: 09 May 2026

https://github.com/tansudasli/tensorflow-sandbox

all about machine learning

apache-arrow keras machine-learning numpy pandas scikit-learn tensorflow2

Last synced: 16 Apr 2026

https://github.com/sasanka14/water_quality_predictions

Water Quality Prediction - College Project 🌊💧 Predicts water potability (safe/unsafe) using ML models like XGBoost & Random Forest. Features data preprocessing, feature importance, model evaluation, and visualizations. Built with Python, Pandas, Scikit-learn & Seaborn for analysis. 🚀

anaconda jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn xgboost

Last synced: 16 Apr 2026

https://github.com/ksasi/smartcab

machine-learning numpy pandas python reinforcement-learning scikit-learn

Last synced: 16 Apr 2026

https://github.com/navindafernando/character-recognition

Sinhala Character Recognition using KNN :coffee:

joblib knn-algorithm machine-learning matplotlib numpy opencv pillow tikiner-gui

Last synced: 09 May 2026

https://github.com/ricky1984a/customer_analytics

Customer Analytics

kneed machine-learning matplotlib-pyplot numpy pandas python scipy seaborn sklearn

Last synced: 13 Apr 2026

https://github.com/anujdutt9/reinforcement_learning

Reinforcement Learning using Numpy and PyTorch.

numpy python3 pytorch reinforcement-learning

Last synced: 16 Apr 2026

https://github.com/lorenzorottigni/ml-advertising

Machine Learning python bootcamp: logistic regression on advertising dataset

ipynb logistic-regression machine-learning numpy pandas python scikit-learn seaborn

Last synced: 16 Apr 2026

https://github.com/williyam-m/movie_booking_app

A Django-based movie booking app featuring an admin dashboard with CRUD functionality for movies, theatres, screens, shows, and bookings. Includes an ML-powered movie recommendation system.

django machine-learning numpy orm pandas python sckiit-learn sqlite3

Last synced: 16 Apr 2026

https://github.com/pramodyasahan/health-insurance-cost-prediction

This project focuses on predicting health insurance costs using a polynomial regression model. By employing machine learning techniques in Python, the project aims to accurately estimate insurance costs based on various personal attributes. The model takes into account several features including age, sex, BMI, number of children, smoking status etc

machine-learning matplotlib numpy pandas python3 scikit-learn

Last synced: 16 Apr 2026

https://github.com/5hraddha/sda-megaline-the-best-plan

Megaline is a telecom operator and it offers its clients two prepaid plans, Surf and Ultimate. The commercial department wants to know which of the plans brings in more revenue in order to adjust the advertising budget.

data-visualization hypothesis-testing matplotlib numpy pandas scipy seaborn statistical-data-analysis

Last synced: 16 Apr 2026

https://github.com/eljandoubi/predict-customer-churn-with-clean-code

Clean Code Principles

autopep8 logging numpy pandas pylint pytest scikit-learn

Last synced: 16 Apr 2026

https://github.com/hygull/trypandas

A repository containing Python pandas and other data science related sources and other resources used to work with pandas, numpy, matplotlib etc.

matplotlib numpy pandas python3

Last synced: 16 Apr 2026

https://github.com/anas436/hypothesis-testing-practice-with-python

hypothesis-testing inferential-statistics jupyterlab matplotlib-pyplot numpy pandas python3 scipy-stats seaborn statsmodels

Last synced: 16 Apr 2026

https://github.com/hibashajahan55/python-abc-company-analysis

jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 16 Apr 2026

https://github.com/reshmaaiman/liver-patient-prediction

Liver Disease Prediction

data data-science data-visualization dataanalysis jupyter-notebook numpy pandas python seaborn

Last synced: 16 Apr 2026

https://github.com/urvee1810/air-quality-prediction-using-arima

Analyzed Beijing's air quality data using time series analysis and ARIMA modeling to forecast PM2.5 pollution levels. Identified seasonal patterns and correlations between pollutants, revealing insights into urban air quality trends and potential contributing factors.

arima-model dickey-fuller-test matplotlib numpy pandas python seaborn statistical-analysis time-series-analysis

Last synced: 16 Apr 2026

https://github.com/thiti-dev/attendance-management-system

A quick casual project just only for a demonstration in the discrete mathematics course

numpy opencv pandas pillow tkinter

Last synced: 16 Apr 2026

https://github.com/pratyush905/farecast-nyc-taxifare-predictor

Machine learning models to predict nyc taxi fare based on given dataset

jupiter-notebook kaggle machine-learning matplotlib numpy python regression-models scikit-learn

