NumPy | Ecosyste.ms: Awesome

https://github.com/trim0500/fe-stats-classifier

An experiment to create a machine learning model via PyTorch to classify select Fire Emblem unit base stat distributions.

creational-patterns data-analysis data-science data-visualization design-patterns excel jupyter jupyter-notebook matplotlib-pyplot numpy pandas python python-modules python3 pytorch singleton

Last synced: 11 Apr 2026

https://github.com/aminkhavari78/text-generation-with-lstm-recurrent-neural-networks-in-python-with-keras

use LSTM model for text generation

dropout io lstm-neural-networks numpy pandas sequence-models sys text-processing

Last synced: 20 Apr 2026

https://github.com/bagusperdanay7/fcc-da-mean-variance-standard-deviation-calculator

One of Data Analysis with Python (freecodecamp) task, created a Mean Variance Standard Deviation Calculator.

data-analysis freecodecamp-project numpy python

Last synced: 06 May 2026

https://github.com/glgl0x00/handwritten-digits-classifier-with_pytorch

cnn-classification convolutional-neural-networks matplotlib mnist-dataset numpy python3 pytorch torchvision

Last synced: 11 Jun 2025

https://github.com/dabrokarol/atmorad-py

A 3D Monte Carlo simulation for radiative transfer.

atmospheric-science monte-carlo netcdf-files numpy physics-simulation python radiative-transfer

Last synced: 28 May 2026

https://github.com/snghrsw/kikagaku-ml-learning

Pythonで単回帰分析と重回帰分析、ディープラーニングで回帰と分類

liner-regestion multiple-regression numpy pandas python scikit-learn

Last synced: 11 Apr 2026

https://github.com/nourmorsy/topic_modelling

jupyter-notebook numpy pandas python

Last synced: 11 Apr 2026

https://github.com/nirmaldeepponnada/codeclauseinternshipproject1

This project involves Customer Segmentation using K-Means clustering to group customers based on Recency, Frequency, and Monetary (RFM) analysis from the Online Retail dataset. It also performs Sentiment Analysis on Amazon Product Reviews using Natural Language Processing techniques & Logistic Regression to classify reviews as positive or negative.

kmeans logistic-regression numpy pandas python3 regular-expressions scikit-learn tf-idf-vectorizer

Last synced: 11 Apr 2026

https://github.com/jitsasmal/credit_card_transaction_and_consumer_behavior-

chart google-cloud-platform matplotlib numpy pandas python seaborn visualization

Last synced: 11 Apr 2026

https://github.com/elmezianech/email-spam-ham-classifier-nb-hard

Naive Bayes Email Classifier: An implementation of a 'hard' Naive Bayes classifier in Python to categorize emails as spam or ham. This code performs extensive data preprocessing, probability calculations, and model training for email classification using the raw Naive Bayes algorithm.

ai emails jupyter-notebook machine-learning ml naive-bayes naive-bayes-classifier numpy pandas python spam-detection spam-filtering

Last synced: 11 Apr 2026

https://github.com/pvlbzn/datascience

Learning data science 🤓

data-science numpy pandas

Last synced: 09 May 2026

https://github.com/batthulavinay/which-anime-dominates-the-world

This Kaggle notebook analyzes the global popularity of anime across different countries. Using data visualization and statistical insights, we explore which anime dominate in various regions and uncover trends in global anime consumption.

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

Last synced: 24 Mar 2025

https://github.com/aaaastark/textclassification-nlp-project

Dataset preparation, Feature Engineering, Model Building, Summary Statistics, Data Exploration by Visualizations, and Save File CSV

matplotlib nltk numpy pandas python seaborn sklearn textblob wordcloud

Last synced: 11 Apr 2026

https://github.com/lorenzorottigni/dl-lending-club

Deep Learning python bootcamp: deep learning on Lending Club dataset

deep-learning ipynb keras machine-learning numpy pandas python scikit-learn seaborn tensorflow

Last synced: 11 Apr 2026

https://github.com/jagroop2001/learning-numpy

Learning NumPy complete the exercise

numpy pandas python

Last synced: 16 May 2025

https://github.com/rishabhmathur06/synthetic-data-generation

cnn deep-learning keras machine-learning neural-networks numpy python sklearn synthet tensorflow

Last synced: 11 Apr 2026

https://github.com/pb319/california_house-price-prediction

This is going to be my first end to end ML project implementation covering all required stages taking guidence from book called "Hands On Machine Learning".

