Ashleshk's Repositories

All repository to Know all about visualization and Implement them

Udemy Full Stack Android Developer Course, here are the main code files according to each project

Angular Form App

All Basic Concepts of Angular

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Router Sample Code

Tour of Hero Tutorial Project

This Repository Contains the Material And Concepts Learnt In Specialization Course of Coursera

This repository consist of all the Programs and Sketches built in arduino IDE

This repository Contains Program Codes for ARM7 Processor , learning basics coding in ARM7 Processor

Config files for my GitHub profile.

Portfolio repository

An College Mini Project for the subject OOPs created to minimize load of student accounts management for Adminstrator

This Repository Consist of Research & Understanding For Building hardware Implementation

Learning About the Attribute Binding

DynamoDB Complete Hands On Demos Programs

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This repository Consist of Programs And Custom utlity tools used to Biuld UI Based Application in Python Uisng Tkinter Library

Computer networking Fundamentals concepts to advance Concepts learnt and Asked in CCNA exams in stream ICND1, ICND2 and GNS3 Practical Assignment were discussed in this Course which Udemy offered.

All Certificate Achieved Till 2023

The objective of our project is to design and develop a highly accurate real-time classification model capable of recognizing and interpreting American Sign Language (ASL) gestures from video data.

An Simple Bootstrap project Assigned In Udemy

This repository Consist of Ideas & Project Built based on Competition

Complete NodeJS Developer course on Udemy

This course is tailor made for an individual who wishes to transition quickly from an absolute beginner to a Computer Vision expert in a few weeks. The most difficult concepts are explained in plain and simple manner using code examples.

Contains All the Batches Earned in Due Course of Online Learning from Coursera Platform

This Repository Buit For Purpose of Peer Grade Assessment For Capstone Course in IBM professional Certificate Specilisation

This repository contains my full documentation of Coursera's Introduction to Programming the Internet of Things (IOT) Specialization taught by the professor Ian Harris offered by the University of California, Irvine.

Graduate Course

aynsc-await-node

Real-Time Performance Optimization Project with complete streaming data pipeline including acquisition, storage, enrichment, analysis and visualization

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Performed Data Wrangling, Data preprocessing, Visualization and Analysis to predict price using Regression pipeline.

Predict the price of unit area for houses given their features

An end-to-end data engineering pipeline that orchestrates data ingestion, processing, and storage using Apache Airflow, Python, Apache Kafka, Apache Zookeeper, Apache Spark, and Cassandra. All components are containerized with Docker for easy deployment and scalability.

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Notes for Databricks Certification Preparation Associate

Thanks to DataCamp, I have learn data science with their tutorial and coding challenge on R, Python, SQL and more.

Stats Learning DataSet

to perform data analytics on Uber data using various tools and technologies, including GCP Storage, Python, Compute Instance, Mage Data Pipeline Tool, BigQuery, and Looker Studio

This repository Consist of Course Material, Assignment And Quizes Attempted in Specialization Course by Coursera

This research utilizes Data Mining models to accurately classify Dry Bean varieties, enhancing crop production through improved marketing and production management.

this is an Hardware coded project made to simplify the education of blind people by providing a gadgets that enables them to read as well as write

Help PetMind to shortlist the most popular products to be featured in the subscription boxes.

Emotional Sentiment Analysis using AWS SageMaker Spark

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AJAX Based Application development

The GenAI Projects Portfolio repository is collection of projects leveraging Generative AI and Large Language Models (LLMs). These projects demonstrate various applications and innovations in AI-driven solutions, highlighting the potential and versatility of generative AI technologies

instructor-led hands-on workshop of the basics of your new GenAI toolkit - LLMs, embedding models, vector databases, and LLM frameworks.

