NumPy | Ecosyste.ms: Awesome

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/sarthakm402/rabbi

A Ml library that can be used ot clean,and use models to predict on data

numpy optuna pandas pypi-package python sklearn

Last synced: 20 Apr 2026

https://github.com/minjii1079/pytune

Building PyTune, a Python guitar tuner that uses PyAudio for recording, NumPy for math operations, and SciPy for FFT (Fast Fourier Transform) and signal processing.

fft guitar-tuner music numpy pyaudio python3 scipy

Last synced: 07 May 2026

https://github.com/lintangwisesa/flask_sklearn_californiahouse

Simple Flask App with Linear Regression model to predict California house pricing 🏠

california-house-pricing flask linear-regression machine-learning numpy pandas sklearn

Last synced: 12 Apr 2026

https://github.com/rayniel95/enog

artificial-intelligence artificial-neural-networks crf-model crfsuite keras-neural-networks lstm-neural-networks machine-learning matplotlib notebook-jupyter numpy pandas-python python3 sklearn-library university-of-havana word-emeddings

Last synced: 16 Apr 2026

https://github.com/leftcoastnerdgirl/supervised_learning

This project demonstrates supervised machine learning using scikit-learn.

classification-reports confusion-matrix jupyter-notebook numpy pandas-python pathlib scikit-learn sklearn

Last synced: 16 Apr 2026

https://github.com/oguzhantekeli06/datascience_machinelearning_prediction

Data science project

data-visualization datascience-machinelearning numpy python3

Last synced: 25 Apr 2026

https://github.com/shriansh8619/eda_customer_behavior

This project analyzes Nielsen transaction data using Python to uncover sales trends, customer preferences, and purchasing patterns. It provides insights to optimize inventory, create targeted promotions, and improve store performance. The goal is to help supermarkets enhance strategies and boost profitability based on data-driven insights

matplotlib numpy pandas python seaborn

Last synced: 16 Apr 2026

https://github.com/bishopce16/school_district_analysis

The school board requested an analysis on the various performance metrics for the school district.

data-analysis jupyter-notebook numpy pandas python visual-studio-code

Last synced: 16 Apr 2026

https://github.com/basith-ahmed/mtrp-butcher

A Machine Learning model, utilizing a range of technical indicators to accurately forecast forthcoming trend reversals with a high degree of confidence. This model is also complemented by an interactive web interface.

exponential-moving-average ipynb logistic-regression macd machine-learning matplotlib numpy pandas python rsi stochastic-rsi streamlit technical-analysis yfinance

Last synced: 04 Mar 2026

https://github.com/massimilianovisintainer/house-price-model-prediction

House price prediction model using XGBoost.

machine-learning models numpy pandas python sklearn xgboost xgboost-regression

Last synced: 20 Jan 2026

https://github.com/prajakta1321/exoplanet-atmospheric-characterization-1

A machine learning project to classify exoplanets using light curve image data. Developed as part of the ML4SCI GSoC 2025 Test Task. Includes data processing, CNN-based model, and full report.

classification colab-notebook dbscan gsoc-2025 machine-learning-algorithms matplotlib-python ml numpy open-source pca-analysis python3 seaborn

Last synced: 07 May 2026

https://github.com/hansalemaos/cppradixsort

parallel_radixsort from C++ for Python (Windows)

cpp numpy parallel-computing python sort

Last synced: 05 Feb 2026

https://github.com/priyanshul28/ml_eda_regression_energyconsumptionforecasting

An EDA and Machine Learning Time-Series Regression Forecasting exercise on the PMJE Energy Consumption dataset demonstrating time-series analysis and the use of Time-Series Split, XGBoost, etc. The model is optimized using hyperparameter tuning through GridSearchCV. A Rob Mulla guided exercise.

forcasting machine-learning numpy pandas scikit-learn time-series-analysis

Last synced: 17 Apr 2026

https://github.com/louisblankemeier/numpytex

Latex script generator that generates an aesthetically appealing table using a numpy array.

latex numpy script-generator table

Last synced: 07 May 2026

https://github.com/shahbazshaddy/explainable-multimodal-ai-for-breast-cancer-and-pneumonia-prediction

