NumPy
NumPy is an open source library for the Python programming language, adding support for large, multidimensional arrays, and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.
- GitHub: https://github.com/topics/numpy
- Wikipedia: https://en.wikipedia.org/wiki/NumPy
- Repo: https://github.com/numpy/numpy
- Created by: Travis Oliphant
- Related Topics: python, scipy,
- Last updated: 2026-02-09 00:17:55 UTC
- JSON Representation
https://github.com/mdaltamashalam/uber-fare-prediction-models
Predicts the fare amount of Uber rides based on various factors such as pickup/drop-off coordinates, passenger count, and trip distance.
catboost data-analysis data-cleaning data-visualization lgbm-regressor machine-learning matplotlib numpy pandas python random-forest regression-models skit-learn xgboost-algorithm
Last synced: 20 Jun 2025
https://github.com/shibam120302/all_about_python
Here I upload python from basic to advance ,oops in python, dsa using python system design, numpy, pandas, data science, ML also. Follow @shibam120302 and star this repo.
numpy numpy-arrays oops-in-python pandas python python-dsa python-library python3 system-design tabula
Last synced: 21 Jun 2025
https://github.com/sumaiyyaf/spotify-data-analysis
This project explores Spotify music data, using Python to clean, analyze, and visualize the dataset. It examines the relationship between audio features and sentiment in song lyrics, uncovering patterns and trends to provide valuable insights into music preferences.
Last synced: 29 Oct 2025
https://github.com/ithany19/wildlife-species-identification-using-cnn
In this project i've built and trained a Convolutional Neural Network (CNN) to classify wild animals.
cnn cnn-classification cnn-keras cnn-model convolutional-neural-networks neural-network numpy opencv pandas python scikit-learn tensorflow wildlife-classification
Last synced: 30 Dec 2025
https://github.com/maia-bastos/regress-o-linear-atividade-est-gio-cvm
Linear Regression Model - Teste Técnico
machine-learning numpy pandas python sklearn
Last synced: 11 Jul 2025
https://github.com/pedronjorge/average-face-python
Generate an average face from a given set of images by detecting facial landmarks, aligning features, and blending the images using Delaunay Triangulation. Libraries used: Dlib, OpenCV, NumPy
dlib image-generation jupyter-notebook numpy opencv python3
Last synced: 21 Jun 2025
https://github.com/himudigonda/gradwire
GradWire: A NumPy-based Automatic Differentiation Engine
automatic-differentiation deep-learning dynamic-computation-graphs machine-learning numpy operator-overloading
Last synced: 21 Jun 2025
https://github.com/trivediayush/python-bootcamp
This repository contains code, notes, and examples from my journey learning Python and its essential libraries.
flask matplotlib numpy pandas python python3 pythonbootcamp
Last synced: 01 Jul 2025
https://github.com/ayushhhh123/diwali_sales_analysis
This project provides a comprehensive analysis of Diwali sales data using Python. The primary goal is to derive business insights from customer purchasing behavior during the Diwali festival season. This analysis can help improve marketing strategies, customer targeting, and overall sales performance.
matplotlib numpy pandas python seaborn
Last synced: 21 Jun 2025
https://github.com/dineshdhamodharan24/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: 30 Dec 2025
https://github.com/emisael21/python
# python This repository contains useful Python snippets and functions, from scrapers to database connections. Explore various scripts for web scraping and API interactions, all organized for easy reference. 🐍✨
algorithm algorithms-implemented client-python community-driven control education excel exercism-track hacktoberfest interview matplotlib numpy pandas practice python-course python-spider searches sorting-algorithms
Last synced: 31 Aug 2025
https://github.com/krish57-bit/sentiment-analysis-using-bert
Sentiment analysis using NLP techniques and BERT Model
matplotlib natural-language-processing nlp nltk numpy pandas seaborn sentiment-analysis
Last synced: 21 Jun 2025
https://github.com/ulysseyann/breast-cancer-ml-prediction
This repository contains machine learning models for predicting breast cancer survival outcomes using clinical data. Explore classification and regression techniques to gain insights into patient prognosis. 🩺📊
accuracy breast-cancer breast-cancer-classification breast-cancer-prediction breast-cancer-wisconsin classification classification-model datascience ensemble jupyter-notebook knn-algorithm logistic-regression machine-learning machinelearningprojects numpy pandas scikit-learn svm
Last synced: 21 Jun 2025
https://github.com/atharvkadammm/calmlytic
An end-to-end machine learning project that predicts anxiety severity using classification models (Naive Bayes, Decision Tree, SVM, Logistic Regression, XGBoost), based on lifestyle, health, and behavioral features.
