AISECT LEARN
Machine Learning in Python Certificate Course
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Machine Learning in Python Certificate Course
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1. Introduction to Data Science
1.1 Intro What is Data Science?
1.2 Real Life Examples with Applications
1.3 Data Scientist Job roles and responsibilities
1.4 The Most Promising Job of the 21st Century
1.5 Machine Learning vs. Data Science vs. AI
Quiz M1 - Introduction to Data Science
2. Python Essentials Introduction
2.1 Python Introduction
2.2 Follow this Installation Guide of Anaconda Navigator
2.3 Jupyter Notebook Interface
2.4 How to Open, Save and Rename a file
2.5 Variables and Data Types
2.6 Python Strings
2.7 Loops (Conditional)
2.8 Loops (Iterative while)
2.9 Loops (Iterative For)
2.10 Python Functions (Built in, Lambda, User defined functions)
2.11 Lists
2.12 Tuples
2.13 Sets
3. Data Manipulation and Data Analysis Tools
3.1 Numpy Arrays in Python
3.2 Three Dimensional Arrays Indexing and slicing
3.3 Matrices
3.4 Pandas in Python
3.5 Importing CSV, Excel Files
3.6 Exporting CSV file
Quiz M3 - Data Manipulation and Data Analysis Tools
4. Python Data Analysis, Statistics
4.1 Basic Descriptive Statistics with Numpy and Applying Statistical Functions on Matrices
4.2 Linear Algebra with NumPy
4.3 Numpy Random Numbers
4.4 Probability Distributions using NumPy
4.5 Normality Test with SciPy
5. Advanced Python - Pandas
5.1 Pandas Data Frames
5.2 Querying Data in Pandas
5.3 Data Aggregation with Pandas Data Frames
5.4 Concatenating and Appending Data Frames
5.5 Joining Data Frames
5.6 Statistics with Pandas Data Frames
5.7 Haddling Missing Data
5.8 Pivot Tables
5.9 Plotting in Pandas
Data Visualialization in Python
Online Python Compiler (Interpreter)
Google Colab, or "Colaboratory" Python Compiler
Another Online Python Compiler
Reference Materials
Python Reference Book 1
Python Reference Book 2
Discussion Forum
Machine Learning in Python Certificate Course Discussion Forum
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Machine Learning in Python Certificate Course
Summary
Machine Learning in Python Certificate Course
Skill Level
:
Beginner