A deep learning-based framework integrating explainable multimodal AI for accurate prediction and transparent diagnosis of breast cancer and pneumonia.

deep-learning explainable-ai grad-cam groq-api llm machine-learning matplotlib multimodal numpy pandas python pytorch scikit-learn seaborn streamlit

Last synced: 08 Apr 2026

https://github.com/abhishek-k-git/soulmegle

expressjs flask html nodejs numpy python3 reactjs scikit-learn socket tailwindcss

Last synced: 01 Apr 2026

https://github.com/gautam-cs/data_science

In this project, I was trying to get most of the relevent information of the data using library like numpy, pandas. I have worked on data like aadhar data, Olympics data

aadhar-data csv data-science json numpy olympics-data pandas python35

Last synced: 17 Apr 2026

https://github.com/syedzaheerabbas/risk-analytics-with-python

This project focuses on developing a basic understanding of risk analytics in banking and financial services and understand how data is used to minimize the risk of losing money while lending to customers.

eda hypothesis-testing numpy pandas python risk-analysis seaborn

Last synced: 17 Apr 2026

https://github.com/navid-kalaei/numpy-neural-network

Neural network implemented in Numpy to predict bike sharing on real data

deep-learning neural-network numpy python

Last synced: 07 May 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 Apr 2026

https://github.com/kodemartin/np-pd-portfolio

Portfolio of numpy, pandas, and matplotlib solutions

matplotlib numpy pandas

Last synced: 17 Apr 2026

https://github.com/singhvishal003/stock-price-predict

Stock Price Prediction model using yfinance data .

keras matplotlib numpy pandas yfinance

Last synced: 08 Apr 2026

https://github.com/kheriberto/knn_project

This is a simple project that uses dummie data to practice and demonstrate my knowledge of the KNN algorithm.

data-analysis knn-classifier numpy python scikit-learn seaborn

Last synced: 02 Apr 2026

https://github.com/nathadriele/ifood-data-governance-pipeline

Este projeto demonstra uma solução completa de Data Governance com foco em qualidade, rastreabilidade, segurança e conformidade com LGPD. Utiliza tecnologias modernas como Streamlit, Airflow, dbt e Pydantic para implementar um ecossistema funcional e interativo com dashboard de governança de dados.

airflow dashboard data-analysis data-catalog data-engineering data-governance data-quality data-visualization dbt ifood lgpd matplotlib numpy observability-data pandas pipeline pyspark redis seaborn streamlit

Last synced: 02 Apr 2026

https://github.com/satyas567/weatherdataanalysis

Comprehensive Weather Data Analysis with Python: Explore trends, visualize patterns, detect outliers, and predict temperature using humidity and wind speed

jupyter-notebook linear-regression matplotlib numpy pandas python scikit-learn seaborn

Last synced: 02 Apr 2026

https://github.com/offthetab/ml_homework

Практические работы по анализу данных МИРЭА 3 курс.

ml numpy pandas python shap sklearn xgboost

Last synced: 02 Apr 2026

https://github.com/pranavv34/customer-segmentation

Predictive modeling and customer segmentation project using neural networks to forecast sales and categorize customers for targeted marketing in the online retail sector.

keras matplotlib numpy pandas python seaborn sklearn tensorflow

Last synced: 02 Apr 2026

https://github.com/niteshchawla/clustering-ml

Analyzing the vast data of learners can uncover patterns in their professional backgrounds and preferences. Allowing Scaler to make tailored content recommendations and provide specialized mentorship.

cluster-analysis clustering hierarchical-clustering k-means-clustering machine-learning numpy pca-analysis visualisation

Last synced: 17 Apr 2026

https://github.com/ledsouza/curso_de_estatistica_parte_4

Projeto de estatística para estudo de correlação e regressão

data-science data-visualization numpy pandas seaborn statsmodels vitrinedev

Last synced: 17 Apr 2026

https://github.com/abdullahkhurshid/lung-cancer-prediction

Exploring predictive machine learning for cancer prevention

data-visualisation keras-neural-networks machinelearning matplotlib numpy pandas python scikit-learn seaborn seaborn-python