anxiety-prediction classification csv data-analysis data-preprocessing-and-cleaning data-science data-visualization ensemble-learning logistic-regression machine-learning-algorithms matplotlib mental-health numpy pandas python sci-kit-learn seaborn supervised-learning svm xgboost
Last synced: 21 Jun 2025
https://github.com/nandinimarepalli/ai_ml_internship_projects
Projects completed during my AI/ML and Data Expert internship, including EDA, machine learning models, and dashboard development using Python, pandas, scikit-learn, and visualization libraries.
matplotlib numpy pandas python scikit-learn seaborn
Last synced: 21 Jun 2025
https://github.com/fjohnson87/planning-and-feasability
Data-driven feasibility analysis using pandas, seaborn, and FAO food supply data
Last synced: 21 Jun 2025
https://github.com/hawkharsh1/house-price-pridiction-model-using-ann
A deep learning-based regression model built using Artificial Neural Networks (ANN) in PyTorch to predict house prices from structured data. This project demonstrates the application of machine learning and deep learning techniques for solving real-world problems in the housing domain.
artificial-neural-networks deep-neural-networks machine-learning numpy pandas python3 pytorch scikit-learn
Last synced: 21 Jun 2025
https://github.com/shankhadweep/diabetes-prediction-systemv3
This project demonstrates a machine learning solution for predicting diabetes based on user-provided health data. The application uses Streamlit for an interactive web interface and advanced interpretability tools like SHAP and permutation importance to explain model predictions.
jupyter-notebook machine-learning matplotlib numpy pandas plotly randomforestclassifier sckit-learn seaborn streamlit-webapp
Last synced: 11 Sep 2025
https://github.com/djdurga/predictive_analysis_in_diabetes
This project applies Logistic Regression to predict diabetes in patients using the Pima Indians Diabetes Dataset. It covers the full data science lifecycle — from data imputation and exploration to model training, evaluation, and insights.
Last synced: 21 Jun 2025
https://github.com/aaaastark/twitter_sentiment_analysis
Twitter Sentiment Analysis
csv database machine-learning matplotlib numpy pandas python python3 sentiment-analysis sklearn tensorflow text-classification twitter twitter-sentiment-analysis
Last synced: 30 Dec 2025
https://github.com/gauravpatil04/ml
This repo is on "Basics skills required for Machine Learning"
matplotlib numpy pandas python seaborn
Last synced: 11 Jul 2025
https://github.com/edegan-furb/conwaygameoflife
This project is a simulation of Conway's Game of Life using Python with the Pygame library.
conways-game-of-life numpy pygame python
Last synced: 21 Jun 2025
https://github.com/ovsidee/psm
Fundamentals of Mathematical Simulations using Python
Last synced: 21 Jun 2025
https://github.com/himanshigautam-rgb/python_libraries
This repository contains operations in Matplotlib for data visualization, NumPy for numerical computations, and Pandas for data manipulation and analysis. These libraries work together to efficiently process, analyze, and visualize data.
matplotlib numpy pandas python3
Last synced: 21 Jun 2025
https://github.com/jeslipriya/expense-tracker
This is a smart expense tracking web app built with Flask that helps users manage and visualize their spending. It features Pandas and Numpy analysis to suggest ways to cut down on unnecessary expenses, with clean UI, graph visualizations, and secure login.
css flask-application full-stack html matplotlib numpy pandas
Last synced: 22 Jun 2025
https://github.com/theroyakash/shallow_neural_network
Design of an one hidden layer neural network using numpy only,
neural-networks numpy shallow-neural-network
Last synced: 22 Jun 2025
https://github.com/raghulrajn/machine-learning-d-r-y
This repository contains quick python scripts that are repeatedly used in EDA on dataset
data-science numpy pandas python
Last synced: 11 Jul 2025
https://github.com/bjpcjp/optimize-mktg-spend-with-lagrange
simple demo of marketing (2 channel) spend optimization
lagrange matplotlib matplotlib-pyplot numpy python scipy
Last synced: 22 Jun 2025
https://github.com/alphacrypto246/air-quality-prediction
The Air Pollution Prediction project forecasts pollution levels using the Air Quality UCI dataset, including variables like CO, NOx, temperature, and humidity. It analyzes temporal and environmental factors to predict air quality trends.
