AI/ML Job Postings Analysis on the 1.3M LinkedIn Jobs and Skills 2024

This project explores and visualize salaries for roles related to AI, ML, Data Science, and Engineering using a publicly available dataset. The aim is to extract insights, clean and visualize the data, and implement a simple linear regression model without using any ML libraries like scikit-learn.

A real-world data analysis project exploring AI & ML job trends in the U.S. using Pandas, Matplotlib, and Seaborn — based on LinkedIn job listings from 2022 to 2024

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Analysis of AI ML Data Sciences Job Market And Salary Trends(USA)

This project explores and analyzes a dataset of AI-related job postings around the world, aiming to predict salary using various machine learning

ML-based analysis of global AI job trends and salary predictions for 2025

AI and ML job salary trend analysis using pandas and matplotlib

Advanced Power BI + Python Project using AI/ML to analyze job market trends for 2025.

An in-depth analysis of AI/ML/Data Science job market and salary trends for 2024-2030.

Scraping and analyzing job market trends for ML, AI, and Data roles using Python, BeautifulSoup, Pandas, and Streamlit.

Excel dashboard analyzing 15,000 AI/ML jobs across 50+ countries with salary, remote trends, and experience insights.

AI-powered system to extract skills from job descriptions, score candidate-job alignment, predict job readiness using ML, and forecast skill demand trends using ARIMA & Prophet.

Scrape and visualize AI/ML job trends by tech stack and location. Built with Python, Selenium/BeautifulSoup, and Streamlit.

Orange Data Mining project analyzing AI/ML jobs: trends, skills, and employer demand. Includes workflows, datasets, and visualizations for students, professionals, and researchers interested in AI/ML careers.

This project explores **AI/ML job market trends** using a synthetic dataset of 2,000+ global job listings. It uncovers key insights into hiring patterns, skills in demand, salary ranges, and geographic trends.

🔍 Data Analysis project exploring AI/ML job trends, skill demand, salary patterns, and market insights using Python (Pandas, NumPy, Matplotlib)

ML-powered analysis of AI-driven job displacement trends 2020-2026 | GradientBoosting model (R²=0.93) | Production-ready API, Docker, CI/CD

AI-powered platform that scrapes job postings, analyzes skill & salary trends using NLP and ML, and provides personalized career recommendations via an interactive dashboard.

AI & ML Jobs Market Analysis Dashboard is a Power BI project that analyzes global AI job trend using datasets on companies, roles, salaries, skills, and locations. The dashboard provides insights into hiring demand, salary distribution, top AI skills, and geographic opportunities, helping understand trends in the Artificial Intelligence job market.

AI/ML Job Market Insights (2020-2024) This comprehensive Power BI project provides in-depth analysis of AI/ML job market trends from 2020 to 2024. It features interactive visualizations on average salary by job title and employment type, salary distribution by work year and experience level, and many more.

The Global AI Job Market Dashboard is a Power BI project designed to explore real-world hiring data, salary benchmarks, skill demand, and remote work trends across the AI/ML industry.

AI/ML salary analysis developed during DEPI training. Uses R for cleaning and Tableau for visualization to explore compensation trends by experience, job title, and company size.

The AI Job Market Insights project aims to analyze and predict job growth projections in the AI/ML sector. The dataset contains historical and current data about AI job trends, including salaries, skill requirements, and market indicators. The main goal is to build machine learning models to predict the Job_Growth_Projection for AI-related roles.

EDA with Pandas on the AI_Job_Market_Trends_2026, and Types of ML, regression vs classification, problem identification, feature/target separation

This project explores trends in the Artificial Intelligence (AI) and Machine Learning (ML) job market for 2023 using real-world datasets from Kaggle. The focus is on analyzing salaries, job postings, skills, demand by state, and work settings to provide insights into the current AI/ML industry landscape.

This project analyzes recent CS job salary data to figure out the best CS jobs to pursue based on popularity and salary statistics. I use the 'AI, ML, Data Science Salary (2020- 2025)' dataset, which contains salary and Employment trends in AI, ML, and Data Science from the past 5 years.

A comprehensive web application for analyzing job market trends and making predictions using AI/ML models. Available as both a Streamlit interactive app and a Flask RESTful API with Swagger documentation.

This project explores a dataset of 2,000 AI and machine learning job postings from 2023 to 2025 across several industries and regions. It aims to reveal key hiring trends, salary patterns, and the most sought-after skills shaping the AI/ML job market.