Last synced: 13 Apr 2026

https://github.com/aadityasikder/neural-network-from-scratch-

This notebook demonstrates a neural network implementation using NumPy, without TensorFlow or PyTorch. Trained on the MNIST dataset, it features an architecture with input layer (784 neurons), two hidden layers (132 and 40 neurons), and an output layer (10 neurons) with sigmoid activation.

backward-propagation evaluation forward-propagation mnist-dataset neural-network neural-networks-from-scratch numpy training

Last synced: 16 Apr 2026

https://github.com/anarya22/accenture-north-america-data-analytics-and-visualization-job-simulation-on-forage

Completed a simulation focused on advising a hypothetical social media client as a Data Analyst at Accenture. Cleaned, modelled and analyzed 7 datasets to uncover insights into content trends to inform strategic decisions. Prepared a PowerPoint deck and video presentation to communicate key insights for the client and internal stakeholders.

analyzing-visualization data-cleaning data-visualization numpy pandas powerbi powerpoint-presentations

Last synced: 09 May 2026

https://github.com/chandkund/predicting-diabetes-onset

The "Predicting Diabetes Onset" project aims to build a machine learning model that predicts whether an individual has diabetes based on various health-related features. The dataset used for this project includes attributes related to medical history and physical measurements.

deep-learning numpy pandas python seaborn sklearn-library sklearn-metrics visualization

Last synced: 13 Apr 2026

https://github.com/costrouc/xnd-notebooks

A collections of notebooks that demonstrate xnd, ndtypes, and gumath features

binder gumath ndtypes notebooks numba numpy xnd

Last synced: 16 Apr 2026

https://github.com/ivancaez/analisis_dades_microbit

Data analysis of Micro:bit with maplotlib, numpy and pandas

csv jupyter-notebook matplotlib microbit numpy pandas python

Last synced: 13 Apr 2026

https://github.com/magnusrodseth/disaster-tweets

📚 Assignments in the course IT3212 - Data Driven Software at NTNU. Our task is to classify whether a tweet is related to a disaster or not.

adaboost jupyter-notebook logistic-regression numpy pandas python python3 random-forest support-vector-machines xgboost

Last synced: 16 Apr 2026

https://github.com/ejw-data/tableau-songs

Brief analysis of songs from 1890 - 2015 using pandas and Tableau

numpy pandas python songs tableau

Last synced: 16 Apr 2026

https://github.com/ashwin331133/liver_disease_detection

This dataset consists of 416 liver patient records and 167 non-liver patient records collected from North East of Andhra Pradesh, India. And The main objective of this project is to use classification algorithms to detect liver patients from healthy individuals.

data-visualization machine-learning numpy pandas python

Last synced: 16 Apr 2026

https://github.com/ksprugevics/magic-square

Some simple algorithm implementations for solving (ordinary) magic squares using NumPy

algorithms mathematics numpy python

Last synced: 21 Apr 2026

https://github.com/bzubs/mlzero

Implementation of widely used ML algorithms in vanilla python

machine-learning machine-learning-algorithms machinelearning numpy python statistics

Last synced: 03 Mar 2026

https://github.com/oleksiilatypov/titanic_ml

Titanic Survival Prediction using ML and Flask Deployment.

data-science docker flask machine-learning numpy pandas skit-learn

Last synced: 13 Apr 2026

https://github.com/bbhargavpanchal/brain-tumor-segmentation-unet

U-Net based Convolutional Neural Network for brain tumor segmentation using MRI images. Implemented in Python with TensorFlow, OpenCV, and Scikit-learn.

keras-tensorflow numpy opencv pandas python scikit-learn sklearn tensorflow

Last synced: 13 Apr 2026

https://github.com/macktb/tetris

Tetris game

list-comprehension numpy

Last synced: 16 Apr 2026

https://github.com/abideen-olawuwo/predictive-maintenance

A predictive maintainance model

decision-trees ipython matplotlib numpy pandas plotly python random-forest seaborn sklearn smote

Last synced: 27 Mar 2026

https://github.com/eljandoubi/breakout-strategy

Implementation of the Breakout Strategy

breakout numpy pandas scipy trading-algorithms trading-strategies training

Last synced: 16 Apr 2026

https://github.com/khaymanii/calories-burnt-prediction-model

This model was built using Python and XGBoost Regression algorithm

matplotlib numpy pandas python scikit-learn

Last synced: 16 Apr 2026

https://github.com/farzeennimran/house-price-prediction-using-simple-linear-regression

data-science linear-regression matplotlib numpy pandas python sklearn visualization

Last synced: 13 Apr 2026

https://github.com/anas436/student-performance-analysis

In this project I have constructed a Machine Learning System which will analyis students performance with about their academic records. Note that, this project will work with any students recods which you want to provide.