machine-learning numpy pandas scikitlearn-machine-learning sckiit-learn
Last synced: 22 Jun 2025
https://github.com/hariprasath-v/machinehack-analytics-olympiad-2022
Create a machine learning model to help an insurance company understand which claims are worth rejecting and the claims which should be accepted for reimbursement.
catboost-classifier exploratory-data-analysis logloss machinehack numpy optuna pandas python scikit-learn shap
Last synced: 22 Jun 2025
https://github.com/ljadhav25/decision-tree-random-forest-algorithm-data-science-
This repository contains an implementation of decision tree and random forest algorithms from scratch in Python. Decision trees and random forests are popular machine learning algorithms used for classification and regression tasks. The goal of this project is to provide a clear and understandable implementation of these algorithms
data-analysis data-science decision-trees machine-learning-algorithms matplotlib numpy pandas python random-forest-classifier
Last synced: 22 Jun 2025
https://github.com/chea-young/financial-statistics-practice-using-python
파이썬을 활용한 금융통계실습 정리 repository (matplotlib, numpy, pandas, seaborn) 😀
matplotlib numpy pandas seaborn yfinance
Last synced: 22 Jun 2025
https://github.com/athiyaman-m/brain-tumor-classification-using-deep-learning
• This deep learning model is developed to classify and identify different types of brain tumors, as well as determine their existence, using Convolutional Neural Networks. This is achieved through the training and testing of 3264 MRI images.
keras numpy opencv pandas sklearn tensorflow
Last synced: 30 Dec 2025
https://github.com/kotii26/randomgen
Generate random data quickly with RandomGen for PowerToys Run. Enhance your productivity with this easy-to-use tool. 🚀🌟
aes demo generator java mersenne-twister numpy philox random random-generation random-generator randomgenerator stream threefry unity unity-asset unity2d unity3d-games worldmap
Last synced: 23 Jun 2025
https://github.com/egorouv/deepmachinelearning
DML Course
deep-machine-learning numpy python pytorch sklearn
Last synced: 23 Jun 2025
https://github.com/bearddan2000/python-web-3d-matplotlib-scatter-graph
A demo of creating a 3d scatter graph.
3d graph matplotlib numpy pandas python scatter web
Last synced: 23 Jun 2025
https://github.com/andrehaguiar/curso_py-data_science-machine_learning
Ciência de Dados e Inteligência Artificial com Python e estatística.
anaconda3 data-science jupyter-notebook machine-learning matplotlib numpy pandas python scipy seaborn sklearn spyder sql sql-server statistics
Last synced: 30 Dec 2025
https://github.com/mrandolph95/grad-projects
Projects completed during my ASU grad program for Social Data Science.
beautifulsoup nltk numpy pandas regression-analysis sckiit-learn seaborn selenium
Last synced: 23 Jun 2025
https://github.com/offthetab/gans
Just testing out different GAN models
gans matplotlib numpy seaborn torch torchvision
Last synced: 12 Jul 2025
https://github.com/rtmigo/markov_walk_py
🔢 Python module that calculates probabilities for a random walk in 1-dimensional discrete state space
absorbing-markov-chains absorbing-states markov-chain mathematics numpy probability probability-theory random-walk stochastic-matrix stochastic-models
Last synced: 13 Jul 2025
https://github.com/venky-1710/superhero-recruitment
Superhero Recruitment System predicts hero selection using machine learning. Users input hero attributes through a web interface. A Random Forest model analyzes abilities, strengths, weaknesses, success rates, and missions completed. The Flask app displays results, showing if a hero is selected.
css flask html numpy pandas python scikit-learn
Last synced: 13 Jul 2025
https://github.com/kane-dylan/spamshield
SpamShield
mechine-learing numpy pandas python scikit-learn scipy streamlit
Last synced: 30 Dec 2025
https://github.com/anthippi/naive-bayes-imdb-classification
A custom Naive Bayes classifier for sentiment analysis of movie reviews from the IMDb dataset, utilizing feature selection based on Information Gain and comparing its performance with scikit-learn's BernoulliNB.
classification imdb matplotlib naive-bayes-classifier numpy pandas scikit-learn sklearn
Last synced: 13 Jul 2025
https://github.com/nagipragalathan/zk-connect
In the conventional hiring process, candidate applications are met with limited assessment, leaving the crucial task of evaluating suitability to recruiters. ZKConnect disrupts this norm by introducing a transformative approach.
