NumPy | Ecosyste.ms: Awesome

https://github.com/voidkeishi/computational-science

This repository contains implementations of algorithms from the course "Computational Science" at HUST

computational-science numpy python

Last synced: 02 May 2026

https://github.com/krook1024-uni-archive/kmeans

kmeans implementation for a university course

kmeans kmeans-clustering machine-learning numpy python

Last synced: 02 May 2026

https://github.com/andremenezesds/machine_learning_test

Testing among various Machine Learning models and parameters, in order to further study their behaviour for Classification, Regression and Clustering analysis.

classification-models clustering-models machine-learning numpy pandas regression-models sklearn

Last synced: 02 May 2026

https://github.com/hadjuse/spotify-recommendation-knn

Here is a personal project where i use KNN project to classify songs

data-science graphics interpretation knn-classification machine-learning matplotlib music numpy plotly spotify

Last synced: 03 May 2026

https://github.com/helenaden/data-science-fundamentals

This project delves into fundamental data science concepts using Python libraries like NumPy and Pandas

data-analysis datascience datasets datavisualization datawrangling heatmap numpy pandas patterns python

Last synced: 03 May 2026

https://github.com/ebrahimar/ai-voice-cloner-xtts-v2

A Streamlit web app for AI-powered voice cloning using Coqui XTTS v2. Record or upload reference voices, clone speech in multiple languages, and generate natural audio outputs.

ai-voice coqui-tts deep-learning json multilingual-tts numpy pydub python speech-synthesis streamlit text-to-speech tts-model voice-cloning xtts-v2

Last synced: 03 May 2026

https://github.com/crispengari/numpy

💎 The core concept of numpy arrays

ai artificial-intelligence datascience jupyter-notebook machine-learning numpy python

Last synced: 03 May 2026

https://github.com/shreenidhi7700/auto_price_prediction

We are required to use Machine Learning algorithms to predict the price of cars with the available independent variables such as Horsepower, no-of-cylinders, engine-type, city_mpg, highway_mpg etc.

decision-tree-regression ensemble knn-regression linear-regression machine-learning-algorithms matplotlib-pyplot numpy pandas python3 random-forest-regression regression seaborn xgboost-regression

Last synced: 04 May 2026

https://github.com/furk4nbulut/uygulamalarla-makine-ogrenmesi-ve-derin-ogrenme-atolyesi

Bu repository, Manisa'da gerçekleştirilen BTK Akademi Uygulamalı Makine Öğrenmesi ve Derin Öğrenme Atölyesi'ne ait eğitim sürecini kapsamaktadır. Atölyede katılımcılar, ileri düzey makine öğrenmesi ve derin öğrenme teknikleriyle ilgili teorik ve pratik bilgiler edinmektedir.

matplotlib numpy pandas scikit-learn seaborn

Last synced: 03 May 2026

https://github.com/jonad/finding_donors

Predicting income with UCI Census Income Dataset using supervised machine learning algorithms

numpy pandas scikit-learn scikitlearn-machine-learning

Last synced: 03 May 2026

https://github.com/veranyagaka/python

Everything Python

matplotlib mysql numpy oop-in-python pandasql python

Last synced: 03 May 2026

https://github.com/ankitgmishra/machinelearning

Continuously deep diving in understanding & advancing my expertise in Machine Learning through ongoing education and hands on experience with practical learning.

artificial-intelligence data-analysis data-cleaning data-gathering machine-learning machinel-learning-algorithms matplotlib numpy pandas python seaborn

Last synced: 03 May 2026

https://github.com/coderooz/handwritten_digit_recognition

This project uses a Convolutional Neural Network (CNN) to recognize handwritten digits from the MNIST dataset. The model is built using TensorFlow and Keras.

colab handwritten-digit-recognition image-classification matplotlib neural-network numpy python tensorflow

