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: 2026-06-26 00:18:09 UTC
- JSON Representation
https://github.com/pnguyen215/pycelize
Pycelize is a Flask application designed for processing Excel and CSV files. It provides RESTful APIs for common data operations including extraction, normalization, mapping, SQL generation, and file binding.
excel lib numpy openpyxl pandas py-app pycelize python-service python3
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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/voorhs/ml-practice
ML algorithms implementation
aimasters lomonosov-msu machine-learning numpy python
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https://github.com/chandkund/pytorch
Foundational introduction to PyTorch, focusing on the basics of tensors, their creation, manipulation, and operations, which are essential for understanding and building deep learning models
classification computer-vision cuda-programming deep-learning loss-functions matplotlib numpy optimization pandas pyhton pytroch workflow
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
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https://github.com/waghraj1699/ipl-win-probability-predictor
Web app to predict live probability of win percentage of match
data-preprocessing machine-learning ml-algorithms numpy pandas
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https://github.com/thearnavrustagi/cepstral_analysis
audio feature extraction
cepstral-analysis feature-extraction numpy python3 scipy
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https://github.com/jonad/titanic_survival
Basic decision tree model for Titanic dataset. Predict who will survive.
jupyter-notebook matplotlib numpy pandas python3 titanic-survival-prediction
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https://github.com/suhas-005/jovian-data-analysis-course-assignment
These are my assignments for Data Analysis : Zero to Pandas course by Jovian.ai
data-analysis data-analytics numpy pandas python
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https://github.com/ashwani-199/web-scraping2023
Python Web-Scraping 2023
beautifulsoup4 django-framework numpy pandas python rest-api
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https://github.com/aicorsair/python-case-study-ab-testing-for-lunartech-homepage-cta-button
This repository contains a detailed case study on an A/B test of LunarTech's homepage CTA button, using proxy data structured similarly to the company's real data.
ab-testing click-through-rate confidence-intervals data-analysis data-analytics data-exploration data-science data-visualization hypothesis-testing matplotlib normal-distribution numpy pandas practical-significance python statistical-analysis statistical-significance z-critical z-statistic z-test
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https://github.com/theamnabb/my-ai-brain
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matplotlib numpy pandas pyhton3
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https://github.com/jonad/chicago_crime_analysis
Exploratory data analysis on Chicago Crime dataset.
jupyter-notebook matplotlib numpy pandas python3
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https://github.com/shantanudhanawade/mini-projects
Price prediction with linear regression
matplotlib-python numpy pandas scikit-learn-python
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Pythonによる画像処理基礎実験(with OpenCV)
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https://github.com/helosantosdesousa/analise-dados-titanic
Análise de dados com o dataset 'Titanic - Machine Learning from disaster'
analise-de-dados analise-exploratoria bootcamp bootcamp-project data-analysis data-girls data-science matplotlib numpy pandas python
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Exploratory data analysis on a book store dataset to uncover sales trends, popular genres, and top publishers.
data-visualization datacleaning datamanipulation eda matplotlib numpy pandas python pythonp pythonproject seaborn
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https://github.com/pointer2alvee/machine-learning-algorithms-scratch
Core Machine Learning concepts , algorithms & maths implemented completely from scratch using Python & numpy only.
machine-learning-algorithms numpy pandas probabilistic-machine-learning python statistical-models
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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
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https://github.com/krishbharadwaj5678/gestureninja
Play Fruit Ninja using just your index finger with real time gesture tracking. No mouse, no keyboard — just your webcam and smooth slicing.
automation computer-vision cvzone finger-tracking fruit-ninja game-development gamedev gesture-recognition hand-tracking mediapipe mouse mouse-control numpy opencv pyautogui python realtime virtualmouse webcam
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https://github.com/abideen-olawuwo/vg_sales
Predicting Games Sales
machine-learning matplotlib numpy pandas seaborn sklearn
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https://github.com/alekiie/streamlit-dashboard
A dashboard that utilizes the power of streamlit charts to create intuitive and easy to understand charts for data visualization.
data-visualization matplotlib numpy pandas python3 streamlit
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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: 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
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Room generator service for 2D game levels
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This mini project introduces data cleaning through ETL
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You can see yourself in real time through characters in a terminal. This project is an enhancement of another project which consists in converting an image to ASCII format, which allows, in a way, to compress it.