css django html nextjs numpy opencv pandas python
Last synced: 30 Dec 2025
https://github.com/mugambi645/exploring-ebay-car-sales-data
Exploring ebay car sales dataset
car-sales data-analysis numpy pandas
Last synced: 14 Jul 2025
https://github.com/criscorreas/ad-prediction-classification-models
Alzheimer's Disease (AD) prediction using the OASIS-2 dataset
alzheimers-disease keras lgbmclassifier matplotlib model-classification numpy oasis-2 pylab python pytorch scipy seaborn sklearn tensorflow
Last synced: 23 Jul 2025
https://github.com/nabilshadman/multiprocessing-time-series-data-simulation
A simulation using multiprocessing to generate 10,000 time dependent samples from an initial dataset of 20 samples
multiprocessing numpy pandas scipy simulation statistics time-series
Last synced: 15 Jul 2025
https://github.com/defi0x1/facial-expression-recognition
Facial-Expression-Recognition Using CNN
cnn data-augmentation facial-expression-recognition numpy tensorflow
Last synced: 15 Jul 2025
https://github.com/pedasoft-consult/sentiment_analysis
This project involves analyzing customer reviews to classify them as positive or negative using Logistic Regression. The workflow includes text preprocessing, feature extraction, training a model, making predictions, and evaluating its performance.
Last synced: 16 Jul 2025
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: 16 Jul 2025
https://github.com/aasmirnov-webdev/data_science_projects
Сборник всех выполненных учебных проектов курса Яндекс.Практикум "Специалист по Data Science".
bert catboost data-science database lgbm mashine-learning matplotlib numpy pandas python pytorch scikit-learn scipy seaborn sql xgboost
Last synced: 30 Dec 2025
https://github.com/Udacity-MachineLearning-Internship/Support-Vector-Machine
Implementing SVM's using pandas and sklearn in python
numpy pandas sklearn support-vector-machines svm
Last synced: 17 Jul 2025
https://github.com/daniel-brai/alx-t-x-udacity-data-analytics-nanodegree
A 3-month nanodegree going through the intricacies of data analysis with Python and its various libraries such Pandas, Numpy, matplotlib, seaborn and others
matplotlib numpy pandas python3
Last synced: 17 Jul 2025
https://github.com/navindafernando/brain-tumor-detection
Brain Tumor Detection using Color Segmentation with KMeans Clustering :warning:
color-segmentation erosion find-contours joblib k-means-clustering machine-learning matplotlib morphological-operation numpy opencv scikit-learn unsupervised
Last synced: 17 Jul 2025
https://github.com/rahulchouhan1/car-theft-data-in-india
This project analyzes car theft incidents in India using Python and data visualization techniques. It provides insights into theft trends, frequently stolen car models, recovery statistics, and the impact of security measures like GPS and CCTV.
matplotlib numpy pandas python
Last synced: 17 Jul 2025
https://github.com/genndy007/ad_python_labs
Analysis of Data Laboratory Works of Sikorsky KPI, 3 year 2 semester
jupyter-notebook matplotlib numpy pandas python scipy seaborn sklearn
Last synced: 09 Sep 2025
https://github.com/andriikot/smartmatch
Smart Match with python
docker faiss huggingface numpy ptyhon pythorch
Last synced: 30 Dec 2025
https://github.com/rayan-alam-uoit/space-x-launch-prediction-tool
A full-stack data science project analyzing SpaceX launch data using web scraping, REST APIs, SQL, interactive visualizations, and machine learning in Python to explore trends and predict launch success.
dash data-science folium jupyter-notebook machine-learning matplotlib numpy pandas plotly python seaborn sql sqlite
Last synced: 18 Jul 2025
https://github.com/marknature/codealpha-internship_python-programming
Python Programming Internship at CodeAlpha from 1st June 2025 to 30th June 2025
Last synced: 18 Jul 2025
https://github.com/riya2624/heart-disease-diagnostic-analysis
Analyzed heart disease diagnostic data through an ETL process, ensuring data accuracy and readiness for analysis using Python (Pandas, NumPy, Matplotlib, Seaborn). Conducted comprehensive exploratory data analysis (EDA) to uncover trends related to heart disease rates by gender and age. Developed interactive dashboards with Power BI and Tableau
dashboard dax-query eda machine-learning matplotlib numpy pandas python seaborn
Last synced: 19 Jul 2025
https://github.com/ayushmankumar7/siamese-network-with-one-shot-learning
Implementation of this paper - https://www.cs.cmu.edu/~rsalakhu/papers/oneshot1.pdf
Last synced: 10 Sep 2025
https://github.com/sahilmate/gesturepainter
Virtual Painting Application
gesturepainter mediapi numpy opencv virtualpaint
Last synced: 19 Jul 2025
https://github.com/arnoldchrisoduor1/potato_disease
Trained a CNN to detect the presence and the current stage of Blight disease in potatoes, WebApp in FastAPI and React
fastapi keras numpy react serving-tensors tensorflow
Last synced: 30 Dec 2025
https://github.com/noopur-phadkar/botnavigator
BotNavigator utilizes the A* (A-Star) algorithm for pathfinding, leveraging Python along with libraries such as Matplotlib and Numpy for efficient array operations and visualization. This innovative solution optimizes robotic navigation within warehouse environments, enhancing operational efficiency and scalability.