Last synced: 03 May 2026

https://github.com/joao-inacio/numpy-essencial-para-desenvolvedores-python

O curso foi elaborado para desenvolvedores Python que desejam explorar os recursos poderosos da biblioteca NumPy. Através de aulas práticas, eu vou adquirir as habilidades necessárias para trabalhar com arrays multidimensionais, realizar cálculos científicos complexos e manipular dados com eficiência.

array array-manipulations array-methods jupyter-notebook numpy python python3

Last synced: 03 May 2026

https://github.com/akashparley/ipl-data-analysis

The IPL Data Analysis project focuses on extracting valuable insights from IPL match data using various data analytics techniques. By analyzing historical match outcomes, player performances, team comparisons, and venue statistics, the project visualizes trends and patterns through graphs like bar charts, line graphs, and scatter plots.

analytics data-visualization excel metplotlib numpy pandas python seaborn tableau-dashboards

Last synced: 04 May 2026

https://github.com/egorumaev/2024-ab-tests-metrics

Анализ соответствия размера выборки и плановых значений метрик A/B-теста

latex monte-carlo-method numpy pandas statmodels

Last synced: 04 May 2026

https://github.com/ola-kaznowska/median-statistic

A program that calculates the median statistic. Program written in Python 3.13.1 with NumPy library during Machine Learning course.

mathematics numpy python python3

Last synced: 04 May 2026

https://github.com/abhijais4896/belarus-car-price-prediction

Belarus-car-price-prediction

data-analysis datacleaning macine-learning numpy pandas python

Last synced: 04 May 2026

https://github.com/cheese23456/ai-based_stock_analysis_and_portfolio_optimisation

📈 Analyze stocks and optimize portfolios with AI-driven insights, technical indicators, and clear investment signals for informed decision-making.

ai asset-allocation financial-analysis huggingface-spaces numpy pandas portfolio-optimisation python scipy-optimize streamlit

Last synced: 04 May 2026

https://github.com/mohammadmahdi-abdolhosseini/data-analysis-and-ai-courses

Artificial Intelligence + Engineering Probability & Statistics courses projects

classification data-visualization genetic-algorithm jupyter-notebook machine-learning matplotlib minmax-alpha-beta-pruning neural-network numpy pandas python

Last synced: 04 May 2026

https://github.com/charlenry/machine_learning_estimer_prix_voiture

Projet de Machine Learning pour estimer le prix d'une voiture d'occasion via une application

joblib jupyter-notebook matplotlib-pyplot numpy oop-python pandas plotly-express python sklearn-linear-model sklearn-linear-regression

Last synced: 04 May 2026

https://github.com/hyperplasma/olympic-visualization-analysis

Multidimensional analysis and visualization of Olympic medals, economy, and happiness index.

data-analysis data-visualization matplotlib numpy pandas python wordcloud

Last synced: 04 May 2026

https://github.com/saifalibaig/crop-yield-prediction

🌾 A machine learning-based crop production prediction system using historical Indian agricultural data with advanced regression models and hyperparameter tuning.

eda feature-encoding feature-selection kaggle-dataset lasso-regression linear-regression matplotlib-pyplot numpy onehot-encoding pandas python3 ridge-regression seaborn simpleimputer xgboost-regression

Last synced: 04 May 2026

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

As a newly hired AI Engineer, your task is to predict customer behavior based on various features such as age, income, and gender. This exercise involves cleaning the data, training a decision tree model, and evaluating the model's performance to understand the key factors influencing customer purchasing decisions.

machine-learning matplotlib numpy pandas python seaborn sklearn

Last synced: 04 May 2026

https://github.com/anas436/house-sale-prices-prediction-using-python

jupyter-notebook linear-models linear-regression matplotlib model-selection numpy pandas polynomial-features python3 ridge seaborn sklearn-pipeline standardscaler

Last synced: 04 May 2026

https://github.com/rtgrt5645/numpy-lab

🧮 Explore, manipulate, and visualize data with NumPy to enhance your Python skills in scientific computing and data analysis.