Last synced: 08 Apr 2026

https://github.com/kiarashyavari/python_interview

Practice intermediate to advance topics of Python here

decorators generator multiprocessing multithreading numpy pandas python python3

Last synced: 17 Apr 2026

https://github.com/felixamaladhas/amazon-reviews-sentiment-analysis

This is a sentiment analysis project that classifies Amazon product reviews as positive or negative using machine learning techniques.

matplotlib numpy pandas python scikit-learn

Last synced: 02 Apr 2026

https://github.com/rakibhhridoy/predictingsequence-timeseriesanalysis

Time series data easy handling purposes in TensorFlow and python functional programming. Time Series data is handled and pre-processed by different steps,like making window of the data,splitting data for model purpose is also different than other processing methods. All has combined for easy access.

forecasting functional-programming keras lstm lstm-neural-networks moving-average numpy python tensorflow time-series windowed

Last synced: 02 Apr 2026

https://github.com/iliailmer/numpy_learn

A small machine learning mock-library written entirely in numpy and shamelessly imitating PyTorch.

deep-learning machine-learning mnist numpy scipy

Last synced: 09 May 2026

https://github.com/kostadinlambov/the-galois-field-in-cryptography

This project is about Galois fields, what properties they have and how they can be used in cryptography.

aes-encryption asymmetric-cryptography encryption-decryption extension-fields finite-fields galois-fields numpy prime-fields python symmetric-cryptography

Last synced: 08 May 2026

https://github.com/nikhilsree5/aerofitcasestudy

Customer Profiling and Market Segmentation for AeroFit Treadmills: A Data-Driven Approach

customerprofile eda numpy pandas python visualization

Last synced: 17 Apr 2026

https://github.com/theakashshukla/diabetes-prediction

Diabetes Prediction using futuristic tool

ai jupiter-notebook ml numpy pandas sklearn

Last synced: 17 Apr 2026

https://github.com/anas436/hypothesis-testing-using-nhanes-data-with-python

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

Last synced: 17 Apr 2026

https://github.com/antonio-f/regularization-methods

Shrinkage methods: Ridge Regression and Lasso

lasso lasso-regression machine-learning numpy python regularization ridge-regression scikit-learn

Last synced: 17 Apr 2026

https://github.com/kaushik-puttaswamy/exploratory-data-analysis-using-python

This project applies Exploratory Data Analysis (EDA) using visualizations like box plots, scatter plots, and correlation matrices. It helps identify patterns, select ideal functions via least squares error, and map test data while evaluating deviations.

bokeh expolatory-data-analysis matplotlib numpy pandas python seaborn sqlalchemy

Last synced: 17 Apr 2026

https://github.com/muhkartal/e-forecast

machine learning-powered energy consumption prediction system that analyzes historical data to forecast future energy usage trends, optimizing efficiency and sustainability.

fastapi joblib matplotlib numpy pandas pydantic pytest sckit-learn seaborn tensorflow tqdm uvicorn xgboost yaml

Last synced: 08 Apr 2026

https://github.com/shhiivvaam/regression

Linear Regression Model

linear-regression numpy python

Last synced: 10 May 2026

https://github.com/mnitin-reddy/content-based-recommendation-system-using-deep-learning

A content-based movie recommendation system using deep learning to predict user ratings by leveraging user and movie features. The system integrates neural networks for feature extraction, utility scripts for data processing, and supports both new and existing user recommendations.

deep-learning keras neural-networks numpy pandas python scikit-learn tensorflow

Last synced: 03 Apr 2026

https://github.com/alanmenchaca/numpy-notes

collection of notes to learn numpy!

jupyter-notebooks numpy python

Last synced: 08 May 2026

https://github.com/noluyorabi/bravais-pearson-interactive

Bravais-Pearson Interactive – A web app for visualizing Pearson correlation. Generate datasets, analyze correlations, and explore regression lines, r², and p-values interactively.

data-visualization interactive-analysis matplotlib numpy pearson-correlation scipy seaborn statistics streamlit

Last synced: 17 Apr 2026

https://github.com/separatrixxx/aviahack5

✈️ Aviahackathon 5

fastapi http-server numpy pandas pyside6 python react sqlite3 tailwind-css typescript