evaluation-metrics hyperparameter-tuning jupyter-notebook kfold-cross-validation machine-learning matplotlib numpy pandas python scikit-learn seaborn train-test-split

Last synced: 11 Apr 2026

https://github.com/yelypk/nasa-farm-navigators

NASA Space Apps Challenge Hackathon

fastapi javascript numpy phaser postgresql python railway

Last synced: 11 Apr 2026

https://github.com/anas436/customer-churn-prediction-using-logistic-regression-with-python

jupyterlab linear-models logistic-regression matplotlib metrics numpy pandas pylab python3 scikit-learn scipy sklearn

Last synced: 11 Apr 2026

https://github.com/moustafamohamed01/car-price-prediction

Car Price Prediction using Linear Regression A machine learning model that predicts car prices based on features like name, company, year, kilometers driven, and fuel type. Built with Linear Regression and deployed as a Streamlit web app.

data-science jupyter-notebook linear-regression machine-learning numpy pandas python sickit-learn sklearn streamlit

Last synced: 11 Apr 2026

https://github.com/nitesh648singh/chat-sentimental-analysis-

matplotlib numpy pandas seaborn

Last synced: 19 Apr 2026

https://github.com/reubenmathew/docscanner

📸 Document Scanner using an OpenCV Edge Detection Engine

flask numpy opencv python

Last synced: 11 Apr 2026

https://github.com/nauxqouh/python-for-data-science-labs

This repo contains weekly practical codes for my Python for Data Science course at university.

data-science jupyter-notebook numpy pandas python pytorch scikit-learn

Last synced: 11 Apr 2026

https://github.com/dyarleniber/hands-on-machine-learning

This repository contains code examples, exercises, and projects related to the concepts covered in the book "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 3rd Edition" by Aurélien Géron.

ai artificial-intelligence keras machine-learning matpolotlib numpy pandas scikit-learn tensorflow

Last synced: 11 Apr 2026

https://github.com/stella4444/linear-regression

learning about linear regression (currently a work in progress) ~ working with data

linear-regression machine-learning numpy scikit-learn

Last synced: 20 Jan 2026

https://github.com/coderjolly/employee-information-retrieval-system

An information retrieval system constructed using Flask to perform ETL operations while ingesting New York Payroll data and provide a frontend user interface for manipulating filters and queries.

etl flask mvc numpy pandas python sqlite3

Last synced: 11 Apr 2026

https://github.com/swagath18/personalized-recommender

faiss-vector-database gpt-4 gradio numpy openai python rag recommendation sentiment-classification transformer

Last synced: 11 Apr 2026

https://github.com/tanmay-312/pacman-game-python

"Embark on a nostalgic journey with my Python Pac-Man game! 🎮🕹️ Crafted using pygame, tcod, numpy, and enum libraries, it's a modern twist on a classic. Navigate the maze, chomp pellets, and evade ghosts in this retro-inspired adventure! 🚀👻 #PythonGameDev #PacManRevival #ClassicGaming"

enum game game-development gamedev numpy pygame pygame-games python python-3 python3 tcod

Last synced: 22 Apr 2026

https://github.com/lorenzorottigni/ml-spam-filter

Machine Learning python bootcamp: natural language processing with spam filter purposes

machine-learning npl numpy pandas python scikit-learn seaborn spam-filtering

Last synced: 11 Apr 2026

https://github.com/alphan26/breastcancerclassification

This project involves a binary classification problem where we applied PyTorch to detect breast cancer.

matplotlib numpy pandas python pytorch

Last synced: 11 Apr 2026

https://github.com/npodlozhniy/dl-tinkoff

This is a warehouse of my homeworks for master MIPT deep learning course from Tinkoff FinTech

deep-learning numpy pytorch

Last synced: 08 May 2026

https://github.com/nishantksingh0/twitter-sentiment-analysis

A ML/DL based Twitter sentiment analysis model based on Transformer based pretrained Encoding on sentence

kaggle-dataset matplotlib-pyplot nlp numpy pandas sklearn tensorflow transformer

Last synced: 11 Apr 2026

https://github.com/dane-meister/machine-learning-algos

Repository of several ML algorithms implemented for different environments and robot control vectors.

colab-notebook gymnasium jupyter-notebook machine-learning-algorithms numpy opencv pybullet python pytorch

