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Machine Learning Masterclass (Python) 

  • Offered byPantech e Learning

Machine Learning Masterclass (Python)
 at 
Pantech e Learning 
Overview

Learn Machine Learning in the contemporary era of data-driven decision-making and technological advancements

Duration

27 hours

Total fee

1,500

Mode of learning

Online

Official Website

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Credential

Certificate

Machine Learning Masterclass (Python)
 at 
Pantech e Learning 
Highlights

  • Online support through forums
  • All Video access for 3 Months
  • Assignments
  • 10+ Projects
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Details Icon

Machine Learning Masterclass (Python)
 at 
Pantech e Learning 
Course details

What are the course deliverables?
  • Introduction to ML And AI
  • Python code in google colab, Jupyter notebook
  • Liver disease Prediction (Logistic Regression)
  • Crime Analysis (KNN Algorithm)
  • Classifying muffins and cupcakes (SVM Algorithm)
  • Fake news detection (Naïve Baye’s)
  • Android malware (Decision tree)
  • Credit_card Fraud detection
  • Evaluating the classification model – Confusion matrix , Calculating the accuracy score
  • Classification model selection For Breast Cancer Classification
  • Employee Salary Prediction (Linear Regression Single Variable)
  • Advertisement and Sales Prediction (Multiple Linear Regression)
  • Generating Data points based on some equation Polynomial Regression
  • Student marks prediction (Support Vector Regression.)
  • Cream shop revenue prediction from temperature Decision Tree Regression
  • Agriculture Price Prediction - (Random Forest Algorithm)
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More about this course
  • This course on Machine Learning will provide the learners with all the concepts of ML in depth.
  • This course has been designed suitably to provide insights into each and every application of ML . Detailed analysis of ML Algorithms will provide a better understanding on Machine Learning Implementation
  • This course equip participants with a strong foundational understanding of ML concepts, practical skills through live projects, and the ability to apply Machine Learning techniques in diverse real-world scenarios

Machine Learning Masterclass (Python)
 at 
Pantech e Learning 
Curriculum

Introduction to ML And AI

Python Programming - Fundamentals

Python Programming - Fundamentals

Python – Tools

Syntaxes & Data Structures

Tools & syntaxes

Tools & syntaxes

ML Concepts

ML Concepts

ML Concepts

Pandas

Pandas Library

Pandas Library

Pandas – Data Structures

pandas - data structures

Data Structures

Numpy library - Array Operations

Mathematical Functions

Numpy library - Array Operations

Mathematical Functions

Numpy library - Array Operations

Mathematical Functions

Numpy - Sort , Search and Counting Functions

Byte Swapping

Numpy - Sort , Search and Counting Functions

Byte Swapping

Numpy - Sort , Search and Counting Functions

Byte Swapping

Matplotlib , Histogram Using Matplotlib

I/O With Numpy

Histogram using Matplotlib with Numpy

Matplotib, Matplotlib , Histogram Using Matplotlib IO With Numpy

Matplotlib Library - Introduction , Pyplot API

Types Of Plots

Matplotlib Library - Introduction , Pyplot API

Types Of Plots

Classification & Confusion Matrixes

Seaborn Library

seaborn library

ML-Master class - seaborn Downloadable

SKLearn Library

Employee Salary Prediction using Linear Regression

Employee Salary Prediction using Linear Regression

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Machine Learning Masterclass (Python)
 at 
Pantech e Learning 

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