array-operations data-analysis data-science jupyter-notebook machine-learning numerical-computing numpy numpy-arrays numpy-library numpy-python python python3 scientific-computing

Last synced: 04 May 2026

https://github.com/aqueeqazam/machine-learning-using-scikit

This repository contains all of the algorithms used to train the machine learning models using the Scikit library.

numpy scikit-learn

Last synced: 04 May 2026

https://github.com/siddhantborse/atmosviz

Atmos Viz is a Python-based project designed to analyze, visualize, and predict global temperature trends across various cities and countries using time-series analysis and advanced data science techniques. Leveraging historical climate data, this project integrates machine learning models, geospatial mapping, and interactive visualizations to unco

geopandas geospatial-analysis gis matplotlib numpy pandas plotly python scikit-learn seaborn shapefiles time timeseries-analysis timeseries-data

Last synced: 05 May 2026

https://github.com/lin826/nanogpt-demo

Training and finetuning local GPTs.

gpt nanogpt numpy pytorch tqdm transformers

Last synced: 05 May 2026

https://github.com/vladd12/machine-learning-practice

Репозиторий для учебной практики и различных курсов, связанных с ИИ

json keras-tensorflow machine-learning numpy pandas pickle tensorflow2 torch xml

Last synced: 05 May 2026

https://github.com/tomaslopera/modelos_simulacion

jupyter-notebook matplotlib-pyplot modeling-and-simulation numpy pandas scipy seaborn

Last synced: 05 May 2026

https://github.com/sahu-sakshi/covid-19

A comprehensive data analysis project for COVID-19 pandemic data, featuring automated data collection, feature engineering, visualization tools, and exploratory analysis notebooks.

jupyter numpy pandas python3

Last synced: 05 May 2026

https://github.com/farial-mahmod/nuclear-energy-generation-prediction-logistic-regression

Nuclear Energy Generation Prediction Logistic Regression project is aimed at predicting the nuclear energy generation based on the production (generation) data from 1991 to 2023 by using Logistic Regression.

energy kaggle logistic-regression machine-learning matplotlib nuclear-energy nuclear-power numpy power python3 sklearn

Last synced: 05 May 2026

https://github.com/smit-joshi814/mlp

Machine Learning Using Python

classification decision-trees k-means-clustering knn machine-learning machine-learning-models matplotlib numpy pandas regression seaborn svm

Last synced: 05 May 2026

https://github.com/zafir100100/cancer-stage-prediction

This code predicts cancer data using various regression models, calculates their average R-squared scores, and prints the best model.

cross-validation data-analysis data-preprocessing decision-trees gradient-boosting linear-regression machine-learning-algorithms numpy pandas random-forest regression scikit-learn

Last synced: 05 May 2026

https://github.com/cicku/en.650.672

HW of EN.650.672

analytics data-analysis numpy pandas

Last synced: 05 May 2026

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: 05 May 2026

https://github.com/patilsukanya/house-price-prediction

Libraries Used

matplotlib numpy pandas scikit-learn seaborn

Last synced: 05 May 2026

https://github.com/chdl17/marvelvsdc

This GitHub repository contains Python and Tableau for analyzing Marvel Vs DC superheros.

excel jupyter-notebook numpy pandas python tableau-public

Last synced: 05 May 2026

https://github.com/anushkundu/crime-pattern-analysis

Analyzing Crime Patterns in Montgomery County, USA: An Inclusive Study Based on NIBRS Data (2016-2022)

data-analysis data-visualization descriptive-statistics matplotlib numpy pandas python seaborn

Last synced: 05 May 2026

https://github.com/fayzi-dev/salary_predict_app_by_streamlit

Salary predict App by Streamlit

numpy pandas pypickle streamlit streamlit-webapp

Last synced: 05 May 2026

https://github.com/pramodyasahan/cifar-10-object-recognition

This repository contains a TensorFlow-based image classification model designed to classify images from the CIFAR-10 dataset. The CIFAR-10 dataset comprises 60,000 32x32 color images in 10 classes, with 6,000 images per class.

