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AI/ML

Sub Categories

AI/ML Courses

  • 28 Classes

Learn the Fundamental Concepts of Artificial Intelligence and Machine Learning as the Next Game-Changing Technology

  • 2500
    20000
What you will learn
  • Artificial Intelligence, Machine Learning and Deep Learning
  • Applied vs. Generalized AI
  • Features, Labels, Examples
  • The Process of Training a Model
  • Under-fitting and Over-fitting
  • Supervised/Unsupervised Learning
  • Classification and Regression
  • Clustering and Dimension Reduction
  • Reinforcement Learning

  • 41 Classes

Learn the Python Fundamentals and Pandas Library for Data Science Projects

  • 2500
    20000
What you will learn
  • Python for Data Science and Machine Learning Projects
  • Learn to use the Pandas Data Science Library
  • JupyterLab Development tool
  • Develop Jupyter Notebooks
  • Loading and Analysing Tabular Datasets
  • Selecting, Filtering, and Cleaning Data
  • Grouping, Sorting, and Exporting Data

  • 39 Classes

Learn to Master Data Visualization and perform Exploratory Data Analysis (EDA) using Python, Matplotlib and Seaborn

  • 2500
    25000
What you will learn
  • Perform Exploratory Data Analysis (EDA) for any Dateset
  • Visualise Data using a Variety of Charts Types
  • Learn Matplotlib and Seaborn Fundamentals
  • Creating Bar, Grouped Bar, Stacked Bar, Lollipop charts
  • Creating Pie, Tree-map charts
  • Creating Line, Area, Stacked Area charts
  • Creating Histogram, Density, Box-and-Whisker, Swarm charts
  • Creating Scatter, Correlogram, Heat-Map, Hexbin-Map charts