Amrabdelhamed611

Pinned Repositories

Ai_task
Language:Jupyter Notebook00
data-analysis-on-NOAA-database
Language:R00
Effect-of-transmission-type-on-fuel-efficiency-for-cars-
In this report, mtcars data set will be analyzed, to explore the relationship between a the variables and Miles Per Gallon(MPG). The data was extracted from the 1974 Motor Trend US magazine, and comprises fuel consumption and 10 aspects of automobile design and performance for 32 automobiles (1973–74 models).
00
ExData_Plotting1
Plotting Assignment 1 for Exploratory Data Analysis
Language:R00
Fabric_Defect_Detection-
Demo for defect detection
Language:Jupyter Notebook00
Fine-particulate-matter-emissions-data
Language:R00
Gans_simple_stat
simple gans notebooks and Spectral-Normalization implemention from scratch
Language:Jupyter Notebook00
Getting-and-Cleaning-Data-Course-Project
Language:R00
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Language:Jupyter Notebook10
Human-Activity-Recognition-Practical-Machine-Learning-project
Language:HTML00

Amrabdelhamed611's Repositories

Amrabdelhamed611/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Language:Jupyter Notebook10
Amrabdelhamed611/Ai_task
Language:Jupyter Notebook00
Amrabdelhamed611/data-analysis-on-NOAA-database
Language:R00
Amrabdelhamed611/Effect-of-transmission-type-on-fuel-efficiency-for-cars-
In this report, mtcars data set will be analyzed, to explore the relationship between a the variables and Miles Per Gallon(MPG). The data was extracted from the 1974 Motor Trend US magazine, and comprises fuel consumption and 10 aspects of automobile design and performance for 32 automobiles (1973–74 models).
00
Amrabdelhamed611/ExData_Plotting1
Plotting Assignment 1 for Exploratory Data Analysis
Language:R00
Amrabdelhamed611/Fabric_Defect_Detection-
Demo for defect detection
Language:Jupyter Notebook00
Amrabdelhamed611/Fine-particulate-matter-emissions-data
Language:R00
Amrabdelhamed611/Gans_simple_stat
simple gans notebooks and Spectral-Normalization implemention from scratch
Language:Jupyter Notebook00
Amrabdelhamed611/Getting-and-Cleaning-Data-Course-Project
Language:R00
Amrabdelhamed611/Human-Activity-Recognition-Practical-Machine-Learning-project
Language:HTML00
Amrabdelhamed611/ITI_AI_program
Language:Jupyter Notebook
Amrabdelhamed611/ivy
The Unified Machine Learning Framework
Language:Python
Amrabdelhamed611/ml-coursera-python-assignments
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
Amrabdelhamed611/ML_Implementation
machine learning algorithms notes and implementation from scratch
Language:Jupyter Notebook
Amrabdelhamed611/NOAA_report_dashboard
Amrabdelhamed611/ProgrammingAssignment2
Repository for Programming Assignment 2 for R Programming on Coursera
Language:R
Amrabdelhamed611/RepData_PeerAssessment1
Peer Assessment 1 for Reproducible Research
Language:HTML
Amrabdelhamed611/Residuals-and-Diagnostics-For-linear-regression
Residuals and Diagnostics plots are tools to spot problems on the model will use some simulations and R data package to illustrate how to generate diagnostics plots and how to interpret them.
Amrabdelhamed611/World-Countries-Information-python-dashboard-plotly
create dash board using python libraries by dash and plotly
Language:HTML