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: 2026-06-25 00:18:02 UTC
- JSON Representation
https://github.com/cchandre/ocdm
Optical Centrifuge for Diatomic Molecules
amo hamiltonian matplotlib molecular-mechanics numpy python3 scipy symplectic-integrators sympy
Last synced: 04 May 2026
https://github.com/himel-sarder/complete-numpy
A comprehensive guide to mastering NumPy with practical examples and applications in machine learning. Perfect for learners and developers looking to deepen their knowledge of numerical computations in Python.
data-science dataanalysis machine-learning ml numpy numpy-exercises numpy-library numpy-python numpy-tutorial pythonlibrarires
Last synced: 04 May 2026
https://github.com/md-emon-hasan/learnpython.org
A repository Python programming language, covering fundamental concepts, advanced topics, and practical applications for beginners.
exception-handling function generator lambda-functions numpy numpy-library python reduce
Last synced: 04 May 2026
https://github.com/winter000boy/my-project-portfolio
Welcome to My Project Portfolio! This repository is a comprehensive collection of my work in Java programming, Python development, Machine Learning (ML), Artificial Intelligence (AI), and Web Development. Organized for ease of access, this portfolio highlights innovative and practical projects tailored to solve real-world challenges.
ai artificial-intelligence artificial-neural-networks bootstrap data-science deep-learning flask-application java-projects machine-learning numpy pandas-python potfolio-site python-projects python3 spring-boot tkinter-gui web-development
Last synced: 05 May 2026
https://github.com/mauriciovazquezm/machinelearning_course_spring2023
Machine Learning course tasks focused on the implementation of the ML algorithms using libraries such as Numpy, Pandas, etc.
machine-learning machine-learning-algorithms numpy python r-language
Last synced: 05 May 2026
https://github.com/khaymanii/fake_news_prediction_model
This model was built using python and logistic regression algorithm
matplotlib numpy pandas python sckit-learn
Last synced: 05 May 2026
https://github.com/subh888999/-online-food-ordering-behavior-analysis-projects
This project analyzes online food ordering behavior to uncover key insights on customer preferences, restaurant performance, and factors influencing order volume. Through data-driven analysis, it aims to help optimize pricing, delivery times, and customer experience for food delivery platforms and restaurants.
matplotlib numpy pandas python seaborn statistics
Last synced: 05 May 2026
https://github.com/tritonix711/digitvision-number-predictor
"DigitVision: Number Predictor" is a deep learning project that uses a Convolutional Neural Network (CNN) to classify handwritten digits (0-9) from images. Built with Python and TensorFlow, it supports dataset preprocessing, model training, evaluation, and predictions, offering a scalable and accurate solution for digit recognition tasks.
cnn keras matplotlib numpy os pillow plt python tensorflow tkinter
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https://github.com/singh-dhruv/traffic-light-detection-and-recognition
Welcome to this repository! Here we explored the topic of traffic lights detection and its recognition for helping the Autonomous Vehicles in their interpretation of traffic lights and decision making while driving.
autonomous-driving computer-vision matplotlib-pyplot numpy python r-cnn tensorflow
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https://github.com/heshanera/paclassifier
Online Passive Aggressive Binary Classifier
binary-classifier numpy passive-aggressive python
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https://github.com/scarblase/homeless-animals-analysis
A data-driven exploration of homeless animal statistics 🐶🐱. Analyze age distribution, shelter dynamics, and adoption patterns using Python, Pandas, and Seaborn.
animals data-analysis data-mining data-science data-science-projects data-visualization matplotlib matplotlib-pyplot numpy pandas plotly python python3 ukraine
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https://github.com/khaymanii/house-price-prediction-model
This model was built using Python and XGBoost Regression algorithm
matplotlib numpy pandas python scikit-learn
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https://github.com/yc1909/ai_impact_on_jobs
Impact of Artificial Intelligence on Jobs and Workplace-Analysis
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https://github.com/khaymanii/customer_segmentation_model
This model was built using Python and KMeans Clustering algorithm
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https://github.com/an4pdm/exercicios-de-numpy
Repositório com exercícios básicos de Numpy para praticar.
