ML Flow: Purpose and Overview

In this lecture, we will discuss the purpose of using ML Flow and its overview.

Contents

1: Welcome to Machine Learning Experience

1.1: Importance of Machine Learning in Your Career

1.2: AI Family Tree

1.3: System Requirements

1.4: Pre-requisites

1.5: Course Overview

2: Enhance your Learning Experience

2.1: Join Discord for doubt clearing support & networking

2.2: Setting Video Resolution and Video Speed Globally

3: Machine Learning Basics

3.1: Who is Peter Pandey?

3.2: Peter Pandey’s journey to learn Machine Learning

3.3: What is Machine Learning?

3.4: Classification vs Regression

3.5: Supervised vs Unsupervised Learning

3.6: Preparing for Your ML Journey

4: Python Basics Bonus

4.1: MUST WATCH: Go through this chapter ONLY IF

4.2: Skip This Chapter - Quiz

4.3: Setup Environment (Local Python and Google Colab)

4.4: Variables

4.5: Variables - Quiz

4.6: Variables - Exercise

4.7: Numbers

4.8: Numbers - Quiz

4.9: Numbers- Exercise

4.10: Strings

4.11: Strings - Quiz

4.12: Strings - Exercise

4.13: Lists

4.14: Lists - Quiz

4.15: Lists - Exercise

4.16: Install Pycharm

4.17: If Condition

4.18: If Condition - Quiz

4.19: If Condition - Exercise

4.20: For Loop

4.21: For loop - Quiz

4.22: For loop - Exercise

4.23: Functions

4.24: Functions -Quiz

4.25: Functions - Exercise

4.26: Dictionary and Tuples

4.27: Dictionary and Tuples - Quiz

4.28: Dictionary and Tuples - Exercise

4.29: Modules and Pip

4.30: Modules and Pip - Quiz

4.31: Modules and Pip - Exercise

4.32: File Handling

4.33: File Handling - Quiz

4.34: File handling - Exercise

4.35: Classes and Objects

4.36: Classes and Objects - Quiz

4.37: Classes and Objects - Exercise

4.38: Inheritance

4.39: Inheritance - Quiz

4.40: Inheritance - Exercise

4.41: Exception Handling

4.42: Exception Handling - Quiz

4.43: Exception Handling - Exercise

5: NumPy NEW

5.1: Introduction and Benefits

5.2: Basic Operations

5.3: Matrix Operations

5.4: Slicing, Stacking

5.5: Quiz

5.6: Exercise

6: Data preprocessing and Visualization

6.1: MUST WATCH: Go through this chapter ONLY IF

6.2: Skip This Chapter - Quiz

6.3: Pandas Introduction and Installation

6.4: Dataframe Basics

6.5: Read, Write Excel and CSV Files

6.6: Handle Missing Data - Part 1

6.7: Handle Missing Data - Part 2

6.8: Grouping Data

6.9: Data Concatenation and Merging

6.10: Data Visualization Using Matplotlib and Seaborn

6.11: Data God Showing the way