FirasBayazed
Good Education background in the Scientific part, Passionate in IT. self learning,python,Data Science, Data analyzing and Systemintegration
Munich/Germany
Pinned Repositories
Boston_Houses_with_linear_regression
using Linear Regression to predict the house prices in Boston Dataset
houses_prices_predicting_with_RandomForest_Regressor
predicting houses prices by using RandomForestRegressor Model
Munich_avg_temp-vs-Global_avg_temp
using Excel in analyzing the Global Temperature increasing VS Munich Temperature increasing
my_iptv
I will create my own m3u playlist
MySQL_Exercises
DDL & MDL with SQL
predicting_WeatherForecast
predicting_WeatherForecast by using RandomForestRegressor
python_project_search_and-get-the-most-Topics-news-in-the-Language-that-you-choose
get the most Topics news in the Language that you choose
tmdb-movies-analyzing
analyzing the tmdb movies Dataset from Udacity Data analyzing Nano degree course
Twitter_Udacity_Project_Wrangling_Assessing_Cleaning
real-world data rarely comes clean. Using Python and its libraries, I will gather data from a variety of sources and in a variety of formats, assess its quality and tidiness, then clean it. This is called data wrangling. The dataset that I will be wrangling (and analyzing and visualizing) is the tweet archive of Twitter user @dog_rates, also known as WeRateDogs. WeRateDogs is a Twitter account that rates people's dogs with a humorous comment about the dog. These ratings almost always have a denominator of 10. The numerators, though? Almost always greater than 10. 11/10, 12/10, 13/10, etc. Why? Because "they're good dogs Brent". WeRateDogs has over 4 million followers and has received international media coverage. WeRateDogs downloaded their Twitter archive and sent it to Udacity via email exclusively for us to use in this project. This archive contains basic tweet data (tweet ID, timestamp, text, etc.) for all 5000+ of their tweets as they stood on August 1, 2017. More on this soon.
Udacity-analyse-ab-data
Analyze A/B Test Results from udacity Nano degree for analyzing
FirasBayazed's Repositories
FirasBayazed/my_iptv
I will create my own m3u playlist
FirasBayazed/MySQL_Exercises
DDL & MDL with SQL
FirasBayazed/ADSecurity
Place where I'm putting all the scripts and config files regarding Active Directory Security.
FirasBayazed/advance_invert_dict-function
advance function to find the common factors between customers that their Information stored in lists of dictionary
FirasBayazed/Auto-GPT
An experimental open-source attempt to make GPT-4 fully autonomous.
FirasBayazed/auto-py-to-exe
Converts .py to .exe using a simple graphical interface
FirasBayazed/Bayazed_Unsupervised-Learning-_Creating-Customer-Segments-GMM
In this project, you will analyze a dataset containing data on various customers' annual spending amounts (reported in monetary units) of diverse product categories for internal structure. One goal of this project is to best describe the variation in the different types of customers that a wholesale distributor interacts with. Doing so would equip the distributor with insight into how to best structure their delivery service to meet the needs of each customer.and I'll using GMM as my cluster
FirasBayazed/Calculator
This is a simple calculator project using python,tkinter and lambda function
FirasBayazed/cld200
CLD200
FirasBayazed/cloud-cap-samples-java
A sample application that demonstrates the features of the Java SDK for the SAP Cloud Application Programming Model.
FirasBayazed/cloud-s4-sdk-examples
Runnable example applications that showcase the usage of the SAP Cloud SDK.
FirasBayazed/datasets-for-start
Datasets for start with Machine Learning
FirasBayazed/getml-demo
FirasBayazed/gym
A toolkit for developing and comparing reinforcement learning algorithms.
FirasBayazed/iptv
Collection of 8000+ publicly available IPTV channels from all over the world
FirasBayazed/iptv-1
Collection of publicly available IPTV channels from all over the world
FirasBayazed/java-beginners
Source code for Java for Complete Beginners
FirasBayazed/lux
Python API for Intelligent Visual Data Discovery
FirasBayazed/lux-binder
Lux Binder Examples
FirasBayazed/Mini-Project-Dynamic-Programming
this is my begining in Reinforcement
FirasBayazed/Mini-Project-MC_Monte--Carlo_Methods
reinforcement MC: Monte Carlo Methods
FirasBayazed/PhoenixPE
PhoenixPE is a PEBakery project that creates a Recovery Environment based on Win10/Win11.
FirasBayazed/Pipelines-Using-Sklearn
FirasBayazed/python101code
Code examples from the book, Python 101 by Michael Driscoll
FirasBayazed/python_colorful_shell
bring colors to your python shell
FirasBayazed/ramp-workflow
Toolkit for building predictive workflows on top of pandas and scikit-learn.
FirasBayazed/startbootstrap-resume
A Bootstrap 4 resume/CV theme created by Start Bootstrap
FirasBayazed/teach-a-quadcopter-how-to-fly
Udacity Machine Learning Engineer Nanodegree / Reinforcement Learning / Deep RL Quadcopter Controller
FirasBayazed/ThinkPython2
LaTeX source and supporting code for Think Python, 2nd edition, by Allen Downey.
FirasBayazed/wordpress-azure
wordpress for azure marketplace