Integrated Development Environment / IDE

Integrated Development Environment / IDE

The Episode discusses what is an IDE, different IDE's available for Machine Learning, where to install IDE's, how to get started, which software to download, where to find the software. The utility of the software.

What makes an IDE smart and intelligent.

Website

https://www.anaconda.com/products/individual

https://machinemantra.in/

YouTube

https://youtu.be/kLmRQLHajgw

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Avsnitt(20)

Collaboration

Collaboration

Hi So if anyone wants to collaborate, I will be glad to offer my assistant. Reach me out sharma25prianca@gmail.com Instagram machinemantra YouTube Channel: Machine Learning by Priyanka Sharma

29 Maj 202128s

Predictive Modeling and Predictive Analysis in Machine Learning

Predictive Modeling and Predictive Analysis in Machine Learning

The episode explains what is meant by predictive modeling and predictive analysis in Machine Learning, bringing out the differences between the two.

12 Sep 20204min

R and Python Comparison

R and Python Comparison

The episode discusses why R and Python are really popular languages in the Data Science community. The similarity and differences between the two languages in an elaborate manner.

11 Sep 20208min

Feature Engineering in Machine Learning

Feature Engineering in Machine Learning

The episode discusses what is feature engineering in Machine Learning, what are various techniques used in Machine Learning like Imputation, Scaling, One hot encoding, and much more. Website: https://...

6 Sep 20208min

Regression Metrics in Machine Learning

Regression Metrics in Machine Learning

This episode discusses various types of Regression Metrics in Machine Learning. Most common Regression metrics like Mean Absolute Error (MAE), Mean Squared Error (MSE), RMSE, R squared, and Adjusted R...

6 Sep 20207min

Classification Metrics in Machine Learning

Classification Metrics in Machine Learning

This episode discusses what is a Machine Learning Metric, various types of Metrics. Going further in detail of Classification Metrics like Accuracy, ROC, Log loss, Confusion Matrix, and Classification...

6 Sep 20208min

Unsupervised Machine Learning Algorithms

Unsupervised Machine Learning Algorithms

This Episode discusses various unsupervised Machine Learning Algorithms like Clustering and Dimensionality Reduction Algorithms. Various Applications of Clustering and Dimensionality Reduction (PCA) ...

2 Sep 20206min

Supervised Machine Learning Algorithms

Supervised Machine Learning Algorithms

The episode discusses various Supervised Machine Learning Algorithms like Classification Algorithms and Regression Algorithms. This will give a basic idea and working knowledge about the different sup...

2 Sep 202010min

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