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https://github.com/aimin-nur/dataanalyst-cohortanalysis
Sebuah project Data Analayst untuk mengetahui bagaimana pola pembelian pelanggan dalam periode waktu tertentu (Cohort Analysis)..
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https://github.com/jpgiant/gujaratrainfallanalysis_2021
Analysis about the rainfall that occurred in the districts of Gujarat state in 2021
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Last synced: 07 May 2026
https://github.com/bettenoch/yolo_real_time_object_detector
The YOLO Real-Time Object Detector leverages the ultralytics package to provide robust object detection capabilities. This project is designed to identify and classify objects in images, video streams, and live webcam feeds with high accuracy and efficiency.
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🎬 A beginner's machine learning project whose aim is to predict the audience for films on TV in France, based on previous data provided by the CNC and Médiamétrie.
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This project involves building a recommender system using cosine similarity to measure the similarity between items or users. It leverages numerical data to provide personalized recommendations. The model focuses on extracting meaningful insights and improving decision-making processes.
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https://github.com/reddyprasade/bird-classifications-problem
Birds Classification by using Scikit-learn and Scikit-image
matplotlib numpy pandas python-3 sckiit-learn sckit-image
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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.
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https://github.com/khushi130404/k_means
This repository showcases 2D, 3D, and custom K-Means clustering models with visualizations. It includes both Jupyter notebooks and Python scripts for ease of reproducibility.
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Data Science
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https://github.com/gama1903/digital_image_processing
Implementation of Basic Algorithms of Digital Image Processing mainly through Numpy.
digital-image-processing numpy opencv python
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https://github.com/chdl17/imdb-assignment
This GitHub repository contains a project that performs an analysis of the IMDb movie rating dataset. The data is used to explore the relationships between various features and the movie rating. Visualizations are used to illustrate the results of the analysis. The code is organized into a Jupyter Notebook file and data files.
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https://github.com/afnanelhussini/biometrics
LABS for Biometrics Course
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https://github.com/alain-godo/spotify-popularity
A simple analysis and modeling for prediction of the popularity of songs on Spotify
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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
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https://github.com/niteshchawla/nc-walmart-casestudy
The Management team at Walmart Inc. wants to analyze the customer purchase behavior (specifically, purchase amount) against the customer’s gender and the various other factors to help the business make better decisions. They want to understand if the spending habits differ between male and female customers:.
central-limit-theorem confidence-intervals matplotlib-pyplot numpy pandas python scipy-stats seaborn stats
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https://github.com/harmanveer-2546/sports-bets-winning-algorithm
Sports betting is the activity of predicting sports results and placing a wager on the outcome.
adaboostclassifier ascii betting-models ensemble extratreesclassifier gradientboostingclassifier kneighborsclassifier labelencoder matplotlib mlpclassifier nfl nflstats numpy pandas plotly python seaborn sports-data string winning-algorithm
Last synced: 08 May 2026
https://github.com/rohansoni45/ipl-win-predictor
A machine learning model that predicts the outcome of IPL matches based on historical data and player performance. Built using Python and libraries like Pandas, NumPy, and scikit-learn. This project demonstrates the use of classification algorithms to predict match outcomes.
classification data-science ipl machine-learning model-evaluation numpy pandas python sklearn sports-analytics
Last synced: 08 May 2026
https://github.com/antonio-f/simple-k-nearest-neighbors
Simple K-Nearest Neighbors using partial sort
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https://github.com/alz-11/ftoc
Fahrenheit to Celsius conversion analysis, comparing accurate and approximate methods with visualizations and error analysis.
