Discover @amirrezafahimi Open Source projects

AmirReza Fahimi (@amirrezafahimi)

amirrezafahimi

Stars
32
Global Rank 468,722 (Top 17 %)
Followers 10
Following 11
Registered over 7 years ago
Most used languages

Jupyter Notebook
48.1 %

Java
22.2 %

Python
18.5 %

Dart
7.4 %

JavaScript
3.7 %
Location 🇮🇷 Iran
Country Total Rank 1,135
Country Ranking

Jupyter Notebook
106

Dart
115

Java
308

Python
889

JavaScript
1,496

Gradient-descent

An overview of Gradient Descent, matplolib, cost functions and MSE

Jupyter Notebook

Linear-Regression-Car-models

Simple linear regression predicting price based on Car models data

Jupyter Notebook

Homayoun_Social

Manderplot_Set

PyTorch

Just Essentials PyTorch projects

Jupyter Notebook

Keras-Different-application-models

Keras Different application model for image classification

Jupyter Notebook

Tipster

LinearRegression-BostonHousePrices

analysis of a simple data using linear regression models, and evaluating the fitness of our model

Jupyter Notebook

CameraApp

This is a simple app that takes a photo and shows it

Pygame_python

end_to_end_machine_learning_project_housing_datatset

Jupyter Notebook

bmi_calculator_app

BMI Calculator app

ScrapyProjects

Starbuzz

The StarBuzz app

portfo

DS-ML

Data Science and Machine Learning projects

Jupyter Notebook

LearningJava

Odometer

PSOFunction

Implementing the Particle Swarm Optimization (PSO) Algorithm in Python

Kaggle-Dog-breed-Classification

Jupyter Notebook

Heart-Disease-Dataset-analysis-using-Scikit-Learn-s-models

Jupyter Notebook

Bits_And_Pizzas

Bits and Pizzas from HeadFirstAndroid book

Tensorflow

Jupyter Notebook

Tensorflow_api

Simple Tensorflow api using Flask

end_to_end_classification_MNIST_dataset

Classification problem

Jupyter Notebook

Kaggle-Blue-Book-for-Bulldozers-challenge

The goal of the contest is to predict the sale price of a particular piece of heavy equiment at auction based on it's usage, equipment type, and configuaration. The data is sourced from auction result postings and includes information on usage and equipment configurations.

Jupyter Notebook

Email-Spam-Classifier---Naive-Bayes-Model

A model to detect and categorize spam and ham emails

Jupyter Notebook