AIML
Learn withAswathi Sasidharan
17 modules
Lifetime access
Unlock the power of AI and ML
Overview
Artificial Intelligence and Machine Learning (AIML) is a cutting-edge technology that enables machines to learn from data and make intelligent decisions. This course covers the fundamentals of AI and ML, including algorithms, neural networks, and predictive modeling.
Key Highlights
AI and ML fundamentals
Algorithms and neural networks
Predictive modeling techniques
What you will learn
Understand AI and ML fundamentals
Gain knowledge of basic concepts and principles of Artificial Intelligence and Machine Learning.
Explore algorithms and neural networks
Learn about various algorithms, neural networks, and their applications in AI and ML.
Master predictive modeling techniques
Develop skills to build predictive models and analyze data to make informed decisions.
Modules
Introduction to Python for Data Science
3 attachments • 10 mins
Introduction
Introduction_to_Python
2 pages
Topic 1 : Introduction to Python
Python Keywords and identifiers
4 attachments • 15 mins
Python_Keywords_and_Identifiers
2 pages
Topic 2 :Python Keywords & Identifiers|Python for data science tutorial
Test your python skills
Assignment
Python Variables and Data Types
3 attachments • 14 mins
Topic 3 : Python Variables and Data Types|Python for Data Science|Python for beginners
practice
Test
Python strings
4 attachments • 27 mins
Python Strings
Topic 4 : Python strings|python string manipulation|data science tutorials|python tutorials
Test
String manipulation
Python Dictionary
4 attachments • 26 mins
python_dictionaries
Python Dictionary
Python Dictionary
Python Dictionary
Python Sets
2 attachments
Python_Sets_Detailed_Explanation
Python sets
Python sets
Python Lists
2 attachments • 33 mins
Python_lists
Python lists|
Python list
Python Tuple
3 attachments • 14 mins
Python Tuples
Python Tuple
Python Tuples
Python conditional statements
3 attachments • 10 mins
Python Conditional Statements
Practice Questions
Python Conditional Statements
Data
16 attachments
Automobile
CardioGoodFitness-1
Applied Stats problem statement
insurance
auto-mpg
pima-indians-diabetes
wisc_bc_data
letterdata
credit
technical_support_data
Cust_Spend_Data
ratings
movies
'https://query.data.world/s/uikepcpffyo2nhig52xxeevdialfl7'
Market_Basket_Optimisation_data
telco_churn
IMDB_data
Python Loops
2 attachments
Python_Loop_Statements
python loop statements assignments
python user defined functions
1 attachment
python_user_defined_functions
Machine Learning
17 attachments
Machinelearning
Numpy
LinearRegression
PolynomialRegression
Logistic_Regression_Explanation
NaiveBayesClassifier
KNN
Decision_Tree_Algorithm
weighted_knn
Nearest Centroid Classifier
Locally Weighted Regression
Probability based learning
Clustering
Feature_Importance_Decision_Trees
PCA
Supervised Learning problem statement
Bank_Personal_Loan_Modelling (2)
Statistics
1 attachment
Stats_notes
FAQs
How can I enrol in a course?
Enrolling in a course is simple! Just browse through our website, select the course you're interested in, and click on the "Enrol Now" button. Follow the prompts to complete the enrolment process, and you'll gain immediate access to the course materials.
Can I access the course materials on any device?
Yes, our platform is designed to be accessible on various devices, including computers, laptops, tablets, and smartphones. You can access the course materials anytime, anywhere, as long as you have an internet connection.
How can I access the course materials?
Once you enrol in a course, you will gain access to a dedicated online learning platform. All course materials, including video lessons, lecture notes, and supplementary resources, can be accessed conveniently through the platform at any time.
Can I interact with the instructor during the course?
Absolutely! we are committed to providing an engaging and interactive learning experience. You will have opportunities to interact with them through our community. Take full advantage to enhance your understanding and gain insights directly from the expert.
About the creator
Learn withAswathi Sasidharan
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