approximation celsius conversion data-visualization error-analysis fahrenheit fahrenheit-to-celsius jupyter jupyter-notebook matplotlib numpy python python-3 python3
Last synced: 08 May 2026
https://github.com/diloabininyeri/face-detect
python opencv face detect
artificial-intelligence deep-learning detection face facedetection machine-learning numpy object opencv people pyhton recognition
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https://github.com/thekartikeyamishra/data-preprocessor
A Google Colab module for interactive data preprocessing. Handles missing values, categorical encoding (One-Hot, Label), and numerical scaling (Standard, MinMax). Outputs a cleaned dataset
ipywidgets numpy pandas python scikit-learn
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https://github.com/juanpablo70/pgad-assignment01
Breast Cancer Coimbra data set analysis
data data-science dataframe dataset jupyter-notebook matplotlib numpy pandas python
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Python-проект по прогнозированию стоимости аренды квартир с помощью линейной регрессии. Практическая работа по теме: "Основы машинного обучения" дисциплины "МДК 13.01: Основы применения методов искусственного интеллекта в программировании".
apartment-price-prediction apartments-for-rent api correios-api data-analysis feature-engineering feature-enginering linear-regression linear-regression-models mlops numpy prediction-model r seaborn
Last synced: 08 May 2026
https://github.com/filnow/tinygimp
project for image processing class
gimp numpy opencv pysimplegui python3
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https://github.com/cbmira01/featureranking
A data science technique implemented in OpenCL.
data-science entropy feature-reduction machine-learning-algorithms numpy opencl pyopencl python windows-10
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https://github.com/omogbolahan94/movies-budget-revenue-analysis
Data exploration, data cleaning, data analysis and predictive analysis
dataframe linear-regression matplotlib numpy pandas seaborn statistical-analysis
Last synced: 08 May 2026
https://github.com/jayemscript/lab-to-code
A complete Python learning roadmap for scientists and researchers — covering data science, biology, chemistry, physics, and mathematics with curated libraries, tools, and resources.
bioinformatics chemistry data-science jupyter-notebook machine-learning mathematics numpy pandas physics python research roadmap scientific-computing scikit-learn
Last synced: 19 Jun 2026
https://github.com/dhruwsunita/zomato-data-analysis-project
Zomato data analysis project using Python.
data-analysis data-visualization jupyter-notebook matplotlib numpy pandas-dataframe python
Last synced: 08 May 2026
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: 08 May 2026
https://github.com/kevinmbeaulieu/machine-learning-practice
ML models & data processing utilities written from scratch as practice.
data-science machine-learning 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/williyam-m/sentiment_analysis
A Django-based Sentiment Analysis web app leveraging the power of the BERT transformer model to classify text sentiment accurately.
beautifulsoup bert django numpy pandas python torch transformers
Last synced: 20 Jun 2026
https://github.com/kkkaan/tensor-library-403-hw1
A numpy like library for tensor (gergen) operations.
deep-learning numpy python tensor
Last synced: 08 May 2026
https://github.com/nova-land/kalmanfilter-python
Kalman Filter in PyTorch and Numpy
kalman-filter numpy python pytorch
Last synced: 08 May 2026
https://github.com/amiralisajadi/image-classification-neural-network
Custom deep learning model for binary image classification. Entirely built from scratch in Python with NumPy, including all ML functions, activations, and optimizations.
deep-learning image-classification image-classification-model machine-learning neural-networks numpy
Last synced: 08 May 2026
https://github.com/diegodscamara/whisperlive
🎙️ WhisperLive: Real-time audio transcription powered by OpenAI's Whisper model. Convert live speech to text with high accuracy, supporting multiple languages and real-time processing. Perfect for accessibility, content creation, and live captioning.