Last synced: 11 Apr 2026

https://github.com/blacksujit/neural_network_using_numpy_and_math

Inspired from a repo . i have implemented an some ground level maths and logic . In this neural network no tensorflow , pytorch is used it is just prepared by using numpy and some logical math.

algorithmic-composition basics-of-python calculus criticalthinking innovation machine-learning maths neural-network neuralnetworkusingnumpy numpy purebasics

Last synced: 26 Aug 2025

https://github.com/aadrianleo/book-recommendation-system

Book Recommender System using the Book-Crossing dataset. Compares content-based (TF-IDF + cosine similarity) and collaborative filtering (SVD) methods for book recommendations. Includes data cleaning, EDA, and model evaluation (Precision@5, RMSE) in Python.

artificial-intelligence collaborative-filtering content-based-filtering cosine-similarity data-preprocessing jupyter jupyter-notebook machine-learning matrix-factorization numpy pandas predictive-modeling python3 recommendation-system recommender-system scikit-learn sckit-surprise

Last synced: 10 Apr 2026

https://github.com/nickklos10/league-of-legends-match-predictor

Predicting League of Legends Match Outcomes Using Logistic Regression and PyTorch.

jupyter-notebook matplotlib numpy pandas pytorch scikit-learn seaborn

Last synced: 11 Apr 2026

https://github.com/yahiazakaria445/sentiment-analysis-using-lstm

A Sentiment analysis NLP project using LSTM model

matplotlib nltk numpy pandas scikit-learn seaborn tensorflow

Last synced: 11 Apr 2026

https://github.com/alaazameldev/text-based-search-engine

Implementation of a search engine using TF-IDF and Word Embedding-based vectorization techniques for efficient document retrieval

chromadb fastapi gensim-word2vec nltk numpy precision-recall python scikit-learn tf-idf-vectorizer

Last synced: 20 Jan 2026

https://github.com/kartmaan/prime-number-analysis

Analysis notebook on prime numbers

analysis conjecture fibonacci fibonacci-numbers fibonacci-sequence math mathematics matplotlib notebook number-theory numpy polyfit prime prime-number-algorithm prime-numbers trends

Last synced: 17 May 2026

https://github.com/2100031988/programming_for_aiml_codes

All of my descriptive code are published here and is updated everyday as I learn new concepts

dataset numpy pandas pipeline python visual-studio visualization

Last synced: 28 May 2026

https://github.com/collins-kimotho/wrangle-and-analyze-project

Data Wrangling and Analysis Project: Analyzing WeRateDogs Twitter Account Data

explanatory-data-analysis exploratory-data-analysis matplotlib numpy pandas python twitter twitter-api

Last synced: 11 May 2026

https://github.com/shahzaibdev355/house-recommendation-backend

House Recommendation Backend is a Flask-based API that provides house recommendations based on user input. It includes endpoints to check the backend's functionality, fetch state data, and get personalized house recommendations based on criteria like price, property size, number of beds, number of baths, and state.

flask flask-api flask-cors numpy pandas scikit-learn tensorflow

Last synced: 05 Jan 2026

https://github.com/aleandropresta/data-science-projects

A collection of my Data Science projects

data-mining data-science data-visualization matplotlib numpy pandas python seaborn

Last synced: 26 May 2026

https://github.com/bhuvilol/objdetect_img

Object Detecttion from a image input

numpy opencv python3 pytorch yolov8

Last synced: 04 Feb 2026

https://github.com/rezapace/number-generator

Proyek ini adalah sebuah program yang digunakan untuk menghasilkan deretan angka dengan langkah tertentu dan menambahkan teks setelah setiap angka. Program ini mendukung berbagai metode untuk menghasilkan angka, termasuk penggunaan CuPy untuk memanfaatkan GPU, serta penggunaan threading untuk meningkatkan kinerja.

colab cupy custom generator jupiter kumal link number numpy pyhon webkumal webkumal-projek

Last synced: 11 Apr 2026

https://github.com/gustavoaca1997/placa-orificio-velocidad

script en python3 para obtener la velocidad de una placa orificio mediante tanteos

chemistry numerical-calculations numerical-methods numpy python

Last synced: 01 May 2026

https://github.com/beberiche/jeon-woo-chi

지역 축제를 기반으로 하는, 게이미피케이션을 접목시킨 지역 상권 맞춤 추천 서비스

aws django docker elasticsearch grafana jenkins kibana logstash numpy pandas phaserjs prometheus react react-query recoil redis spring-boot tensorflow typescript zipkin