convolutional-neural-networks numpy python tensorflow

Last synced: 05 May 2026

https://github.com/aathira2001/python-basics

Basic Python concepts with examples

functions numpy pandas python variables

Last synced: 05 May 2026

https://github.com/muthupillai1204/diwali_sales_analysis

The Diwali sales analysis reviews past data to identify trends, peak buying times, popular products, and customer demographics. It assesses sales volume, revenue growth, and promotional effectiveness, helping businesses optimize marketing and inventory for future seasons.

data datacleaning eda excel jupyter-notebook matlplotlib numpy pandas python seaborn visualization

Last synced: 05 May 2026

https://github.com/dulajkavinda/fashion-classification

👗 classify fashion items using machine learning

added machinelearning matplotlib numpy pandas python scikit

Last synced: 05 May 2026

https://github.com/ayushdutta-ai/face-recognition-model

A custom face recognition model built from scratch using Python, OpenCV, Pillow, and Face libraries, utilizing LBPH for efficient facial feature extraction and accurate identification.

face haar-cascade lbph-face-recognizer numpy opencv pillow

Last synced: 05 May 2026

https://github.com/supernovasatsangi23/modifying-biomarker-gene-identification-for-effective-cancer-categorization

A project that focuses on implementing a hybrid approach that modifies the identification of biomarker genes for better categorization of cancer. The methodology is a fusion of MRMR filter method for feature selection, steady state genetic algorithm and a MLP classifier.

dataset deep-learning deep-neural-networks feature-selection genetic-algorithm machine-learning machine-learning-algorithms mlp-classifier mrmr neural-network numpy pandas-dataframe python python3 scikit-learn scikit-learn-python tkinter-gui tkinter-python

Last synced: 05 May 2026

https://github.com/hms75/movie_rating_analysis

A movie rating analysis which identifies trends amongst a dataset of 5000 movies.

data-analysis data-visualization matplotlib-pyplot numpy pandas python

Last synced: 05 May 2026

https://github.com/romanectatyana/fuel_norm

Practical data analytics case: calculating and optimizing fuel consumption norms for vehicles and heavy equipment. (Аналітичний проєкт із визначення норм витрат палива для автотранспорту та спецтехніки.)

matplotlib numpy pandas plotly power-bi

Last synced: 06 May 2026

https://github.com/shwetapardhi/assignment-1-q9_b--basic-statistics-level-1

Q9) Calculate Skewness, Kurtosis & draw inferences on the following data SP and Weight(WT) Use Q9_b.csv

kurtosis matplotlib-pyplot numpy pandas python seaborn skewness

Last synced: 06 May 2026

https://github.com/kashinathbiradar/bangalore-housing-price-prediction

The objective of the project is to create a machine learning model. We are doing a supervised learning and our aim is to do predictive analysis to predict housing price.

css deta doc html machine-learning matplotlib numpy pandas preprocessing seaborn sklearn sql

Last synced: 06 May 2026

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

Implementing a simple neural network using only Numpy.

deep-learning neural-network notebook numpy scratch-implementation

Last synced: 06 May 2026

https://github.com/skorupcia/winequality-white

winequality-white.csv visualization

matplotlib numpy pandas seaborn sklearn

Last synced: 06 May 2026

https://github.com/sankaran-s2001/us-traffic-accidents-analysis-python-eda

Exploratory data analysis of US traffic accidents from 2016-2023, analyzing patterns by time, location, weather, and severity using Python data science libraries.

data-analysis data-science data-visualization eda matplolib numpy pandas python

Last synced: 06 May 2026

https://github.com/5hraddha/optimize-oil-well-locations

In the quest for harnessing valuable energy resources, the OilyGiant mining company wants to expand its operations by discovering new oil well locations. To achieve this, a data-driven approach is adopted, leveraging geological exploration data from three distinct regions and employing techniques in data analysis and modeling.