Last synced: 04 Apr 2026

https://github.com/mwoss/mownit

Various tasks from numerical analysis laboratories solved using Python

jupyter-notebook mathematics matplotlib numerical-analysis numpy python scipy

Last synced: 17 Apr 2026

https://github.com/anas436/data-analysis-usingdecision-tree_ten-thousands-of-food-recipes-cuisines-and-ingredients

decision-tree matplotlib numpy pandas sklearn

Last synced: 19 Apr 2026

https://github.com/azaz9026/python_library_numpy

NumPy is a Python library used for working with arrays. It also has functions for working in domain of linear algebra, fourier transform, and matrices...

array jupyter-notebooks numpy python3

Last synced: 08 May 2026

https://github.com/datamallo/python101

The ressources you need to learn or get better in Python. Covering the basics of Python3, NumPy and Pandas for

numpy pandas python3

Last synced: 18 Apr 2026

https://github.com/devllm/exemple-de-quantization

Démo de quantization de modèle

ai artificial-intelligence deep-learning ia intelligence-artificielle keras machine-learning matplotlib ml numpy python python3 quantization tensorflow tensorflow-lite

Last synced: 18 Apr 2026

https://github.com/rsc-88/titanic

Data Science

jupyter-notebook numpy pandas python

Last synced: 08 May 2026

https://github.com/jass024/bitcoin-historical-analysis

Performed comprehensive time-series analysis on 14+ years of Bitcoin historical data using Python (Pandas, NumPy, Plotly). Calculated key technical indicators (SMA, EMA, RSI, volatility) to identify market trends, potential anomalies, and areas of regulatory concern. Visualized results using interactive Plotly charts.

numpy pandas python-3

Last synced: 18 Apr 2026

https://github.com/ahsouza/timenow

API Laravel & SPA Vue.JS containerized

docker docker-compose dockerfile laravel mysql-database nginx nodejs npm numpy php7 pyaudio python3 security-tools shell-script vagrant vuejs vuesax vuex vuex-store zenity

Last synced: 04 Apr 2026

https://github.com/awanraskall/retail-demand-analysis

Data analysis of retail meal orders, fulfillment centers, and product demand using Python

data-analysis data-visualization jupyter-notebook numpy pandas python

Last synced: 18 Apr 2026

https://github.com/bvsam/nnfs

Basic neural network built using Python and Numpy. Created to better understand neural networks.

artificial-intelligence deep-learning machine-learning neural-network neural-networks numpy python3

Last synced: 18 Apr 2026

https://github.com/gregoritsch3/ml_clustering_eda_customersegmentation

An EDA and Machine Learning Clustering exercise on the Mall Customer Segmentation synthetic dataset demonstrating the use of KMeans Clustering and the Elbow Method. The clustering algorithm successfully segments the customer base into groups distinguishable by their annual income and spending score.

clustering kmeans-clustering machine-learning matplotlib numpy pandas scikit-learn scipy seaborn

Last synced: 04 Apr 2026

https://github.com/najmulislamnajim/election_data_analysis

css django html javascript numpy pandas python

Last synced: 08 Apr 2026

https://github.com/ola-kaznowska/image-processing-

Image processing. Artificial neural network

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

Last synced: 18 Apr 2026

https://github.com/sundanc/weatherprediction

This project implements a weather prediction system that predicts the temperature based on real-time weather data, including features like humidity, wind speed, and day-related features (day of the week, month

machine-learning machinelearning numpy pandas programming python scikit-learn scikitlearn-machine-learning weather-prediction

Last synced: 18 Apr 2026

https://github.com/momo790-m/startup-profit-prediction

Machine learning project to predict profits of new startups based on R&D, Admin, Marketing, and State data

assumptions business colab-notebook linear-regression machine-learning matplotlib numpy pandas preprocessing seaborn skit-learn sklearn

Last synced: 08 May 2026

https://github.com/ksasi/dog-breed-classifier

Dog Breed Classifier

cnn cnn-classification computer-vision deep-learning deep-neural-networks keras keras-neural-networks machine-learning numpy pandas python scikit-learn

