Roadmap for foundation
5-Day AI & Machine Learning Beginner Roadmap
Day 1 – Machine Learning Foundations
Machine Learning Basics
What is Machine Learning
Definition of Machine Learning
Basics of Machine Learning
Why Machine Learning is used
Traditional Programming vs Machine Learning
Types of Machine Learning
Supervised Learning
Regression
Classification
Unsupervised Learning
Clustering
Difference between Supervised & Unsupervised Learning
Machine Learning vs Roles
Machine Learning vs Data Science
Machine Learning vs Data Analyst
Applications of Machine Learning
Where ML is used
Application level of ML
Recommendation systems
Image & speech recognition
Fraud detection
Healthcare
Manufacturing & quality control
Day 2 – Machine Learning Workflow + Python Basics
Machine Learning Workflow
ML workflow overview
Structure of ML workflow
Difference between steps
Data Handling in ML
Data preprocessing
Handling missing values
Data cleaning
Exploratory Data Analysis (EDA)
Understanding data
Basic data insights
Python Basics
Introduction to Python
Variables
Data types
int
float
string
boolean
Python Data Structures
List
Tuple
Difference between list and tuple
Day 3 – Python Operations & Logic Building
Operations in Python
Insert operations
Delete operations
Update operations
Operators
Arithmetic
Relational
Logical
Inbuilt functions
len()
sum()
min()
max()
Control Statements
if
if-else
elif
for loop
while loop
Difference between for and while loop
Input & Output
User input using input()
Output using print()
Practice Logical Problems
Prime number
Unique numbers in a list
Palindrome
Factorial
Fibonacci series
Largest and smallest number
Basic pattern problems
Day 4 – Statistics for Machine Learning
Basic Statistics
Mean
Median
Mode
Range
Variance
Standard Deviation
Quartiles
Differences & Equations
Mean vs Median vs
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