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Hands-on Decision Tree
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Classroom Contents
Data Analyst Full Course - Comprehensive Guide for 2024
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- 1 Introduction
- 2 Who is Data Analyst and their Key Roles
- 3 Real-world Applications
- 4 Introduction to Data Analytics
- 5 What is Statistics?
- 6 Inter-quartile Range
- 7 Box-plot - 5 number summary
- 8 Data cleaning using Excel
- 9 Functions in Excel
- 10 Types of Functions in Excel
- 11 Sort and Filter
- 12 Data Validation in Excel
- 13 Pivot Table in Excel
- 14 Data Visualization using Excel
- 15 SQL - Introduction and Installation
- 16 Data Types in SQL
- 17 Hands-on based on HR Database Management System
- 18 Python Numpy Array
- 19 Numpy Methods
- 20 Numpy Array Mathematics
- 21 Numpy Matrix
- 22 Numpy Save and Load
- 23 Pandas- Introduction
- 24 Pandas Series Object
- 25 Pandas- Changing Index
- 26 Pandas- Series object from Dictionary
- 27 Pandas- Dataframe in-built Function
- 28 Pandas- iloc and loc function
- 29 Pandas- Dropping Rows and Column
- 30 Matplotlib Library
- 31 Matplotlib Line Plot
- 32 Matplotlib- Barplot
- 33 Matplotlib- Scatter plot
- 34 Matplotlib Histogram
- 35 Seaborn Line plot
- 36 Seaborn Barplot
- 37 Seaborn Scatterplot
- 38 Seaborn Histogram/Distplot
- 39 Tableau- Introduction
- 40 Tableau Architecture
- 41 Tableau Dashboards
- 42 Regression and its Use cases
- 43 Types of Regression [Linear Regression and Multiple Linear Regression]
- 44 Hands-on Linear Regression and MLR
- 45 Case study on Salary Expectation
- 46 Logistic Regression and its use cases
- 47 Credit card fraud detection using Logistic Regression
- 48 Naive Bayes Algorithm
- 49 Diabetes Prediction using Naive Bayes
- 50 Decision Tree
- 51 Decision Tree - CART
- 52 How are Decision Tree built?
- 53 Hands-on Decision Tree
- 54 Bagging and Random Forest
- 55 Hands-on Random Forest
- 56 Hierarchical Clustering
- 57 Types of Hierarchical Clustering
- 58 Agglomerative Hierarchical Clustering- Working
- 59 Distance formulas for Clustering [Eucledian Distance; Manhattan Distance; Minkowski Distance; Jaccard Similarity Coefficient]
- 60 Finding Optimal Numbers of Clustering
- 61 Generative AI- Introduction
- 62 Discriminative vs. Generative AI
- 63 How Gen AI Works?
- 64 Types of Generative AI
- 65 ChatGPT Basics
- 66 Introduction of Data Analysis using ChatGPT
- 67 Loading the Dataset
- 68 Data Analysis Project using ChatGPT
- 69 Data Analysis Project using Python
- 70 Summary