Last synced: 10 Mar 2026

https://github.com/benjifinance/benjimlmodel

This is the ML model of the Benji Application

ai ai-prediction analyzing-data forcasting matchine-learning ml numpy pandas python3 random-forest

Last synced: 11 Apr 2026

https://github.com/shudhanshusaurabh001/super_market-data-analysis-using-python

This project focuses on analyzing supermarket sales data using Python. The goal is to extract meaningful insights from the dataset, such as sales trends, customer purchasing behavior, and product performance.

analysis csv data insights matplotlib numpy pandas project python seaborn

Last synced: 06 Apr 2026

https://github.com/hansalemaos/fortran2cc2fortran

Fortran to C / C to Fortran (nested) index converter

c converter fortran index numpy

Last synced: 11 Apr 2026

https://github.com/ralolooafanxyaiml/neural-evolution-engine

A modular AI evolution simulation engine built with Python and TensorFlow. Uses Deep Learning to predict organism adaptations against environmental threats.

artificial-intelligence deep-learning evolution-simulation keras machine-learning neural-networks numpy oop pandas python scikit-learn simulation tensorflow

Last synced: 07 Jan 2026

https://github.com/bearddan2000/python-web-3d-matplotlib-vertical-bar-graph

A demo of creating a 3d vertical bar graph.

3d bar graph matplotlib numpy pandas python vertical web

Last synced: 03 May 2026

https://github.com/hafaio/hilbert-bytes

A python library for converting between d-dimensional points and indices on a hilbert curve

hilbert-curve numba numpy python

Last synced: 12 Feb 2026

https://github.com/bilalm04/autonomous-lane-detection

An autonomous lane detection system leveraging OpenCV to process images and videos, accurately identifying lanes and providing key visualizations.

artificial-intelligence computer-vision lane-detection machine-learning matplotlib numpy opencv python

Last synced: 20 Jan 2026

https://github.com/rnuv/artificial-neural-network

A Simple 2 layered Artificial Neural Network library made from scratch in Python and NumPy. Fitted with a feed forward method and backpropagation.

neural-network numpy python tensorflow

Last synced: 18 Mar 2025

https://github.com/klihe/astar-visualization

I am trying to implement *a path finding algorithm and create a visualization of it with Python and numpy library

algorithm astar-algorithm numpy pathfinding pygame python visualization

Last synced: 06 Apr 2025

https://github.com/l-gre/tradefx-ai

A Python-based project exploring algorithmic trading strategies, including backtesting, real-time data integration, and predictive modelling with TensorFlow and Keras. Key topics include technical indicators, risk management, and leveraging AWS and broker APIs for automated trading

algorithmic-trading aws backtesting broker-api keras machine-learning matplotlib numpy pandas portfolio-optimisation python real-time-data-integration risk-management technical-indicators tensorflow

Last synced: 12 Apr 2026

https://github.com/shwetapardhi/assignment-3-q3-hypothesis-testing

Chi2 contengency independence test image of Buyer Ratio Assume Null Hypothesis as Ho: Independence of categorical variables (male-female buyer rations are similar across regions (does not vary and are not related) Thus Alternate Hypothesis as Ha: Dependence of categorical variables (male-female buyer rations are NOT similar across regions (does v

chi2-contingency contingency-analysis hypothesis-testing norm numpy pandas python scipy stats

Last synced: 12 Apr 2026

https://github.com/kumpatlapavankumar/medical-insurance-cost-estimation-using-machine-learning

Using python,numpy,pandas,seaborn,matplotlib and machine learning techniques

accuracy-score data-science data-visualization decision-trees exploratory-data-analysis gradient-boosting-classifier label-encoding linear-regression machine-learning matplotlib model-selection-and-evaluation numpy pandas prediction preprocessing python random-forest train-test-split xgboost-regression

Last synced: 28 Apr 2026

https://github.com/codeslash21/data_analyst_nanodegree

Notes and projects on Data Analyst Nanodegree.

data-analysis data-analyst-nanodegree data-cleaning data-visualization data-wrangling numpy pandas python3