linear-regression numpy pandas scikit-learn supervised-learning

Last synced: 06 May 2026

https://github.com/chopikus/raytracing-bench

Benchmarking ray tracers in Python, Java, Numpy, Cupy, Pypy

cupy java numpy pypy python raytracing

Last synced: 06 May 2026

https://github.com/deanlogan/data-analysis-course

Code created when completing the Data Analysis with Python Course on freecodecamp.org

course data-analysis numpy pandas python python3

Last synced: 06 May 2026

https://github.com/cycle-sync-ai/student-score-analysis

A data-driven student performance analysis project using UCI dataset (396 students, 33 features). Implements machine learning models (K-means, PCA, Decision Tree, Random Forest, Linear Regression) to analyze academic patterns and predict student scores based on lifestyle, health, and study habits.

clustering clustering-algorithm decision-trees feature-engineering learning-management-system linear-regression machine-learning machine-learning-algorithms matplotlib numpy pandas pca pickle prediction prediction-algorithm scikit-learn score seaborn student

Last synced: 06 May 2026

https://github.com/christiansassi/signal-image-and-video-project

Project developed by Pietro Bologna (@bolognapietro) and Christian Sassi for the Signal, Image and Video course.

image-processing mri-segmentation numpy opencv python

Last synced: 06 May 2026

https://github.com/swapnilvishwakarma/twitter_sentiment_dashboard

Using Streamlit and Python, I created interactive data dashboards and used Pandas to manipulate data in data science workflows. I also used Plotly to create interactive graphs.

dashboard machine-learning matplotlib numpy pandas plotly sentiment-analysis streamlit-webapp webapp wordcloud

Last synced: 06 May 2026

https://github.com/ananyachibber21/automation-python-projects

Automation with Python (Second Year Projects)

automation chromedriver numpy openpyxl pandas-dataframes python selenium

Last synced: 06 May 2026

https://github.com/fatihilhan42/lane-line-detection-with-python

In this project you will detect lane lines in images using Python and OpenCV. OpenCV means "Open-Source Computer Vision", which is a package that has many useful tools for analyzing images.

image-processing line-detection numpy opencv python

Last synced: 06 May 2026

https://github.com/redinfinitypro/python-finance

Rating: (8/10) The code performs a linear regression analysis on stock data using the yfinance library, importing necessary libraries, selecting stock symbols, downloading data, fitting a model, making predictions, and visualizing results.

datetime matplotlib numpy pandas random sklearn yfinance

Last synced: 06 May 2026

https://github.com/abdulrahmanaymann/data-storage-and-information-retrieval

This is a Python project that performs tokenization, stop word removal, positional indexing, phrase query searching, term frequency-inverse document frequency (TF-IDF) calculation, cosine similarity computation, and document ranking.

Last synced: 06 May 2026

https://github.com/kianaabrisham/svm-from-scratch

Linear SVM from scratch with hinge loss + decision boundaries

classification from-scratch fundamentals hinge-loss numpy optimization scikit-learn svm

Last synced: 07 May 2026

https://github.com/siddhantprateek/machine-learning-resources

Machine Learning Resources

best-practices clustering-algorithm data-analysis deep-learning in-progress journey linear-regression machine-learning machine-learning-algorithms neural-language-modelling neural-language-processing neural-network numpy python3 read reinforcement-learning-algorithms tensorflow visualisation

Last synced: 07 May 2026

https://github.com/dakshdeephere/bank_eda-practice

EDA analysis of Bank.csv dataset

analysis data data-visualization dataanalysis matplotlib numpy pandas python3 seaborn

Last synced: 07 May 2026

https://github.com/dulajkavinda/breast-cancer-detect

🧬 breast cancer classification using machine learning

added machinelearning matplotlib numpy pandas python

Last synced: 07 May 2026

https://github.com/ayushmankumar7/siamese-network-with-one-shot-learning

Implementation of this paper - https://www.cs.cmu.edu/~rsalakhu/papers/oneshot1.pdf

numpy tensorflow tf-keras

Last synced: 07 May 2026

https://github.com/mgitrov/kulo-chatbot

A retrieval based chatbot aiming to simulate human-like conversation with the user via text messages on chat.

