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Artificial Intelligence Syllabus

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  • Artificial Intelligence Syllabus

Learn More Technologies - Bangalore Artificial Intelligence Syllabus Prerequisites - Python Programming

  • Introduction to AI
  • Difference between DataScience/AI/ML
  • Key-skills require
  • Industries use cases

  • Pandas
  • Numpy
  • Scikit Learn
  • Mat-plotlib
  • Seaborn

  • Reading CSV File
  • Excel
  • Json File
  • Exporting data to CSVfile
  • Excel
  • Reading the data from database

  • Cleaning Data
  • Cleaning Data
  • Cleaning Empty Cells
  • Cleaning Wrong Format
  • Cleaning Wrong Data
  • Removing Duplicates

  • Window Functions
  • Aggregations
  • Missing Data
  • GroupBy
  • Merging/Joining
  • Concatenation
  • Date Functionality
  • Timedelta

  • Central Tedency
  • Mean
  • Median
  • Mode
  • Skewness
  • Normal Distribution

  • what is Probability
  • Types of probility
  • Probability Additive
  • Theorem
  • Probability
  • Multiplecative Theorem
  • Probability Bayes
  • Theorem

  • Data Deviation
  • Variance

  • Underfitting
  • Overfitting

  • Manhattan
  • Ecludean

  • What is outliers
  • Iner Quartile Range
  • Box & Whisker plot
  • Upper whisker
  • Lower whisker
  • Scatter Plot
  • Handling outliers
  • Formula of outliers
  • How its impact on
  • Mean,Median,Mode

  • Pearson correlation
  • Postitve correlation
  • Negative correlation

  • Mean Absolute Error (MAE)
  • Mean Squared Error (MSE)
  • R-squared (R²) Score
  • Root Mean Squared
  • Error (RMSE)

  • Mean Absolute Error (MAE)
  • Mean Squared Error (MSE)
  • R-squared (R²) Score
  • Root Mean Squared
  • Error (RMSE)

  • Confusion Matrix

  • Machine Learning Tutorial
  • Machine Learning Applications
  • Life cycle of Machine Learning
  • Install Anaconda & Python AI vs Machine Learning
  • How to Get Datasets
  • Data Preprocessing
  • Supervised Machine Learning
  • Unsupervised Machine Learning
  • Supervised vs Unsupervised Learning

  • Regression Analysis
  • Linear Regression
  • Simple Linear Regression
  • Multiple Linear Regression
  • Lasso Regression

  • Classification Algorithm
  • Logistic Regression
  • K-NN Algorithm
  • Naïve Bayes Classifier
  • Deep Learning

  • Installation of Keras library in
    Anaconda
  • Keras Backends
  • Keras Models
  • Keras layers

  • Regression Analysis
  • Linear Regression
  • Simple Linear Regression
  • Multiple Linear Regression
  • Lasso Regression

  • Keras Core Layers
  • Convolutional Layer
  • Pooling Layers
  • Locally-Connected layers
  • Recurrent Layers
  • Embedding Layers
  • Keras Merge Layers

  • TensorFlow -
  • Introduction
  • TensorFlow -
  • Installation
  • TensorFlow - Basics
  • TensorFlow - Keras
  • TensorFlow - Distributed Computing

  • Deep Learning open link
  • Artificial Neural
  • Network
  • Convolutional Neural
  • Network
  • Recurrent Neural
  • Network
  • Self-Organizing

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