a-star-path-finding matplotlib numpy pathfinding-algorithms python robotics
Last synced: 19 Jul 2025
https://github.com/prateekrajsrivastav/ml-intern-iris-flowers-classification
TASK : 2 Iris Flowers Classification : "Predict the different species of flowers on the length of there petals and sepals only Jupyter notebook code."
machine-learning matplotlib numpy python scikitlearn-machine-learning seaborn
Last synced: 19 Jul 2025
https://github.com/islamshahil/neuralnetworks
Hello World to Neural Network.
deeplearning neural-network numpy python
Last synced: 21 Mar 2025
https://github.com/shortthirdman/predictorxvault-cookbook
Master Machine Learning: A Collection of Classification & Regression Algorithms in Action
classification-algorithm jupyter-notebook jupyterlab keras matplotlib numpy pandas python python3 pytorch regression regression-models tensorflow
Last synced: 13 Mar 2025
https://github.com/mahendra077/knn-iris
knn-classifier ml numpy pandas scikit-learn seaborn
Last synced: 23 Jun 2025
https://github.com/ibrahimhabibeg/multimedia-project
Turn images monochrome and create transition between two images
canvas image-processing multimedia numpy pillow python react typescript vite
Last synced: 30 Dec 2025
https://github.com/nishi1612/knight-tour-problem
IT485 Logic of Inference Project on Knight's Tour. A hamiltonian path problem to determine path of knight to travel entire chessboard with every cell visited only once.
backtracking-algorithm bootstrap flask html knights-tour localhost numpy pygame python tkinter warnsdorff
Last synced: 30 Dec 2025
https://github.com/ahmedabdalkreem/diabetes
Complete project of people that have diabetes and show what features that explain that person be sick.
bagging-ensemble classification descision-tree ensemble logistic-regression matplotlib numpy pandas python3 sklearn svm voting-classifier
Last synced: 30 Dec 2025
https://github.com/ompreetham/signs-of-ageing
Verzeo's Major Project - Signs of Ageing
ageing argparse artificial-intelligence cv2 dataset google-colab jupyter-notebook keras learning machine machine-learning major-project matplotlib numpy os python signs signs-of-ageing tensorflow verzeo
Last synced: 30 Dec 2025
https://github.com/imdeepmind/knn_from_scratch
KNN classifier in pure Numpy and Python
knn knn-classification machine-learning numpy python
Last synced: 30 Dec 2025
https://github.com/swarnabhaghosh/house-price-prediction-model
Built an end-to-end regression pipeline to predict house prices using Linear Regression with automated preprocessing (PowerTransform, StandardScaling) via Scikit-learn's Pipeline and ColumnTransformer.
column-transformer linear-regression matplotlib-pyplot numpy pandas pipeline python scikit-learn seaborn
Last synced: 30 Dec 2025
https://github.com/sandyg6/breast-cancer-classification
Building a Breast cancer classification model using Random Forest Classifier and deploying it to a web application using Flask framework
flask html-css-javascript numpy pandas python random-forest-classifier
Last synced: 30 Dec 2025
https://github.com/maliksaqib786/codealpha_projectname
IRIS CLASSIFICATION | Internship Project at Code Alpha
data-science logistic-regression machine-learning matplotlib numpy pandas python scikit-learn seaborn
Last synced: 30 Dec 2025
https://github.com/dhanas3kar/python-libraries
Practice codes using Python libraries like NumPy, SciPy, Matplotlib, Pandas, and others. Covers basics, examples, and simple exercises for learning data handling, numerical computing, and visualization.
