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Hello and welcome to the Machine Learning Full Course for Beginners using Python. In this video, you will learn from basics to advanced machine learning concepts from Great Learning’s top faculties, including professor Mukesh Rao, Bharani Akella & many other leading industry experts. If you are an enthusiast who wants to start with machine learning from scratch, this machine learning beginner video is the best to start with. #machinelearningfullcourse #machinelearning #machinelearningtutorial Learn AI & ML from the University of Texas, Austin. To build a successful career enroll now! https://www.mygreatlearning.com/pg-program-artificial-intelligence-course?utm_source=CPV_YT&utm_medium=Desc&utm_campaign=Machlearnbeginners_2023 Boost your resume with a Generative AI for Business certificate from Microsoft. Enroll now! https://www.mygreatlearning.com/gen-ai-microsoft-azure-open-ai-online?utm_source=CPV_YT&utm_medium=Desc&utm_campaign=Machlearnbeginners_2023 Agenda: • Python for Machine Learning • Role of Statistics in Machine Learning • Introduction to Machine Learning and its types • How does a Machine learning model learn? • Supervised and Unsupervised learning algorithms • Principal component analysis for dimensionality reduction • Application of Machine Learning Topics Covered: 00:01:09 – What Is Machine Learning? (Introduction to Machine Learning) 00:03:00 – Why Machine Learning? 00:04:22 – Road Map to Machine Learning 00:01:09 – How to Use Kaggle (www.kaggle.com) Machine Learning with Python (Python Libraries for Machine Learning) 00:11:25 - NumPy Python Tutorial (How to Create NumPy Array) 00:14:58 - How to Initialize NumPy Array 00:22:19 - How to check the shape of NumPy arrays 00:24:42 - How to Join NumPy Arrays 00:28:15 - NumPy Intersection & Difference 00:31:50 - NumPy Array Mathematics 00:39:15 - NumPy Matrix 00:42:28 - How to Transpose NumPy Matrix 00:43:21 - NumPy Matrix Multiplication 00:45:45 - NumPy Save & Load 00:47:44 - Python Pandas Tutorial 00:48:09 - Pandas Series Object 00:58:44 - Pandas Dataframe 01:12:00 - Matplotlib Python Tutorial 01:12:12 - Line plot 01:26:32 - Bar plot 01:32:37 - Scatter Plot 01:40:35 - Histogram 01:46:16 - Box Plot 01:51:03 - Violin Plot 01:51:57 - Pie Chart 01:56:39 - DoughNut Chart 01:59:04 - SeaBorn Line Plot 02:07:27 - SeaBorn Bar Plot 02:15:15 - SeaBorn ScatterPlot 02:20:25 - SeaBorn Histogram/Distplot 02:26:52 - SeaBorn JointPlot 02:30:23 - SeaBorn BoxPlot 02:38:59 – Role of Mathematics in Data Science 02:40:23 – What is data? 02:42:34 – What is Information? 02:43:21 – What is Statistics? 02:43:58 – What is Population? 02:46:48 – What is Sample? 02:47:33 – What are Parameters? 02:47:55 – Measures of Central Tendency 02:51:10 – Understanding Empirical Rule 02:53:16 – What is Mean, median, and mode? 02:57:04 – Measures of Spread (Understanding Range, Inter Quartile Range & Box-plot) 03:12:56 – Types of Machine Learning (Supervised, Unsupervised & Reinforcement Learning) 03:27:43 – How does a Machine Learning Model Learn? 03:35:31 – Supervised Machine Learning (Mukesh Rao) 04:34:51 – Python for Machine Learning 04:46:40 – Linear Regression Algorithm (Hands-on) 05:21:13 – What is Logistic Regression 05:29:39 – Linear Regression vs Logistic Regression 05:40:15 – Naïve Bayes Algorithm 05:49:32 – Diabetes Prediction using Naïve Bayes 06:15:18 – Decision Tree and Random Forest Algorithm 07:55:01 – Introduction to Support Vector Machines (SVMs) 08:07:08 – Kernel Functions 08:11:56 – Advantages & Disadvantages of SVMs 08:31:37 – K-NN Algorithm (K-Nearest Neighbour Algorithm) 08:40:13 – Introduction to Unsupervised Learning - Clustering 08:48:35 – Introduction to Principal Component Analysis 09:09:39 – PCA for Dimensionality Reduction 09:15:27 – Introduction to Hierarchical Clustering 09:28:38 – Types of Hierarchical Clustering 09:34:02 – How does Agglomerative hierarchical clustering work 09:42:32 – Euclidean Distance 09:45:10 – Manhattan Distance 09:48:01 – Minkowski Distance 09:50:02 – Jaccard Similarity Coefficient/Jaccard Index 09:54:02 – Cosine Similarity 09:58:18 – How to find an optimal number for clustering 10:03:02 – Applications Machine Learning Free Machine Learning Courses with Free Certificates: Machine Learning Algorithms: https://www.mygreatlearning.com/academy/learn-for-free/courses/machine-learning-algorithms?ambassador_code=GLYT_DES_Middle_SEP22&utm_source=GLYT&utm_campaign=GLYT_DES_Middle_SEP37 Statistics for Machine Learning: https://www.mygreatlearning.com/academy/learn-for-free/courses/statistics-for-machine-learning?ambassador_code=GLYT_DES_Middle_SEP22&utm_source=GLYT&utm_campaign=GLYT_DES_Middle_SEP39 For more updates on courses and tips, follow us on: Telegram: https://t.me/GreatLearningAcademy Facebook: https://www.facebook.com/GreatLearningOfficial/ LinkedIn: https://www.linkedin.com/school/great-learning/mycompany/verification/ Follow our Blog: https://glacad.me/GL_Blog

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