English | Size: 10.45 GB
Genre: eLearning
What you’ll learn
Data mining & Machine Learning – [A -Z] Comprehensive Training with Step by step guidance
Supervised Learning – (Univariate Linear regression, Multivariate Linear Regression, Logistic regression, Naive Bayes Classifier, Trees, Support Vector Machines, Random Forest)
Unsupervised Learning – Clustering, K-Means clustering
Evaluating the Machine Learning Algorithms : Precision, Recall, F-Measure, Confusion Matrices,
Data Pre-processing – Data Preprocessing is that step in which the data gets transformed, or Encoded, to bring it to such a state that now the machine can easily parse it.
Deep Convolutional Generative Adversarial Networks (DCGAN)
KERAS Tutorial – Developing an Artificial Neural Network in Python -Step by Step
Java Programming For Data Scientists
Python Programming Basics For Data Science
Algorithm Analysis For Data Scientists
Web Development for Data Scientists
Data Visualization
500+ Artificial Intelligence Projects with source
40 Machine Learning Algorithms with source code and guided tutorial 00:00
Who this course is for:
Anyone who wish to start a career in Data mining & Machine Learning
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