Which environment is best for machine learning?

Name: Environment Setup part 2
Uploaded: 2022-03-21 01:44:49
Description: This tutorial will introduce you to the process of setting up your Python environment for unsupervised learning. It will cover installation and configuration of any necessary packages.

Question

Accepted Answer

Google Colaboratory. It's a cloud service that can be easily accessed to develop products and projects, provided by Google.
IBM Watson.
Kaggle Kernel.
Coclac.
Microsoft Azure.

Environment Setup part 2

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Which environment is best for machine learning?

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Course Content

Introduction to Machine Learning

Environment Setup part 1

Environment Setup part 2

Environment Setup part 3

Data Wrangling

Importing Libraries and Dataset

Handling Missing Data

Handling Missing Data - Practical

Encoding Categorical Data

Encoding Categorical Data - Practical

Splitting Dataset

Splitting Dataset - Practical

Normalizing the Data - Part 1

Normalizing the Data - Part2

Finding Machine Learning Datasets

Exploratory Data Analysis

Plotting Graphs - Part 1

Plotting Graphs - Part 2

Distribution Models - Part 1

Distribution Models - Part 2

Assignment of Data Preprocessing for Machine Learning

Machine Learning Paradigms

Sampling Methods

Underfitting and Overfitting in Models

Variance and Bias

Distance Metrics

K-Means Clustering

K-Means Clustering - Practical

Hierarchical Clustering - Agglomerative , Divisive

Agglomerative Clustering - Practical

Divisive Clustering - Practical

DBscan Spatial Clustering

FP Growth

Assignment of Unsupervised Learning Algorithms

Overview of Dimensionality Reduction

Principal Component Analysis

Princinpal Component Analysis - Practical

Linear Discriminant Analysis

Linear Discriminant Analysis - Practical

Assignment of Dimensionality Reduction

Advance Trends in Machine Learning

Course Summary

Interview Questions part 1

Interview Questions part 2

Interview Questions part 3

Career Guidelines