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https://github.com/abhishek010397/logisticregression
Using Logistic Regression Classifier to Predict Target Using Three Features
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https://github.com/gehad-ahmed30/data-analysis
This repository offers a guide to data visualization with Pandas and includes practical examples and two complete projects. Learn to preprocess, analyze, and visualize datasets to solve real-world problems effectively.
analysis matplotlib numpy pandas python seaborn
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https://github.com/asut00/machine-learning-program_42ai
Comprehensive Machine Learning path by 42AI: hands-on modules on regression, gradient descent, and real-world ML applications.
linear-regression machine-learning matplotlib numpy pandas python scikit-learn
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https://github.com/ayaanjawaid/brain_stroke_prediction
project aims to predict the likelihood of a stroke based on various health parameters using machine learning models. The dataset is preprocessed, analyzed, and multiple models are trained to achieve the best prediction accuracy.
decision-trees exploratory-data-analysis matplotlib numpy pandas python regression xgboost
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https://github.com/akashash01/akash_linear-regression
This is an linear approach machine learning model used to predict the values of variable(dependent) based on other variables(independent).
anova-test autocorrelation data-science heteroscedasticity linear-regression machine-learning mape multicollinearity numpy pandas python supervised-learning
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https://github.com/yash22222/sync-intern-s-ml-tasks
SYNC INTERN'S Machine Learning internship will offer you to enhance your skills by doing real-life example projects. This internship will increase your knowledge in the field of data and algorithms to understand how a machine learns.
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Plotting using matplotlib and numpy
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https://github.com/henriqueotogami/curso-de-python3-udemy
Documentos do curso de Python 3, com arquivos das aulas, e Jupyter Notebook. Conceitos de Machine Learning.
iris-dataset jupyter-notebook linear-regression numpy pandas-python python3 udemy
Last synced: 08 May 2026
https://github.com/mohamedawnallah/covid19-dataanalysis-python
how to preprocess and merge datasets to calculate needed measures and prepare them for an Analysis. In this project, we are going to work with the COVID19 dataset, published by John Hopkins University, which consists of the data related to the cumulative number of confirmed cases, per day, in each Country. Also, we have another dataset consist of various life factors, scored by the people living in each country around the globe. We are going to merge these two datasets to see if there is any relationship between the spread of the virus in a country and how happy people are, living in that country.
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Last synced: 08 May 2026
https://github.com/oriyarden/binary-multiclassificationneuralnetworksfromscratchnumpyarraysonlypython
Neural networks for binary and multiple classification from scratch (using only numpy arrays) in Python
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https://github.com/cybergeek1943/mathflow
Like `requests` for mathematical computing, making complex math feel simple.
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https://github.com/sominw/cheatsheets
Useful cheatsheets for DS.
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https://github.com/tanu272004/-income-mortgage-housing-insights-a-state-city-analysis-
To analyze state & city housing trends and affordability using data analytics.”
bigquery business-intelligence data-analysis data-visualization dax googlecloud kpi numpy powerbi predective-modeling python sql
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https://github.com/paulo-santos-ds/analise_corrida_taxi
Este projeto tem como objetivo analisar os dados de um aplicativo fictício de caronas. Encontrar padrões nas informações disponíveis, entender as preferências dos passageiros e o impacto de fatores externos nas corridas.
math matplotlib numpy pandas python3 seaborn sql
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Explore US Bike Share Data project - FWD Data Analysis Professional Track. In this project, I used Python to explore data related to bike share systems for three major cities in the United States and answer questions about it by computing descriptive statistics.
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https://github.com/datarohit/tps-january-2022--kaggle-competition
Tabular Playground Series - Jan 2022. This Competition is Posted on Kaggle.com for practicing the EDA and Regression Skills.
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https://github.com/realamirhe/leaf-node
A leaf node for your machine learning journey, from scratch to practical applications...
