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Machine Learning with Python 2024

Home Courses Machine Learning with Python 2024

Course Overview

13
6 - 12 hours 5h 14m | 38 Videos | 28742 Views | Expert  Expert
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Machine Learning with Python 2022

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Curriculum

1. Introduction

  • Overview Python Data Science and Machine Learning
  • Introduction to Course
  • What is Machine Learning
  • Life Cycle

2. Numpy Library

  • Introduction to Numpy Library
  • Creating Arrays from Scratch
  • Creating Arrays from Scratch Continued
  • Array Indexing and Slicing
  • Numpy Array Functions and Shape Modification
  • Mathematical Operations on Numpy Arrays
  • Introduction to Pandas Library
  • Working with Pandas DataFrames
  • Slicing and Indexing with Pandas
  • Create DataFrame and Explore Dataset
  • Data Analysis with Pandas DataFrame
  • Other Useful Methods in Pandas Library

3. Matplotlib

  • Introduction to Matplotlib
  • Customizing Line Plots
  • Create Plot Using DataFrame
  • Standard Scaler to Scale the Data
  • Encoding Categorical Data
  • Sklearn Pipeline and Column Transformer
  • Evaluation Metrics in Sklearn
  • Linear Regression
  • Evaluation of Linear Regression Model

4. Polynomial Regression

  • Polynomial Regression
  • Polynomial Regression Continued
  • Sklearn Pipeline Polynomial Regression
  • Decision Tree Classifier
  • Decision Tree Evaluation
  • Random Forest
  • Support Vector Machines
  • Kmeans Clustering
  • KMeans Clustering - Hands On
  • Data Loading and Analysis
  • Dimensionality Reduction with PCA
  • Hyper Parameter Tuning
  • Summary

5. Reference File

  •  Reference File
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