artificial-neural-networks bag-of-words deep-learning json keras lemmatization natural-language-processing nltk numpy tkinter tokenization

Last synced: 07 May 2026

https://github.com/salvatoreamaddio/powerbi

This project combines both Python and PowerBI technologies. It cleans a dataset and imports it into a PowerBI file.

numpy pandas pandas-python powerbi python

Last synced: 07 May 2026

https://github.com/mnitin-reddy/coffee-shop-sales-analytics

This project analyzes coffee shop sales data to uncover key insights, focusing on customer behavior, product performance, and sales trends. Using Pandas, Matplotlib, and Seaborn, the analysis identifies peak sales hours, popular product categories, and opportunities for upselling or bundling.

datasceince datavisualization exploratory-data-analysis matplotlib numpy pandas python seaborn

Last synced: 07 May 2026

https://github.com/shivangmathur1/simple-qlearning

Solving gym environments using Numpy Qtables and Q-learning

gym numpy qlearning

Last synced: 07 May 2026

https://github.com/pocketfullofdata/electric-vehicles-market-size-analysis

This project analyzes the growth, adoption trends, and future projections of the electric vehicle (EV) market. Using data analysis and visualization techniques, it examines key factors like sales trends, and consumer adoption to understand the evolving landscape of the EV industry.

analysis data jupyter-notebook matplotlib numpy python seaborn vscode

Last synced: 07 May 2026

https://github.com/jaewonson37/programming_machine_learning_applications1

classification classifier matplotlib numpy pandas regression sckit-learn singular-value-decomposition td-idf

Last synced: 07 May 2026

https://github.com/christabelsakyi/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. Dataset

imblearn machine-learning nltk numpy python sklearn

Last synced: 07 May 2026

https://github.com/arnie1x/massive-dataset-lab

This project involves basic data manipulation with JSON files, focusing on tasks related to data processing of the MASSive dataset and file management.

data-science numpy pandas pandas-dataframe python3

Last synced: 07 May 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/tinaland101/carcinoma-regression-project

The goal of this project is to analyze and visualize the results of a clinical study involving the treatment of squamous cell carcinoma (SCC) in mice. As a senior data analyst, you are tasked with preparing a technical report for Pymaceuticals, Inc.

linear-regression mathplotlib numpy pandas pyhton

Last synced: 08 May 2026

https://github.com/haimgoldfisher/data_visualization_final_project

Final project of the Data Visualization course, Ariel university.

adaboost bayesian-learning catboost ensemble-learning gradient-boosting gridsearchcv matplotlib numpy pandas plotly seaborn semi-supervised-learning voting-classifier

Last synced: 08 May 2026

https://github.com/gama1903/digital_image_processing

Implementation of Basic Algorithms of Digital Image Processing mainly through Numpy.

digital-image-processing numpy opencv python

Last synced: 08 May 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/octavioduarte/datascience

A repository with study notes on Data Science concepts, NumPy, pandas, and an introduction to statistics.

data-science jupyter-notebook numpy pandas

Last synced: 08 May 2026

https://github.com/amiegirl/ford_gobike-tripdata

This data set includes information about individual rides made in a bike-sharing system covering the greater San Francisco Bay area.

jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 08 May 2026

https://github.com/egrizq/bike_analysis

Exploring the bike sharing system to find the patterns behind user behavior by weather, season, hour, and months.

data-science matplot numpy python seaborn

Last synced: 08 May 2026

https://github.com/juanpablo70/pgad-assignment01

Breast Cancer Coimbra data set analysis

data data-science dataframe dataset jupyter-notebook matplotlib numpy pandas python

Last synced: 08 May 2026

https://github.com/sunnyrao07/water-quality-analysis

A machine learning project that predicts water potability based on chemical and physical attributes, using models like Logistic Regression, Random Forest, and XGBoost.