Last synced: 06 May 2026

https://github.com/shhiivvaam/traffic_prediction

This project explores the application of advanced neural network architectures, including Multi-Layer Perceptron (MLP), Long Short-Term Memory (LSTM), and Gated Recurrent Unit (GRU), to forecast traffic volume. 👍👍✅

conv1d conv2d keras lstm matplotlib numpy pandas seaborn sklearn statsmodels tensorflow

Last synced: 12 Apr 2026

https://github.com/epsoft/embedding

Embedding

adam dense embedding flatten itertools numpy onehotencoder optimizers pandas sequential tensorflow

Last synced: 12 Apr 2026

https://github.com/mohith-2002/plotchart

PlotChart is a web application created by the Python library Streamlit.

matplotlib numpy pandas python streamlit

Last synced: 12 Apr 2026

https://github.com/mariiasam/rent-in-brazil

elasticnet-regression joblib lasso-regression linear-regression numpy pandas random-forest-regressor ridge-regression scikit-learn streamlit svr-regression-prediction

Last synced: 12 Apr 2026

https://github.com/prakshal0809/machine_learning_algorithms

This project showcases basic machine learning programs I developed during my studies, written in Python, intended for educational use or as a foundation for more advanced projects.

machine-learning matplotlib numpy pandas python

Last synced: 12 Apr 2026

https://github.com/bhiogade/hpi-analysis

House price index (HPI) Analysis

data-analysis data-cleaning data-visualization gathering-data numpy pandas-python

Last synced: 30 Apr 2026

https://github.com/jpcadena/ventas-facturas

Ventas con facturas

data data-analysis data-exploration data-extraction data-science excel feature-engineering matplotlib microsoft numpy pandas powerbi product-sales pylint python receipts sales

Last synced: 12 Apr 2026

https://github.com/sadegh15khedry/creditcard-transaction-anomaly-detection-using-isolationforest

detecting fraudulent transactions in credit card data using anomaly detection techniques.

anomaly-detection matplotlib numpy pandas python seaborn sklearn

Last synced: 27 Feb 2025

https://github.com/marvin-vw/3dengine_python

3D engine written in Python using OpenCV and NumPy

3dengine numpy opencv python

Last synced: 04 Feb 2026

https://github.com/offthetab/matcha_code_generation

Fine-tunning MatCha model for better python matplot lib code generation by given chart.

fine-tuning huggingface matcha matplotlib numpy pandas pil sklearn torch

Last synced: 20 Jan 2026

https://github.com/gurpreet0022/unveiling-pcos

Data Driven approach to get insights about PCOS

analysis eda insights matplotlib numpy pandas python3 scipy-stats seaborn visualisation

Last synced: 12 Apr 2026

https://github.com/alwaysvivek/next-word-prediction

🔮 Predicts the next word in a text sequence using either an N-gram statistical model or an LSTM-based neural network.

argparse laplace-smoothing machine-learning neural-network ngrams nlp nltk numpy python3 tensorflow

Last synced: 12 Apr 2026

https://github.com/id-andyyy/alfahack

📈💰 Investment propensity prediction model

catboost hackathon-project jupyter lightgbm numpy optuna pandas python scikit-learn

Last synced: 12 Apr 2026

https://github.com/dane-meister/neural-network

Creating a Neural Network from scratch.

activation-functions loss-functions machine-learning neural-network neural-networks neurons numpy python python3

Last synced: 02 Jul 2025

https://github.com/alwaysvivek/evolving-ai-biosphere

A self-evolving AI biosphere leveraging LSTM/REINFORCE for adaptation.

ai artificial-intelligence biology deep-learning devops evolutionary-algorithms machine-learning mlflow mlops numpy python3 pytorch reinforcement-learning simulation torch

Last synced: 12 Apr 2026

https://github.com/kr1shnasomani/DeepDetect

Traffic light, vehicle and human detection from aerial images using YOLOv8 model and Computer Vision

computer-vision deep-learning neural-network numpy opencv yolov8

Last synced: 03 Sep 2025

https://github.com/hairymax/python-for-science-lecture-notes

Tutorial material on the scientific Python ecosystem in Russian

matplotlib numpy python scipy sympy

Last synced: 12 Apr 2026

https://github.com/khushi130404/echobot

EchoBot is a chatbot built using TensorFlow to classify user inputs into predefined intents and respond accordingly. It uses a neural network trained with the data in intents.json.