ai blackhole numpy python wave whisper
Last synced: 09 May 2026
https://github.com/shingiraibhengesa/house-price-predictor
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machine-learning-models matplotlib numpy python scikit-learn seaborn
Last synced: 09 May 2026
https://github.com/aliakbar-omidi/ten-most-populous-cities-of-iran
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basemap matplotlib numpy pandas python
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
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Plant Disease Prediction with CNN - Deep Learning Project
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https://github.com/jsnevt/series_temporais
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https://github.com/sameerjain/ai-snake-game
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https://github.com/akshay-rajan/machinelearning
Introduction to Machine Learning
machine-learning machine-learning-algorithms matplotlib numpy pandas sklearn
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https://github.com/harshavardhanbommalata/knn_tutorial
K-Nearest Neighbors (KNN) is a simple yet powerful machine learning algorithm. Unlike models that learn parameters during training, KNN uses lazy learning—it stores the dataset and predicts by finding the closest neighbors, making decisions through majority voting.
machine-learning-algorithms mathematical-modelling matplotlib numpy pandas
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https://github.com/kemalcalak/developing-driverless-vehicles
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https://github.com/rishieeee/spam-email-classifier
A simple machine learning project that classifies emails as spam or ham using TF-IDF and a Multinomial Naive Bayes model. The project covers data cleaning, text preprocessing, feature extraction, model training, and evaluation. A great beginner-friendly introduction to NLP and ML workflows.
multinomial-naive-bayes numpy pandas python sckit-learn tf-idf
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/tonoy30/emotion-mask
A pytorch model for add face mask based on detected emotion.
emotion-detection numpy opencv-python python pytorch
Last synced: 09 May 2026
https://github.com/omogbolahan94/nobel-prize-winner-analysis
Data exploration, cleaning, visualization and presentation
markdown matplotlib numpy pandas plotly seaborn
Last synced: 09 May 2026
https://github.com/starlitdreams/lunar-landing
This project implements a DQN agent using PyTorch to solve the LunarLander-v2 environment from OpenAI Gym. The agent learns to control the lunar lander using experience replay and a target network, aiming to maximize rewards by landing smoothly. Uses CUDA for computation.
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Last synced: 09 May 2026
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A convenience library to convert between pure Python objects and their vectorized representations
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https://github.com/huzaifa12466/neuralnetscratch
A simple neural network implemented from scratch in Python using NumPy, trained on the Moons dataset
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Last synced: 23 Jun 2026
https://github.com/moonshallow5/food_vision_mini
A program which can detect if an image contains either a pizza, sushi or steak: Has now been deployed on Flutter :)
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Last synced: 09 May 2026
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This is a (mini) Python project, completed as part of the requirements for the Data Analysis with Python certification from freeCodeCamp.com.
Last synced: 09 May 2026
https://github.com/amr-yasser226/pagerank-power-method
Modular Python implementation of the PageRank algorithm via the power method, with discrete‑math foundations, end‑to‑end code, and experimental validation.
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https://github.com/brian-hepler-phd/kak-decomposition-qml
Cartan decomposition (SU(4)) via Lie theory and QML – exact + variational approaches for two-qubit gates.
lie-theory machine-learning numpy pennylane qml quantum-computing quantum-gate-decomposition scipy su4
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https://github.com/shaikats/python-assignment
Simulation and Modeling Lab assignments using Python, NumPy, Matplotlib, and Jupyter Notebook.
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https://github.com/nahiyanhkhan/data-processing-and-visualization
Loan Data Processing using Python's numpy and pandas libraries. For data visualization, matplotlib and seaborn are used.
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https://github.com/shanaxrules/ml-exercise-practice
Notebook for all ML exercises
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code getter and numpty operator for numpy operations
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This model was built using python and Logistic Regression Machine Learning algorithm
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Last synced: 09 May 2026
https://github.com/priyanshul28/exercise_pandas
A Pandas exercise demonstrating the loading, cleaning and reorganization of data in .xlsx or .csv files, descriptive statistics, data visualization, statistical approximation of data with the normal distribution, etc.). Libraries include Pandas, NumPy, Scipy, SymPy, MatplotLib.
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Last synced: 09 May 2026
https://github.com/chuvalniy/tulia
Contains self-implemented Machine Learning algorithms using only numpy.
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Last synced: 09 May 2026