data-cleaning label-encoding logistic-regression matplotlib model-evaluation numpy pandas pyhton random-forest sckiit-learn seaborn smote standard-scaler xgboost

Last synced: 08 May 2026

https://github.com/chdl17/credit-eda-casestudy

Credit EDA is a GitHub repository designed to provide educational materials and tools for exploring credit risk data. The repository contains notebooks, datasets, and code samples to help users learn and apply these concepts to credit data.

exploratory-data-analysis numpy pandas

Last synced: 08 May 2026

https://github.com/satvikpraveen/numpymasterpro

A hands-on, production-ready toolkit to master NumPy — from first principles to real-world applications. Includes modular Jupyter notebooks, reusable utility scripts, cheatsheets, and advanced projects like K-Means clustering from scratch.

broadcasting data-analysis data-science data-source data-visualization jupyter-notebook kmeans-clustering linear-algebra machine-learning matrix-algebra numerical-computation numpy numpy-broadcasting numpy-examples numpy-tutorial open-source python scientific-computing standardization vectorization

Last synced: 08 May 2026

https://github.com/saurabh274/aerofit-statistics-and-probability

The market research team at AeroFit wants to identify the characteristics of the target audience for each type of treadmill offered by the company, to provide a better recommendation of the treadmills to the new customers. The team decides to investigate whether there are differences across the product with respect to customer characteristics.

matplotlib-pyplot numpy pandas probability python seaborn statistics

Last synced: 08 May 2026

https://github.com/ditikrushna/identify-customer-segments

In this project, Bertelsmann partners AZ Direct and Arvato Financial Solutions have provided two datasets one with demographic information about the people of Germany, and one with that same information for customers of a mail-order sales company. I have looked at relationships between demographics features, organized the population into clusters, and saw how prevalent customers are in each of the segments obtained.

clustering clustering-algorithm numpy pca

Last synced: 08 May 2026

https://github.com/jashmit918/image-caption-generator

Image Caption Generator

image-to-text matplotlib numpy pillow python streamlit torch transformers

Last synced: 09 May 2026

https://github.com/raghavendranhp/predictive-analytics-in-automotive-manufacturing-testing-time-optimization

Explore machine learning for automotive testing optimization. Predictive analytics to reduce testing time and environmental impact.

elasticnet extratreesregressor fastica model-pipeline numpy pandas pca randomforestregressor svr-regression-prediction xgboost

Last synced: 09 May 2026

https://github.com/omogbolahan94/lego-analysis

Analysis of LEGO data from 1949 to 2021.

matplotlib merge numpy pandas

Last synced: 09 May 2026

https://github.com/dhruvv1402/x-twitter-bot-python

A Python-powered Twitter bot for content generation, analytics, and automation using Twitter API v2.

huggingface-transformers matplotlib nltk numpy pandas pillow python requests schedule textblob threading tweepy twitter-api wordcloud

Last synced: 09 May 2026

https://github.com/aliyahscoding/tiny-recommender

Tiny item-item recommender in Python using cosine similarity over a toy user–item matrix. Simple CLI to print top-N recommendations.

collaborative-filtering cosine-similarity numpy pandas python recommender-system

Last synced: 09 May 2026

https://github.com/venkat-0706/titanic-survival-prediction

A machine learning project predicting Titanic passenger survival using data preprocessing, feature engineering, and model optimization with Logistic Regression, Random Forest, and XGBoost.

classification-report confusion-matrix gridsearchcv matplotlib numpy onehot-encoder pandas sckit-learn seaborn train-test-split xgboost

Last synced: 09 May 2026

https://github.com/sivasurya681/financial-expense-tracker

The Financial Expense Tracker is a Python-based app built with Flet, Pandas, NumPy, and Matplotlib.pyplot for seamless expense management. It enables real-time tracking, categorization, and data visualization through bar and pie charts. Users can generate summaries, export/import data, and make informed financial decisions easily.

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