Last synced: 05 Apr 2026

https://github.com/ricardorobledo/next_level_data_science

matplotlib numpy pandas python3 scikit-learn

Last synced: 05 Apr 2026

https://github.com/murugavl/flower-prediction

Flower Prediction is a machine learning project that uses the Iris dataset to classify iris flowers into three species: Setosa, Versicolor, and Virginica. The project includes data analysis, model training with various algorithms, and deployment via a Flask web application for user-friendly predictions.

flask machine-learning matplotlib numpy pandas python scikit-learn seaborn

Last synced: 05 Apr 2026

https://github.com/omraj0/covid19-data-analysis

Analysis of COVID-19 infection rates in various countries, correlating them with factors such as GDP per capita and social support.

covid-19 google-colab matplotlib numpy pandas python

Last synced: 19 Apr 2026

https://github.com/rafagomezguillen/data-science-python

Data Science and Python notes

data-science django-rest-framework matplotlib numpy pandas python seaborn webscraping

Last synced: 18 Apr 2026

https://github.com/rdvdev2/tf-test

Mostres de ML i IA amb TensorFlow basades en els tutorials oficials per al PR

numpy python research-project tensorflow tensorflow-tutorials

Last synced: 22 Mar 2025

https://github.com/jai0212/ai-virtual-painter

Real time finger and object painting using advanced computer vision technology with custom hand gestures and customizable colours

artificial-intelligence cmake computer-vision cpp mediapipe numpy opencv python

Last synced: 05 Apr 2026

https://github.com/shdrn2402/incomesresearch

The project aims to study the influence of various characteristics on a person’s income. In this project, I practiced data preprocessing and visualization, and also touched on the basics of machine learning.

jupyter-notebook matplotlib numpy pandas python seaborn sklearn visualization

Last synced: 05 Apr 2026

https://github.com/afnanelhussini/biometrics

LABS for Biometrics Course

biometric-authentication biometric-identification biometrics cv2 numpy opencv python3

Last synced: 08 May 2026

https://github.com/aysh2603/twitter-sentiment-analysis

The Twitter Sentiment Analysis project employs Natural Language Processing (NLP) techniques to classify tweets into positive or negative sentiments. By analyzing the tone of tweets, this project provides insights into public sentiment on various topics.

hyperparameter-tuning nlp-machine-learning numpy pandas python3 scikit-learn

Last synced: 13 Jul 2025

https://github.com/akansharajput280799/data-exploration-and-visualization-for-streaming-platform

Data Analysis and Visualization for streaming platform to provide insights and recommendations to improve their userbase.

data-visualization excel exploratory-data-analysis matplotlib numpy python seaborn

Last synced: 08 May 2026

https://github.com/faraazarsath/guvi-task-4

This repository contains Python scripts for assessing and categorizing student performance data from two CSV files. The tasks include categorizing students based on their CodeKata scores.

data-visualization matplotlib numpy pandas

Last synced: 18 Apr 2026

https://github.com/somenath203/skin-lesion-segmentation-opencv

numpy opencv pandas skin skin-lesion skin-lesion-segmentation

Last synced: 18 Apr 2026

https://github.com/ayu-ano/basic_object-detection

End to End Basic object Detection using Open CV

background-substraction-algorithm cv2 masking math mixture-of-gaussians numpy python3

Last synced: 18 Apr 2026

https://github.com/znreza/paradoxes

Q-learning algorithm from scratch in python for optimal path finding

grid grid-search matrix numpy python qlearning-algorithm reinforcement-learning

Last synced: 18 Apr 2026

https://github.com/linggarm/lvq-and-elm-with-iris-dataset

Implementation of Learning Vector Quantization (LVQ) and Extreme Learning Machine (ELM) with Iris Dataset

artificial-intelligence deep-learning elm extreme-learning-machine learning-vector-quantization lvq machine-learning numpy python soft-computing

Last synced: 18 Apr 2026

https://github.com/rakibhhridoy/covid19analysisindashboard-tableau

Covid19 dashboard analysis of world,north america,south east Asia and their characteristics upon pandemic. Some interesting statistics is shown by the data. The increase rate make effect on death and recover rate quite periodic. Simulating those changes make more interactive.

covid-19 dashboard data-processing dataviz numpy pandas python statistics tableau tableau-dashboards

Last synced: 06 May 2026

https://github.com/mayankmittal29/criticalphenomena-exploring_phase_transitions_and_self-organized_criticality

