Salary Prediction Data Science Project: Step-by-Step Data Analysis, Machine Learning & Streamlit App
In this comprehensive tutorial, we dive into a hands-on Data Science Project focused on salary prediction using Python. You'll learn how to perform detailed data analysis, apply machine learning techniques, and build an interactive Streamlit app to showcase your results. Whether you're a beginner or looking to enhance your skills, this step-by-step guide will walk you through the entire process, from data cleaning and visualization to feature engineering and model deployment. Thanks for watching my video. I share new Data Science videos weekly, you can subscribe for more videos like this.
Dataset: https://www.kaggle.com/datasets/abdal...
You can check the channel playlists for more videos like this. Data Science YouTube Playlists:
Data Science Full Courses & Projects: • Data Science Full Courses & Projects
Machine Learning Tutorials (Python Scikit-learn): • Machine Learning with Python: Scikit-...
AI Tutorials (LLMs, LangChain and OpenAI): • AI Tutorials (Langchain, OpenAI & LLMs)
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Data Science & Machine Learning Projects: • Data Science & Machine Learning Projects
Python Time Seires Analysis: • Time Series Analysis with Python
Natural Language Processing (NLP): • Natural Language Processing with Python
Deep Learning with PyTorch: • Deep Learning with PyTorch
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Udemy Courses
Data Science Projects: https://www.udemy.com/course/data-sci...
Data Analysis Interview: https://www.udemy.com/course/data-ana...
Python for Data Analytics: https://www.udemy.com/course/python-f...
Machine Learning with Python: https://www.udemy.com/course/python-m...
Python Programming: https://www.udemy.com/course/python-b...
Time Series Analysis: https://www.udemy.com/course/python-f...
Natural Language Processing (NLP): https://www.udemy.com/course/python-n...
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Some other videos I published:
Python Data Science Bootcamp (7+ Hours): • Complete Python Data Science Bootcamp...
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Python Data Analysis Project: • Python Data Analysis Project - Income...
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Chapters:
00:00 Introduction
00:21 Data Card
01:55 Data Science Project
30:00 Outro
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