Muhammad Kaleem Ullah's repositories
Jack-of-Many-Trades
This repository is dedicted to participate in HECKTOBERFEST 2022. By participating to this repository you will be helping many people from different domains.
Hacktoberfest-22
A beginner friendly repository made specifically for open source beginners for Hacktoberfest. Add any program under any language (it can be anything from a hello-world program to a complex data structure algorithm) or update the existing one. Just make sure you add the program under the correct language directory.
Univercity-Campus-Network-Using-Cisco-Packet-Tracer-Project
we have developed a secure campus network (SCN) for sending and receiving information among high-security end-users. We created a topology for a campus of multi networks and virtual local area networks (VLANs) using cisco packet tracer. We also introduced the most critical security configurations, the networking used in our architecture. We used a large number of protocols to protect and accommodate the users of the SCN scheme.
-Gesture-Based-Computer-Controlling-Using-Arduino
In this project, we have successfully demonstrated how to control a computer using hand gestures with the help of an Arduino board. By using a combination of an ultrasonic sensor and a microcontroller, we were able to capture hand gestures and convert them into specific commands for the computer.
10th-Order-FIR-Filter
In this Digital Systems Designing semester project, we will be designing 10th order finite impulse response (FIR). The FIR filter is widely used in digital communication and control systems.
4-Bit-Comparator-Using-2-Bit-Comparator-Verilog-Code
A Comparator is a combinational circuit that gives output in terms of A>B, A<B, and A=B. This is entirely expected from the name. A digital comparator’s purpose is to compare numbers and represent their relationship with each other.
Arduino-and-ESP8266-Projects
This repository is containing some basic projects code related to Arduino and ESP8266. Can be helpful for the new learners.
BigMart-Mini-Project
The data scientists at BigMart have collected 2013 sales data for 1559 products across 10 stores in different cities. Also, certain attributes of each product and store have been defined. The aim of this data science project is to build a predictive model and find out the sales of each product at a particular store. Using this model, BigMart will try to understand the properties of products and stores which play a key role in increasing sales. The data has missing values as some stores do not report all the data due to technical glitches. Hence, it will be required to treat them accordingly.
Data-Cleaning-Course-on-Kaggle
Data cleaning is a key part of data science, but it can be deeply frustrating. Why are some of your text fields garbled? What should you do about those missing values? Why aren’t your dates formatted correctly? How can you quickly clean up inconsistent data entry? In this course, you'll learn why you've run into these problems and, more importantly, how to fix them! In this course, you’ll learn how to tackle some of the most common data cleaning problems so you can get to actually analyzing your data faster. You’ll work through five hands-on exercises with real, messy data and answer some of your most commonly-asked data cleaning questions.
Data-Visualization
Welcome to Data Visualization! In this hands-on course, you'll learn how to take your data visualizations to the next level with seaborn, a powerful but easy-to-use data visualization tool. To use seaborn, you'll also learn a bit about how to write code in Python, a popular programming language.
Deep-Learning-with-PyTorch-Image-Segmentation
Understand the Segmentation Dataset and you will write a custom dataset class for Image-mask dataset. Additionally, you will apply segmentation augmentation to augment images as well as its masks. For image-mask augmentation you will use albumentation library. You will plot the image-Mask pair. Load a pretrained state of the art convolutional neural network for segmentation problem(for e.g, Unet) using segmentation model pytorch library. Create train function and evaluator function which will helpful to write training loop. Moreover, you will use training loop to train the model.
Electronic-Voting-Machine-EVM-Using-8051-Microcontroller-Project
Electronic Voting Machine(EVM) is a simple electronic device used to record votes in place of ballot papers and boxes which were used earlier in conventional voting system. Fundamental right to vote or simply voting in elections forms the basis of democracy. All earlier elections be it state elections or centre elections a voter used to cast his/her favorite candidate by putting the stamp against his/her name and then folding the ballot paper as per a prescribed method before putting it in the Ballot Box. This is a long, time-consuming process and very much prone to errors. This situation continued till election scene was completely changed by electronic voting machine. No more ballot paper, ballot boxes, stamping, etc.
first-contributions
🚀✨ Help beginners to contribute to open source projects
Google-DSC-Platform-Extension
Hello DSC Leads, Automate your process of adding attendees manually.
Hacktoberfest
Make your first PR! ~ A beginner friendly repository made specifically for open source beginners. Add any program under any language (it can be anything from a hello-world program to a complex data structure algorithm) or update the existing one. Just make sure you add the program under the correct language directory. Happy coding
hacktoberfest2021
Submit Just 4 PRs to earn SWAGS and Tshirts🔥
Hacktoberfest2022
Hacktoberfest 2022 OPEN FIRST Pull Request - FREE T-SHIRT🎉
iammkullah
Config files for my GitHub profile.
Image-Classification-with-TensorFlow
we will build a neural network model to solve a basic image classification problem
Investigating-Netflix-Movies-and-Guest-Stars-in-The-Office
Our friend has also been brushing up on their Python skills and has taken a first crack at a CSV file containing Netflix data. For their first order of business, they have been performing some analyses, and they believe that the average duration of movies has been declining.
Machine-Learning---Intro-and-Intermediate
We'll start with an overview of how machine learning models work and how they are used. This may feel basic if you've done statistical modeling or machine learning before.
Muhammad-Bilal-MB
Config files for my GitHub profile.
Product-Sales-Outlet-at-BigMart-Datawarehouse
he data scientists at BigMart have collected 2013 sales data for 1559 products across 10 stores in different cities. Also, certain attributes of each product and store have been defined. The aim of this data science project is to build a predictive model and find out the sales of each product at a particular store.
Sec-Filling
SEC Filling document downloading and processing.
shopify_python_api
ShopifyAPI library allows Python developers to programmatically access the admin section of stores
Web-Scrapping-Using-Python-and-Beautiful-Soap
In this project, you will learn about the following: - Data extraction from the web using Python's Beautiful Soup module - Data manipulation and cleaning using Python's Pandas library
Webd-and-Blockchain-dev-hectoberfest-2022
Contribute in this repository by raising genuine PR. Get verified, merged and earn the free swags from Hacktoberfest 2022.