A computational physics project exploring critical phenomena through percolation theory and the Bak-Tang-Wiesenfeld sandpile model.

criticality-c gif-animation jupyter-notebook matplotlib numpy percolation-theory python3 sandpile-model

Last synced: 18 Apr 2026

https://github.com/chaganti-reddy/heart_disease_prediction

Machine Model creation for Heart Disease Prediction

data-science deep-learning machine-learning numpy python

Last synced: 11 May 2026

https://github.com/jahanostg/linear-regression_ml-algorithm

Linear Regression Algorithm

colab-notebook matplotlib numpy pandas scikit-learn seaborn

Last synced: 08 May 2026

https://github.com/kumpatlapavankumar/eda-project-on-google-play-store-anlaysis

analysis computer-science data-cleaning data-science data-scraping enginneering enjoy exploratory-data-analysis matplotlib numpy outlier-detection pandas preprocessing projects seaborn-plots upgrad

Last synced: 19 Apr 2026

https://github.com/costopoulos/ntua-dsp

:signal_strength: NTUA ECE Digital Signal Processing Course Source Codes and Reports

dsp filters fourier-transform librosa numpy pywt scipy short-time-signal-analysis stft

Last synced: 19 Apr 2026

https://github.com/himanshugoyal77/movie-recommendation

Cosine similarity based Recommendation Engine

nltk numpy pandas requests-library-python tmdb-api vectorization

Last synced: 08 May 2026

https://github.com/vyjayanthipolapragada/data_analytics_medical_appointments

Analyzing the data set which consists of medical appointments to draw insights about patient's no-show scenarios

data-analysis data-analytics data-cleaning data-visualization data-wrangling jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 19 Apr 2026

https://github.com/emerald-geomodelling/downfile

A safe & version independent pickle alternative that integrates setuptool entry points for extensions

feather json numpy pandas python serialization

Last synced: 19 Apr 2026

https://github.com/anas436/lists-vs.-numpy-arrays-with-python

inferential-statistics jupyterlab matplotlib-pyplot numpy pandas python3

Last synced: 20 Apr 2026

https://github.com/ola-kaznowska/ai-python

Artificial Neural Networks in Python

ai artificial-intelligence artificial-neural-networks machine-learning numpy numpy-library python3 tensorflow tensorflow2

Last synced: 20 Apr 2026

https://github.com/shreeya-methuku/predictive_analysis

This project leverages machine learning to perform time-series forecasting on key financial metrics, including sales (income), expenses, cash flow, and profit.

arima financial-forecasting numpy pandas sarima xgboost

Last synced: 20 Apr 2026

https://github.com/vyjayanthipolapragada/car_mileage_prediction

Predicting the mileage of car using the linear regression model with Scikit-learn

kaggle-titanic linear-regression machine-learning numpy pandas predictive-modeling python scikit-learn

Last synced: 20 Apr 2026

https://github.com/saurabh9136/data-analysis_using_pandas-numpy

A beginner-friendly repository exploring data analysis using NumPy and Pandas. Covers fundamental operations, data manipulation, and real-world dataset analysis.

data-analysis-python numpy pandas python scipy

Last synced: 20 Apr 2026

https://github.com/raghavendranhp/airbnb-data-analysis

The Airbnb Data Analysis project focuses on analyzing Airbnb data using MongoDB Atlas, Python scripting, data preprocessing, visualization, and interactive geospatial insights. We delve into the world of property management and tourism to uncover trends, pricing variations, and location-based analysis.

eda jupyter-notebook mongodb numpy pandas powerbi preprocessing

Last synced: 08 Apr 2026

https://github.com/prithvikings/zomato_data_anaysis

This analysis provides insights into customer preferences and restaurant performance on Zomato. The visualizations and findings can help Zomato make informed decisions to improve customer experience and tailor their offerings.

matplotlib numpy pandas python seaborn

Last synced: 20 Apr 2026

https://github.com/jbalooshie/school_district_analysis

Analysis of standardized testing results using NumPy and Pandas, executed in Jupyter Notebook. Summaries of the testing results are provided based on school, test type, and grade level.

data-analysis data-science dataframes jupyter-notebook numpy pandas python