Completed
Demo - Simple Linear Regression
Class Central Classrooms beta
YouTube videos curated by Class Central.
Classroom Contents
Data Science Full Course with SQL and Python for Beginners
Automatically move to the next video in the Classroom when playback concludes
- 1 Introduction
- 2 What is Data Science
- 3 Data Science Life Cycle
- 4 Data Analyst vs Data Scientist vs Data Engineer
- 5 Numpy
- 6 Creating and Intializing Numpy Array
- 7 Numpy Shape
- 8 Joinig Numpy arrays
- 9 Numpy Intersection and Differences
- 10 Numpy Array Mathematics
- 11 Numpy Matrix
- 12 Numpy Matrix Transpose and Multiplication
- 13 Numpy Save and Load
- 14 Pandas
- 15 Pandas Series Object
- 16 Changing Index
- 17 Series object from Dictionary
- 18 Extracting Individual Elements
- 19 Pandas Dataframe
- 20 Creating a Dataframe
- 21 Dataframe In-build Function
- 22 .iloc and loc function
- 23 Dropping Columns
- 24 Dropping rows
- 25 Matplotlib
- 26 Line plot
- 27 Bar plot
- 28 Scatter Plot
- 29 Histogram
- 30 Seaborn Line Plot
- 31 Seaborn Bar Plot
- 32 Seaborn Scatter Plot
- 33 Seaborn Histogram/ Distplot
- 34 Types of Statistical Analysis
- 35 Inferential Statistics
- 36 Descriptive Statistics
- 37 Measures of Central Tendency
- 38 Measures of Variability
- 39 Measures of Relationship
- 40 Measures of Skewness
- 41 Analysis of Variance
- 42 ANOVA Define
- 43 Grand Mean
- 44 F-Ratio
- 45 Hypothesis Testing
- 46 Types of Hypothesis Testing
- 47 Important Terms in Hypothesis Testing
- 48 ANOVA vs.T-test
- 49 Applications of ANOVA Test
- 50 Machine Learning
- 51 Supervised Learning
- 52 Unsupervised Learning
- 53 Reinforcement Learning
- 54 Clustering
- 55 Examples of Clustering
- 56 Need of Clustering
- 57 Types of Clustering
- 58 K-Means Clustering
- 59 Applications of K-means
- 60 Deciding value of K
- 61 Elbow Method
- 62 Implementation of K-means Clustering
- 63 Regression
- 64 Use case of Regression
- 65 Linear Regression
- 66 Multi Linear Regression
- 67 Types of Linear Regression
- 68 Demo - Simple Linear Regression
- 69 Demo- Multiple Linear Regression
- 70 Logistic Regression
- 71 Use Cases of Logistic Regression and its Demo
- 72 Installing MySQL
- 73 DML Command
- 74 DCL Command
- 75 TCL Commands
- 76 Joins in MySQL
- 77 INNER Join
- 78 Full Join
- 79 SELF Join
- 80 Subquery and Types
- 81 Demo on Subqueries
- 82 ALL Operators
- 83 Need of Gen AI in Data Science
- 84 Projects on Data Science
- 85 Top Data Science Interview Questions
- 86 Summary