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A collection of PIL, Numpy and OpenCV functions to manipulate images
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This is a Document Scanner built using Python and OpenCV. It also has Image Saving Feature. You can adjust the thresholds to find the contours better.
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Code for a Tutorial on Writing C++ Extensions for Python.
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https://github.com/sjtechdev/fastgrouper
Fast groupby-apply operations in python.
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https://github.com/ashraf-khabar/funcplot-plottingfunctionsmadeeasy
FuncPlot is a user-friendly app built with Kivy and KivyMD that allows you to easily plot and visualize mathematical functions on your desktop or mobile device. With its intuitive interface and support for multiple functions, FuncPlot makes it easy to explore and understand complex mathematical concepts.
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Last synced: 11 May 2026
https://github.com/RsGoksel/Genetic-Algorithms
A Guide to Problems and Solutions on Genetic Algorithms
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https://github.com/duoan/dl-bike-sharing-demand
ractice neural network implemented just with numpy for Kaggle Bike Sharing Demand
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https://github.com/m-aadhi/game-review-sentiment-analysis
This project aims to analyze and predict the sentiment of game reviews using natural language processing (NLP) and machine learning techniques. The objective is to determine whether a review is positive, negative, or neutral based on its content.
matplotlib numpy pandas-library python
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https://github.com/otuemre/housepricingml
A machine learning project predicting house prices using regression models. Covers data preprocessing, feature engineering, and model comparison to achieve accurate results. Developed for a Kaggle competition, focusing on effective ML workflows and model interpretability.
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https://github.com/kishanlalchoudhary/be-sem-7
BE SEM 7 Assignments
blockchain cpp design-analysis-algorithms machine-learning matplotlib numpy pandas scikit-learn seaborn
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Using keras specify-compile-fit- predict workflow on this binary classification problem to investigate if i'll get better predictions.
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https://github.com/aaaastark/life_expectancy_predication
Life_Expectancy_Predication
dataframe machine-learning matplotlib numpy pandas python sklearn tensorflow
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https://github.com/knightkun77/image_classification_project
Image Classification Using Python
keras machine-learning matplotlib numpy opencv python tensorflow tikinter
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https://github.com/mlicamele/neural-network
Project focused on exploring the computations behind neural networks by building one from scratch with only numpy and testing it with the MNIST dataset.
gradient-descent matrix-computations neural-networks numpy python
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https://github.com/hifly81/photox
photo and album organizer for gtk3
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https://github.com/aleksandarbuk/machine-learning
The Machine Learning Library repository provides a collection of scripts and tools leveraging Scikit-Learn, Pandas, and NumPy for various machine learning tasks and data analysis.
matplotlib numpy python scikit-learn tensorflow
Last synced: 16 Apr 2026
https://github.com/anubhavkumar31/simple-heart_disease_prediction-using-logisticregression
Its a simple yet good model which predicts if a person have heart disease or not. This is a binary classification model i.e its output is either 0(dont have heart disease) or 1 (have heart disease).
logistic-regression machine-learning numpy python sklearn sklearn-linear-model sklearn-metrics
Last synced: 10 Apr 2026
https://github.com/bhushan148/ipl-stats-analysis
This project explores IPL data to show team and player performances. 📈 Key highlights include analyzing match results, highest scores, and performance at different venues. 🏟️ It uses charts to reveal trends like win margins and average scores by venue. 📉 Discover important insights into what affects match outcomes and team success.
jupyter-notebook markdown matplotlib-pyplot numpy pandas python seaborn
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https://github.com/rizkyrajitha/ann_101
A really simple neural network for binary classification written from scratch using python
Last synced: 08 May 2026
https://github.com/riju18/from-data-production-to-client-handover
The common tedious problem is to build a data app to demonstrate the data analysis & analytics along with Machine Learning to a client. It was an attempt to do it on small scale in the most powerful & simplest way.
