AI & ML

by SFS (Sebiz Finishing School) Claim Listing

Man-made Intelligence (Artificial Intelligence) will shape our future intensely than any other innovation in this century. Any individual who doesn’t get this, will soon find themselves deserted, lost in a world brimming with magic created by AI.

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img Duration

6 Months

Course Details

Man-made Intelligence (Artificial Intelligence) will shape our future intensely than any other innovation in this century. Any individual who doesn’t get this, will soon find themselves deserted, lost in a world brimming with magic created by AI.

The current pace of technological advancements is already astonishing. It’s a commonly heard that “data is the new gold”. Multi-National Companies, Banks, Health care and all other type of businesses are leveraging AI to grow and prosper more.

From a small mobile game to predicting stock prices for your company, AI is everywhere.Google Assistant,Siri,Cortana, Alexa all of them are AI’s products. They are handling nearly half of the searches in the world.

Becoming a part of it will not only boom your career growth but will also make you more creative and visionary.

 

Curriculum:

  • INTRODUCTION TO AI AND ML
  •  Lecture1.1Intro to AI and ML 
  •  Lecture1.2Environment Setup for ML 
  •  Lecture1.3Basics of ML 
  •  Lecture1.4How a model works in ML 
  • PYTHON FOR ML
  •  Lecture2.1Python Programming Basics 
  •  Lecture2.2Introduction to Python libraries used for ML 
  •  Lecture2.3Functions 
  •  Lecture2.4Booleans and Conditionals 
  •  Lecture2.5Lists 
  •  Lecture2.6Loops and List Comprehensions 
  •  Lecture2.7Strings and Dictionaries 
  •  Lecture2.8Inbuilt Functions 
  •  Lecture2.9Data Manipulation using Numpy 
  •  Lecture2.10Pandas Introduction 
  •  Lecture2.11Importing and Exporting different type of data 
  •  Lecture2.12Dataframe Manipulation using pandas 
  • CASE STUDY-1
  •  Lecture3.1Data Manipulation on ‘IRIS Dataset’ 
  • STATISTICS FOR ML
  •  Lecture4.1Introduction to Statistics for ML 
  •  Lecture4.2Methods of dispersion 
  •  Lecture4.3Methods of Central Tendency 
  •  Lecture4.4Z-Score,T-scores 
  •  Lecture4.5CLT 
  •  Lecture4.6Confidence Intervals 
  •  Lecture4.7ANOVA,CHI Square,F-Test 
  •  Lecture4.8Distributions and its types 
  • LINEAR MODELS
  •  Lecture5.1Introduction to Linear Models 
  •  Lecture5.2Linear Regression 
  •  Lecture5.3Logistic Regression 
  •  Lecture5.4Model Plots 
  •  Lecture5.5Model Validation and Evaluation 
  • CASE STUDY-2
  •  Lecture6.1Binary Classification -’Heart Disease Prediction’ using Logistic Regression 
  • DATA VISUALIZATION
  •  Lecture7.1Introduction to Matplotlib 
  •  Lecture7.2Charts and Graphs with Matplotlib 
  •  Lecture7.3Introdcution to Seaborn 
  •  Lecture7.4Plots with Seaborn 
  •  Lecture7.5EDA practice problem 
  • Mohali Branch

    Plot No. IT-C-6, I.T.Park Sector-67, Mohali

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