In Generative AI with Large Language Models (LLMs), you’ll learn the fundamentals of how generative AI works, and how to deploy it in real-world applications.

program files

GET 881 NEW repository to demostrate Porject Comfilicts and handling from eclipse IDE

cmd repo

Command Line Template Git repository

by Google Cloud

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Data Science has been ranked as one of the hottest professions and the demand for data practitioners is booming. This Professional Certificate from IBM is intended for anyone interested in developing skills and experience to pursue a career in Data Science or Machine Learning. This program consists of 9 courses providing you with latest job-ready skills and techniques covering a wide array of data science topics including: open source tools and libraries, methodologies, Python, databases, SQL, data visualization, data analysis, and machine learning. You will practice hands-on in the IBM Cloud using real data science tools and real-world data sets. It is a myth that to become a data scientist you need a Ph.D. This Professional Certificate is suitable for anyone who has some computer skills and a passion for self-learning. No prior computer science or programming knowledge is necessary. We start small, re-enforce applied learning, and build up to more complex topics. Upon successfully completing these courses you will have done several hands-on assignments and built a portfolio of data science projects to provide you with the confidence to plunge into an exciting profession in Data Science. In addition to earning a Professional Certificate from Coursera, you will also receive a digital Badge from IBM recognizing your proficiency in Data Science.

In this project using dataset of 102 flower categories i'll be trainning an image classifier to recognize different species of flowers. You can imagine using something like this in a phone app that tells you the name of the flower your camera is looking at. In practice you'd train this classifier, then export it for use in your application.

of the challenges for Cohort 25 and 26, choosing NLP problem

An command chat application using Java

This course teaches computer programming to those with little to no previous experience. It uses the programming system and language called MATLAB to do so because it is easy to learn, versatile and very useful for engineers and other professionals. MATLAB is a special-purpose language that is an excellent choice for writing moderate-size programs that solve problems involving the manipulation of numbers. The design of the language makes it possible to write a powerful program in a few lines. The problems may be relatively complex, while the MATLAB programs that solve them are relatively simple: relative, that is, to the equivalent program written in a general-purpose language, such as C++ or Java. As a result, MATLAB is being used in a wide variety of domains from the natural sciences, through all disciplines of engineering, to finance, and beyond, and it is heavily used in industry. Hence, a solid background in MATLAB is an indispensable skill in today’s job market.

Exploratory data analysis (EDA) is the process of examining and summarizing a dataset's essential features in order to find trends, connections, and insights. In the context of the Indian Premier League (IPL) dataset, EDA can provide valuable insights into the performance of teams, players over the years.

hackerearth, hackerrank Leetcode And codilty Platform Combine programming Statement

Learn Java In This Course And Become a Computer Programmer. Obtain valuable Core Java Skills And Java Certification

Example data science portfolio

This repository contains project done in LabView IDE from Basic Gates designing, Adders, Counters, Encoders, Decoders and Examples to connect to external Arduino like embedded systems

Lane line detection is a crucial feature of Self-Driving Vehicles

This Repository consists of Programming codes for various Learning Tracks varying from 30 days of coding to specific data structure coding problems.

Mini Project of Library Book Issue, Record and Renewal Application Built in Python

Repository For Codes And Concept Taught in Udemy Course

This Repository Consists All Courses, Projects and Online Learning Done in Context of Machine learning, Data Sceince And Deep Learning From Various Sources like Youtube, Coursera, Udemy And WEbsites like Scikit, Keras