machine-learning matplotlib numpy pandas plotly python seaborn streamlit
Last synced: 30 Apr 2026
https://github.com/fabricioarendtorres/streamauc
Light-weight package for classification metrics computed on streams or minibatches of data. Mainly for area under the curve (AUC) of precision-recall (PR) or receiver operating characteristic (ROC) curves. Supports multi-class setting with either macro- or micro aggregation..
classification-model machine-learning metrics numpy precision-recall-curve receiver-operating-characteristic
Last synced: 06 Jan 2026
https://github.com/nadahamdy217/movies-data-etl-using-python-gcp
Developed a comprehensive ETL pipeline for movie data using Python, Docker, and a GCP Pub/Sub emulator. Successfully processed and published the data in a local Docker environment, showcasing advanced data engineering skills.
analytics data data-engineering data-ingestion data-preparation data-preprocessing data-processing data-project docker etl etl-pipeline gcp matplotlib matplotlib-pyplot numpy pandas pubsub python scipy seaborn
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https://github.com/zombietdv/hm_gpt_v1.0
Homemade GPT( not that good ).
attention-mechanism backpropagation deep-learning numpy
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https://github.com/jakubfr4czek/apartment-prices-analysis
This repository contains an analysis of apartments prices in Krakow. It was made for "Rachunek prawdopodobieństwa i statystyka" (probability and statistics) course i took at AGH University of Science.
agh agh-wi analysis csv jupyter jupyter-notebook krakow numpy pandas price-analysis price-prediction probability probability-statistics python statistics statistics-learning
Last synced: 04 May 2026
https://github.com/djdhairya/breast-cancer-prediction
accuracy aiml machine-learning mean numpy pandas pkl prediction python streamlit
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https://github.com/hellymodikalpesh/numpy
This repository is designed as a comprehensive resource for learning the NumPy library. It covers nearly all functions and features of NumPy, providing a thorough exploration of its capabilities for numerical computing and data analysis.
Last synced: 28 Jan 2026
https://github.com/pradeep31747/smartsuggest-personalized_product_recommendations
This project implements a personalized product recommendation system using machine learning techniques to enhance user experience and drive engagement.
jupyter-notebook keras numpy pandas pyhton scikit-learn sql tensorflow vscode
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https://github.com/shreshthvashisht/bank-loan-case-study
Risk Analytics using Python
data-cleaning data-imputation data-normalization data-standardization exploratory-data-analysis jupyter-notebook loan-analytics loan-default-prediction matplotlib-pyplot numpy pandas python-data-analysis python-data-science risk-analysis seaborn-plots
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https://github.com/armahdavi/mlops
Productionizing ML Models using a variety of tools including FastAPI, Flask, Doocker, AWS, GCP, TensorFlow Extended (TFX), and TF.js.
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https://github.com/afnanenayet/kaggle-titanic
The classic Kaggle Titanic data science challenge
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My personal plot scripts used to generate graphs for my PhD Thesis
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Utilize understanding of data visualization to analyze and plot data about GDP and life expectancy
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A Neural Network framework for building Multi-layer Perceptron model.
artificial-intelligence artificial-neural-networks deep-learning framework machine-learning machine-learning-algorithms neural-network neural-networks numpy python3
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This Python Notebook analyzes emergency call data from the '911.csv' dataset. It uses various data visualization techniques to explore and gain insights into the emergency call data, including the types of calls, reasons for calls, and call patterns over time.
data-analysis data-science data-visualization eda exploratory-data-analysis exploratory-data-visualizations numpy pandas python
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The Super Store Analysis project leverages Python libraries such as pandas, matplotlib, and numpy to perform a comprehensive analysis of a retail store's data. This project includes data cleaning, visualization, and statistical analysis to identify key trends, optimize inventory, enhance decision-making processes for improved business performance.