keras nlp nltk numpy pickle tensorflow

Last synced: 12 Apr 2026

https://github.com/3rd-son/movie-streaming-service-analysis

Exploratory Data Analysis of the Streaming Services like Neflix, Hulu, Disney+ etc

data-analysis exploratory-data-analysis jupyter-notebook matplotlib numpy pandas plotly python seaborn

Last synced: 18 Apr 2026

https://github.com/mariam-zaidi/credit_risk_analytics

Performing Exploratory Data analysis for loan application approvals and understanding Risk analytics

exploratory-data-analysis matplotlib numpy pandas risk-analytics seaborn

Last synced: 06 May 2026

https://github.com/nazwright/daria

Real-time fraud detection architecture powered by AWS Kinesis, KaggleHub, and SMOTE-augmented data — the foundation of DARIA, the Detection And Risk-Intelligence Agent.

aws evm fraud fraud-detection-using-machine-learning kaggle kinesis machine-learning math numpy pandas python random web3

Last synced: 12 Apr 2026

https://github.com/manuelfay/numpydeeplearning

Deep Learning Framework built entirely using numpy

deep-learning deep-learning-framework minigrad numpy pytorch

Last synced: 06 May 2026

https://github.com/nisch-mhrzn/book-recommender-system

A Flask-based application that suggests books tailored to user preferences, leveraging collaborative filtering and a curated dataset.

flask numpy pandas python

Last synced: 12 Apr 2026

https://github.com/fimbres/emotion-recognition

This is an AI project developed in Python to recognize emotions in people.

ai kaggle-dataset keras numpy opencv python tensorflow

Last synced: 12 Apr 2026

https://github.com/urvee1810/eda-time-series

A comprehensive time series analysis of French retail quarterly sales data from 2012 to 2017. The project focuses on analyzing sales patterns, seasonal decomposition, and trend analysis using various statistical techniques and visualizations.

arima-modeling data-visualization exploratory-data-analysis matplotlib numpy pandas pmdarima python scikit-learn seaborn statsmodels time-series-analysis trend-analysis

Last synced: 12 Apr 2026

https://github.com/yousefalaaali/video-game-sales

Data Analysis Project - Video Game Sales

k-means-clustering matplotlib numpy pandas principal-component-analysis python scikit-learn seaborn

Last synced: 12 Apr 2026

https://github.com/jvictor011/analise_de_precos_de_materias-primas_agricolas

Este projeto concentra-se na análise dos dados de preços de várias matérias-primas agrícolas ao longo do tempo. O conjunto de dados usado para esta análise é chamado de agricultural_raw_material.csv.

matplotlib numpy pandas python seaborn

Last synced: 07 May 2025

https://github.com/parkjungyoon/til-data_study

✍ 데이터분석, 데이터베이스, 클라우드 컴퓨팅 등을 공부하고 기록하는 저장소 입니다.

crawling machine-learning monodb mysql numpy pandas python

Last synced: 12 Apr 2026

https://github.com/mzayles/iris-seaborn_visualizacao-dados

💻📊✅ Curso de Programação em Python para Data Science | Gráficos utilizando a base de vendas da Seaborn e a biblioteca Matplotlib.

matplotlib numpy pandas python seaborn

Last synced: 24 Mar 2025

https://github.com/mzayles/base_vendas_dataprep

💻📊✅ Curso de Programação em Python para Data Science | Preparando e tratando dados com Pandas e NumPy.

numpy pandas python

Last synced: 24 Mar 2025

https://github.com/jvictor011/big-five-personality-test

Usando machine learning para fazer o agrupamento de um sistema de traço de personalidade

matplotlib numpy os pandas python seaborn

Last synced: 07 May 2025

https://github.com/vikpires/ds_tips-dataset

Projeto individual do bootcamp de ciência de dados avanti 2024.2, com o objetivo de analisar e observar padrões no conjunto de dados "Tips".

data-analysis data-science data-visualization exploratory-data-analysis jupyter-notebook matplotlib numpy pandas python seaborn tips

Last synced: 17 Sep 2025

https://github.com/ifrazaib/pythoncodes

In this repository I have Added my handwritten python codes to master the language and includes all the basic concepts of python.

classes inheritance lists numpy pandas scipy tupels

Last synced: 06 Jan 2026

https://github.com/shandilya1998/neurorobotics

Python tools for robotics, deep reinforcement learning and neuroscience research.

computational-neuroscience mujoco mujoco-py numpy openai-gym pytorch reinforcement-learning robotics

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

Last synced: 12 Apr 2026

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