data-analysis jupyter-notebook matplotlib numpy pandas python3 seaborn

Last synced: 16 Apr 2026

https://github.com/asadiahmad/image-enhancement

Image Enhancement with OpenCV Numpy and MatPlotLib

gamma-correction image-enhancement image-processing matplotlib numpy opencv python roi-selection

Last synced: 16 Apr 2026

https://github.com/abhishekpsonawane07/loan-repayment-prediction-ml

Loan Approval Prediction uses machine learning to analyze factors like income and credit history, automating and improving the loan approval process. The project ensures accurate, efficient, and user-friendly predictions with a Gradio interface.

artificial-neural-networks confusion-matrix decision-trees gradio-interface k-nearest-neighbours loan-dataset loan-prediction-analysis loan-repayment logistic-regression numpy pandas python random-forest sckiit-learn seaborn support-vector-machines

Last synced: 16 Apr 2026

https://github.com/nitor-infotech-oss/aiml-data-processing

Data Processing Algorithms

aiml numpy pandas scikit-learn

Last synced: 16 Apr 2026

https://github.com/thekartikeyamishra/customer-retention-predictor

The Customer Retention Predictor is a Python-based tool designed to help businesses predict customer churn using historical data. This project is particularly beneficial for small businesses and MSMEs in India, allowing them to identify customers at risk of leaving and take proactive measures to retain them.

joblib machine-learning numpy pandas python scikit-learn tinker

Last synced: 16 Apr 2026

https://github.com/dina-hosny/investigate-a-dataset-project

Investigate a Dataset project - Udacity Data Analysis Professional Track. In this project, I used the Python libraries NumPy, Pandas and Matplotlib to analyze a dataset and communicate my findings about it.

csv data-analysis jupyter-notebook matplotlib numpy pandas python

Last synced: 16 Apr 2026

https://github.com/pedasoft-consult/customer_analytics_fmcg

Customer Analytics in FMCG Industry

k-means-clustering matplotlib numpy pandas python seaborn

Last synced: 03 Mar 2026

https://github.com/shiqilu77/machinlearning-lol_gaming

a supervised model that predicts the match winning rate in LOL game based on the lineups of both sides. Implemented data processing by multiple python API including sklearn, NumPy, pandas, and by feature encoding, kNN, Synthetic Minority Oversampling Technique, etc

league-of-legends machine-learning numpy supervised-learning

Last synced: 16 Apr 2026

https://github.com/iankitnegi/python_projects

Data Analyst Toolkit: A comprehensive collection of Python scripts and notebooks designed for data analysis tasks. Features data cleaning, visualization, statistical analysis, and machine learning models. Ideal for analysts seeking efficient, reproducible workflows.

matplotlib numpy pandas python seaborn

Last synced: 20 Apr 2026

https://github.com/mugambi645/exploring-ebay-car-sales-data

Exploring ebay car sales dataset

car-sales data-analysis numpy pandas

Last synced: 16 Apr 2026

https://github.com/archish27/pythontutorial

Python Programming Tutorial for new geeks who want to learn python from scratch to deal with various applications

matplotlib numpy pandas pygame python python-2 python-3 scikit-learn soup

Last synced: 01 Apr 2026

https://github.com/moonmoonsamal/meesho_order_financial_analysis

Generating insights from Meesho sales data (Oct-Nov)

cleaning-dataset eda numpy pandas visualization

Last synced: 16 Apr 2026

https://github.com/tim-w-james/python-data-reference-code

Python reference code for data visualization, machine learning and SQL

data-science jupyter-lab numpy python

Last synced: 10 May 2026

https://github.com/anas436/credit-card-fraud-detection-using-machine-learning-with-python

accuracy-metrics decision-trees jupyterlab knn-classification logistic-regression naive-bayes-classifier numpy pandas python3 random-forest-classifier scikit-learn sklearn svm

Last synced: 03 Mar 2026

https://github.com/sahiltiwariiii/dssp

Predicting student math scores ! This project utilizes advanced machine learning techniques and MLOps tools like DVC and MLflow to predict a student's math score based on various factors such as gender, race/ethnicity, parental level of education, lunch type, test preparation course, writing etc

docker dotenv dvc flask machine-learning mlflow mlops mysql mysql-connector-python numpy pandas pymysql python python-dotenv scikit-learn seaborn sklearn-library statistics streamlit

Last synced: 27 Mar 2026

https://github.com/shreeparab1890/indian-cricketer-classifier

This notebook is trying to bulia a model which will predict a Indian Cricketer based on the given image. In this project we have handled 8 Indian Cricketers and build a model to classify the given image between this 8 Cricketers.

image-classification matplotlib numpy opencv pandas python random-forest-classifier scikit-learn sklearn streamlit