Machine Learning with Python

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Rating: 4
5800 people enrolled
Duration : 25h
Lessons : 24
Course Instructor: kranthikunta
Last Updated : Oct. 9, 2024, 3:54 p.m.
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₹ 15000/-

₹ 4999/-

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  • Level: Intermediate

  • Duration: 25h

  • Lessons: 24

  • Lifetime Access

  • Access From Any Computer, Tablet or Mobile

About the course

This machine learning tutorial helps you gain a solid introduction to the fundamentals of machine learning and explore a wide range of techniques, including supervised, unsupervised, and reinforcement learning. Machine learning (ML) is a subdomain of artificial intelligence (AI) that focuses on developing systems that learn—or improve performance—based on the data they ingest. Artificial intelligence is a broad word that refers to systems or machines that resemble human intelligence. Machine learning and AI are frequently discussed together, and the terms are occasionally used interchangeably, although they do not signify the same thing. A crucial distinction is that, while all machine learning is AI, not all AI is machine learning.

Course Content

  • ML & Python Basics
  • Python Basics: Operators & Control Flow
  • Intro to Google Colab
  • OOP & Functional Programming
  • Python Packages in Colab
  • Modules & Packages
  • Exploratory Data Analysis
  • Regression Techniques
  • Classification Basics
  • Advanced Classification
  • Unsupervised Learning
  • ML Implementation in Python
  • Deep Learning & ANN
  • ANN Implementation
  • Convolutional Neural Networks
  • CNN Implementation
  • RNN & LSTM Basics
  • LSTM Implementation
  • Natural Language Processing
  • Time Series Analysis
  • Deep Learning Frameworks
  • Model Deployment
  • Minor Project
  • Major Project
  • Admission Process

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