Welcome to a comprehensive tutorial on Data Science, where we delve into the fascinating world of data analysis, interpretation, and prediction through live examples. In this video, you'll embark on a journey through the key concepts of Data Science, gaining a solid understanding of how to extract valuable insights from raw data.

Throughout the tutorial, we'll use real-life examples to illustrate each step of the Data Science process, from data collection and preprocessing to exploratory data analysis and advanced modeling techniques. Whether you're a beginner looking to kickstart your Data Science journey or an experienced practitioner seeking to refine your skills, this tutorial has something for everyone.

Expect to learn how to handle large datasets, visualize trends and patterns, implement machine learning algorithms, and evaluate model performance. We'll guide you through hands-on demonstrations, ensuring that you not only grasp theoretical concepts but also gain practical experience in solving real-world problems using data-driven approaches.

By the end of this tutorial, you'll have the confidence to tackle Data Science projects head-on, armed with the knowledge and skills needed to make informed decisions, uncover hidden insights, and contribute to the rapidly evolving field of data-driven decision-making. Join us to unlock the power of Data Science through engaging live examples and step into the realm of limitless possibilities that data analysis offers.

Kaggle Site: https://www.kaggle.com/

⌚Timestamps⌚

0:00 Introduction
1:20 Dataset Introduction for Data-Science Project.
2:54 Import Nesscery Dependencies in Python.
3:57 Load and Verify the DataSet
6:30 Exploratory Data Analysis (EDA)
7:50 Data Analysis and Data Visualization
22:42 Data Analysis and Data Box Plot Visualization
29:40 Converting the Data Categorical to Numerical
32:39 Using Data Standard Scaler - (Machine Learning Basic Concept)
36:07 Linear Regression Model for Data Prediction - (Machine Learning Basic Concept)
40:03 Random Forest Regressor Model for Data Prediction - (Machine Learning Basic Concept)
43:50 XGBRegressor Model for Data Prediction - (Machine Learning Basic Concept)
45:18 Decision Tree Regressor Model for Data Prediction - (Machine Learning Basic Concept)
47:30 Comparative Analysis of Models with Live Visualization - Machine Learning
49:10 Conclusion

🌟 My Journey 🌟

With experience spanning over 8 years, I've thrived as a Machine Learning Engineer and Software Developer. Throughout my professional voyage, I've actively contributed to diverse software products and harnessed various cutting-edge technologies. Orchestrating more than 10 teams and overseeing an array of projects across different locations has been a pivotal part of my role.

Much gratitude and affection to all of you – your support means the world. Here's to continued growth and success! 🚀❤️

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