Ashleshk

Data-Science-Zillow-Real-Estate-Market-Analysis

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

Data-Symphony-Orchestrating-Real-time-Insights-with-a-Modern-Data-Engineering-Pipeline

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.

Emotion-Sentiment-Classification-of-Product-Reviews-on-Twitter

Emotional Sentiment Analysis using AWS SageMaker Spark

GenAI-Projects-Portfolio

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

IBM-Data-Science-Specialization-Coursera

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.

Machine-Learning-A-Z-hands-on-Python-And-R-in-data-Science

Repository For Codes And Concept Taught in Udemy Course

Machine-Learning-Stanford-Andrew-Ng

# 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)

Practical-Data-Science-on-the-AWS-Cloud-Specialization

@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.

TableaU-PowerBI-Visualisation-Learning-path

hands-on project on Prepare, Clean, Transform, and Load Data using TableaU & Power BI.

Vehicle-Detection-using-Aerial-Imagery-using-deep-Learning-Algorithm

The project aims at analyzing the various aerial images and solving any particular field (Vehicle detection) or sector related problems

Ashleshk/CERTIFICATES

All Certificate Achieved Till 2023

Ashleshk/DataScience-DataCamp-Exercises

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

Ashleshk/GenAI-Projects-Portfolio

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

Ashleshk/Java-Programming-MasterClass

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

Ashleshk/Mini-Projects

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

Ashleshk/Data-Science-Zillow-Real-Estate-Market-Analysis

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

Ashleshk/Databricks-AWS-Cloud-Workspace

Ashleshk/Emotion-Sentiment-Classification-of-Product-Reviews-on-Twitter

Emotional Sentiment Analysis using AWS SageMaker Spark

Ashleshk/Machine-Learning-Data-Science-Deep-Learning

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

Ashleshk/Data-Symphony-Orchestrating-Real-time-Insights-with-a-Modern-Data-Engineering-Pipeline

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.

Ashleshk/Databricks-Certification-Preparation-Associate

Notes for Databricks Certification Preparation Associate

Ashleshk/Generative-AI-with-LLMs

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.

Ashleshk/LeetCode-Programming-Codes

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

Ashleshk/Tableau-And-PowerBI-Projects

Consist brief info about all my tableau and PowerBi dashboards, insights that I got out of them & the result and analysis from visualization.

Ashleshk/Ashleshk

Config files for my GitHub profile.

Ashleshk/Ashleshk.github.io

Portfolio repository

Ashleshk/Data-Science-Zillow-Real-Estate-Price-Prediction

Predict the price of unit area for houses given their features

Ashleshk/DataSets_And_STATS_LEARNING

Stats Learning DataSet

Ashleshk/DE-Uber-Analytics

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

Ashleshk/End-to-end-Machine-Learning-Project-with-MLflow

Ashleshk/GenAI-Workshop-Build-GenAI-apps-with-Microsoft-and-DataStax

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

Ashleshk/Medical-Bot-using-Llama2-Chainlit

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.

Ashleshk/PII-Data-Detection

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

Ashleshk/Predicting-customer-buying-behaviour-for-British-Airways

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

Ashleshk/Quantium-Data-Analytics-Virtual-Experience-Program

This repository contains all about the proposed solutions to the assignments that I was required to complete as part of the Quantium Data Analytics Virtual Experience Program

Ashleshk/Spotify-Music-Data-Analysis

Data Collection | Spotify API | Data Mining | EDA | Visualization | ML

Ashleshk/Stride-Logistics-Analytics-Application

A global e-commerce company aims to extract insights from consumer data by leveraging advanced machine learning. They seek to enhance understanding of customer behavior, preferences, and purchasing trends, empowering data-driven decision-making and bolstering business strategies.

Ashleshk/Tokyo-Olympics-Data-Engineering-Project

Ashleshk/YouTube-Data-Alchemist-Architecting-Insights-from-the-Cloud

Data Engineering YouTube Analysis Project by Ashlesh Khajbage

Ashleshk/Youtube-Summarizer