Data Science: Supervised Machine Learning with Python
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Course Overview
Section 1: Introduction to Machine Learning
Section 2: Supervised ML- Regression Algorithms
Lesson 1. linear regression Algorithms
Video - 00:17:34 mins
Lesson 2. Finding the best fit line
Video - 00:9:57 mins
Lesson 3. Model Evaluation and Metrics
Video - 00:11:32 mins
Lesson 4. Project Implementation- Domain Analysis
Video - 00:25:49 mins
Lesson 5. Data Preprocessing and Feature Engineering
Video - 00:14:06 mins
Lesson 6. Feature Selection
Video - 00:25:28 mins
Section 3: Supervised ML- Logistic Regression
Lesson 1. Introduction Supervised Machine Learning.mp4
Video - 00:8:53 mins
Lesson 2. Logistic Regression
Video - 00:11:10 mins
Lesson 3. Evaluation of a Classification Model
Video - 00:12:09 mins
Lesson 4. Implementation of Python Program
Video - 00:16:53 mins
Lesson 5. Data preprocessing
Video - 00:17:05 mins
Lesson 6. Feature Engineering
Video - 00:12:35 mins
Section 4: Supervised ML- K-Nearest Neighbors Algorithm
Section 5: Decision Tree and SVM in Machine Learning
Section 6: AI Chatbot for Interactive Learning and Assistance