# Machine Learning (Coursera) This is my solution to all the programming assignments and quizzes of Machine-Learning (Coursera) taught by Andrew Ng. After completing this course you will get a broad idea of Machine learning algorithms. Try to solve all the assignments by yourself first, but if you get stuck somewhere then feel free to browse the code. ## Contents * Lectures Slides * Solution to programming assignment * Solution to Quizzes by Andrew Ng, Stanford University, [Coursera](https://www.coursera.org/learn/machine-learning/home/welcome) ### Week 1 - [X] Videos: Introduction - [X] Quiz: Introduction - [X] Videos: Linear Regression with One Variable - [X] Quiz: Linear Regression with One Variable ### Week 2 - [X] Videos: Linear Regression with Multiple Variables - [X] Quiz: Linear Regression with Multiple Variables - [X] Videos: Octave/Matlab Tutorial - [X] Quiz: Octave/Matlab Tutorial - [X] Programming Assignment: Linear Regression ### Week 3 - [X] Videos: Logistic Regression - [X] Quiz: Logistic Regression - [X] Videos: Regularization - [X] Quiz: Regularization - [X] Programming Assignment: Logistic Regression ### Week 4 - [X] Videos: Neural Networks: Representation - [X] Quiz: Neural Networks: Representation - [X] Programming Assignment: Multi-class Classification and Neural Networks ### Week 5 - [X] Videos: Neural Networks: Learning - [X] Quiz: Neural Networks: Learning - [X] Programming Assignment: Neural Network Learning ### Week 6 - [X] Videos: Advice for Applying Machine Learning - [X] Quiz: Advice for Applying Machine Learning - [X] Videos: Programming Assignment: Regularized Linear Regression and Bias/Variance - [X] Machine Learning System Design - [X] Quiz: Machine Learning System Design ### Week 7 - [X] Videos: Support Vector Machines - [X] Quiz: Support Vector Machines - [X] Programming Assignment: Support Vector Machines ### Week 8 - [X] Videos: Unsupervised Learning - [X] Quiz: Unsupervised Learning - [X] Videos: Dimensionality Reduction - [X] Quiz: Principal Component Analysis - [X] Programming Assignment: K-Means Clustering and PCA ### Week 9 - [X] Videos: Anomaly Detection - [X] Quiz: Anomaly Detection - [X] Videos: Recommender Systems - [X] Quiz: Recommender Systems - [X] Programming Assignment: Anomaly Detection and Recommender Systems ### Week 10 - [X] Videos: Large Scale Machine Learning - [X] Quiz: Large Scale Machine Learning ### Week 11 - [X] Videos: Application Example: Photo OCR - [X] Quiz: Application: Photo OCR ## Certificate * [Verified Certificate]() ## References [[1] Machine Learning - Stanford University](https://www.coursera.org/learn/machine-learning)

Audio Processing and Conceptualisation of Rhythm classfier

Maven repo Intergrated with jenkins

This repo tomcat + maven+ webapp

This is a medical bot built using Llama2 and Sentence Transformers. The bot is powered by Langchain and Chainlit. The bot runs on a decent CPU machine with a minimum of 16GB of RAM.

Implemented Content-Based Movie Recommeder System, Covid-19 Recognition using AI, Automated Tweet Generator, Fake Job Detection, US Consumer Finance Complaint Classification

Machine Learning by Stanford University. Programming assignments.

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This Repository Contains Concepts and Algorithms Learnt in This Course

Contains basic Simulation circuit layout for concepts involved in Electronic Devices and Circuits and Integrated Circuits Subjects

First Full Fledged My Store demo Web App

the socket chat application

this is an todo-api built for learning MongoDB

Node-Note is an node.js app that enables user to Add, Read, List and Remove note from notes-data.js file

this app contains the tools and library used for testing your app and server. library like supertest and expect were used

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An Simple Console Program that Guesses your Imagined number

A course by Jonas on udemy.

An simple Test based on swing without using Database

This repository consist of Project Built and Tested in Microcontroller PIC18F4550

To develop a model that detects personally identifiable information (PII) in student writing. My efforts is to automate the detection and removal of PII from data

Learn data visualization through Microsoft Power BI and create opportunities for you or key decision makers to discover data patterns such as customer purchase behavior, sales trends, or production bottlenecks. You'll learn all of the features in Power BI that allow you to explore, experiment with, fix, prepare, and present data easily, quickly, and beautifully.

@DeepLearning.AI Practical Data Science Specialization brings together these disciplines using purpose-built ML tools in the AWS cloud. It has helped me to develop the practical skills to effectively deploy your data science projects and overcome challenges at each step of the ML workflow using Amazon SageMaker.

A Data Science project to analyze the customer feedback on quality service and improve the pitfalls.

Contains C, C++, C# and DSA program codes practised at home by Self

Property Binding Concepts