coding-excersise data-analytics-project data-v matplotlib numpy pandas practice python python-libraries scipy
Last synced: 30 Dec 2025
https://github.com/priyankapriyadarshini50/autos_data_analysis
Data Analysis of auto dataset
matplotlib numpy pandas psycopg2 scikit-learn scipy seaborn
Last synced: 30 Dec 2025
https://github.com/davityak03/basics-of-python-
In this we have done multiple programs in python so as to develop the basic skill sets in python
array dictionary lists matrix numpy pandas programming python sets
Last synced: 30 Dec 2025
https://github.com/poziloi/-math-
Системы компьютерной математики, задания
jupyter-notebook math matplotlib numpy pandas python scipy seaborn
Last synced: 30 Dec 2025
https://github.com/hotequil/computer-vision
Study about computer vision.
jupyter-notebook matplotlib numpy python scikit-learn
Last synced: 27 Mar 2025
https://github.com/bishopce16/movies-etl
The goal of this project was to create an automated pipeline for a company Amazing Prime that is hosting a hackathon.
json numpy pandas pgadmin4 psycopg2 python regular-expressions sql sqlalchemy time
Last synced: 30 Dec 2025
https://github.com/beyzabasarir/northwind-traders-analysis
Northwind dataset analysis using PostgreSQL, Python, and Power BI. Focused on sales, customers, shipping, and performance insights.
dashboard data-analysis data-visualization jupyter-notebook matplotlib numpy pandas postgresql powerbi python seaborn
Last synced: 30 Dec 2025
https://github.com/gnikit/fileio
A template allowing to read multiple columns of tab or space delimited files. Similar functionality to numpy.loadtxt()
Last synced: 27 Mar 2025
https://github.com/saivarun2611/potato_disease_classifier
This project is a Potato Disease Classifier that uses a Convolutional Neural Network (CNN) to classify potato leaves as healthy, suffering from early blight, or late blight. The model helps in early detection of diseases, which can be crucial in maintaining crop health and yield.
cnn keras matplotlib numpy pandas python3 tensorflow
Last synced: 23 Feb 2025
https://github.com/muralikrishna-cec/mca-s3
MCA SEMESTER 3 PROGRAMS
android-application android-studio java jupyter-notebook ml numpy python
Last synced: 30 Dec 2025
https://github.com/tharushi11/titanic-data-analysis
This repository contains a simple prediction model and survival predictions based on the Titanic dataset from Kaggle, along with detailed visualizations using Power BI.
dax machine-learning numpy pandas powerbi sklearn titanic-survival-prediction visualization
Last synced: 27 Mar 2025
https://github.com/danish-jamil-01/image-dehazer
Remove the haze from the image using dark channel prior and guided filter
dark-channel-prior guided-filter guided-filtering ndimage numpy open-cv opencv opencv-python pillow python scipy skimage tkinter
Last synced: 30 Dec 2025
https://github.com/redinfinitypro/ai_projects
Rating (7/10) The code is a chatbot that interacts with users based on article content. However, issues include incorrect sorting, typos, incorrect indentation, and lack of explanations for each part, potentially affecting the bot's robustness and understanding of context.
newspaper nltk numpy python random sklearn string warnings
Last synced: 20 Jul 2025
https://github.com/shefreenkaur/web-scraping-and-word-frequencies
This project analyzes word frequencies in BC Legislative documents using Stanford CoreNLP and Python. The program extracts text from PDF documents, processes it using natural language processing techniques, and generates a comprehensive word frequency analysis.
analytics chromedriver easyocr nlp numpy pandas pymupdf python selenium stanfordcorenlp webscraping wordfrequency
Last synced: 28 Mar 2025
https://github.com/asier-ortiz/ai-course-notebooks
AI course Notebooks and Exercises
keras matplotlib numpy pandas python seaborn skit-learn tensorflow
Last synced: 28 Mar 2025
https://github.com/9bow/deep-learning-from-scratch
examples in the book
book deeplearning example-code jupyter-notebook numpy python3
Last synced: 05 Apr 2025
https://github.com/abidhasanrafi/pharma-sales-analytics
A Streamlit-powered web application for analyzing pharmaceutical sales performance across teams, products, and territories.
matplotlib numpy pandas plotly sales-analysis scikit-learn seaborn streamlit
Last synced: 30 Dec 2025
https://github.com/shshojaei/python-tutorial
Python tutorials
jupyter-notebook matplotlib numpy pandas programming-t python python-tutorial scipy seaborn tutorial
Last synced: 30 Dec 2025