data-analysis matplotlib numpy pandas python super-store
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https://github.com/sumitkundu102022/ecobuddy
EcoBuddy: Personalized Carbon Footprint Tracker
bcrypt numpy pandas plotly pymongo python-dotenv requests streamlit
Last synced: 12 Apr 2026
https://github.com/aneeshmurali-n/python-tasks
Here we are going to learn data science and python by doing tasks by task
data-science data-visualization exploratory-data-analysis filter lambda lambda-functions map-reduce matplotlib numpy oops-in-python pandas python python-fundamentals regex regular-expression
Last synced: 12 Apr 2026
https://github.com/arrmansa/leetcode-nice-solutions
Some solutions for leetcode problems that I found fun - either the algorithm or using numpy bruteforce where it shouldn't be
leetcode leetcode-python leetcode-python3 leetcode-solutions numpy python python3
Last synced: 16 Mar 2025
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/rohitinu6/image_cartoonify
To Cartoonify an Image using opencv-python
image-processing matplotlib numpy opencv opencv-python python
Last synced: 12 Apr 2026
https://github.com/khushi130404/catnet
CatNet is a simple machine learning project that classifies images as either a cat or not a cat using logistic regression. The dataset consists of labeled images of cats and non-cats, preprocessed and used to train a binary classification model.
h5py matplotlib numpy pillow scipy
Last synced: 12 Apr 2026
https://github.com/harmanveer2546/heart
Predicting the presence of heart disease based on several health-related factors and Performing - i.) Data Cleaning ii.) Data Pre-Processing iii.) EDA iv.) Compare 5 different classification algorithms (Logistic Regression, Decision Tree, Random Forest, KNN and SVC)
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Last synced: 03 May 2026
https://github.com/darshan12345678910/loan_predict-logisticregression-ml-algorithms
implementation of LogisticRegression
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Linear Regression concepts and intuitions presented using Jupyter Notebooks
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https://github.com/alejandro945/insurance-risk
This project aims to predict the risk of insurance claims using a dataset from Kaggle. The dataset consists of 26 columns and 205 rows, providing various features related to insurance risk. By analyzing this data, we seek to build predictive models that can help insurers assess the risk of claims.
data-analytics ipython-notebook numpy pandas python
Last synced: 06 Feb 2026
https://github.com/jaybfn/single-molecule-electrophysiology-data-analysis
Pynanopore serves as a sophisticated toolkit for analyzing single molecules, designed to interpret complex states within nanopore data automatically.
docker numpy pandas plotly pytest python3 streamlit streamlit-webapp
Last synced: 28 Jan 2026
https://github.com/andres29ac/website_heatmaprisk
Mapa hecho con Streamlit y Folium para mostrar la distribución delictiva de cada distrito de Trujillo mediante Mapas de Calor.
folium-maps heatmap-visualization numpy pandas ploty python stadistics streamlit
Last synced: 15 Apr 2026
https://github.com/sa001gar/password-manager-on-the-top-of-streamlit
Secure Password Manager is a Python-based application developed by Sagar Kundu, designed to provide users with a secure and convenient way to manage their passwords. With features like user authentication, password generation, and secure storage using bcrypt and MongoDB, it ensures the safety of sensitive information while offering an intuitive use
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https://github.com/subh888999/car-prices--analysis-projects
This repository houses projects focused on data collection, assessment, cleaning, visualization, and analysis. It includes workflows and methodologies for handling data, from initial gathering and evaluation to processing, visualizing insights, and performing in-depth analysis
jupyter-notebook matplotlib numpy panda seaborn statistics
Last synced: 03 May 2026
https://github.com/kunalshelke90/students_marks_prediction_in_exams
Students Performance Evaluation using Feature Engineering, Feature Extraction, Manipulation of Data, Data Analysis, Data Visualization .Later on deployed on AWS with help of docker
dokcerfile flask githubactions machine-learning matplotlib mlops numpy pandas python seaborn
Last synced: 12 Apr 2026
https://github.com/raduldev/ml-projects
End To End Machine Learning Project guided by Krish Naik from Ineuron.
catboost dill flask-application numpy pandas python scikit-learn xgboost
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https://github.com/shreeparab1890/chat-analyzer
This project is a Data Analysis project to analyze the WhatsApp chats.
data-analysis numpy pandas python
Last synced: 12 Apr 2026