*Machine Learning Full Course For Beginners 2025 Part 1| Free Machine Learning Course For Beginners*
*✅Datasets and Source Code:* https://forms.gle/UnGdxYMp8K6d7GabA
🔥Liverpool John Moore University MS In Data Science: https://www.upgrad.com/data-science-masters-degree-ljmu/?utm_source=OYOUTUBE&utm_medium=OYT&utm_campaign=IND_ACQ_Web_OYoutube_OYT_ALL_ALL_ALL_Pc4S4RXsJyo_Description
🔥IIIT Bangalore Post Graduate Program in Data Science & AI: https://www.upgrad.com/data-science-pgd-iiitb/?utm_source=OYOUTUBE&utm_medium=OYT&utm_campaign=IND_ACQ_Web_OYoutube_OYT_ALL_ALL_ALL_Pc4S4RXsJyo_Description
🔥Master of Science in Machine Learning & AI: https://www.upgrad.com/masters-in-ml-ai-ljmu/?utm_source=OYOUTUBE&utm_medium=OYT&utm_campaign=IND_ACQ_Web_OYoutube_OYT_ALL_ALL_ALL_Pc4S4RXsJyo_Description
🔥Post Graduate Certificate in Machine Learning and Deep Learning: https://www.upgrad.com/machine-learning-deep-learning-pgc-iiitb/?utm_source=OYOUTUBE&utm_medium=OYT&utm_campaign=IND_ACQ_Web_OYoutube_OYT_ALL_ALL_ALL_Pc4S4RXsJyo_Description
Hello and welcome back to upGrad’s YouTube Channel! We’re excited to introduce our free machine learning full course designed specifically for beginners in 2025. In this comprehensive machine learning tutorial video, our experienced mentor will provide in-depth insights into machine learning topics, including:
– *Fundamentals of machine learning*
– *Applications and key concepts*
– *Foundational models*
This online machine learning tutorial was originally conducted for upGrad students and has been refurbished exclusively for upGrad YouTube subscribers and a wider audience.
*Topics Covered:*
– 00:00:50 – Introduction to Machine Learning Full Course For Beginners
– 00:02:00 – Agenda For Machine Learning Full Course
– 00:02:53 – What is Data Analysis?
– 00:04:40 – Why go beyond Data Analysis
– 00:07:12 – Learning Concept on Machine Learning
– 00:10:50 – Example on Learning Concept
– 00:12:24 – The Aim of Machine Learning
– 00:13:15 – Why Machine Learning?
– 00:15:05 – Comparison Between Human Brain and Computer
– 00:16:00 – What is Motivations?
– 00:19:20 – What is Automation?
– 00:26:10 – What is Precision?
– 00:28:22 – What is Current Landscape?
– 00:29:00 – Difference b/w DS,ML,AI
– 00:35:59 – What is Machine Learning Paradigms
– 00:36:20 – The Machine Learning Pipeline
– 00:39:12 – What is ML Paradigms ?
– 00:51:08 – What is Supervised Learning
– 01:00:00 – Types of ML Tasks
– 01:14:47 – Why Consider Linesr Regression?
– 01:26:02 – Why Not use Correlation?
– 01:26:50 – What is Linear Regression Model?
– 01:27:55 – Simple Linear Regression Explained
– 01:42:51 – Dataset and Proposed Model Equation
– 01:44:27 – What is Best Fit Line
– 01:52:00 – Which Model Is Better?
– 02:01:41 – Optimization Methods
– 02:32:40 – What is Model Evaluation (Goodness of Fit)
– 02:31:10 – What is Model Evaluation (Predictive Power)
– 02:36:19 – MSE and RMSE (RED Model)
– 02:39:52 – Examples on Basic Data Processing
– 03:01:00 – Example on Exploratory Data Analysis
– 03:23:08 – Example on Numerical Predictors -Sklearn
– 03:44:10 – Multiple Linear Regression Model
– 04:10:20 – Introduction to Multiple Variables
– 04:21:29 – What is Variance Inflation Factor?
– 04:35:40 – Hands on Projects on ML Model
– 05:36:56 – Regularization and Hyperparameter Tuning
– 05:43:20 – What is ML Model Inference?
– 05:47:16 – How to Improve model performance
– 05:48:20 – What is Bias and Variance
– 05:58:34 – Solving Models using Linear Combination
– 05:59:44 – What is Feature Scaling
– 06:00:40 – What is Multiple Linear Regression Model
– 06:04:09 – Feature Scaling Methods
– 06:04:50 – What is Data Leakage?
– 06:13:16 – What is Regularization?
– 06:19:36 – What is Model Inference?
– 06:22:42 – What is Effect of Scaling?
– 06:36:35 – What is Hyperparameter Tuning?
– 06:38:12 – Parameters Vs Hyperparameters
– 06:46:00 – Hyperparameters Tuning Methods
– 06:50:00 – Example on Setup and Data Preparation
– 07:09:30 – Example on Multiple Linear Regression Model
– 07:20:00 – Example on Ridge Regression Model
– 07:23:13 – Example on LASSO Regression Model
– 07:25:03 – Example on Hyperparameter Tuning: Ridge Model
– 07:30:02 – Example on Hyperparameter Tuning: LASSO Model
– 07:35:40 – Example on Optimal Models
#machinelearning #machinelearningfullcourse #machinelearningtutorialforbeginners
If you’re feeling a little overwhelmed, don’t worry! Re-watch this video, experiment with the concepts, and join me in the comments with any questions.
The dataset and code script used in this tutorial are added in the description for you to check out.
Let’s keep up our progress and build our knowledge step-by-step!
Subscribe, hit the bell, and I’ll see you in the next step of our machine learning journey.
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