Courses

Introduction to MLOps in Python
Coding Course

Introduction to MLOps in Python

This course introduces a modern approach for managing large-scale machine learning solution using the different principles of MLOps and applies them o
  • 3 bar graph
    Difficulty: Advanced
  • Asset 1
    Duration Approximately 6 hours
Control Flow in Python
Coding Course

Control Flow in Python

This course introduces control flow concepts in Python and covers all the techniques with examples and adequate coding exercises so as to provide a co
  • 1 bar graph
    Difficulty: Beginner
  • Asset 1
    Duration: Approximately 2.5 hours
Functions in Python
Coding Course

Functions in Python

This course introduces the core concepts of developing Functions in the Python Programming language and their application in different aspects.
  • 1 bar graph
    Difficulty: Beginner
  • Asset 1
    Duration: Approximately 2.5 hours
Recurrent Neural Networks in Python
Coding Course

Recurrent Neural Networks in Python

This course introduces the fundamental concepts underlying Recurrent Neural Network and how to train them using backpropagation through time, using Py
  • 3 bar graph
    Difficulty: Advanced
  • Asset 1
    Duration: Approximately 8 hours
Data Structures in Python
Coding Course

Data Structures in Python

This course covers different Python data structures such as lists, sets or dictionaries and their application in programming to perform complex data a
  • 1 bar graph
    Difficulty: Beginner
  • Asset 1
    Duration: Approximately 3 hours
Naive Bayes in Python
Coding Course

Naive Bayes in Python

This course introduces the learner to the underlying aspects of the Naive Bayes algorithm and deals in detail with the concepts of probability theory,
  • 2 bar graph
    Difficulty: Intermediate
  • Asset 1
    Duration: Approximately 4 hours
Scripting in Python
Coding Course

Scripting in Python

This course explains how to efficiently write Python Scripts that can be used for performing complicated tasks and reuse existing modules and packages
  • 1 bar graph
    Difficulty: Beginner
  • Asset 1
    Duration: Approximately 2.5 hours
Sentiment Analysis in Python
Coding Course

Sentiment Analysis in Python

This course accomplishes the task of Sentiment Analysis through the mixture of text preprocessing techniques and machine learning algorithms.
  • 3 bar graph
    Difficulty: Advanced
  • Asset 1
    Duration: Approximately 6 hours
Tree Models in Python
Coding Course

Tree Models in Python

This course covers a detailed explanation of tree-based models and their application in both regression and classification tasks and their Python impl
  • 3 bar graph
    Difficulty: Advanced
  • Asset 1
    Duration: Approximately 6 hours
Clustering Algorithms in Python
Coding Course

Clustering Algorithms in Python

This course provides a comprehensive understanding of  clustering techniques of unsupervised learning and implement them in the Python programming la
  • 3 bar graph
    Difficulty: Advanced
  • Asset 1
    Duration: Approximately 6 hours
Logistic Regression in Python
Coding Course

Logistic Regression in Python

This course will focus on providing exposure to building a logistic regression model and interpreting the results of the model as well.
  • 2 bar graph
    Difficulty: Intermediate
  • Asset 1
    Duration: Approximately 4 hours
Boosting Algorithms in Python
Coding Course

Boosting Algorithms in Python

This course provides a comprehensive understanding of boosting algorithms which are frequently used in data science along with their Python implementa
  • 3 bar graph
    Difficulty: Advanced
  • Asset 1
    Duration: Approximately 6 hours
Load More