ai_classic_algorithms

Hey there 👋,

anuraghazra

boardgameplatform

A Board Game platform based on sadaf framework

compiler-moola

this is a moola language design

cpp-object_oriented-tutorial-with-project

tutorial for c++ object-oriented programing with a simple form of the Model-ViewController pattern.

data-analytic

sample project of data analyze-Ml-and library of python like pandas-sklearn-matplotlib and...

database

This is a a simulation and data base of system like spotify:D

deeplearning_applications_minist

using cnn and rnn and fully connected network for mnist data

detecting-anomalies

This project focuses on detecting intrusions by analyzing logs collected in real-time from log aggregation systems of web-based service providers. Since the data is unlabeled, the task requires an unsupervised anomaly detection approach based on user footprint analysis.

eda_visualization

work on some datasets(divar-titanic,..) and prepare them for analyze and make model :)

fbghkh1999

fbghkh1999.github.io

first-order-model

This repository contains the source code for the paper First Order Motion Model for Image Animation

imageprocessing

image-processing-miniprojects

multicore-npuzzle

parallel Npuzzle with openmp

multiple-linear-regression-with-scikit-learn

we will build and evaluate multiple linear regression models using Python. You will use scikit-learn to calculate the regression, while using pandas for data management and seaborn for data visualization. The data for this project consists of the very popular Advertising dataset to predict sales revenue based on advertising spending through media such as TV, radio, and newspaper. By the end of this project, you will be able to: - Build univariate and multivariate linear regression models using scikit-learn - Perform Exploratory Data Analysis (EDA) and data visualization with seaborn - Evaluate model fit and accuracy using numerical measures such as R² and RMSE - Model interaction effects in regression using basic feature engineering techniques

predict-sales-revenue-with-scikit-learn

we will employ the scikit-learn module for calculating the linear regression, while using pandas for data management, and seaborn for plotting. You will be working with the very popular Advertising data set to predict sales revenue based on advertising spending through mediums such as TV, radio, and newspaper.

predict_electricity-price

deeplearning-ensemble_learning_preprocessing_visualizatin

predicting-models

we work on some datasets and try to find best model for them and analyze them

question-answering-with-llm

study about using llm in question answering systems

recomendation_system

recommender_engine

collabrative_filtering recommender systems

rl_gym_mountaincar

perfect training with average steps=110

rl_problems_code

sample-flutter

sample flutter projects

spotify

This is a simulation and data base of a system like spotify:D

tweepy

textAnalyze with tweepy

yes_no_voice_recognition

detect yes or no voice with signal processing techniques